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Transcript of DIGITAL AND WIRELESS COMMUNICATION TECHNOLOGY’S CONTRIBUTION TO ENTREPRENEURSHIP DEVELOPMENT: CASE...
DIGITAL AND WIRELESS COMMUNICATION TECHNOLOGY’S
CONTRIBUTION TO ENTREPRENEURSHIP DEVELOPMENT:
CASE STUDY OF KISUMU WEST DISTRICT
BY
MESHACK OTUNGE OKONG’O
REGISTRATION NUMBER: CAN/2010/PGD/KEN/0303
A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF
THE REQUIREMENT OF THE DEGREE OF MASTERS OF
SCIENCE IN DIGITAL AND WIRELESS COMMUNICATION
AT EUROPEAN BUSINESS SCHOOL
MAY 2012
DECLARATION BY CANDIDATEI Meshack Otunge Okong’o, declare that this is my
original work and that it has never been presented to
any institution for award of any diploma, conferment of
any degree or for any other purpose.
Signed: …………………………………
Date……………….
DECLARATION BY SUPERVISORS
This project has been submitted with my approval as the
appointed Supervisor.
Signature……………………….
Date……………………
Name: …………………………………… … Date……………………
Signed: ………………………………………
Head of missions: ……………………………..
Date………………….
ii
COPY RIGHTCopyright © 2012 Meshack Otunge Okongo
All rights reserved. No part of this publication shall
be produced or transmitted in any form or by any means
without the prior permission from the author or the
institution to which the author presented it to for
conferment of a Master of Science degree.
iii
ACKNOWLEDGEMENTI express my sincere appreciation to all those teachers
who took part in shaping my social and academic life.
v
To my wife Benerdette Caroline Anyango Olwenyo I show
my gratitude to you for always being with me during the
trying moments while in pursuit of knowledge. You
edited my work thanks.
To Mr. John Ochieng’ Gwara I am grateful for being
supportive to let me carry out my research work and
industrial attachment for 4 months without any problem.
Special thanks to employees of Kenya Broadcasting
Corporation (K.B.C) for giving me easy time during my
industrial studies at your firm in Kisumu which has
contributed greatly in my scholarly work.
vi
ABSTRACTThe purpose of the study was to investigate the causes
of low penetration levels of digital and wireless
communication in the study area, the relationship
between investment in the technology and
entrepreneurship development and establishing suitable
means of using the technology to support
entrepreneurship development in the area.
This research was qualitative in nature. Here, a case
study was chosen as an effective method to answer the
relevant research questions. Population targeted was
150 persons. Only entrepreneurs and customers using or
consuming or trading in gadgets of this technology were
considered or targeted for the purpose of the study.
Area sampling technique was used for in this study. The
area was divided into geographical regions as; Maseno
division and Kombewa division of Kisumu west district
of Kisumu County. Respondents were later picked by use
of judgmental sampling technique within the
geographical regions herein described. A sample of 90
respondents was then extracted from the target
population using the formula developed by Naasiuma
vii
(2000). The data for this study was collected through
interviews with entrepreneurs, their customers, and
heads of post secondary institutions of learning.
Questionnaire was used to collect information over a
very short period of time. The researcher used
observation while collecting data so as to be able to
get information needed in their natural state. Data was
qualitatively analyzed especially by correlation method
as appropriate.
Bar graphs, pie charts, tables and scatter diagrams
were used to present data. Computers were used to
process and present data. Excel and SPSS were used for
analysis.
From the study, the findings show that penetration of
the technology in the area is low, increased investment
in the technology caused an increase in the development
of entrepreneurship and that better application of the
technology in various area increased development of
entrepreneurship.
TABLE OF CONTENT
ContentsDECLARATION BY CANDIDATE iiDECLARATION BY SUPERVISORS..............................ii
COPY RIGHT iii
viii
DEDICATION ivACKNOWLEDGEMENT vABSTRACT viTABLE OF CONTENT viiLIST OF TABLES viiiLIST OF FIGURES ixLIST OF ABBREVIATION AND ACRONYMS xCHAPTER ONE 11.0 INTRODUCTION.........................................11.1 Background of the study..............................1
1.2 Statement of the problems............................31.3 Purpose of the Study.................................4
1.4 Research Questions...................................41.5 Justification of the Study...........................5
1.5.1 The policy makers (The government).................51.5.2 Entrepreneurs......................................5
1.5.3 Software Developers................................51.6 Definition of terms..................................5
Digital communication....................................5Entrepreneurship.........................................6
Information Communication Technology.....................6Wireless Communication...................................6
1.7 Scope of the Study...................................61.8 Chapter summary......................................6
CHAPTER TWO 82.0 LITERATURE REVIEW....................................82.1 Introduction.........................................8
2.2 What is responsible for low penetration levels of digital and wireless communication technology in Kisumu
ix
west district of Kisumu County?..........................82.2.1 Lack of infrastructure.............................8
2.2.2 Inadequate government funding and limited credit facilities...............................................9
2.2.3 Security Issues and Activities of Internet Service Providers...............................................10
2.2.4 Poor leadership and deception by those who fear change..................................................10
2.3 What is the relationship between investment in digitaland wireless communication and entrepreneurship development in Kisumu?..................................122.4 How can penetration and use of digital and wireless communication technology be promoted to foster entrepreneurship development in Kisumu County?..........16
2.4.1 Promoting penetration of digital and wireless communication technology................................16
2.4.2 Best means of using digital and wireless communication technology to foster entrepreneurship development in Kisumu County...........172.5 chapter summary.....................................18
CHAPTER THREE 193.0 METHODOLOGY.........................................193.1 Introduction........................................19
3.2 Research design.....................................193.2.1 Target population.................................20
3.2.2 Sampling technique and sample size................203.2.2.1 Sampling technique..............................20
3.2.2.2 Sample size.....................................213.3 Data collection methods.............................22
3.3.1 Interviews........................................223.3.2 Questionnaires....................................22
x
3.3.3 Observation.......................................233.4 Data collection procedures..........................23
3.5 Data analysis and presentation......................233.6 Chapter summary.....................................24
CHAPTER FOUR 254.0 RESEARCH FINDINGS...................................254.1 Introduction........................................25
4.2 What is responsible for low penetration levels of the technology in Kisumu County?............................26
4.2.1 Is electricity in adequate supply enough to encourage the use of digital and wireless communication inthe county?.............................................264.2.2 Is your business area supplied with good broadcast and telecommunication facilities so as to support the use of digital and wireless communication?..................27
4.2.3 Are there good transport networks in your place of operation to spur faster penetration of the technology in the County?.............................................294.2.4 Has the government been giving enough financial assistance to support the high penetration rates and use of digital and wireless communication in the county?....31
4.2.5 Have other stakeholders been giving adequate credit facilities to encourage the use of digital and wireless communication technology?...............................324.2.6: Do you accept that security issues are among the many other things which are hampering the, would be rapid penetration and use of the technology?..................34
4.2.7 Do you agree that civil unrests have caused the slowpenetration rate of the technology in the county?.......36
4.2.8 Is it true to say that many people fear change and are resisting the use of digital and wireless communication hence low penetration of this technology?.38
xi
4.2.9 Is it true to say that political leaders are very slow in formulating policies to regulate the use of the technology hence, causing fear to adopt the technology among residence of Kisumu west district in the county of Kisumu?.................................................414.2.10 Is corruption responsible for poor telecommunication network in the county and so causing slow penetration of the technology?.....................43
4.2.11 Do you believe that the technology is carcinogenic to human beings thereby causing its slow penetration?...44
4.2.12 Do you believe that once people get to use this technology the persons working in such fields shall be rendered jobless and some trade unions are advocating against the use of digital and wireless communication technology?.............................................464.2.13 Do you accept that high taxation by the government is a threat to penetration and subsequent use of this technology?.............................................48
4.2.14 Do you accept that some persons feel that the technology is highly responsible for moral decadence in our society; that its use should be discouraged hence causing its low penetration in the county?..............49
4.2.15 Is the high cost of hardware and software a hindrance to penetration of the technology in the county?........................................................514.3. What is the relationship between investment in digital and wireless communication technology and entrepreneurship development in Kisumu west district?...53
4.3.1. Give the number of employees engaged as appropriateagainst an estimate of your investment in the technology53
4.3.2. Kindly give estimate value of educational material obtained through this technology in relation to the value of investment in the technology at the time.............54
xii
4.3.3. Estimate the value of health services extended to your customers while using this technology corresponding to approximate value of your in the technology (Health workers)................................................56
4.3.4. Estimate the volume of your sales through the technology corresponding to the appropriate values of yourinvestment in digital and wireless communication technology..............................................57
4.3.5. Estimate the time saved in terms of hours corresponding to your investment in the technology i.e. ata certain value of investment, how much in terms of time were you able to save in the course of your business dealings in one month?..................................594.3.6. Make an estimate value of your yields from your farm against your investment in the technology. (For thoseengaged in M-farming)...................................60
4.3.7. Give an estimate number of customers reached using the technology against investment in the technology.....62
4.3.8. Give an estimate value of goods you were able to detect their expiry date using the technology and the value of your investment in technology at the time (Healthworkers and sellers of edible commodities)..............63
4.3.9. State how much was saved in terms of travelling cost when the cost of investment in technology was as indicated...............................................654.3.10. State how many friends you created when the cost of your investment was as follows.......................664.3.11. Give an estimate value of savings on consultancy charges on poverty alleviation projects that you have managed to get while using this technology and corresponding investment at the time. (Community based organizations)..........................................68
4.3.12. Give an estimate value of cash that the technologyhas ever helped you to save from misappropriation (if any) and
xiii
the corresponding value of investment in the technology atthe said time...........................................69
4.3.13. Give an estimate number of people you have ever talked about leadership of an organization through the technology and the corresponding value of your investment in the technology at the time...........................71
4.3.14. Give an estimate number of decisions made after applying the technology to search for suitable decisions against your investment in the said technology..........724.3.15. What was your cost of paying your bills compared to your investment in the technology? (The cost here excludes the bill itself)...............................74
4.4 How can penetration and use of digital and wireless communication technology be enhanced to promote entrepreneurship development in Kisumu west district of Kisumu County?..........................................76
4.4.1. Do you believe that causing software to be versatile to do arrange of activities e.g. sending money, withdraw, apply and receive loans and other transactions would help in developing entrepreneurship in the district?........................................................764.4.2. Do you accept that in cooperating the technology toaddress health issues shall foster entrepreneurship growthin the district?........................................77
4.4.3: Can using technology to disseminate knowledge enhance development of entrepreneurship in the district?78
4.4.4. Do you believe that using the technology in carrying out market research can promote growth in entrepreneurship in the district?.......................804.4.5. Can the technology be used to enhance security consequently, fostering development in entrepreneurship?814.4.6. Is it true to say that using technology to monitor leadership personalities enhances entrepreneurship growth?........................................................82
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4.4.7. Is Using technology to perform operations that would be dangerous to human beings be vital in promoting production and entrepreneurship development?............844.4.8.Can the technology can be used to reinforce social fabrics of the society through social sites and hence promote entrepreneurship as entrepreneurs are members of the society and cannot live in isolation?...............854.4.9. Is it true that using the technology can be used tostrengthen the bond between customers and those who sell to them commodities?....................................86
4.4.10. Is it in order to say that technology can be used to bring close services to the people so as to encourage business potential and eliminate unnecessary delays in business transactions?..................................88
4.4.11. Is it true that using technology to collect revenue from customers will eliminate corruption and enhance service delivery to its citizen entrepreneurs inclusive?..............................................89
4.4.12. Is using technology able to create jobs hence helping potential entrepreneurs to accumulate capital required for their intended businesses?.................904.4.13. Do you believe that technology would be used to monitor our roads and ease congestion in the roads hence facilitating movement of goods and services?............92
4.4.14. Can technology be used to promote creativity and innovation to help in solving various problems?.........93
4.4.15. Do you accept the technology would be used to facilitate quicker decision making, healthy for entrepreneurs?..........................................944.4.16 Do you agree that campaigns can be launched and used to popularize and encourage penetration of the technology in the study area?...........................96
4.4.17 Do you agree that research and innovation can encourage penetration of the technology?................97
xv
4.4.18 Do you agree that initiating poverty alleviation projects can encourage penetration of the technology in the area?...............................................984.4.19 Do you believe that doing a way with expatriates and engaging locals in the technology can cause high penetration rates of the technology in the area?.......100
4.5 Chapter summary....................................101
CHAPTER FIVE 1025.0 SUMMARY OF FINDINGS, CONCLUSIONS AND RECOMMENDATIONS.......................................................1025.1 Introduction.......................................102
5.2 Research Summary...................................1025.2.1 Purpose of the study.............................102
5.2.2 The research questions...........................1025.2.3 Research design..................................102
5.2.4 Population of the study and sampling technique...1035.2.4.1 Population of the study........................103
5.2.4.2 Sampling technique and sample size.............1035.2.4.2 .1 Sampling technique..........................103
5.2.4.2 .2 Sample size.................................1035.2.5 Data collection methods..........................104
5.2.5.1 Interviews.....................................1045.2.5.2 Questionnaires.................................104
5.2.5.3 Observation....................................1045.2.5.4 Data collection procedures.....................104
5.2.5.5 Data analysis and presentation.................1055.3 Answers to research questions......................106
5.3.1 What is responsible for low penetration levels of digital and wireless communication technology in Kisumu west district?.........................................106
xvi
5.3.1.1 Lack of infrastructure.........................1065.3.1.2 Funding........................................106
5.3.1.3 Security.......................................1075.3.1.4 Societal issues................................107
5.3.1.5 Labour issues..................................1075.3.1.6 Health issues..................................108
5.3.2 What is the relationship between investment in digital and wireless communication technology and entrepreneurship development in Kisumu west district?..1085.3.3 How can penetration and use of the technology be enhanced to promote entrepreneurship development in Kisumuwest district?.........................................108
5.3.3.1 Promoting penetration of digital and wireless communication technology...............................108
5.3.3.2 Best means of using digital and wireless communication technology to foster entrepreneurship development............................................1095.4 Conclusions........................................110
5.5 Recommendations....................................1115.5.1 Policy makers and the government.................111
5.5.2 Entrepreneurs....................................1125.2.3. Software developers.............................112
5.6 Recommendations for further studies................113
REFERENCE 114APPENDICES 122WORK PLAN/ TIME TABLE 122THE BUDGET FOR THE STUDY 123QUESTIONNAIRE 124
xvii
LIST OF TABLESTable 1: Sample size as extracted from the population
....................................................22
Table 2: Response rate..............................25
Table 3: Confirmation as to whether electricity is in
adequate supply in the county.......................26
Table 4: Support for availability of broadcast and
telecommunication facilities to support the penetration
levels and use of the technology....................28
Table 5: Support for good transport network to enhance
the penetration levels and use of the technology in the
study area..........................................30
Table 6: Support that financial aid by the government
is enough to enhance the penetration levels and use of
the technology in the study area....................31
Table 7: Support that financial aid by the government
is enough to enhance the penetration levels and use of
the technology in the study area....................33
Table 8: Support that security issues are a threat to
penetration rate and use of the technology in the area
....................................................35
Table 9: Acceptance levels that civil unrests cause
slow penetration rate of the technology.............37
Table 10: Acceptance levels that fear to change is a
cause to slow penetration rate of the technology. . . .39
Table 11: Support that financial aid by the government
is enough to enhance the penetration levels of the xviii
technology in the study area........................41
Table 12: Acceptance levels that corruption is
responsible for low penetration of the technology in
the district........................................43
Table 13: Acceptance levels that the technology is
carcinogenic to human beings........................45
Table 14: Technology shall eliminate human labour hence
render many persons jobless.........................47
Table 15: Acceptance that high taxation by the
