THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN IT WEAKNESSES IN INTERNAL CONTROL...
Transcript of THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN IT WEAKNESSES IN INTERNAL CONTROL...
Indian J.Sci.Res.4 (4):36-53, 2014 ISSN: 0976-2876 (Print) ISSN: 2250-0138(Online)
1Corresponding author
THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN
IT WEAKNESSES IN INTERNAL CONTROL AND BUSINESS UNIT PERFORMANCE
ARASH DARAEI1a AND HASSAN RANGRIZ (Ph.D)b
aDepartment of Accounting, Science and Research Branch, Islamic Azad University, Zahedan, Iran.
bFaculty Member, faculty of Management, University of Economic Sciences, Tehran, Iran.
ABSTRACT
Today, modern businesses to implement various activities are essentially established based on IT. The increasing
reliance on IT knowledge along with the complexity of IT systems development and nature of its interference and continuous changes have increased the risk of using these systems and it required to implement internal controls to reduce
these IT risks. The question is that whether to invest in the quality of control processes will improve the financial
performance of the companies or not? and if yes, how will this happen? That we have examined in this study.Due to the
increasing importance of the control of IT, designing management process to focus on the control of these processes remains a challenge and there are various aspects to identify and manage risks. Unlike the vast resources available in the
field of computer science that investigates the technical aspects of IT security, computer systems, standards and
procedures, research to examine the economic aspects of IT controls would have been very few. Data for this study consists
of the weaknesses of modern IT and Software deal has been used for other variables through questionnaire. In this study, the regression method was used to predict and the results will be generalized to the community analytically. According to
the results of this study can be said that IT weaknesses in the internal control process adversely affect the accounting
profits and reduces it. The mentioned weaknesshasadverse and modified effect on relationship between accounting earnings and the market value.
KEYWORDS: Internal control, information technology, IT business value, market value
Today, modern businesses to implement
various activities are essentially established based on
IT. The increasing reliance on IT knowledge along
with the complexity of IT systems development and
nature of its interference and continuous changes
have increased the risk of using these systems and it
required to implement internal controls to reduce
these IT risks. These controls include safety
principles management, operation and technique in
information system in order to maintain reliability,
integrity and availability of information systems
(ISO/IEC 2005; ITGI 2005; NIST 2006). In the
United States most recent state and federal laws such
as HIPPA law in 1996, the Gram Leach Bliley in
2001 and the most important law for firms in the
exchange that is Sarbanes Oxley Act or SOX in 2002
have raised issues in the field of IT process control in
business activities. Despite the growing importance
of IT controls, designing management process to
focus on IT control processes remains a challenge and
there are various aspects to identify and manage risks
(Power, 2009). In this study, we developed the idea
based on that any shortcoming in the conduct of these
controls causes corporate responsibility of the
company and empirically examine the performance
indicators of weakness in the internal control process
of IT. Unlike the vast resources available in the field
of computer science that investigates the technical
aspects of computer systems and information
technology standards and procedures (Baskerville
1993; Dhillon 1997; Backhouse et al, 2006; Siponen
and Livari 2006) So far researchto examine the
economic aspects of IT controls have been very few;
many of these resources are in relation to the models
to determine the optimal amount of capital to be used
to protect a set of data(Gordon & Loeb,
2002),provide methods to identify and quantify
potential security events and estimate potential
losses (Baskerville 1991; Straub &Welke 1998;
Wang et al. 2008)or analytical and experimental
studies testing economic issues associated with
software vulnerabilities such as disclosure of
information and patching the software by vendor
(customer perspective). The main part of the research
in this field has been by reading online resource that
is closely related to our paper in response to stock
issues in the field of information security, and
invasion of privacy (Campbell et al. 2003; Cavusoglu
et al. 2004; Acquisti et al, 2006). These studies have
tried to estimate economic costs of ineffective
security controls indirectly by focusing on a group of
defects that are identified as violating the privacy of
personal information. These reports were somewhat
complicated. Analysis conducted by Cavusogluand
others in 2004 presented significant negative
reactions in this field and research conducted by
Campbell and others in 2003 did not show such
results. Research conducted byAcquistiand others in
2006 showed that there was a considerable negative
reaction to the news of the day in the field of
DARAEI AND RANGRIZ: THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN IT..