government is a threat to penetration and use of the
technology..........................................49
Table 16: The technology is responsible for moral
decadence in our society............................51
Table 17: High cost of hardware and software necessary
for technology is a hindrance to the penetration of
this technology in the area.........................53
Table 18: The number of employees against Investment 54
Table 19: Relationship between investment in technology
and the value of educational material obtained......56
Table 20: Effects of the technology on value of health
services extended to patients.......................57
Table 21: Investment in the technology against volume
of sales............................................59
Table 22: Investment against time saved in a month. .60
Table 23: Relating investment in technology to returns
from farming activities.............................62
xix
Table 24: Relation between investment and the number of
customers contacted.................................63
Table 25: Investment against value of goods saved from
expiry by use of technology.........................65
Table 26: Investment against eliminated cost of
travelling during business activities...............67
Table 27: Investment in technology against number of
friends created or contacted monthly................68
Table 28: Investment in the technology against value of
savings in consultancy..............................70
Table 29: Relating estimated investment in the
technology to the funds saved from misappropriation due
to application of technology........................71
Table 30: Relating investment in the technology to
leadership practices................................73
Table 31: Relating investment in technology to decision
making..............................................74
Table 32: Relation between investment in the technology
and cost of paying bills............................76
Table 33: Making more versatile software............77
Table 34: Integrating the use of technology in
addressing health problems..........................78
Table 35: using digital and wireless communication
technology to disseminate knowledge.................80
Table 36: Digital and wireless communication in
carrying out market research........................81
xx
Table 37: Technology in enhancing security..........83
Table 38: Technology in monitoring leadership
personalities to jump-start entrepreneurship growth. 84
Table 39: Technology in performing dangerous operations
....................................................85
Table 40: Technology in reinforcing social fabrics of
the society hence promoting entrepreneurship
development.........................................87
Table 41: Technology in bonding customers and
entrepreneurs.......................................88
Table 42: Technology can be used to bring services
close to customers..................................90
Table 43: technology can be used to collect revenue;
eliminate corruption and enhance service delivery among
government institutions.............................91
Table 44: technology cap[able of being used to generate
job opportunites....................................92
Table 45: technology use in monitoring traffic......94
Table 46: Technology promotes creativity and innovation
....................................................95
Table 47: Technology facilitates decision making. . . .97
Table 48: Campaigns in support of the technology can
encourage its penetration in the study area.........98
Table 49: Research and innovative activities can
encourage penetration of the technology.............99
xxi
Table 50: Initiating poverty alleviation projects
encourage penetration of the technology............101
Table 51: Engaging expatriates at the expense of locals
discourages penetration of the technology..........102
Table 52: Budget...................................125
LIST OF FIGURES
Figure 1:Levels of acceptance that supply of
electricity in Kisumu west district is enough to
promote the use of digital and wireless communication
technology..........................................27
Figure 2: Supply of broadcasting and telecommunication
facilities supporting the technology use and
penetration in the study area.......................29
Figure 3: Response in support of transport being
adequate to enhance the penetration and use of the
technology in Kisumu west district..................31
Figure 4: Support that financial aid by the government
is enough to enhance the penetration levels and use of
xxii
the technology in the study area....................32
Figure 5: Degree of agreement among respondents as to
whether other stakeholders have been giving enough
funding to encourage penetration and use of the
technology in Kisumu west district..................34
Figure 6: Degree of a agreement among respondents as to
whether security issues discourage penetration and use
of the technology in the district...................36
Figure 7: Response as to whether civil unrests slow
down penetration rate of the technology in Kisumu west
district............................................38
Figure 8: Low penetration of the technology is due to
resistance to change among residents of Kisumu west
district............................................40
Figure 9: Political leaders are slow in formulating
regulations to control the use of the technology so
people are slow to adopt the technology hence, causing
its low penetration rate............................42
Figure 10: Corruption is responsible for slow
penetration of the technology in Kisumu west district
....................................................44
Figure 11: Digital and wireless communication
technology is carcinogenic to human beings..........46
Figure 12: Digital and wireless communication
technology shall eliminate human labour if put in use
....................................................48
xxiii
Figure 13: High taxation by the government slows down
penetration rate and use of the technology..........50
Figure 14: Technology promotes moral decadence among
members of the society..............................52
Figure 15: High cost of hardware and software; a
hindrance to penetration of digital and wireless
communication technology............................54
Figure 16: Relationship between investment in the
technology and the number of employees..............55
Figure 17: Relationship between technology and value of
educational material got............................56
Figure 18: Relation between technology and value of
health services extended............................58
Figure 19: Investment in technology against volume of
sales...............................................59
Figure 20: Investment in technology against time saved
in a month..........................................61
Figure 21: Relating investment in technology to returns
from farming activities.............................62
Figure 22: Relation between investment in technology
and the number of customers contacted...............64
Figure 23: Investment in technology against value of
goods saved from expiry by use of technology........66
Figure 24: Investment in technology against eliminated
cost of travelling during business transactions.....67
xxiv
Figure 25: Investment in technology against the number
of friends contacted or created using the technology 69
Figure 26: Investment in technology against value of
savings in consultancy..............................70
Figure 27: Relating investment in technology to funds
saved from misappropriation.........................72
Figure 28: Relating investment in technology to
leadership practices................................73
Figure 29: Relating investment in technology to
decision making.....................................75
Figure 30: Relation between investment in technology
and cost of paying bills............................76
Figure 31: Versatile software.......................78
Figure 32: Using the technology to solve health related
problems............................................79
Figure 33: Using the technology to foster knowledge
dissemination.......................................81
Figure 35: Using technology in market research......82
Figure 36: Digital and wireless communication in
promoting security in the regiopn...................83
Figure 37: Using technology to monitor leadership
personalities enhances entrepreneurship growth......85
Figure 38: Using technology to do activities considered
dangerous to human beings encourage entrepreneurship
practices...........................................86
xxv
Figure 39: Technology can be used to promote moral
virtues in the society..............................88
Figure 40: Use of technology creates strong bond
between enterprenuers and consumers.................89
Figure 41: Technology can be employed to bring goods
and services close to customers.....................90
Figure 42: Technology in collecting revenue and
eliminating corruption hence encouraging better service
delivery by the government..........................92
Figure 43: Technology can be used to create job
opportunities.......................................93
Figure 44: Technology can be used to monitor traffic
conditions in our roads to enhance traffic flow.....95
Figure 45: Using technology in promoting creativity and
innovation..........................................96
Figure 46: Use of technology in fastening decision
making..............................................97
Figure 47: The technology penetration can be enhanced
through positive campaigns..........................99
Figure 48: Research and innovative practices promotes
penetration levels of the technology...............100
Figure 49: Establishing poverty alleviation projects
would foster quicker penetration of the technology in
the area...........................................102
xxvi
Figure 50: Engaging locals while minimizing the number
of expatriates in the technology sector promotes its
penetration in the study area......................103
LIST OF ABBREVIATION AND ACRONYMS
ALIN: Arid Land Information Network
ICT: Information communication technology
ISP: Internet service providers
KRA: Kenya Revenue Authority
SIM: Subscriber Identity Module
VAT: Value added tax
xxvii
CHAPTER ONE
1.0 INTRODUCTION
1.1 Background of the study
Harnessing digital and wireless communication technology to
promote entrepreneurship development has been hampered by a
number of factors such as poor funding and lack of qualified
Information Communication Technology (ICT) personnel (Kessy,
Kaemba and Gachoka, 2007).
According to Obijofor, Inayatallah and Setevenson (2005)
power unreliability, management attitude and poor ICT skills
holds back the penetration of digital and wireless
communication technology.
Rusenberg (2006) elucidated the challenge to the technology
use and attributed it to lack of software standardization.
Where standardization is lacking, it is very difficult to
have software and hardware materials being used across the
boarders. Each area having its own standards limits the use
of the same item in another region and by extension impacts
negatively on the penetration levels of digital and wireless
communication technology.
Odedra (1992) opines that culture is a strong factor that
indicates if technology is to be accepted or not accepted;
and is a problem that has hindered the use of digital and
1
wireless communication technology in Africa. Gardener (1994)
pointed out human resource vendor and maintenance, culture,
funding, education and training as key factors that
discourage the use of the technology in developing
countries.
A number of factors have over the years contributed to the
limited use and extent of penetration of digital and
wireless communication technology in Africa. These include
inadequate telecommunication facilities, poor level of
computer literacy even within the academic community, poor
level of computer facilities, poor levels of awareness of
internet facilities among policy makers, government
officials and the ruling class in general and minimum
involvement of academic instructions in network building.
These challenges militate against the use of digital and
wireless communication (Obijofor, et, al, 2005).
Factors standing against the effective use of digital and
wireless communication technology in developing countries
especially Nigeria were: low level of computer culture, poor
telecommunication and general lack of awareness (Omolayole,
2002)
Muga (2003) defined an entrepreneur as a person who
identifies business opportunities, marshal’s resources, and
takes action to implement and maximize on the opportunity or
take advantage of the opportunity. This individual accepts
2
financial risks and undertakes new financial ventures.
He/she has great chance of success by identifying the needs
in the market niche/ region that others have not captured
yet.
Entrepreneurship is vital in the sense that it leads to
creation of employment, reduction of poverty, equitable
distribution of resources, economic growth, and provision of
solution to socio-economic growth, political and balanced
economic growth among other benefits (Kenya ICT Board, n.
d). Digital and wireless communication technology should be
used to promote entrepreneurship development (Redfern,
2011).
Economic growth could be achieved by true entrepreneurship
development which also is related to distances we are able
to travel. Thus, the further people are, on average and able
travel, the greater the economic activity and the wealth of
the society. The increasing use of information and
communication technologies is changing the nature of this
linkage with the use of virtual mobility that renders the
distance less important, but insists that the connection
with mobility remains. If consumers spend less on transport
they would save more money which could be added to their
disposable income. Increasingly digital and wireless
communication is becoming pivotal for economic growth. By
enabling virtual mobility, the technology provides the means
3
to undertake many of the activities that have so far needed
physical transport (Lake, 2004).
1.2 Statement of the problems
Kinuthia (2009) said that ICT continues to advance in
western countries while in Africa, countries still
experience a lag in its implementation and that this
continues to widen the digital and Knowledge divides. Though
computers were introduced into Kenya in the year 1970s and
internet became available in 1993, Penetration levels of
digital and wireless communication technology have remained
low even with over 30 internet service providers (ISP) in
Kenya especially in the rural areas. This shows none
commitment on the side of ISP to provide the necessary
resources to support the use of this technology in the
country (Ford, [2007]; Internet world, [2009]).
As much as the government has been trying to promote the
adaption of digital and wireless communication technology to
drive economic development to higher levels, much has not
been achieved yet; environment is not favorable enough to
allow for the desirable penetration levels of this
technology (Nokia and World Bank, 2011). Many people still
4
find it difficult to employ this technology for fear of
falling prey to fraudsters (Nyabiange, 2011; Dafala, 2011).
Other potential users of this technology have not embraced
it because of high cost of hardware and software involved
(Ford, 2007; Kessy, Kaemba and Gachoka, 2007).
According to Nyabiange (2011) digital and wireless
communication technology applications would stimulate
creativity and promote economic growth. This is possible as
the technology allows for users of this technology to share
knowledge and research with ease. In the event of doing all
these they are able to encounter new approaches to solve
given problems which they can customize to fit their needs
hence supporting creativity and innovation.
Entrepreneurship development accounts for quicker economic
growth (Kenya ICT Board, n.d). This implies that if digital
and wireless communication technology is harnessed
appropriately to promote entrepreneurship development then
quicker economic growth shall be realized in the country.
There exists dire need of fostering entrepreneurship
development to enhance economic growth (Mugambi, 2011).
Technology advancement translates to advancement in economic
growth (Redfern, 2011; Etten and Elda, 2005; Gester
consultants, 2008). In this regard if digital and wireless
communication technology is enabled then there exist chances
of fostering economic growth in Kisumu west district in the
5
county of Kisumu. A lag in the penetration and adaptability
of this technology would therefore mean slow economic
growth.
Despite all these being highlighted much literature had not
been availed to show what factors have caused low
penetration levels of the technology in the study area, the
relationship between the investment in digital and wireless
communication technology and entrepreneurship development in
Kisumu west district and how much this technology could be
effectively harnessed to spur entrepreneurship development.
The study aimed at availing information to fill this gap.
1.3 Purpose of the Study
The purpose of the study was to investigate the causes of
low penetration levels of digital and wireless communication
technology in Kisumu west of Kisumu County in Kenya, the
relationship between investment in this technology and
entrepreneurship development and establishing suitable means
of using the technology to support entrepreneurship
development in the study area.
1.4 Research Questions
1.4.1 What is responsible for low penetration levels of
digital and wireless communication technology in the study
area?
6
1.4.2 What is the relationship between investment in digital
and wireless communication technology and entrepreneurship
development in the study area?
1.4.3 How can penetration and use of this technology be
enhanced to promote entrepreneurship development in the
study area?
1.5 Justification of the Study
1.5.1 The policy makers (The government)
The government through its various organs especially the
Kenya ICT Board aims at the achievement of information-
based society for the realization of national development
goals and objectives for wealth and employment creation. The
government will use the findings of this study to reevaluate
its activities and perhaps apply recommendations made to
improve its performance.
1.5.2 Entrepreneurs
These persons scan environment, finds opportunities and use
the opportunities to maximize profits. They will be able
adopt proposed appropriate means of using digital and
wireless communication technology for the purpose of
enhancing economic growth. As major player in the economy
7
entrepreneurs will be able to contribute in enhancing
penetration levels of this technology in the county.
1.5.3 Software Developers
The digital word has really developed over the years.
Entrepreneurs need to design and develop better software to
address needs of entrepreneurs for increased and effective
production. Software developers shall find this study
beneficial as to forming a basis upon which to develop new
software to suit the ever growing demands and needs of
entrepreneurs and their clients.
1.6 Definition of terms
Digital communication
Thesaurus Dictionary (2008) defines digital communication as
an electronic transmission of information that has been
encoded digitally (as for storage and processing by
computers)
Entrepreneurship
Entrepreneurship is the process of starting up and
continuing to expand new business (Bwisa, 2011)
Information Communication Technology
8
This is a set of activities that are facilitated by
electronic means: the processing, transmission and display
of information (Estavillo, 2004).
Wireless Communication
Baruch (2000) defines wireless communication as a term used
to describe telecommunication in which electromagnetic waves
(rather than some form of wire) carry the signal over part
or the entire communication path. He clarifies that some
monitoring devices for example intrusion alarms, employ
acoustic waves at frequencies above the range of human
hearing but, they are also classified as wireless.
1.7 Scope of the Study
The study confined itself to the activities of
entrepreneurs, their customers and their employees in
relation to the use of digital and wireless and
communication technology. The study was conducted in Kisumu
west in the County of Kisumu that was having the following
divisions: Maseno and Kombewa divisions.
The research does not claim perfection as it was faced with
other limitations inherent in the survey research adopted.
Oso and Onen (2002) observed that the respondents might not
always be truthful in their answers to a survey.
1.8 Chapter summary
9
The chapter contained: background of the study, problem
statement, purpose of the study, research questions,
justification of the study, definition of key terminologies,
scope of the study and chapter summary.
The next chapter contains literature review which the
researcher used in the study encompassing: introduction,
what have been hindering the penetration of digital and
wireless communication technology in the study area, what is
the relationship between investment in digital and wireless
communication and entrepreneurship development in the county
and how best the penetration and use of the technology can
be promoted to foster entrepreneurship development in the
study area.
10
CHAPTER TWO
2.0 LITERATURE REVIEW
2.1 Introduction
This chapter contains literature that the researcher found
vital in the course of this study. Literature provided were
necessary in assisting the researcher to properly and
exhaustively investigate the extent of penetration of
digital and wireless communication in study area and the
relationship between investment in this technology and
entrepreneurship development by addressing the following
research questions: what has been hindering the penetration
of digital and wireless communication technology in Kisumu?,
11
what is the relationship between investment in digital and
wireless communication and entrepreneurship development in
Kisumu? And how can penetration and use of digital and
wireless communication technology be promoted to foster
entrepreneurship development in Kisumu?
2.2 What is responsible for low penetration levels of digital and wireless communication technology in Kisumu westdistrict of Kisumu County?
2.2.1 Lack of infrastructure
Lack of infrastructure to promote the penetration of this
technology has been found to be a major setback (Research
technology, 2011). Kessy, Kaemba and Gachoka(2006) mentioned
poor infrastructure which they explained to include:
unreliable transport, limited electricity supply and
broadcast and telecommunication facilities. Kessy et. al
(2006) were of the view that unsubsidized cost of
electricity in Kenya was making it difficult to use the
technology. Obijior, Inayatullah and Stevenson (2005) also
concurred with them that poor infrastructure was among the
many inhibiting factors to penetration of this technology.
Odunga (2011) noted that using phones in arid and semi arid
lands was frustrating and cumbersome because of poor network
coverage by internet service providers.
12
2.2.2 Inadequate government funding and limited credit facilities
Poor funding by the government has hindered the penetration
of this technology thus reducing the rate to which it would
have driven our economy (Research technology, 2011). The
article detailed that although innovation and technology
were hyped to be among future growth engines; allocation to
the sector still remained low: only a paltry Ksh 210 million
was put aside for setting up digital villages in all the
constituencies implying that each constituency received a
paltry Ksh 100 000.
Hefty tax for example excise duty and value added tax (VAT)
drives up costs of running a mobile phone hence limiting
their contribution to the economy (Nyabiange, 2010). The
government should also give tax relief to ISP such that the
charges to users of this technology would be considerably
lowered. Otherwise with this hefty tax more the consumers
gets over burdened and this slows down the penetration
levels and the use of the technology in Kisumu.
Nyabiange (2011) appreciated the government endeavor to
award grants to individuals and companies to develop web and
mobile phone applications but noted that the funding was
much more below what would be required.
Many people significantly need credit facilities to enhance
their entrepreneurial participation through digital and
13
wireless communication technology. These credit facilities
are lacking because Multinational companies in the banking
and information technology sector see poor communities
mostly found in Africa not to form significant market.
Financing to establish infrastructure to support this
technology is considerably slow (Parahaland, Hammond, Markel
foundation and Research institute, 2002). Nettesheim, Manget
and Boston consulting group (2002) on seeing the need to
increase credit facilities to the poor to facilitate the
penetration of this technology recommended that corporations
recognize digital investment as real option on future
returns and so extend loans to projects that would promote
the adoption of this technology.
2.2.3 Security Issues and Activities of Internet Service Providers.
Security issues have been given a lot of publicity hence
scaring away the, would be consumers of digital and wireless
communication technology. Shahonya (2011) describes how
‘phishing’ attacks collect sensitive data from users which
fraudsters use to cause damage. Computer and network
security address four requirements: confidentiality,
integrity, availability and authenticity (Stallings, 2005).
In regard to this availability of service was an issue when
14
M-pesa system crushed and clients were not able to transact.
Dafala (2011) called upon policy makers to come up with
policies that would shield mobile phone users from
fraudsters as it was eminent that prison inmates were
swindling Kenyans through mobile phones. This also raised
security concerns in regard to integrity and
confidentiality. He supported the government’s initiative to
ensure registering of all the subscriber identity modules
(SIM) cards. Wambugu (2011) suggested ways of hiding and
deleting files from computers as it was learnt that security
lapse would arise if these were not done properly hence
exposing users to dangers of loosing data or placing data in
the ‘wrong hands’.
Richmond (2011) pointed at web browsers as top target for
attackers. Nyabiage (2011) reported lose of Ksh. 2.96
billion in the year 2010 to internet fraudsters. Sihanya
(2011) acknowledged cyber crime as a challenge to the
adoption of this technology. Ekine (2009) listed fraud among
negative impacts of mobile phone use in Africa.
Internet service providers were seen as a hindrance to
penetration of this technology as they were misleading
customers in their advertisements. They were found to be
offering less than what they were promising their customers;
away not considered suitable for making business (Bindra,
15
2010). High frequency fees on telecom firms were
discouraging consumers of this technology (Nyabiange, 2011).
2.2.4 Poor leadership and deception by those who fear change
Africa is experiencing a lot of political unrest. Every
business activity requires calm and peace for success to be
realized. Mostly in Africa these revolts are associated to
absence of democracy. With common political unrests,
economic activities cannot take place and investors are
scared away for nobody would invest in an area knowing very
well that loses are to be incurred. Investment in digital
and wireless technology is also affected negatively once
democratic space is not adequate (Obijofor, et.al 2005).
Political leaders are very slow in formulating policies to
regulate the use of digital and wireless communication
technology hence hindering the penetration of this
technology. Such policies if good and in place would help
curb problems of security (Obijorfor et al. [2005]; Kessy et
al. [2000])
Corruption practices by our political leadership encourage
poor governance, misappropriation of allocated government
funds and foreign aid thereby depriving the technology the
funding needed to cause it help foster entrepreneurship
development. As a result not enough funds are available for
purchasing software and hardware material needed (Kessy et
al, 2006).
16
Some persons who feel comfortable in the current state of
affairs are not ready and willing to embrace this modern
technology and are propagating none factual statements about
this technology. These misleading statements cause panic and
fear among the, would be users of this technology. A writer
concurs with this idea when he expressed his concern about a
situation that had earlier been put to the public before
thorough research to prove it beyond any reasonable doubt.
It had been put for the public to believe that radio
frequency electromagnetic fields emitted by mobile phones
and computers were carcinogenic to human beings. Further
research activities have proved that this is not so (Mobile
phones, 2011). Mutambo (2011) portrayed this technology in a
negative way that would cause its consumers to shy from it
when he reported that this technology derails war on fake
products and that it encourages fake products to get to the
consumers.
Letiwa, (2011) reported that web based surveillance systems
complimented with GSM based alarm systems forms a security
system that is striving to discard human guards. This is
none factual statement as no technology can completely
eliminate human labor but it can cause uprising by trade
unions. These are statements that easily hinder the
penetration of the technology.
17
Emphasis on the negative impacts of social networks using
this technology as a platform also discourage its adoption
among people that would have used it( Face-book prompting
teenage pregnancies, [2011]; Universal brouhaha,[2010]).
2.3 What is the relationship between investment in digital and wireless communication and entrepreneurship development in Kisumu?
Digital and wireless communication technology without doubt
is enormously powerful tools for development; creating jobs,
transforming education, healthcare, commerce, politics and
more. The technology can help in the delivering of
humanitarian assistance and even contribute to peace and
security. One of the most pressing challenges in the new
century is to harness, this extraordinary force, spread it
throughout the world, and make benefits accessible and
meaningful for all humanity in particular the poor (Koffi
Annan, 2001). Digital entrepreneurship is essential to
sustainable socio economic development and poverty
alleviation (Moore and Palfrey, n.d.).
Information communication technology is perceived as a
catalyst for economic growth (Bongo, [2004]; Ekine, [2010]).
A higher level of ICT capital per capital allows a typical
economy to achieve a higher growth rate for a given level of
growth in labour and capital inputs (Vu, 2004). Economic
growth is the increasing ability of a nation to produce more
goods and services (Miles, 2001).
18
According to Ndemo (2011) there exists a correlation between
countries with developed infrastructure facilities in
digital and wireless communication technologies and high
level of entrepreneurship.
Growth can occur in two different ways; the increased use of
land, labour, capital and entrepreneurial resources, by
using better technology or management technologies and
increased productivity of existing resources use through
rising labour and capital productivity (Miles, 2001). This
advocates for the importance of digital and wireless
communication technology in contributing to economic growth.
Batchelor, et. al. (2003) agreed that there existed
widespread hope within the international development
community that digital and wireless communication technology
could be a powerful tool of development and poverty
reduction and achieving the millennium development goals.
Chrisanthi (2003) in his study noted that contemporary
discourse on development consistently identified digital and
wireless communication technology as a requirement for
economic growth and improved social conditions.
Interventions to develop digital and wireless communication
technology service on poor regions bear implicit promises
for economic benefits through participation in the global
market and for rationalized citizens/ government
interventions. Moreover there is a tendency to visualize
19
digital centers as sustainable business in their own right
(Best and Mackay, 2000).
Digital and wireless communication technology can empower
teachers and learners, promote change and foster development
(Trucado, 2005). Kinyonge (2011) said that e-library would
enable Kenyans get similar integrated information, thus
enhancing literacy levels.
Digital and wireless communication technology if used
properly would make service delivery to be faster and more
reliable such that availability of information is enhanced
to be within 24 hours daily (Ministry of information
communication and the Kenya ICT board, 2011).Kenya
entrepreneurs could increase their efficiency and boost
chances of retaining clients, if they used high-speed
internet technologies to access information (Use of ICT will
boost growth, 2011).
Digital and wireless communication technology with its
intelligent IT systems used to manage business processes,
delivering of products, and expiry of these products in the
ware house and with this inefficiency would be a thing of
the past (New technology, 2010).
According to Ondari (2010) digital and wireless
communication technology enhance efficiency and speed of
filling online visa forms which consequently speeds up
travelling to combat unnecessary delays in business trips.
20
Al Kags (2011) demeaned automation process by Kenya Revenue
Authority (KRA) of cargo clearance and stated that
automation by digital and wireless communication technology
should cause efficiency.
Democracy and good governance builds investors confidence.
We should go electronic to avoid poll rigging claims and
revolts in the developing countries (Mulochi, 2011). Ekine
(2010) was also supporting the use of digital and wireless
communication in delivering election results. Digital and
wireless communication technology would eliminate cases of
cheating and double registration if adopted by electoral
bodies (Kit for e-listing, 2010). Uprising against bad
leadership is possible courtesy of digital and wireless
communication technology (Nyathi, 2011).
Digital and wireless communication technology drives growth
among industry players by giving access to information
(Ekine, 2010). Ndemo (2011) endorsed the use of internet in
improving business growth by producing information and
knowledge. Gester consulting (2008) agreed that digital and
wireless communication technology practice give people a
voice.
Justice delayed is justice denied. Digital document
management systems in the Kenya judiciary would be versatile
and missing court files would be a thing of the past (Wako,
2011). Electronic process would make the Supreme Court
21
paperless hence consequently enhancing better management at
the court (Digital Audio, 2011).
Ecommerce depend on digital and wireless communication
technology. Many financial and business deals are now
transacted by phones (Wambugu, 2010). E-government services
allow entrepreneurs to transact with the government
digitally (Ekine, 2010).
Internet-led channels, work site marketing, telemarketing,
partnering with invisible insurer and virtual marketing are
some alternative channels with high potential in Kenya
market (Mugambi, 2011). Digital marketing provides
opportunity to invest in exploiting new marketing frontiers
given the deepening internet penetration in the continent
(Digital marketing, 2011).
According to Letiwa (2011) digital and wireless
communication technology enables retailers to get more
profits.
Internet allows for connection between farmers and buyers in
the market. Arid Land Information Network (ALIN) launched an
online forum called ‘Sokopepe’, which was linking farmers
directly to buyers hence eliminating middle men while
enhancing profitability levels among farmers (Ndirangu,
2010).
22
Digital and wireless communication technology is able to
create business and also support other businesses for
example IT-e-waste handling firms (e-waste recycling, 2010).
Digital advertising should be maximized (Firms join hands,
2010).
Technology promote social, professional and political
interactions if taken positively; hence would promote socio-
economic development in the area (Network for professionals,
2011).
According to Onyango (2010) boys learn more about
relationships from the internet due to negligence on the
part of their parents and so this technology should be
embraced as it avails information to build our boys morally.
These kind of opinions even though do motivate people to
embrace this technology should be treated cautiously.
Generally as much as some people take it that what comes
from the internet is amoral, to a greater extent people
learn many things from these social websites and so the
internet should be viewed positively.
Increasingly digital and wireless communication technology
is becoming pivotal for economic growth. By enabling virtual
mobility, the technology provides means to undertake many of
the activities that have so far needed physical transport
(Lake, 2004). In support of lake’s views, it is also true to
say that the use of email, online banking and ecommerce has
23
significantly cut down on the physical transportation
involved in sending mails, banking and buying goods which as
a result save money.
E-learning enhances human capital utilization by
entrepreneurs. Employees are able to continue offering their
services from remote locations hence reducing loss of man-
hours at their place of work (Obijofor et.al, 2005).
Healthy nations are able to produce more commodities hence
grow economically at a faster rate. Telemedicine allows
doctors to attend to their patients from remote locations
and this allows for efficiency in service delivery
((Obijofor et.al, 2005).
2.4 How can penetration and use of digital and wireless communication technology be promoted to foster entrepreneurship development in Kisumu County?
2.4.1 Promoting penetration of digital and wireless communication technology.
Computing devices involved in digital and wireless
communication needed electricity to operate. Uninterrupted
supply of electricity for the operations of this technology
is therefore paramount and of great significance (Obijofor
et.al, 2005).
24
Multinational companies dealing in computing gadgets
(Hardware and software) should be priding low cost devices
to enhance penetration of this technology among the poor
population in the developing countries. ( Netteshem , Manget
and Boston consulting Groups, 2002).
A lot of publications in support of this technology should
be made available to the public to eliminate ignorance.
These campaigns are vital in popularizing this technology
(Anani, [2011], Nyabiange, [2010]; Mukinda, [2011]).
Apt policies to regulate the use of ICT in the country
should be sound enough to support the ever changing trends
in our socio-economic environment (Moore and Palfrey,n.d).
Cyber crime should be minimized. This is only achievable by
offering training to key players in the market on how to
secure data or information that they wish to store or share
with others using this digital and wireless communication
technology (Shahonya,[2011];new defense package,[2011];
Gitari,[2010]).
Research and innovation should be encouraged to help in
coming up with software and modified hardware to facilitate
the use of digital and wireless communication (Prahalad
Hammond, Markel and world research Institutes, 2002).
Poverty in Africa and other parts of the world has been a
hindrance to the spread of this technology. Many persons
25
prefer to spend in health and social welfare commitment a
condition that is undercutting attention to digital and
wireless communication. Poverty eradication projects should
be emphasized (Aido, 2005).
Over relying of expatriate to maintain and repair our
digital and wireless communication technology equipment
should be discouraged such that local people are also given
opportunity to participate in this field. This shall cause
them to develop confidence and also help us cut down
expenditure on repair and maintenance (United Nations
Economic Commission for Africa, 2005; Aido, 2005).
The government should support projects aimed at enhancing
the distribution for this technology in the country by
offering incentives to investors like inform of zero rating
taxes on computing gadgets, offering affordable loans and
increase funding to these projects (Nyabiage, [2011];
Ministry of Information & Communication & Kenya ICT Board,
[2011]; Mugambi,[2011]). Good leadership, enhanced democracy
and accountability and integrity should be enhanced among
the ruling class to offer conducive business environment for
entrepreneurs to exploit this technology for economic growth
(Kessy et.al,[ 2006]; Abijofor et.al, [2005]).