Indian J.Sci.Res.4 (4):36-53, 2014
information security in the stock market; However,
they also found that after two days of unusual
feedbacks have been lessened and after five days these
feedbacks disappeared. On the other hand, in all these
studies only focus was to declare the security
issues and there was no reference to the impact of IT
internal control processes on business performance
thus, compared with previous studies this paper
provides direct empirical evidence about the
effectiveness of internal control processes dereliction
of performance in IT companies and we do not focus
on the results of public disclosure. The total number of
recent studies has addressed issues related to weak
internal control processes. Further work has been done
to focus to investigate the determinants of internal
control weaknesses processes of IT (AshbaughSkaife
et al. 2007 , Doyle et al. 2007a) and the potential
impact of weaknesses on quality system
(AshbaughSkaife et al. 2008). In addition to two
studies that have been carried out recently in the capital
costs (Beneish et al. 2008; AshbaughSkaife et al. 2009)
different results have been obtained. Research paper
very similar to the current paper illustrated market
reaction to the disclosure of information in this area
with numerous examples (Hammarsley et al.
2008).Theresults and events of these studies are
complex, one reason is that revealing disclosure results
do not ever give new entries in the market and
weaknesses in internal control processes in
performance results and other irregularities in a
company is expressed; another reason for the
inconsistent results obtained could also be that this
previous research in general just had weak internal
control processes and differences in the types of
weaknesses in the process of the surveyed companies
have been ignored. Many researches are currently
investigating the relationship between the weakness of
internal control processes of IT and monitoring these
controls (Li et al. 2007), audit fees (Canada et al.
2009), and investment return in this regard (Masli et al.
2009). In this paper, we present a discussion based on
the existence of weaknesses in internal control over IT
processes that is indicative of poor data quality and the
results of a concurrent study shows that forecasts of
revenue in financial statements of companies that have
weakness in the system are less accurate. The
functional results of such weakness have not been
investigated in our research. The question is that
whether to invest in the quality of control processes
will improve the financial performance of the
companies or not? and if yes how this can happen.
In this paper, we first examine corporate
responsibility in the process of creating an IT internal
control and impact ofweaknesses on firm performance
and then the relationship between IT weaknesses in
internal control processes and firm performance will
be evaluated in two areas.One of these issues was a
correlation between internal control processes of IT
quality and impacts ofthese weaknesses on company's
current performance that is measured using return on
assets (ROA). We found that companies with
weakness in these control processes relatively
havelessreturn on assets (ROA) than the companies
that have no such weakness. In the second part of the
analysis, this paper examines the relationship between
quality of control processes and corporate performance
by providing and testing a model in the field ofhow to
engage in risk-related effects on stock prices by
investors.In this case particularly using the framework
provided by Olson in residual income valuation (RIV),
we will examine the effects of direct and indirect
quality control processes on corporate market value. In
this study we found that the quality of the internal
control process of IT does not have a direct impact on
market value, although we found that the quality of
these processes have the opposite and modified effect
on the relationship between financial income and the
market value of the company; In other words, the
empirical results obtained show that the income level
have less use in determining the market value of the
Company's internal control over IT processes and is in
proportion to the view which we have discussed in this
article, based on which the non-implementation of the
internal control process by the techniques of
information technology can indicate poor performance
and low-quality financial reporting. This paper
provides empirical evidence suggesting that the risks
related to information systems are priced by capital
markets and offers information on the quality and
usefulness of IT control processes to investors.