Computers should no longer be seen as a status symbol but be
seen as an essential item to be used for information
26
sharing. This change of perception on computers is vital
(Obijofor et.al, 2005).
2.4.2 Best means of using digital and wireless communicationtechnology to foster entrepreneurship development inKisumu County.
Developing our software to be versatile in nature like the
one developed by Orange money that powered by Equity bank
was enabling its clients to send money, withdraw, apply and
receive loans and transaction with all banks in Kenya and
allow for money transactions to the existing mobile money
platforms as well as payments of utility bills unveil proper
use of digital and wireless communication technology (Nation
correspondence, 2010).
Wambugu (2010) reports on how an enterprising doctor had
gone telemedicine such that the doctor was being consulted
by patients and other doctors from remote locations on his
laptop.
Oak (2010) described how educators are capable of using
computers to disseminate knowledge to students. The
educators are currently sending study material to students
from remote locations courtesy digital and wireless
communication technology.
Brave (2010) inventor of Bay notes software stated that the
best way to understand people is not to ask them or make
them tell what they are like; but to watch them. He
27
developed Bay note software which is installed in the
machines that run a company’s website. The software tracks
purchase and also watches users’ behaviors where a user
scrolls to a page, how much time he/she spends on each page
and when she clicks, this helps in market research.
2.5 chapter summary
This chapter covered literature review in the order
presented: introduction, causes of low penetration levels of
digital and wireless communication in Kisumu county,
relationship between investment in digital and wireless
communication technology and entrepreneurship development
in Kisumu County and how best the penetration and use of the
technology could be enhanced in the county.
The next chapter gives the details of methodology used in
the study as follows: introduction, research design, data
collection methods, data analysis and presentation.
28
CHAPTER THREE
3.0 METHODOLOGY
3.1 Introduction
This chapter contains methodology used in the study. It
presents research design, population of the study, sampling
technique and sample size, data collection methods, data
analysis and presentation.
3.2 Research design
The research design provides the glue that holds the
research project together. A design is used to structure the
research, show how all of the major parts of the research
project such as the samples or groups, measures, treatments
or programs, and methods of assignment of work together to
address the central research questions (Trochim,2006). This
research was qualitative in nature. The research interviews
were carried out at the premises of respondents.
In regard to this work, a case study was chosen as an
effective method to answer the relevant research questions.
The purpose of the case study method is to obtain
information from knowledgeable entrepreneurs who have
personal experiences in the field of the researcher’s
29
problem situation (Zikmund, 2003). It is expected that the
account of their organization’s experience in this regard
shall give an indication on the relationship between the
technology and entrepreneurship development. The reasons for
low penetration levels of digital and wireless communication
technology in Kisumu west District of Kisumu County were
determined. Also sought were ways of enhancing the usage of
this technology to spur entrepreneurship development in the
area.
The entrepreneurs, the consumers of the technology and heads
of post secondary learning institutions involved in digital
and wireless communication technology, were selected for
study and questions asked on; the factors causing low
penetration levels of this technology in Kisumu, whether
there is a relationship between investment in the technology
and development of entrepreneurship in the county, and how
best the technology can be harnessed to promote
entrepreneurship development in Kisumu. This was done
through interviews carried out with some entrepreneurs in
the technology sector.
3.2.1 Target population
The target population refers to the total number of
respondents, subjects or the total environment of interest
to the researcher. This is the part of the target population
which the researcher can actually reach (Oso, 2002). In this
30
study, the target population consisted of entrepreneurs and
their customers. Only entrepreneurs and customers using or
consuming or trading in gadgets of this technology were
considered or targeted for the purpose of the study.
Entrepreneurs targeted were thirty M-pesa operators in
various markets of Kisumu West. Cybercafé owners were also
targeted. There are only three cybercafés in the district.
Community based organizations acting as resource centers
which are eight in number in the district were treated as
entrepreneurial enterprises and their managers and customers
considered for the study.
Also targeted was that part of population composed of heads
of the post secondary training institutions in the district
namely Maseno University, Maseno Youth Polytechnic, Langi
youth polytechnic, Bar Korua youth polytechnic and Lung’a
youth polytechnic.
Administrators of the two private hospitals in the district
were targeted as well. These hospitals were Masaba hospital
and Maseno mission hospital. Two farmers who happen to had
been trained in agribusiness by the ministry of agriculture
were involved. The farm is located between Mirieri market
and Kolenyo market.
3.2.2 Sampling technique and sample size
3.2.2.1 Sampling technique
31
If clusters happen to be geographical subdivisions, cluster
sampling is better known as area sampling (Kenya institute
of management, 2009). Area sampling technique was used for
in this study. The area was divided into geographical
regions as; Maseno division and Kombewa division of Kisumu
west district of Kisumu County. Entrepreneurs, twenty five
from every division were targeted as part of the population.
Fifty consumers of the technology were targeted in every
division. Only five post secondary school Institutions were
involve in the district.
Respondents were later picked by use of judgmental sampling
technique within the geographical regions herein described.
3.2.2.2 Sample size
From the target population of 105 a sample size was
determined. According to Naasiuma (2000), the formula of
determining the sample size states that:
n= (NCr2)/ (Cr2 + (N-1) e2)
Where: n= desired sample size
N = Target population
Cr= Coefficient of variations (take 0.5)
e= Tolerance at desired level of confidence, take 0.05 at
95% confidence level.
32
Sample size was determined for every population unit
described above as shown below:
Entrepreneurs and customers/consumers of the technology
n= 50(0.5)2/ (0.5)2+ (49) (0.05)2=34
Customers/consumers of the technology
n= 100(0.5)2/ (0.5)2+ (99) (0.05)2=51
Heads of educational institutions involved in using the
technology
n= 5(0.5)2/ (0.5)2+ (4) (0.05)2=5
A summary of sample size is shown here below.
Table 1: Sample size as extracted from the population
Population
description
Target
population
Percentage Sample size
Entrepreneurs 50 37.7% 34Consumers 100 56.7% 51Heads of
educational
institutions
5 5.6% 5
Total 155 100% 90Source: Author
33
3.3 Data collection methods
3.3.1 Interviews
Data collection is a critical stage of the research because
the research project is no better than data collected in the
field (Zikmund, 2003). The data for this study was collected
by the researcher in person through interviews with
entrepreneurs, their customers, and heads of post secondary
institutions of learning. The research method used; semi
formal interviews with respondents was conducted with
predetermined interview questionnaire but semi formal in the
sense that respondents were allowed to elaborate on their
answers to give more clarity. Responses during interviews
were recorded manually through notes.
3.3.2 Questionnaires
Questionnaire is a formalized schedule or form which
contains an assembly of carefully formulated questions for
information gathering (Kerlinger, 1973). It is a document on
which the interviewer records the answers given by the
respondents (Quee, 1999). It is a collection of items to
which a respondent is expected to react usually in writing
or by selecting the most alternate option from the
alternative choices (Oso, 2002). This instrument was used to
collect information over a very short period of time. It was
suitable because the target population and the sample size
34
were literate and the information required could easily be
expressed in writing.
3.3.3 Observation
The researcher used observation while collecting data so as
to be able to get information needed in their natural state.
Some times respondents have the tendencies of giving
screened information and this could be easily eliminated by
so carrying out observation.
3.4 Data collection procedures
The researcher made questionnaires, observational guides and
interview schedules and involved other researchers to critic
them. They were tested for validity and reliability before
they were exposed for use by the respondents.
Members from the population of the study were allowed to
carry home questionnaires to be able to fill at their own
convenience within a stipulated period of time which was
largely agreed upon.
Some members were interviewed; all this exercise was aimed
at establishing different views with the hope that facts
will be adduced and eventually come up with gainful
recommendations. Discussions and observation were carried
out to confirm the findings provided by the interviewers.
35
After the lapse of time raw data from respondents was
collected by the researcher for analysis.
3.5 Data analysis and presentation
Data collected from interviews were qualitatively analyzed
especially by correlation method as appropriate in order to
describe the nature of relationship between investment in
the technology and development in entrepreneurship,
establish factors hampering the penetration of the
technology and how best the technology can be utilized to
promoted entrepreneurship development in Kisumu west
district in the county of Kisumu
Qualitative methods were used to facilitate the explanation
of: low penetration levels of digital and wireless
communication technology in Kisumu west District of Kisumu
County, the relationship between investment in digital and
wireless communication technology and entrepreneurship
development and establishing suitable means of using the
technology to support entrepreneurship development in Kisumu
west District of Kisumu County.
Bar graphs, pie charts, tables and scatter diagrams were
used to present data for ease of interpretation. Computers
were used to process data and present it both in hard and
soft copies. Excel and SPSS were used for analysis;
determining percentages and generating graphs and pie charts
36
and producing scatter diagrams and working out correlation
coefficients respectively.
3.6 Chapter summary
This chapter contained: an introduction to methodology
employed during the study, research design, data collection
methods data analysis and presentation and limitations to
the study.
In the next chapter, an in-depth look at research findings
is presented. The chapter contains presentations, analysis
and interpretations.
37
CHAPTER FOUR
4.0 RESEARCH FINDINGS
4.1 Introduction
This chapter is concerned with presentations, analysis and
interpretations of data from the field.
After collecting raw data, the same was manipulated and
presented in suitable forms which could be easily
understood. By using tables, graphs, pie charts and scatter
diagrams to present data one is able to: find at a glance
the causes of low penetration levels of digital and wireless
communication technology in the study area, establish to
relationship between investment in the technology and
entrepreneurship development in the county and find how best
the technology can be used to spur entrepreneurship
development in the study area.
In this research, the researcher based his findings only on
the data collected during the study. This implies that
conclusions drawn from the study only apply to this
particular county and may not apply to other counties or
regions in the country. Each research question was dealt
with independently and findings discussed. The research
questions are already explained in the previous chapters.
38
When preparing for the collection of data the researcher
prepared for a sample of sixty nine but the number of
respondents that responded was only seventy three.
Table 2: Response rate
Sample size Actual
Response
Response Rate
Response 90 89 98.89%None response 1 1.11%Total 90 100%Source: Author, 2012
From the table above, it can be observed that 98.89% was the
response rate. This was a good figure from which data was
fetched and analyzed as is shown elsewhere in the chapter.
4.2 What is responsible for low penetration levels of the technology in Kisumu County?
To exhaustively address this question, the researcher posed
questions to respondents from which data used to find causes
of low penetration levels of the technology was determined.
The questions were analyzed as below.
4.2.1 Is electricity in adequate supply enough to encourage the use of digital and wireless communication in the county?
The ratings were assigned to correspond to a score or
weight. The weight and number of respondents, frequency in
favour of a certain position was then multiplied to give an
39
interpretation weighting on a five point scale labeled 5, 4,
3, 2, and 1.
Table 3: Confirmation as to whether electricity is in adequate supply in the county
Scale Weight Number of
response
Weight * Number
of responses
(wf)Strongly
agree
5 3 15
Agree 4 13 52Undecided 3 5 15Disagree 2 30 60Strongly
disagree
1 20 20
TOTAL =15∑ f=71∑ wf=162∑
Source: Author, 2012
Average mean weight= wf/ f = 162/71=2.28∑ ∑
The average weight 2.28 lies lower than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
disagree with the proposition.
Response was also put in the bar graph to show levels of
acceptance of the proposition among respondents as below.
40
Figure 1:Levels of acceptance that supply of electricity inKisumu west district is enough to promote the use of digitaland wireless communication technology
Source: Author, 2012
4.2.2 Is your business area supplied with good broadcast andtelecommunication facilities so as to support the use of digital and wireless communication?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
41
Table 4: Support for availability of broadcast and telecommunication facilities to support the penetration levels and useof the technology
Scale Weight Number of
response
Weight * Number
of responses
(wf)Strongly
agree
5 4 20
Agree 4 12 48Undecided 3 4 12Disagree 2 31 62Strongly
disagree
1 22 22
TOTAL =15∑ f=71∑ wf=164∑
Source: Author, 2012
Average mean weight= wf/ f = 164/71=2.31 ∑ ∑
The average weight 2.31 lies lower than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
disagree with the proposition.
Response was also put in the bar graph to show levels of
acceptance of the proposition among respondents as below.
42
Figure 2: Supply of broadcasting and telecommunicationfacilities supporting the technology use and penetration inthe study area
Source: Author, 2012
43
4.2.3 Are there good transport networks in your place of operation to spur faster penetration of the technology in the County?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 5: Support for good transport network to enhance the penetration levels and use of the technology in the study area
Scale Weight Number of
response
Weight * Number
of responses
(wf)Strongly
agree
5 2 10
Agree 4 11 44Undecided 3 4 12Disagree 2 32 64Strongly
disagree
1 24 24
TOTAL =15∑ f=71∑ wf=154∑
Source: Author, 2012
Average mean weight= wf/ f = 154/71=2.17 ∑ ∑
44
The average weight 2.17 lies lower than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
disagree with the proposition.
Response was also put in the pie chart to show levels of
acceptance of the proposition among respondents as below.
45
Figure 3: Response in support of transport being adequate toenhance the penetration and use of the technology in Kisumuwest district
Source: Author, 2012
4.2.4 Has the government been giving enough financial assistance to support the high penetration rates and use of digital and wireless communication in the county?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 6: Support that financial aid by the government is enough to enhance the penetration levels and use of the technology in the study area
Scale Weight Number of
response
Weight * Number
of responses
(wf)Strongly
agree
5 3 15
Agree 4 10 40Undecided 3 5 15Disagree 2 31 62
46
Strongly
disagree
1 24 24
TOTAL =15∑ f=71∑ wf=156∑
Source: Author, 2012
Average mean weight= wf/ f = 156/71=2.20 ∑ ∑
The average weight 2.20 lies lower than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
disagree with the proposition.
Response was also put in the bar graph to show levels of
acceptance of the proposition among respondents as below.
47
Figure 4: Support that financial aid by the government isenough to enhance the penetration levels and use of thetechnology in the study area
Source: Author, 2012
4.2.5 Have other stakeholders been giving adequate credit facilities to encourage the use of digital and wireless communication technology?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
48
Table 7: Support that financial aid by the government is enough to enhancethe penetration levels and use of the technology in the study area
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 3 15
Agree 4 15 60Undecided 3 5 15Disagree 2 27 54Strongly
disagree
1 21 21
TOTAL =15∑ f=71∑ wf=165∑
Source: Author, 2012
Average mean weight= wf/ f = 16571=2.32∑ ∑
The average weight 2.32 lies lower than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
disagree with the proposition.
Response was also put in the pie chart to show levels of
acceptance of the proposition among respondents as below.
49
Figure 5: Degree of agreement among respondents as towhether other stakeholders have been giving enough fundingto encourage penetration and use of the technology in Kisumuwest district
Source: Author, 2012
4.2.6: Do you accept that security issues are among the manyother things which are hampering the, would be rapid penetration and use of the technology?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
50
Table 8: Support that security issues are a threat to penetration rate and use of the technology in the area
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 30 150
Agree 4 35 140Undecided 3 2 6Disagree 2 20 40Strongly
disagree
1 3 3
TOTAL =15∑ f=90∑ wf=339∑
Source: Author, 2012
Average mean weight= wf/ f = 339/90=3.77∑ ∑
The average weight 3.77 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the bar graph to show levels of
acceptance of the proposition among respondents as below.
51
Figure 6: Degree of a agreement among respondents as towhether security issues discourage penetration and use ofthe technology in the district
Source: Author, 2012
4.2.7 Do you agree that civil unrests have caused the slow penetration rate of the technology in the county?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
53
Table 9: Acceptance levels that civil unrests cause slow penetration rateof the technology
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 32 160
Agree 4 30 120Undecided 3 4 12Disagree 2 20 40Strongly
disagree
1 4 4
TOTAL =15∑ f=90∑ wf=336∑
Source: Author, 2012
Average mean weight= wf/ f = 336/90=3.73∑ ∑
The average weight 3.73 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the pie chart to show levels of
acceptance of the proposition among respondents as below.
54
Figure 7: Response as to whether civil unrests slow downpenetration rate of the technology in Kisumu west district
Source: Author, 2012
4.2.8 Is it true to say that many people fear change and areresisting the use of digital and wireless communication hence low penetration of this technology?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
55
Table 10: Acceptance levels that fear to change is a cause to slow penetration rate of the technology
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 30 150
Agree 4 35 140Undecided 3 4 12Disagree 2 20 40Strongly
disagree
1 1 1
TOTAL =15∑ f=90∑ wf=343∑
Source: Author, 2012
Average mean weight= wf/ f = 343/90=3.73∑ ∑
The average weight 3.81 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the bar graph to show levels of
acceptance of the proposition among respondents as below.
56
Figure 8: Low penetration of the technology is due toresistance to change among residents of Kisumu west district
Source: Author, 2012
58
4.2.9 Is it true to say that political leaders are very slowin formulating policies to regulate the use of the technology hence, causing fear to adopt the technology amongresidence of Kisumu west district in the county of Kisumu?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 11: Support that financial aid by the government is enough to enhance the penetration levels of the technology in the study area
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 5 25
Agree 4 51 204Undecided 3 4 12Disagree 2 20 40Strongly
disagree
1 5 5
TOTAL =15∑ f=90∑ wf=286∑
Source: Author, 2012
Average mean weight= wf/ f = 286/90=3.18∑ ∑
The average weight 3.18 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
59
Response was also put in the pie chart to show levels of
acceptance of the proposition among respondents as below.
Figure 9: Political leaders are slow in formulatingregulations to control the use of the technology so peopleare slow to adopt the technology hence, causing its lowpenetration rate
Source: Author, 2012
60
4.2.10 Is corruption responsible for poor telecommunication network in the study area and so causing slow penetration ofthe technology?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 12: Acceptance levels that corruption is responsible for low penetration of the technology in the district
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 40 200
Agree 4 30 120Undecided 3 5 15Disagree 2 10 20Strongly
disagree
1 5 5
TOTAL =15∑ f=90∑ wf=360∑
61
Source: Author, 2012
Average mean weight= wf/ f = 360/90=4.0∑ ∑
The average weight 4.0 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the bar graph to show levels of
acceptance of the proposition among respondents as below.
62
Figure 10: Corruption is responsible for slow penetration ofthe technology in Kisumu west district
Source: Author, 2012
4.2.11 Do you believe that the technology is carcinogenic tohuman beings thereby causing its slow penetration?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
63
Table 13: Acceptance levels that the technology is carcinogenic to human beings
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 5 25
Agree 4 29 116Undecided 3 1 3Disagree 2 25 50Strongly
disagree
1 30 30
TOTAL =15∑ f=90∑ wf=224∑
Source: Author, 2012
Average mean weight= wf/ f = 224/90=2.49∑ ∑
The average weight 2.49 lies lower than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
disagree with the proposition.
Response was also put in the pie chart to show levels of
acceptance of the proposition among respondents as below.
64
Figure 11: Digital and wireless communication technology iscarcinogenic to human beings
Source: Author, 2012
4.2.12 Do you believe that once people get to use this technology the persons working in such fields shall be rendered jobless and some trade unions are advocating against the use of digital and wireless communication technology?
65
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 14: Technology shall eliminate human labour hence render many persons jobless
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 5 25
Agree 4 30 120Undecided 3 20 60Disagree 2 30 60Strongly
disagree
1 5 5
TOTAL =15∑ f=90∑ wf=270∑
Source: Author, 2012
Average mean weight= wf/ f = 270/90=3∑ ∑
The average weight is 3, the midpoint of the lickert scale
and it is interpreted that the respondents neither agrees
66
nor disagree with the proposition. The result here was
rather neutral.
Response was also put in the bar graph to show levels of
acceptance of the proposition among respondents as below.
67
Figure 12: Digital and wireless communication technologyshall eliminate human labour if put in use
Source: Author, 2012
4.2.13 Do you accept that high taxation by the government isa threat to penetration and subsequent use of this technology?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
68
Table 15: Acceptance that high taxation by the government isa threat to penetration and use of the technology
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 14 70
Agree 4 42 168Undecided 3 4 12Disagree 2 25 50Strongly
disagree
1 5 5
TOTAL =15∑ f=90∑ wf=305∑
Source: Author, 2012
Average mean weight= wf/ f = 305/90=3.39∑ ∑
The average weight 3.39 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the pie chart to show levels of
acceptance of the proposition among respondents as below.
69
Figure 13: High taxation by the government slows downpenetration rate and use of the technology
Source: Author, 2012
4.2.14 Do you accept that some persons feel that the technology is highly responsible for moral decadence in our society; that its use should be discouraged hence causing its low penetration in the county?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
70
Table 16: The technology is responsible for moral decadence in our society
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 20 100
Agree 4 40 160Undecided 3 23 69Disagree 2 4 8Strongly
disagree
1 3 3
TOTAL =15∑ f=90∑ wf=340∑
Source: Author, 2012
Average mean weight= wf/ f = 340/90=3.78∑ ∑
The average weight 3.78 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the pie chart to show levels of
acceptance of the proposition among respondents as below.
71
Figure 14: Technology promotes moral decadence among membersof the society
Source: Author, 2012
4.2.15 Is the high cost of hardware and software a hindranceto penetration of the technology in the county?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
72
Table 17: High cost of hardware and software necessary for technology is a hindrance to the penetration of this technology in the area
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 20 100
Agree 4 30 120Undecided 3 23 69Disagree 2 14 28Strongly
disagree
1 3 3
TOTAL =15∑ f=90∑ wf=320∑
Source: Author, 2012
Average mean weight= wf/ f = 320/90=3.56∑ ∑
The average weight 3.56 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the bar graph to show levels of
acceptance of the proposition among respondents as below.
73
Figure 15: High cost of hardware and software; a hindranceto penetration of digital and wireless communicationtechnology
Source: Author, 2012
4.3. What is the relationship between investment in digital and wireless communication technology and entrepreneurship development in Kisumu west district?
74
In this question relation between two variables was to be
determined. Independent variable was Investment in digital
and wireless communication technology while dependent
variable was entrepreneurship development. Investment in
technology was measured in Kenya shillings while
entrepreneurship development was put in: Number of employees
that businesses were able to employ in technology, Value of
educational material that were got as a result of using the
technology, Value of health services offered to patients,
Volume of sales in Kenya shillings, Time saved in hours,
returns from the farm, number of customers contacted via use
of technology, Value of goods saved from expiry due to
technology use, Eliminated cost of travelling due virtual
transport supported by the technology, number of friends
contacted or created using the t5echnology, savings on
consultancy due to use of technology in discovering
knowledge, cash saved from misappropriation, number of
people talked to about leadership practices, number of
decisions reached due to use of technology, and cost of
paying bills while using the technology.
4.3.1. Give the number of employees engaged as appropriate against an estimate of your investment in the technology
Data was collected and presented in the table and figure as
below.
75
Table 18: The number of employees against Investment
Investment value in KSH No. of employees involved10000 212000 618000 925000 1226000 14
Source:
Author,
2012
Source:Author,2012A
correlation analysis on the data as shown in the table andscatter diagram above indicates that a relation existsbetween the variables (r = 0.993, α = 0.01). The plottedscatter diagrams shows a positive relation between thevariables that is an increase in the investment in digitaland wireless communication technology causes an increase inthe number of employees. To test whether this relation between the variables islinear, a regression analysis was run whose resultsindicated a strong relationship. The Karl’s Pearsons;
76
Figure 16: Relationship between investment in the
technology and number of employees
Figure 16: Relationship between investment in thetechnology and the number of employees
product moment coefficient of correlation r = 0.993 is highand suggests a strong relationship. The r squared = 0.987indicating that 98.7% of the change in the number ofemployees could be explained by a unit change in level ofinvestment in the technology. The beta β = 0.993 is however significantly higher than 0and hence the linear relationship holds with a model:E=0.400+0.01I Where E = Number of employeesI= investment in the technology
4.3.2. Kindly give estimate value of educational material obtained through this technology in relation to the value ofinvestment in the technology at the time.
Data was collected and presented in the table and figure as
below.
Table 19: Relationship between investment in the technology and value of educational material obtained
Table 19: Relationship between investment in technology and the value of educational material obtained
Investment value in KSH Value of educational material
obtained5000 2000010000 5000015000 5600020000 8000025000 99000Source: Author, 2012
77
Figure 17: Relationship between technology and value ofeducational material got
Source: Author, 2012
A correlation analysis on the data as shown in the table andscatter diagram above indicates that a relation existsbetween the variables (r = 0.986, α = 0.02). The plottedscatter diagrams shows a positive relation between thevariables that is an increase in the investment in digitaland wireless communication technology causes an increase inthe value of educational material. To test whether this relation between the variables islinear, a regression analysis was run whose resultsindicated a strong relationship. The Karl’s Pearson’s;product moment coefficient of correlation r = 0.986 is highand suggests a strong relationship. The r squared = 0.973indicating that 97.3% of the change in the value ofeducational materials could be explained by a unit change inlevel of investment in the technology.
78
The beta β = 0.986 is however significantly higher than 0and hence the linear relationship holds with a model:E=4600.00+3.760I Where E = Value of educational materialI= investment in the technology
4.3.3. Estimate the value of health services extended to your customers while using this technology corresponding to approximate value of your in the technology (Health workers)
Data was collected and presented in the table and figure as
below.
Table 20: Effects of the technology on value of health services extended to patients
Investment value in KSH Value of service in KSH5000 2700010000 20010015000 25000020000 28500025000 285000Source: Author, 2012
79
Figure 18: Relation between technology and value of health services extended
Source: Author, 2012
A correlation analysis on the data as shown in the table andscatter diagram above indicates that a relation existsbetween the variables (r = 0.882, α = 0.48). The plottedscatter diagrams shows a positive relation between thevariables that is an increase in the investment in digitaland wireless communication technology causes an increase inthe value of health services extended to patients throughthe technology. To test whether this relation between the variables islinear, a regression analysis was run whose resultsindicated a strong relationship. The Karl’s Pearson’s;product moment coefficient of correlation r = 0.882 is highand suggests a strong relationship. The r squared = 0.778indicating that 77.8% of the change in the value of healthservices offered to patients could be explained by a unitchange in level of investment in the technology. The beta β = 0.882 is however significantly higher than 0and hence the linear relationship holds with a model:E=29150+12.018I Where E = Value of health services extended to patients viathe technologyI= investment in the technology
4.3.4. Estimate the volume of your sales through the technology corresponding to the appropriate values of your investment in digital and wireless communication technology.
Data was collected and presented in the table and figure as
below.
80
Table 21: Investment in the technology against volume of sales
Investment value in KSH Volume of sales in KSH5000 1500010000 6500015000 9895020000 15000025000 160000Source: Author, 2012
Figure 19: Investment in technology against volume of sales
Source: Author, 2012 A correlation analysis on the data as shown in the table andscatter diagram above indicates that a relation existsbetween the variables (r = 0.984, α = 0.02). The plottedscatter diagrams shows a positive relation between thevariables that is an increase in the investment in digital
81
and wireless communication technology causes an increase inthe volume of sales through the technology. To test whether this relation between the variables islinear, a regression analysis was run whose resultsindicated a strong relationship. The Karl’s Pearson’s;product moment coefficient of correlation r = 0.984 is highand suggests a strong relationship. The r squared = 0.968indicating that 96.8% of the change in the volume of salescould be explained by a unit change in level of investmentin the technology. The beta β = 0.984 is however significantly higher than 0and hence the linear relationship holds with a model: E= -14710+7.50I Where E = Volume of salesI= investment in the technology
4.3.5. Estimate the time saved in terms of hours corresponding to your investment in the technology i.e. at acertain value of investment, how much in terms of time were you able to save in the course of your business dealings in one month?
Data was collected and presented in the table and figure as
below.
Table 22: Investment against time saved in a month
Investment value in KSH Time saved in hours5000 1810000 1915000 36
82
20000 15025000 250Source: Author, 2012
Figure 20: Investment against time saved in a month
Figure 20: Investment in technology against time saved in amonth
Source: Author, 2012
A correlation analysis on the data as shown in the table and
scatter diagram above indicates that a relation exists
between the variables (r = 0.916, α = 0.029). The plotted
scatter diagrams shows a positive relation between the
variables that is an increase in the investment in digital
and wireless communication technology causes an increase in
the time saved on monthly basis through the technology.
83
To test whether this relation between the variables islinear, a regression analysis was run whose resultsindicated a strong relationship. The Karl’s Pearson’s;product moment coefficient of correlation r = 0.916 is highand suggests a strong relationship. The r squared = 0.838indicating that 83.8% of the change in time saved on monthlybasis could be explained by a unit change in level ofinvestment in the technology. The beta β = 0.916 is however significantly higher than 0and hence the linear relationship holds with a model: E= -83.90+0.12I Where E = Time saved on monthly basisI= investment in the technology
4.3.6. Make an estimate value of your yields from your farm against your investment in the technology. (For those engaged in M-farming)
Data was collected and presented in the table and figure as
below.
Table 23: Relating investment in technology to returns from farming activities
Investment value in KSH Returns in KSH5000 6045010000 8552015000 12568020000 15069025000 251245Source: Author, 2012
84
Figure 21: Relating investment in technology to returns fromfarming activities
Source: Author, 2012
A correlation analysis on the data as shown in the table and
scatter diagram above indicates that a relation exists
between the variables (r = 0.956, α = 0.11). The plotted
scatter diagrams shows a positive relation between the
variables that is, an increase in the investment in digital
and wireless communication technology causes an increase in
the value of yields from farms is through the technology.
To test whether this relation between the variables islinear, a regression analysis was run whose resultsindicated a strong relationship. The Karl’s Pearson’s;product moment coefficient of correlation r = 0.916 is highand suggests a strong relationship. The r squared = 0.913indicating that 91.3% of the change in value of yields
85
from farms could be explained by a unit change in level ofinvestment in the technology. The beta β = 0.956 is however significantly higher than 0and hence the linear relationship holds with a model: E=689+8.935I Where: E = value of yields from farmsI= investment in the technology
4.3.7. Give an estimate number of customers reached using the technology against investment in the technology.
Data was collected and presented in the table and figure as
below.
Table 24: Relation between investment and the number of customers contacted
Investment value in KSH Number of customers5000 5010000 7215000 8420000 8925000 100Source: Author, 2012
86
Figure 22: Relation between investment in technology and thenumber of customers contacted
Source: Author, 2012
A correlation analysis on the data as shown in the table and
scatter diagram above indicates that a relation exists
between the variables (r = 0.970, α = 0.06). The plotted
scatter diagrams shows a positive relation between the
variables that is an increase in the investment in digital
and wireless communication technology causes an increase in
the number of customers contacted through the technology.
To test whether this relation between the variables islinear, a regression analysis was run whose resultsindicated a strong relationship. The Karl’s Pearson’s;product moment coefficient of correlation r = 0.970 is highand suggests a strong relationship. The r squared = 0.940indicating that 83.8% of the change in number of customers
87
contacted could be explained by a unit change in level ofinvestment in the technology. The beta β = 0.970 is however significantly higher than 0and hence the linear relationship holds with a model: E=43.95+0.002I Where E = number of customers contactedI= investment in the technology
4.3.8. Give an estimate value of goods you were able to detect their expiry date using the technology and the value of your investment in technology at the time (Health workersand sellers of edible commodities).