Another result of this study in theory is that the
implementation of internal accounting control
processes using IT is to create competitive advantage
and the focus of this paper is not to recognize the
benefits of these powerful techniques utilizing IT
control causing to be existed, but the risk is more due
to lack of proper implementation of these processes. In
the next section the theoretical framework, the
operation of the internal control weaknesses of IT and
related assumptions have been provided. Our research
model and its associated design are presented in
section 3 of this article. In the fourth section of this
article we will review the data and its analysis. The
fifth section is also devoted to the implementation of
additional tests, during which the modified
relationship (formula) used and also instead of using a
whole range of IT weaknesses in the internal control
process variables,separate variables are used. One of
the strengths of this study is the separation of IT
weaknesses intoeight separated subsets that will follow
more and accurate management of these weaknesses.
DARAEI AND RANGRIZ: THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN IT..
Indian J.Sci.Res.4 (4):36-53, 2014
Finally, the sixth section will discuss the results
obtained.
Theoretical Framework, the Importance Of
Performance And Assumptions
Theoretical Framework: IT ICW as a corporate
responsibility
Transformation description in company's
performance mainly focuses on many resources on the
organization's financial policy. Powell and
Arregle(Powell and Arregle 2007) stated that
companies compete on the basis of two main basis one
of which iscompetitionadvantage based on that the
propulsion performance of a company is based on its
high functionality and no imitation and other one is
company errors based on a company's performance
which is affected by errors associated with the
activities, resources and opportunities that companies
confront. Arend (Arend 2004) called these errors as
corporate debt and other researchers (Powell 2001)
called competitive disadvantages due to factors that
reduce the corporate responsibility also some
researchers have labeled these factors as sources
weakness and characterized failure (West and
DeCastro, 2001). As a result, companies even in the
absence of pro-competitive benefits can also act
differently. Corporate responsibility or competitive
errors are not considered mirror image forms of
competitive advantages and are completely
independent of each other so if the competitive
advantage starts from of a company's non-duplication
of functionality and specific resources, competitive
errors are not related only to the absence of such
resources and is defined as the failure to achieve even
minimal success or failure of a company to achieve
strategic factors of relevant industry (Amit and
Schoemaker , 1993) that is primary requirement is each
company (Powel , 2001:877). Corporate debt will
cause damage to the credibility of a company and
through this strikes company and the case is different
with organizational no success (Arend, 2003) and thus
cause effects on firm performance without reference to
competitive advantage. In the research we will check
whether the type of corporate debt as due to weakness
in IT control processes will change company's
performance or not.
By focusing on primary basis of competition
(the basis of competitive advantages), major part of
this work examines the competing values associated
with application of information technology since the
advent of this technology two decades ago up today. A
large part of recent research is related to resource-
based theory of the firm as a basic theoretical
framework. Resource based view (Wernerfelt 1984;
Barney 1991) or RBV is in search of an explanation for
the description of competitive resources.
This theory attributes competitive advantage to
the particular workings of companies, resources,
capabilities and tangible and intangible assets. Based
on the theory of RBV, several papers have discussed
(Eg, Aral & Weill 2007; Bharadwaj 2000, Jeffers et al,
2008; Mata et al, 1995; Melville et al, 2004; Ray et al,
2005; Ravichandran&Lertwongstein 2005; Wade
&Hulland 2004; Wang &Alam, 2007) in the field of
authenticated empirical basis for the concept that IT
technology can create a source of competitive features
of the following at least two methods.
(A) When a company has the resources and
capabilities of valuable, rare and costly IT to be copied,
these processes can create competitive advantages for
companies.
(B) When companies complete these
processes in order to identify potential uses as an
additional process.
However, according to RBV theory a
company to create a competitive advantage shall be
able to follow many organizational requirements and
invest in a variety of resources that are rare and
difficult to copy including IT resources. One can also
say that according to this theory that is based on
expectations of resources based, hardware and
standard software and also advanced technologies of
IT which are available and information technology
increasingly becomes an appropriate agent to produce
(Carr, 2003,Clemons, 1991). This does not mean that
companies should not invest on public resources of
information technology investment on such resources
needed to achieve success in the modern economy and
companies that do not invest enough in technology and
do not manage the risks associated with will be
includedin those companies faced competitive
disadvantages. As organizations increasingly rely on
information technology we conclude that the inability
to achieve internal control processes for their IT will
inevitably cause defects and is considered negative
factor that the company is responsible for making
changes in performance.