Data was collected and presented in the table and figure as
below.
Table 25: Investment against value of goods saved from expiry by use of technology
Investment value in KSH Value of goods that
technology was used to detect
their expiry date5000 25000010000 28000015000 32500020000 20000025000 345000Source: Author, 2012
88
Figure 23: Investment in technology against value of goodssaved from expiry by use of technology
Source: Author, 2012
A correlation analysis on the data as shown in the table and
scatter diagram above indicates that a relation exists
between the variables (r = 0.299, α = 0.625). The plotted
scatter diagrams shows a positive relation between the
variables that is an increase in the investment in digital
and wireless communication technology causes an increase in
the number of customers contacted through the technology.
To test whether this relation between the variables islinear, a regression analysis was run whose resultsindicated a weak relationship. The Karl’s Pearson’s; productmoment coefficient of correlation r = 0.299 is high and
89
suggests a strong relationship. The r squared = 0.089indicating that 8.9% of the change in number of customerscontacted could be explained by a unit change in level ofinvestment in the technology. The beta β = 0.299 is however significantly higher than 0and hence the linear relationship holds with a model: E=247000+2.200I Where E = number of customers contactedI= investment in the technology
4.3.9. State how much was saved in terms of travelling cost when the cost of investment in technology was as indicated
Data was collected and presented in the table and figure as
below.
Table 26: Investment against eliminated cost of travelling during business activities
Investment value in KSH Cost of travelling saved5000 9000010000 15000015000 17500020000 17600025000 231000Source: Author, 2012
90
Figure 24: Investment in technology against eliminated costof travelling during business transactions
Source: Author, 2012
A correlation analysis on the data as shown in the table and
scatter diagram above indicates that a relation exists
between the variables (r = 0.954, α = 0.012). The plotted
scatter diagrams shows a positive relation between the
variables that is an increase in the investment in digital
and wireless communication technology causes an increase in
the eliminated cost of travelling through the technology.
To test whether this relation between the variables islinear, a regression analysis was run whose resultsindicated a strong relationship. The Karl’s Pearson’s;product moment coefficient of correlation r = 0.954 is highand suggests a strong relationship. The r squared = 0.910indicating that 91% of the change in eliminated cost of
91
travelling could be explained by a unit change in level ofinvestment in the technology. The beta β = 0.954 is however significantly higher than 0and hence the linear relationship holds with a model: E=72000+6.160I Where E = Eliminated cost of travellingI= investment in the technology
4.3.10. State how many friends you created when the cost of your investment was as follows.
Data was collected and presented in the table and figure as
below.
Table 27: Investment in technology against number of friends created or contacted monthly
Investment value in KSH Number of friends contacted/
created5000 5910000 6715000 16020000 17525000 199Source: Author, 2012
92
Figure 25: Investment in technology against the number offriends contacted or created using the technology
Source: Author, 2012
A correlation analysis on the data as shown in the table and
scatter diagram above indicates that a relation exists
between the variables (r = 0.950, α = 0.013). The plotted
scatter diagrams shows a positive relation between the
variables that is an increase in the investment in digital
and wireless communication technology causes an increase in
the number of friends created or contacted through the
technology.
To test whether this relation between the variables islinear, a regression analysis was run whose resultsindicated a strong relationship. The Karl’s Pearson’s;product moment coefficient of correlation r = 0.950 is highand suggests a strong relationship. The r squared = 0.903indicating that 90.3% of the change in number of friends
93
contacted or created could be explained by a unit change inlevel of investment in the technology. The beta β = 0.950 is however significantly higher than 0and hence the linear relationship holds with a model: E=15.6+0.08I Where E = Number of friends created or contactedI= investment in the technology
4.3.11. Give an estimate value of savings on consultancy charges on poverty alleviation projects that you have managed to get while using this technology and correspondinginvestment at the time. (Community based organizations)
Data was collected and presented in the table and figure as
below.
Table 28: Investment in the technology against value of savings in consultancy
Investment value in KSH Savings on consultancy5000 5700010000 8950015000 15100020000 16500025000 166000Source: Author, 2012
94
Figure 26: Investment in technology against value of savingsin consultancy
Source: Author, 2012
A correlation analysis on the data as shown in the table and
scatter diagram above indicates that a relation exists
between the variables (r = 0.936, α = 0.019). The plotted
scatter diagrams shows a positive relation between the
variables that is an increase in the investment in digital
and wireless communication technology causes an increase in
the savings on consultancy services through the technology.
To test whether this relation between the variables islinear, a regression analysis was run whose resultsindicated a strong relationship. The Karl’s Pearson’s;product moment coefficient of correlation r = 0.936 is highand suggests a strong relationship. The r squared = 0.876indicating that 87.6% of the change in savings on
95
consultancy could be explained by a unit change in level ofinvestment in the technology. The beta β = 0.936 is however significantly higher than 0and hence the linear relationship holds with a model: E=37.650+5.870I Where E = Savings on consultancy servicesI= investment in the technology
4.3.12. Give an estimate value of cash that the technology has ever helped you to save from misappropriation (if any) and the corresponding value of investment in the technology at the said time.
Data was collected and presented in the table and figure as
below.
Table 29: Relating estimated investment in the technology tothe funds saved from misappropriation due to application of technology
Investment value in KSH Cash that would have been
lost5000 2500010000 2600015000 5000020000 6285025000 105000Source: Author, 2012
96
Figure 27: Relating investment in technology to funds savedfrom misappropriation
Source: Author, 2012
A correlation analysis on the data as shown in the table and
scatter diagram above indicates that a relation exists
between the variables (r = 0.948, α = 0.014). The plotted
scatter diagrams shows a positive relation between the
variables that is an increase in the investment in digital
and wireless communication technology causes an increase in
the funds saved from misapplication through the technology.
To test whether this relation between the variables islinear, a regression analysis was run whose resultsindicated a strong relationship. The Karl’s Pearson’s;product moment coefficient of correlation r = 0.948 is highand suggests a strong relationship. The r squared = 0.899indicating that 89.9% of the change in funds saved from
97
misappropriation could be explained by a unit change inlevel of investment in the technology. The beta β = 0.948 is however significantly higher than 0and hence the linear relationship holds with a model: E= -4895.000+3.921I Where E = Funds saved from misappropriationI= investment in the technology
4.3.13. Give an estimate number of people you have ever talked about leadership of an organization through the technology and the corresponding value of your investment inthe technology at the time.
Data was collected and presented in the table and figure as
below.
Table 30: Relating investment in the technology to leadership practices
Investment value in KSH Number of people contacted5000 2010000 4515000 6720000 8925000 129Author, 2012
98
Figure 28: Relating investment in technology to leadershippractices
Author, 2012
A correlation analysis on the data as shown in the table and
scatter diagram above indicates that a relation exists
between the variables (r = 0.992, α = 0.001). The plotted
scatter diagrams shows a positive relation between the
variables that is an increase in the investment in digital
and wireless communication technology causes an increase in
the number of people contacted on leadership practices
through the technology.
To test whether this relation between the variables islinear, a regression analysis was run whose resultsindicated a strong relationship. The Karl’s Pearson’s;product moment coefficient of correlation r = 0.992 is highand suggests a strong relationship. The r squared = 0.984indicating that 98.4% of the change in number of persons
99
contacted on leadership practices could be explained by aunit change in level of investment in the technology. The beta β = 0.992 is however significantly higher than 0and hence the linear relationship holds with a model: E= -8.600+0.005I Where E = Number of people contacted on leadership practicesI= investment in the technology
4.3.14. Give an estimate number of decisions made after applying the technology to search for suitable decisions against your investment in the said technology.
Data was collected and presented in the table and figure as
below.
Table 31: Relating investment in technology to decision making
Investment value in KSH Number of decisions made5000 2310000 4715000 2220000 6925000 75Author, 2012
A
100
Author, 2012
Figure 29: Relating investment in technology to
decision making
Figure 29: Relating investment in technology to decision making
correlation analysis on the data as shown in the table and
scatter diagram above indicates that a relation exists
between the variables (r = 0.802, α = 0.103). The plotted
scatter diagrams shows a positive relation between the
variables that is an increase in the investment in digital
and wireless communication technology causes an increase in
the number of decisions made with the help of the
technology.
To test whether this relation between the variables islinear, a regression analysis was run whose resultsindicated a strong relationship. The Karl’s Pearson’s;product moment coefficient of correlation r = 0.802 is highand suggests a strong relationship. The r squared = 0.643indicating that 64.3% of the change in number of decisionsmade could be explained by a unit change in level ofinvestment in the technology. The beta β = 0.802 is however significantly higher than 0and hence the linear relationship holds with a model: E=9.4+0.003I Where E = Number of decisions madeI= investment in the technology
4.3.15. What was your cost of paying your bills compared to your investment in the technology? (The cost here excludes the bill itself).
Data was collected and presented in the table and figure as
below.
101
Table 32: Relation between investment in the technology and cost of paying bills
Investment value in KSH Cost of paying bills5000 5200010000 4200015000 2700020000 1500025000 9000Author, 2012
Figure 30: Relation between investment in technology andcost of paying bills
Author, 2012
A correlation analysis on the data as shown in the table and
scatter diagram above indicates that a relation exists
between the variables (r = 0.992, α = 0.001). The plotted
scatter diagrams shows a positive relation between the
variables that is an increase in the investment in digital
102
and wireless communication technology causes an increase in
the cost of paying bills with the help of the technology.
To test whether this relation between the variables islinear, a regression analysis was run whose resultsindicated a strong relationship. The Karl’s Pearson’s;product moment coefficient of correlation r = 0.992 is highand suggests a strong relationship. The r squared = 0.984indicating that 98.4% of the change in the cost of payingbills could be explained by a unit change in level ofinvestment in the technology. The beta β = 0.992 is however significantly higher than 0and hence the linear relationship holds with a model: E=62900.00-2.260I Where E = Cost of paying for billsI= investment in the technology
4.4 How can penetration and use of digital and wireless communication technology be enhanced to promote entrepreneurship development in Kisumu west district of Kisumu County?
4.4.1. Do you believe that causing software to be versatile to do arrange of activities e.g. sending money, withdraw, apply and receive loans and other transactions would help indeveloping entrepreneurship in the district?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 33: Making more versatile software
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly 5 20 100
103
agreeAgree 4 30 120Undecided 3 23 69Disagree 2 14 28Strongly
disagree
1 3 3
TOTAL =15∑ f=90∑ wf=320∑
Source: Author, 2012
Average mean weight= wf/ f = 320/90=3.56∑ ∑
The average weight 3.56 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the pie chart to show levels of
acceptance of the proposition among respondents as below.
104
Figure 31: Versatile software
Source: Author, 2012
4.4.2. Do you accept that in cooperating the technology to address health issues shall foster entrepreneurship growth in the district?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 34: Integrating the use of technology in addressing health problems
Scale Weight Number of
response
Weight * Number
of responses
(wf)Strongly
agree
5 30 150
Agree 4 20 80Undecided 3 23 69
105
Disagree 2 11 22Strongly
disagree
1 6 6
TOTAL =15∑ f=90∑ wf=320∑
Source: Author, 2012
Average mean weight= wf/ f = 327/90=3.63∑ ∑
The average weight 3.63 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the bar graph to show levels of
acceptance of the proposition among respondents as below.
Figure 32: Using the technology to solve health relatedproblems
Source: Author, 2012
106
4.4.3: Can using technology to disseminate knowledge enhance development of entrepreneurship in the district?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 35: using digital and wireless communication technology to disseminate knowledge
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 35 175
Agree 4 15 60Undecided 3 20 60Disagree 2 14 28Strongly
disagree
1 6 6
TOTAL =15∑ f=90∑ wf=329∑
Source: Author, 2012
Average mean weight= wf/ f = 329/90=3.66∑ ∑
107
The average weight 3.66 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the pie chart to show levels of
acceptance of the proposition among respondents as below.
108
Figure 33: Using the technology to foster knowledgedissemination
Source: Author, 2012
4.4.4. Do you believe that using the technology in carrying out market research can promote growth in entrepreneurship in the district?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 36: Digital and wireless communication in carrying out market research
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 30 150
Agree 4 20 80Undecided 3 20 60Disagree 2 11 22Strongly 1 9 9
109
disagreeTOTAL =15∑ f=90∑ wf=321∑
Source: Author, 2012
Average mean weight= wf/ f = 329/90=3.57∑ ∑
The average weight 3.57 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the bar graph to show levels of
acceptance of the proposition among respondents as below.
Figure 34: Using technology in market research
Source: Author, 2012
4.4.5. Can the technology be used to enhance security consequently, fostering development in entrepreneurship?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.110
Table 37: Technology in enhancing security
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 30 150
Agree 4 25 100Undecided 3 15 45Disagree 2 11 22Strongly
disagree
1 9 9
TOTAL =15∑ f=90∑ wf=326∑
Source: Author, 2012
Average mean weight= wf/ f = 329/90=3.62∑ ∑
The average weight 3.62 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the pie chart to show levels of
acceptance of the proposition among respondents as below.
111
Figure 35: Digital and wireless communication in promotingsecurity in the regiopn
Source: Author, 2012
4.4.6. Is it true to say that using technology to monitor leadership personalities enhances entrepreneurship growth?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 38: Technology in monitoring leadership personalities to jump-start entrepreneurship growth
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 15 75
Agree 4 40 160Undecided 3 15 45Disagree 2 11 22Strongly 1 9 9
112
disagreeTOTAL =15∑ f=90∑ wf=311∑
Source: Author, 2012
Average mean weight= wf/ f = 311/90=3.46∑ ∑
The average weight 3.46 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the bar graph to show levels of
acceptance of the proposition among respondents as below.
113
Figure 36: Using technology to monitor leadershippersonalities enhances entrepreneurship growth
Source: Author, 2012
4.4.7. Is Using technology to perform operations that would be dangerous to human beings be vital in promoting production and entrepreneurship development?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 39: Technology in performing dangerous operations
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 20 100
Agree 4 35 140Undecided 3 15 45Disagree 2 11 22
114
Strongly
disagree
1 9 9
TOTAL =15∑ f=90∑ wf=316∑
Source: Author, 2012
Average mean weight= wf/ f = 316/90=3.51∑ ∑
The average weight 3.51 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition. Response was also put in the bar
graph to show levels of acceptance of the proposition among
respondents as below.
Figure 37: Using technology to do activities considereddangerous to human beings encourage entrepreneurshippractices
Source: Author, 2012
4.4.8.Can the technology can be used to reinforce social fabrics of the society through social sites and hence promote entrepreneurship as entrepreneurs are members of thesociety and cannot live in isolation?
115
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 40: Technology in reinforcing social fabrics of the society hence promoting entrepreneurship development
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 21 105
Agree 4 35 140Undecided 3 15 45Disagree 2 12 24Strongly
disagree
1 7 7
TOTAL =15∑ f=90∑ wf=321∑
Source: Author, 2012
Average mean weight= wf/ f = 321/90=3.57∑ ∑
116
The average weight 3.57 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the pie chart to show levels of
acceptance of the proposition among respondents as below.
117
Figure 38: Technology can be used to promote moral virtuesin the society
Source: Author, 2012
4.4.9. Is it true that using the technology can be used to strengthen the bond between customers and those who sell to them commodities?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 41: Technology in bonding customers and entrepreneurs
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 30 150
Agree 4 30 120Undecided 3 0 0Disagree 2 15 30
118
Strongly
disagree
1 15 15
TOTAL =15∑ f=90∑ wf=315∑
Source: Author, 2012
Average mean weight= wf/ f = 315/90=3.5∑ ∑
The average weight 3.5 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the bar graph to show levels of
acceptance of the proposition among respondents as below.
Figure 39: Use of technology creates strong bond betweenenterprenuers and consumers
Sources: Author, 2012
4.4.10. Is it in order to say that technology can be used tobring close services to the people so as to encourage
119
business potential and eliminate unnecessary delays in business transactions?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 42: Technology can be used to bring services close to customers
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 34 170
Agree 4 35 140Undecided 3 0 0Disagree 2 10 20Strongly
disagree
1 11 22
TOTAL =15∑ f=90∑ wf=352∑
Source: Author, 2012
Average mean weight= wf/ f = 352/90=3.91∑ ∑
The average weight 3.91 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
120
Response was also put in the pie chart to show levels of
acceptance of the proposition among respondents as below.
Figure 40: Technology can be employed to bring goods andservices close to customers
Source: Author, 2012
4.4.11. Is it true that using technology to collect revenue from customers will eliminate corruption and enhance servicedelivery to its citizen entrepreneurs inclusive?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 43: technology can be used to collect revenue; eliminate corruption andenhance service delivery among government institutions
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 34 170
Agree 4 35 140
121
Undecided 3 6 18Disagree 2 7 14Strongly
disagree
1 8 8
TOTAL =15∑ f=90∑ wf=350∑
Source: Author, 2012
Average mean weight= wf/ f = 352/90=3.89∑ ∑
The average weight 3.89 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the bar graph to show levels of
acceptance of the proposition among respondents as below.
122
Figure 41: Technology in collecting revenue and eliminatingcorruption hence encouraging better service delivery by thegovernment
Source: Author, 2012
4.4.12. Is using technology able to create jobs hence helping potential entrepreneurs to accumulate capital required for their intended businesses?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 44: technology cap[able of being used to generate job opportunites
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 30 150
Agree 4 30 120Undecided 3 9 27
123
Disagree 2 10 20Strongly
disagree
1 11 11
TOTAL =15∑ f=90∑ wf=339∑
Source: Author, 2012
Average mean weight= wf/ f = 352/90=3.64∑ ∑
The average weight 3.64 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the pie chart to show levels of
acceptance of the proposition among respondents as below.
Figure 42: Technology can be used to create jobopportunities
Source: Author, 2012
124
4.4.13. Do you believe that technology would be used to monitor our roads and ease congestion in the roads hence facilitating movement of goods and services?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 45: technology use in monitoring traffic
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 31 155
Agree 4 30 120Undecided 3 9 27Disagree 2 9 18Strongly
disagree
1 11 11
TOTAL =15∑ f=90∑ wf=352∑
Source: Author, 2012
Average mean weight= wf/ f = 352/90=3.68∑ ∑
125
The average weight 3.68 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the bar graph to show levels of
acceptance of the proposition among respondents as below.
126
Figure 43: Technology can be used to monitor trafficconditions in our roads to enhance traffic flow
Source: Author, 2012
4.4.14. Can technology be used to promote creativity and innovation to help in solving various problems?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 46: Technology promotes creativity and innovation
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 31 155
Agree 4 25 100Undecided 3 14 42Disagree 2 9 18Strongly 1 11 11
127
disagreeTOTAL =15∑ f=90∑ wf=326∑
Source: Author, 2012
Average mean weight= wf/ f =326/90=3.62∑ ∑
The average weight 3.62 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the pie chart to show levels of
acceptance of the proposition among respondents as below.
Figure 44: Using technology in promoting creativity andinnovation
Source: Author, 2012
128
4.4.15. Do you accept the technology would be used to facilitate quicker decision making, healthy for entrepreneurs?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 47: Technology facilitates decision making
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 30 150
Agree 4 25 100Undecided 3 14 42Disagree 2 9 18Strongly
disagree
1 12 12
TOTAL =15∑ f=90∑ wf=322∑
Source: Author, 2012
Average mean weight= wf/ f =326/90=3.57∑ ∑
129
The average weight 3.57 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the bar graph to show levels of
acceptance of the proposition among respondents as below.
Figure 45: Use of technology in fastening decision making
Source: Author, 2012
4.4.16 Do you agree that campaigns can be launched and used to popularize and encourage penetration of the technology inthe study area?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 48: Campaigns in support of the technology can encourage itspenetration in the study area
Scale Weight Number of
response
Weight * Number
of responses (wf)
130
Strongly
agree
5 30 150
Agree 4 25 100Undecided 3 15 45Disagree 2 11 22Strongly
disagree
1 9 9
TOTAL =15∑ f=90∑ wf=326∑
Source: Author, 2012
Average mean weight= wf/ f = 329/90=3.62∑ ∑
The average weight 3.62 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the pie chart to show levels of
acceptance of the proposition among respondents as below.
131
Figure 46: The technology penetration can be enhancedthrough positive campaigns
Source: Author, 2012
4.4.17 Do you agree that research and innovation can encourage penetration of the technology?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 49: Research and innovative activities can encourage penetration of the technology
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 30 150
Agree 4 35 140Undecided 3 2 6Disagree 2 20 40Strongly 1 3 3
132
disagreeTOTAL =15∑ f=90∑ wf=339∑
Source: Author, 2012
Average mean weight= wf/ f = 339/90=3.77∑ ∑
The average weight 3.77 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the bar graph to show levels of
acceptance of the proposition among respondents as below.
Figure 47: Research and innovative practices promotespenetration levels of the technology
Source: Author, 2012
133
4.4.18 Do you agree that initiating poverty alleviation projects can encourage penetration of the technology in the area?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 50: Initiating poverty alleviation projects encourage penetration of the technology
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 20 100
Agree 4 35 140Undecided 3 15 45Disagree 2 11 22Strongly
disagree
1 9 9
TOTAL =15∑ f=90∑ wf=316∑
Source: Author, 2012
Average mean weight= wf/ f = 316/90=3.51∑ ∑
The average weight 3.51 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
134
Response was also put in the bar graph to show levels of
acceptance of the proposition among respondents as below.
Figure 48: Establishing poverty alleviation projects wouldfoster quicker penetration of the technology in the area
Source: Author, 2012
135
4.4.19 Do you believe that doing a way with expatriates and engaging locals in the technology can cause high penetrationrates of the technology in the area?
Weights and number of respondents frequency in favour of
this proposition was determined and tabulated as below.
Table 51: Engaging expatriates at the expense of locals discourages penetration of the technology
Scale Weight Number of
response
Weight * Number
of responses (wf)Strongly
agree
5 34 170
Agree 4 35 140Undecided 3 6 18Disagree 2 7 14Strongly
disagree
1 8 8
TOTAL =15∑ f=90∑ wf=350∑
Source: Author, 2012
Average mean weight= wf/ f = 352/90=3.89∑ ∑
The average weight 3.89 lies higher than 3, the midpoint of
the lickert scale and it is interpreted that the respondents
agree with the proposition.
Response was also put in the bar graph to show levels of
acceptance of the proposition among respondents as below.
136
Figure 49: Engaging locals while minimizing the number ofexpatriates in the technology sector promotes itspenetration in the study area
Source: Author, 2012
4.5 Chapter summary
This chapter was concerned with data presentation, analysis
and interpretation.
The next chapter contains; a summary, conclusion and
recommendations of the study
137
CHAPTER FIVE
5.0 SUMMARY OF FINDINGS, CONCLUSIONS AND RECOMMENDATIONS
5.1 Introduction
This chapter gives a summary, conclusion and recommendations
of the study
5.2 Research Summary
5.2.1 Purpose of the study
The purpose of this study was to investigate causes of low
penetration levels of digital and wireless communication
technology in Kisumu west district in the county of Kisumu,
the relationship between investment in the technology and
entrepreneurship development and establish suitable means of
using the technology to support entrepreneurship development
in the study area.
5.2.2 The research questions
The research questions were guiding this study were:
i. What is responsible for low penetration levels of digital
and wireless communication technology in Kisumu west
district?
ii. What is the relationship between investment in digital
and wireless communication technology and entrepreneurship
development in Kisumu west district?
138
iii. How can penetration and use of digital and wireless
communication technology be used to promote entrepreneurship
development in Kisumu west district?
5.2.3 Research design
In regard to this work, a case study was chosen as an
effective method to answer the relevant research questions.
The purpose of the case study method was to obtain
information from knowledgeable entrepreneurs who have
personal experiences in the field of the researcher’s
problem situation (Zikmund, 2003).
5.2.4 Population of the study and sampling technique
5.2.4.1 Population of the study
Only entrepreneurs and customers using or consuming or
trading in gadgets of this technology were considered or
targeted for the purpose of the study. Entrepreneurs
targeted were :thirty M-pesa operators in various markets of
Kisumu West,Cybercafé owners who were three in the
district, eight Community based organizations acting as
resource centers , heads of the post secondary training
institutions in the district namely Maseno University,
Maseno Youth Polytechnic, Langi youth polytechnic, Bar Korua
youth polytechnic and Lung’a youth polytechnic,
administrators of the two private hospitals in the district
139
and two farmers who happen to had been trained in
agribusiness by the ministry of agriculture
5.2.4.2 Sampling technique and sample size
5.2.4.2 .1 Sampling technique
If clusters happen to be geographical subdivisions, cluster
sampling is better known as area sampling (Kenya institute
of management, 2009). Area sampling technique was used for
in this study. The area was divided into geographical
regions as; Maseno division and Kombewa division of Kisumu
west district of Kisumu County. Entrepreneurs, twent five
from every division were targeted as part of the population.
Fifty consumers of the technology were targeted in every
division. Only five post secondary school Institutions were
involve in the district.
Respondents were later picked by use of judgmental sampling
technique within the geographical regions herein described.
5.2.4.2 .2 Sample size
140
Sample size was determined using the formula developed by
Naasiuma (2000), which states that:
n= (NCr2)/ (Cr2 + (N-1) e2). This is explained in details in
chapter three.
A summary of sample size as got from the population is shown
in table 1 in chapter three.
5.2.5 Data collection methods
5.2.5.1 Interviews
Data collection is a critical stage of the research because
the research project is no better than data collected in the
field (Zikmund, 2003). The data for this study was collected
by the researcher in person through interviews with
entrepreneurs, their customers, and heads of post secondary
institutions of learning. The research method used; semi
formal interviews with respondents was conducted with
predetermined interview questionnaire but semi formal in the
sense that respondents were allowed to elaborate on their
answers to give more clarity. Responses during interviews
were recorded manually through notes.
5.2.5.2 Questionnaires
Questionnaire is a formalized schedule or form which
contains an assembly of carefully formulated questions for
information gathering (Kerlinger, 1973). It is a document on
which the interviewer records the answers given by the141
respondents (Quee, 1999). It is a collection of items to
which a respondent is expected to react usually in writing
or by selecting the most alternate option from the
alternative choices (Oso, 2002). This instrument was used to
collect information over a very short period of time. It was
suitable because the target population and the sample size
were literate and the information required could easily be
expressed in writing.
5.2.5.3 Observation
The researcher used observation while collecting data so as
to be able to get information needed in their natural state.
Some times respondents have the tendencies of giving
screened information and this could be easily eliminated by
so carrying out observation.
5.2.5.4 Data collection procedures
The researcher made questionnaires, observational guides and
interview schedules and involved other researchers to critic
them. They were tested for validity and reliability before
they were exposed for use by the respondents.
Members from the population of the study were allowed to
carry home questionnaires to be able to fill at their own142
convenience within a stipulated period of time which was
largely agreed upon.
Some members were interviewed; all this exercise was aimed
at establishing different views with the hope that facts
will be adduced and eventually come up with gainful
recommendations. Discussions and observation were carried
out to confirm the findings provided by the interviewers.
After the lapse of time raw data from respondents was
collected by the researcher for analysis.
5.2.5.5 Data analysis and presentation
Data collected from interviews were qualitatively analyzed
especially by correlation method as appropriate in order to
describe the nature of relationship between investment in
the technology and development in entrepreneurship,
establish factors hampering the penetration of the
technology and how best the technology can be utilized to
promoted entrepreneurship development in Kisumu west
district in the county of Kisumu
Qualitative methods were used to facilitate the explanation
of: low penetration levels of digital and wireless
communication technology in Kisumu west District of Kisumu
County, the relationship between investment in digital and
wireless communication technology and entrepreneurship
development and establishing suitable means of using the
143
technology to support entrepreneurship development in Kisumu
west District of Kisumu County.
Bar graphs, pie charts, tables and scatter diagrams were
used to present data for ease of interpretation. Computers
were used to process data and present it both in hard and
soft copies. Excel and SPSS were used for analysis;
determining percentages and generating graphs and pie charts
and producing scatter diagrams and working out correlation
coefficients respectively.
5.3 Answers to research questions
5.3.1 What is responsible for low penetration levels of digital and wireless communication technology in Kisumu westdistrict?
5.3.1.1 Lack of infrastructure
Respondents in the study agreed that infrastructure
necessary for adoption of digital and wireless communication
technology was not in adequate supply in the area.
Electricity interruptions and lack of electric power in
various areas was a drawback in the implementation of the
technology to foster entrepreneurship development. A number
of areas were lacking good broadcast and telecommunication
infrastructure which forms the backbone to this technology
application and use. Lack of good roads serving the area was
also considered by many participants as a cause to low
penetration of the technology in the area. Accessing base
144
stations becomes difficult to internet service providers to
carry out maintenance work. This cuts off communication
links at times hence, hindering technology use and
penetration level in the district. This concurs with works
of other authors who had indicated that lack of
infrastructure discourage the penetration of digital and
wireless communication technology (Kessy et. al, [2006];
Obijorfor et.al, [2005]).
5.3.1.2 Funding
From the findings it is clear that lack of proper funding is
a cause to low penetration levels of this technology in the
study area. Entrepreneurs are deprived of purchasing power
once funding is limited. The government has been faulted for
having not given proper funding towards the technology
sector and imposing high taxes on the technology sector
players.
High cost of hardware and software and inadequate credit
facilities offered by financial institutions are also to
blame for slow pace of technology penetration in the area.
This proposition is also held by others (Research
technology,[2011]; Nyabiange,[2011]; Parhaland et.al,[2002];
Nettesheim, [2002]).
5.3.1.3 Security
145
Civil unrests cause a lot of property to be damaged. This
hinders the growth and penetration of this technology and
this was supported by substantial number of respondents in
the study concurring with Obijorfor et al, (2005) and Kessy
et al, (2000).
Computer security causes a lot of financial loss to
entrepreneurs and their customers. Sometimes even data of
great importance gets destroyed. Participants in the study
supported this idea concurring with past works ( Shahonya,
[2011]; Stallings, [2005]; Dafalla, [2011]; Wambugu, [2011];
Richmond, [2011]; Nyabiage, [2011]; Ekine, [2009]).
Lack of policies to regulate technology use poses a lot of
risks to ecommerce players. Without proper rules and
regulations if one gets legal injury then getting legal
redress becomes very difficult or impossible ( Obijiorfor et
al,2005). This scares people from using the technology. Many
respondents agreed to this proposition.
5.3.1.4 Societal issues
If used carelessly without responsibility, the technology
can cause moral decadence, which scare users and slows
penetration rate of the technology in the study area
(Universal Brouhaha, 2010). In this study respondents agree
with this reasoning. Corruption denies entrepreneurs means
of getting opportunities and services from various industry
146
players ( Kessy et al, 2006). This was supported by
respondents in this study.
Naturally people fear changes and effects of the unknown.
This discourages the use of technology and its penetration
(Mutambo, 2011). This is the same position held by most of
the respondents in the study.