Performance Importance of IT ICWs
Integrity and reliability of data generated by
an organization's information systems are critical
issues that are not only to generate acceptable financial
reports but also are necessary for the overall success of
the financial system (Krishnan et al, 2005). Although
weaknesses in financial reporting performed in internal
DARAEI AND RANGRIZ: THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN IT..
Indian J.Sci.Res.4 (4):36-53, 2014
control without IT may be a misrepresentation of
financial events but weaknesses in the internal control
of financial reporting by business IT can also affect
important business functions (such as administrative
processes, archive and protect raw transactional data)
and also effective on the creation of reliable financial
reporting. These differences in how to implement
internal controls monitoring on evaluating companies
is no different but an important point for these
companies in the ranking is the existence of
weaknesses in internal controls which in turn comes
from the implementation of these control processes.
Researchers called Moody (Moody) has stated that
although the weaknesses associated with financial
calculations (weaknesses of type A) through actual
tests are detected by auditors and therefore there is no
concern for the reliability of these reports but
identifying internal weaknesses of each company
(weaknesses of type B) is made more difficult by the
audit because these weaknesses are pervasive, not only
stops its preparation of accurate financial reports but
also can influence on taking control of management
capabilities to the company's performance (Doss &
Jonas, 2004).Although weaknesses of the internal
control process without creating information
technology can be both put in weaknesses group but
PCAOB Standard No. two of institution in particular
expresses that IT controls shall be accomplished in the
company's internal control and should be widely used
to process performance and preparing financial reports
(PCAOB 2004).
Costs associated with weakness in the
financial statements may include various
components. First the cost of correcting errors
and losses from the system and unreliable and
unsafe data including cleanup process, removal
claiming in this field, damage to company
reputation and reduce organizational IT systems
to ensure employees. On the other hand, these
certain expenses that are a manifestation of
weakness in internal control processes will
reduce income due to loss of positions and lack
of customers and business partnersβ happiness.
With respect to the integrated nature of
economic systems, decision making and current
performance, existence of weakness in internal
control process using information technology
show thatthe organization to reach objectives
related to achieving secure systems and reliable
financial data to support their functional
activity, management decisions and expectations
of customers and suppliers and their trading
partners has failed. In other words, the weakness
in internal control processes lead to weakness in
the company's performance capabilities which
are related to Information Technology and
create competitive disadvantages that have a
negative impact on corporate profitability. This
will form the basis of our first hypothesis:
First hypothesis: Existence of weaknesses in
the internal control of information is inversely related
to the accounting profit.
Existence of such weaknesses as well as
cause effects on the company's current income
willcause also effects on investors and their
expectations about the future prospects of a company.
With respect of the capital markets with high
efficiency, estimating the size and value of a company
should reflect the best assessment of the present value
of the future earnings of the company (Fama, 1970). A
large part of this research is to show the perspective of
capital markets in financial data and accounting firms
(especially income) (Kothari, 2001). Reviewing
current earnings of a company is not necessarily
indicative of future profitability and hence not fully
reflects the value of the firm in the capital market.
Previous research has shown that IT can improve the
future performance of the Company's internal control
processes. For example, this technology can improve
customer service, better quality of services and
products, supporting modernization plans and the
flexibility of the better system in any company.
Previous research has shown that investors have the
ability to identify and pricing such capabilities
(Anderson et al, 2006; Bharadwaj et al, 1999;
Brynjolfsson et al, 2002; Sambamurthy et al, 2003;
Wang &Alam, 2007).
With a similar expression we shall say that
weakness in internal control over IT processes lead to
organizational liabilities (organizational liability) that
reflect a decline in the ability to achieve future value
of the assets of ITincluding IT tools and also
uncertainty about the quality of organizational
processes provided by IT. Existence ofthese
weaknesses has a negative effect on the market value
of a company on capital market and amount of this
effect is to the extent that investors consider their
weaknesses and drawbacks in terms of their estimates.
So we claim that this lack of effect in addition to the
current income of the company (first hypothesis), has
a direct and negative impact on the future value of the
company.