5.3.1.5 Labour issues
Many people accept that this technology would easily render
a number of people jobless (Letiwa, 2011). Respondents in
this study were rather neutral on this matter; they never
accepted nor denied this proposition.
5.3.1.6 Health issues
Some publications have reported that the technology is
carcinogenic and would enhance chances of getting cancer
related illness among consumers of this technology. This has
been contradicted by other researchers. These unclear
sentiments discourage users of this technology hence
curtailing penetration of this technology in the study area
(Mobile phones, 2011). In this study respondents objected to
the idea that the technology is carcinogenic.
5.3.2 What is the relationship between investment in digitaland wireless communication technology and entrepreneurship development in Kisumu west district?
147
In the study it was found that increased investment in the
technology caused an increase in: the number of employees in
the technology sector, the value of educational material
obtained from the technology related devices, value of
health services extended to patients through telemedicine
practices, volume of sales, time saved in hours during
business transactions, returns from M-farming, number of
customers served from remote locations, value of commodities
which the use of technology saved from going stale, cost of
travelling saved, number of new friends created and
contacted frequently, cost saved on consultancy on matters
relating to poverty alleviation, cash saved from
misappropriation due to corrupt deals, number of people
contacted on leadership of various organizations and number
of decisions made.
The cost of paying bills decreased as the investment in the
technology increased. This lowers the expenses on the side
of the entrepreneur hence creating bigger profit margins for
them subsequently, encouraging the development of
entrepreneurship.
5.3.3 How can penetration and use of the technology be enhanced to promote entrepreneurship development in Kisumu west district?
5.3.3.1 Promoting penetration of digital and wireless communication technology
148
The study findings show that most respondents supported the
following as means of fostering penetration rate of the
technology in the study area: facilitating access to
electricity and ensuring that the same is in uninterrupted
supply, requesting multinational companies dealing in
computing devices to provide low cost items, eliminating
ignorance and popularizing the technology through campaigns,
formulating suitable policies to regulate the use of the
technology, establishing means of minimizing cyber crimes by
putting appropriate security features, encouraging research
and innovation to allow for localization of software,
initiating poverty alleviation projects and eliminating
engagement of expatriates and opting for locals in
maintenance and repairs of hardware.
Other suggested ways of enhancing penetration levels of the
technology were: zero rating taxes on computing devices and
providing good leadership practices to give improved
environment for entrepreneurs.
5.3.3.2 Best means of using digital and wireless communication technology to foster entrepreneurship development
From the study the following were supported as the best
means of using digital and wireless communication technology
to enhance entrepreneurship development: developing
versatile software to promote service delivery, using the
technology to create job opportunities, using technology in
149
imparting knowledge, using technology in attending to
patients from remote locations i.e. telemedicine, using the
technology to promote good governance practices, using
technology to help in finding better poverty alleviation
projects to initiate in various localities, using technology
in checking deliveries and stock, using technology to
eliminate unnecessary travelling costs, using the technology
to monitor traffic so as to ease congestion along our roads
and using the technology to promote social and economic
development.
Other best uses of the technology of the technology from
this study include: enhancing security practices, performing
activities that are considered dangerous to human beings,
promoting quicker decision making and creativity and
innovation among entrepreneurs.
5.4 Conclusions
Based on the summary of the findings above the researcher
made the following conclusions:
In the first place, regarding the subject of what is
responsible for low penetration levels of digital and
wireless communication technology, this is how the scenario
is: That penetration of the technology in the study area has
been hindered by lack of required infrastructure, inadequate
funding, poor computer security practices and civil unrests,
societal problems like corruption, and fears on health as
150
some publications had indicated that the technology is
carcinogenic to human beings. Labour issues regarding fear
of replacement of human work force with machines in this
study was never accepted nor rejected as a cause to low
penetration of the technology in the area. This made the
researcher to conclude that respondents were never decided
implying that in away it can lead to human labour or create
opportunity for human labor depending on the situation at
hand at any given time.
Secondly, on the issue of what the relationship between
investment in digital and wireless communication technology
and entrepreneurship development is , this is what the data
reveals; That there exists a positive relationship between
investment in digital and wireless communication technology
and entrepreneurship development; meaning an increase in
investment in the technology caused an increase in
entrepreneurship development. An increase in the investment
in technology caused a decrease in cost of paying for bills
incurred by various entrepreneurial activities. This can be
interpreted to be enhancing development in entrepreneurship
as the main aim of an entrepreneur is to maximize profits
and this creates bigger profit margins by lowering cost of
production.
Finally on the matter of how penetration and use of the
technology could be promoted to foster entrepreneurship
151
development, this is what the data produced; That the
technology penetration could be enhanced by facilitating
access to electricity and ensuring that the same is in
uninterrupted supply, requesting multinational companies
dealing in computing devices to provide low cost items,
eliminating ignorance and popularizing the technology
through campaigns, formulating suitable policies to regulate
the use of the technology, establishing means of minimizing
cyber crimes by putting appropriate security features,
encouraging research and innovation to allow for
localization of software, initiating poverty alleviation
projects and eliminating engagement of expatriates and
opting for locals in maintenance and repairs of hardware,
zero rating taxes on computing devices and providing good
leadership practices to give improved environment for
entrepreneurs.
It was also revealed clearly from the study that technology
use could be better utilized to promote entrepreneurship
development by : developing versatile software to promote
service delivery, using the technology to create job
opportunities, using technology in imparting knowledge,
using technology in attending to patients from remote
locations i.e. telemedicine, using the technology to promote
good governance practices, using technology to help in
finding better poverty alleviation projects to initiate in
various localities, using technology in checking deliveries
152
and stock, using technology to eliminate unnecessary
travelling costs, using the technology to monitor traffic so
as to ease congestion along our roads and using the
technology to promote social and economic development,
enhancing security practices, performing activities that are
considered dangerous to human beings, promoting quicker
decision making and creativity and innovation among
entrepreneurs.
5.5 Recommendations
The researcher made recommendations presented hereunder.
5.5.1 Policy makers and the government
That the government and concerned stakeholders in the
technology sector should put in place good infrastructure to
support the penetration of this technology. The
infrastructure includes electricity, roads, and broadcast
and telecommunication networks. Policies should be quickly
formulated and put into use to protect users of this
technology. This would encourage penetration levels of the
technology.
Funding and credit facilities should be extended to players
in the technology sector. The government should zero rate
taxes on computer related products and subsidize
establishment costs for those who are investing in the
153
technology to motivate them hence encourage penetration of
the technology.
Citizen should also be educated on the importance of
maintaining peace and how important it is in encouraging
development and penetration of the technology which is vital
for entrepreneurship development. The technology should be
used to promote good leadership and governance practices
while discouraging corrupt deals.
5.5.2 Entrepreneurs
Entrepreneurs and consumers of this technology should be
informed appropriately to appreciate the importance of this
technology and encourage them in using it in promoting moral
values in the society. They should be put to understand that
the technology is noble and that users are the ones misusing
it to promote moral decadence in the society.
Computer security practices should be enhanced and key
players in the industry enlightened on the need to secure
data and their systems to protect them against loses that
would hinder the use and penetration of the technology.
Entrepreneurs should inform Trade unions that the technology
is meant to improve efficiency and production but not to
eliminate human work force at various places of work.
Entrepreneurs and consumers should be told that the
technology is not carcinogenic and with good use can be put
154
to solve health problems. Non- factual statements that are
meant to undermine the benefits of this technology should be
discouraged by entrepreneurs.
5.2.3. Software developers
It is recommended to software developers to come up with
more versatile software that would allow for commercial
transactions in a secure manner.
Generally investment in the technology should be increased
as increase in investment in the technology translates to
increased entrepreneurship development. Increased
entrepreneurial activities cause economic development of a
country and sot his should be supported by the government
and relevant stakeholders. Best practices involving the use
of technology should be used to spur development in
entrepreneurship.
5.6 Recommendations for further studies
This report makes recommendations for further studies in the
following area:
I). Effect of digital and wireless communication on the
purchasing behavior of youthful entrepreneurs in Kenya
2). Examine how development affects various factors of
production with a view to promoting entrepreneurship for
economic growth in Kisumu county.
155
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APPENDICES
WORK PLAN/ TIME TABLEThe study was conducted according to the time table shown below.
TIME IN SEPT,201 OCT,201 NOV, JAN FEB MARCH APRIL MAY
167
MONTHS 1 1 2011 ,
201
2
,
201
2
2012 ,
2012
,20
12
ACTIVITY
Source: Author, 2012
Key
Drafting research proposal and Testing data collection instruments
Visiting the area of research anddistributing collection
instrumentsCollecting research instruments from respondents and analyzing data from thefield
Presenting the research
report
168
THE BUDGET FOR THE STUDYThis budget was used in the study to finance it properly
without a hitch.
Table 52: Budget
ITEM COST IN KSHFlash disk 4000Secretarial services 18000Reprographic services 6000Transport 12000Meals during study 8000Motivation to respondents 11400Telephone 9000Miscellaneous Costs 4360TOTAL 72760Source: Author, 2012
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QUESTIONNAIREThis study is a requirement as part fulfillment for the
conferment of Masters of Science Degree in Digital and
wireless communication. The researcher therefore requests
that you fill this questionnaire honestly for the purpose of
attaining workable results. Data will be handled with great
responsibility and the researcher will whatsoever not cause
ethical or legal injury to participants.
Kindly tick your answers as appropriate
PART A
1. Is electricity in adequate supply enough to encourage the
use and penetration of digital and wireless communication in
the county?
170
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
2. Is your business area supplied with good broadcast and
telecommunication facilities so as to support the use and
penetration of digital and wireless communication?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
3. Are there good transport networks in your place of
operation to spur faster penetration of the technology in
the County?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
4. Has the government been giving enough financial
assistance to support the high penetration rates and use of
digital and wireless communication in the county?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
171
5. Have other stakeholders been giving adequate credit
facilities to encourage the use and penetration of digital
and wireless communication technology?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
6: Do you accept that security issues are among the many
other things which are hampering the, would be rapid
penetration and use of the technology?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
7. Do you agree that civil unrests have caused the slow
penetration rate of the technology in the county?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
8. Is it true to say that many people fear change and are
resisting the use hence penetration of this technology?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
172
9. Is it true to say political leaders are very slow in
formulating policies to regulate the use of the technology
hence, causing fear to adopt and foster the penetration of
the technology among residence of the county?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
10. Is corruption responsible for poor telecommunication
network in the county and so causing slow penetration of the
technology?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
11. Do you believe that the technology is carcinogenic to
human beings thereby causing its slow penetration?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
12. Do you believe that once people get to use this
technology then persons working in such fields shall be
rendered jobless and some trade unions are advocating
against the use of digital and wireless communication
technology?173
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
13. Do you accept that high taxation by the government is a
threat to penetration and subsequent use of this technology?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
14. Do you accept that some persons feel that the technology
is highly responsible for moral decadence in our society;
that its use should be discouraged hence causing its low
penetration in the county?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
15. Is the high cost of hardware and software a hindrance to
penetration of the technology in the county?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
PART B
This section is meant to enable the researcher to determine
and explain the relationship between the investment in
174
digital and wireless communication and development in
entrepreneurship in the research area. Kindly take your time
and give approximates as appropriate. Some sections are to
be filled by specified persons. Kindly take note of this.
1. Give an estimate of your investment in the technologyagainst the number of employees engaged as appropriate.
Investment value in KSH No. of employees involved12345
2. Kindly give estimate value of educational material obtainedthrough this technology in relation to the value of investment in
the technology at the time.
Investment value in KSH Value of educational material
obtained500010000150002000025000
175
3. Estimate the value of health services extended to your
customers while using this technology corresponding to
approximate value of your in the technology (Health workers)
Investment value in KSH Value of service in KSH500010000150002000025000
4. Estimate the volume of your sales through the technology
corresponding to the appropriate values of your investment
in digital and wireless communication technology.
Investment value in KSH Volume of sales in KSH500010000150002000025000
5. Estimate the time saved in terms of hours corresponding to
your investment in the technology i.e. at a certain value of
investment, how much in terms of time were you able to save in
the course of your business dealings?
Investment value in KSH Time saved in hours
176
500010000150002000025000
6. Make an estimate value of your yields from your farm
against your investment in the technology. (For those
engaged in M-farming)
Investment value in KSH Returns in KSH5000100001500020000250007. Give an estimate number of customers reached using the
technology against investment in the technology.
Investment value in KSH Number of customers500010000150002000025000
177
8. Give an estimate value of goods you were able to detect
their expiry date using the technology and the value at the
time (Health workers and sellers of edible commodities).
Investment value in KSH Value of goods that
technology was used to detect
their expiry date5000100001500020000250009. State how much was saved in terms of travelling cost when the
cost of investment was as indicated
Investment value in KSH Cost of travelling saved500010000150002000025000
10. State how many friends you created when the cost of your
investment was as follows.
Investment value in KSH Number of friends contacted/
created5000
178
10000150002000025000
11. Give an estimate value of savings on consultancy charges
on poverty alleviation projects that you have managed to get
while using this technology and corresponding investment at
the time. (Community based organizations)
Investment value in KSH Savings on consultancy500010000150002000025000
12. Give an estimate value of cash that the technology has
ever helped you to save from misappropriation (if any) and the
corresponding value of investment in the technology at the said
time.
Investment value in KSH Cash that would have been
lost5000
179
10000150002000025000
13. Give an estimate number of people you have ever talked
about leadership of an organization through the technology
and the corresponding value of your investment in the
technology at the time.
Investment value in KSH Number of people contacted500010000150002000025000
14. Give an estimate number of decisions made after applying
the technology to search for suitable decisions against your
investment in the said technology.
180
Investment value in KSH Number of decisions made500010000150002000025000
15. What was your cost of paying your bills compared to your
investment in the technology? (The cost here excludes the bill
itself).
Investment value in KSH Cost of paying bills500010000150002000025000
SECTION C
This section is to help the researcher find best means of
using digital and wireless communication technology to
foster entrepreneurship development. Kindly put a tick as
appropriate.
181
Do you believe that:
1. Causing software to be versatile to do arrange of
activities e.g. sending money, withdraw, apply and receive
loans and other transactions would help in developing
entrepreneurship in the district?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
2. In cooperating to address health issues shall foster
entrepreneurship growth in the district?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
3. Using technology to disseminate knowledge shall enhance
development of entrepreneurship in the district?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
4. Using the technology in carrying out market research can
promote growth in entrepreneurship in the district?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……..
5. Using the technology to enhance security consequently
fosters development in entrepreneurship?
182
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……
6. Using technology to monitor leadership personalities
enhances entrepreneurship growth?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……
7. Using technology to perform operations that would be
dangerous to human beings would promote production and
entrepreneurship development?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……
8. The technology can be used to reinforce social fabrics of
the society through social sites and hence promote
entrepreneurship as entrepreneurs are members of the society
and cannot live in isolation?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……
9. Using the technology can be used to strengthen the bond
between customers and those who sell to them commodities?
183
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……
10. The technology can be used to bring close services to
the people so as to encourage business potential and
eliminate unnecessary delays?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……
11. Using technology to collect revenue from customers would
eliminate corruption and enhance service delivery to its
citizen entrepreneurs inclusive?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……
12. Using technology would create jobs hence helping
potential entrepreneurs to accumulate capital required for
their intended businesses?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……
184
13. The technology would be used to monitor our roads and
ease congestion in the roads hence facilitating movement of
goods and services?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……
14. Technology can be used to promote creativity and
innovation to help in solving various problems?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……
15. The technology would be used to facilitate quicker
decision making, healthy for entrepreneurs?
Strongly agree………..Agree……….Undecided……. Disagree……Strongly
disagree……
185