Second hypothesis: the existence of IT
weaknesses in the internal control process is associated
with the market value of a company (ie. a negative
correlation with equity market value of a company).
DARAEI AND RANGRIZ: THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN IT..
Indian J.Sci.Res.4 (4):36-53, 2014
Existence of these weaknesses, in addition
to the direct impact on the market value of a company
can also affect the amount of believability of future
profits of a company by investors and hence affect the
market value of a company. Much of this research
suggests that a firm's accounting information
(especially information related to corporate profits), is
in fact awareness information about a company's future
financial condition therefore the market value of a
company is affected by them (Kotahri 2001). Strong
internal controls are keys to build strong and reliable
financial reports (AshbaughSkaife et al, 2008, Doyle et
al. 2007b). To the extent that financial reporting
processes in modern enterprises are performed by
using IT, weaknesses in these processes can Change
attitudes of investors about the reliability and validity
of reported by corporate profits. Reduce the feeling of
confidence increases the risk of reliance on the
information associated with the company's current
earnings to predict future earnings of the company.
This risk will increase the probability that investors
make decisions related to pricing, the company as a
weak and inefficient with respect to these casesboth in
theory and practice (eg, Easley and O'Hara 2004) and
empirical (eg, Francis et al. 2004 , 2005) associated
with participation in the capital market are valued. In
summary, it should be noted weaknesses in internal
accounting control processes using information
technology due to influence market expectations by
creating signs that the company reports are not reliable
or are less validated than before. Therefore, we assume
that dividends and earnings of a company when it has
a weak internal control processes in IT is having less
of an impact on the value (valuation) of the company
(or is less efficient to increase the company's market
value).
The third hypothesis: there are weaknesses in
the internal control of information technology has a
negative impact on the relationship between profits
and market value adjustment of the company
RESEARCH METHODOLOGY
The research method in this research study is
the predictiontype:this type of research is to learn the
relation between variables but it is not after the cause-
effect relationship between variables.Methods of
analyzing data are quantitative or statistical that in this
case research findings are quantifiable. The use of
quantitative statistical method in this project is
performed using inferential statistics: in this type of
analysis results of the study on a small group called the
sample can be generalized to the larger group as
population. Data are quantitative and in case of
usingqualitative data initialize them with 0, 1, or in
other cases, that are converted into quantitative data.
Type of research application in this paper is
fundamental research (basic) (the
Researchclassification based on target): basic research
discovers scientific laws and principles and seeks to
develop knowledge of the principles and scientific
laws. A fundamental study on the applicationmay not
be objective but in the long run it will be the basis for
the development of knowledge and perform other
research. The purpose of this research is to establish a
theory by exploring the principles or general rules and
does not pay attention on much practical application.
The results of such research are often general and
abstract. The purpose of this research is to further
theorizing. Fundamental research is on both empirical
and theoretical issues. In thepresentstudy that is
fundamental-experimental, data and original
informationcollected using observation, interviews
and⦠and analyzes them by regression statistical
methods and correlation.
Data and Sample Selection
Data collected in this study was based on the
methods and documents to the library, so the library is
used to develop a theoretical investigation of
information needed to test hypotheses based on the
available data on the stock exchange and in part of the
work related to IT in the process of gathering
information about the state of internal control of the
company data were collected using a questionnaire.
The questionnaire contains 45 questions related to IT
controls respectively. The data collected by the New
Deal 3 software is also used. Mentioned software did
not offer directly advertising fee which is one of the
variables used in this study, website of βresearch,
development and Islamic studiesβ have been used in
the internet address of www.rdis.ir to receive PDF files
of financial statements of companies.
The data for this study is collected from the
Stock Exchange and if necessarywill be taken from the
archived audit firms. The survey was performed on 400
companies listed on the Stock Exchange during the ten
year period from 2001 to 2010. This process creates a
sample consisting of 4,000 firm observations of FY.
Research model for this study are the following
assumptions:
H1
H2
H3
Financial
Income
Reported
IT Weaknesses in
the Internal Control
Process
Market
Value
DARAEI AND RANGRIZ: THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN IT..
Indian J.Sci.Res.4 (4):36-53, 2014
Std
dev
0.0
44663
0.0
49566
0
134.4
50821
1.9
8E
+13
1.3
83246
0.1
88024
0.3
86953
0.2
18002
1.9
3E
+12
3.2
4E
+11
4.5
0E
+11
11255668373
1.6
2E
+12
0.0
1241
37395929809
0.0
06714
4.5
0E
+11
Ob
serv
ati
on
s w
ith
IT
IC
W (
IT I
CW
= 1
)
Med
ian
0.0
5
0.0
6
1
204.5
7.2
7E
+11
0.0
79942
0.2
11662
0
0
1.5
8E
+11
16866030000
35424000000
0
1.9
2E
+11
0
1813750868
0.0
03222
35424000000
Mea
n
0.0
48529
0.0
59118
1
245.3
52941
5.6
7E
+12
0.3
06491
0.2
50833
0.1
76471
0.0
78424
7.7
6E
+11
98286443167
1.4
8E
+11
1939794118
6.2
1E
+11
0.0
02135
14897141795
0.0
0544
1.4
8E
+11
N
2267
2267
2267
2267
2267
2267
2267
2267
2267
2267
2267
2267
2267
2267
2267
2267
2267
2267
Ob
serv
ati
on
s w
ith
no
n-I
T I
CW
(IT
IC
W =
0 )
Std
dev
0.0
90064
0.1
17984
0
119.0
97969
2.8
4E
+13
0.2
68065
0.1
49888
0.3
25813
0
1.0
1E
+13
2.7
2E
+12
3.1
6E
+12
3.2
9E
+11
9.4
8E
+12
0.0
11338
6505250
9899
0.0
03999
0
Med
ian
0.1
3
0.1
8
0
15
6.5
1.5
7E
+12
0.1
58749
0.2
3723
0
0
9.5
4E
+11
1.9
4E
+11
1.4
6E
+11
0
4.8
1E
+11
0
20
84108182
0.0
01339
0
Mea
n
0.1
66
53
8
0.1
98
07
7
0
17
2.3
84
61
5
1.4
2E
+1
3
0.0
99
68
9
0.2
27
57
3
0.1
15
38
5
0
6.1
1E
+1
2
1.5
2E
+1
2
1.8
4E
+1
2
64
61
53
84
61
5
5.3
6E
+1
2
0.0
02
22
4
28
23
86
92
29
7
0.0
03
13
6
0
N
17
33
17
33
17
33
17
33
17
33
17
33
17
33
17
33
17
33
17
33
17
33
17
33
17
33
17
33
17
33
17
33
17
33
17
33
π π
π΄ π‘
π π
π΄ π‘
β1
IT_
ICW
Ag
e
Sale
s
Gro
wth
Inve
nto
ry/A
sset
s
Au
dit
or_
Ch
an
ge
Pri
orL
oss
MV
E
Net
Div
iden
ds
Ea
rnin
gs
R&
D
Eq
uit
y
R&
D/A
sset
s
Ad
vert
isin
g
Ad
v/A
sset
s
IT_IC
W *
Earn
ing
s
IT_ICW*Earnings
1
Dat
a def
init
ions:
RO
A π‘
= N
et I
nco
me π‘
/Ass
ets π‘
; R
OA
π‘β
1 =
Net
In
com
e π‘β
1/A
sset
s π‘β
1; I
T_IC
W =
Info
rmat
ion T
echnolo
gy I
nte
rnal
Contr
ol
Wea
knes
ses;
Age
= T
he
nu
mber
of
month
s th
at c
om
pan
ies
list
ed o
n t
he
Sto
ck E
xch
ange;
Sal
es =
N
et s
ales
; Gro
wth
= N
et s
ales
π‘ -
Net
sal
esπ‘β
1/N
et s
ales
π‘β1
; In
ven
tory
/Ass
ets
= i
nven
tory
to a
sset
s ra
tio
; Chan
ge_
Audit
or
= C
han
gin
g a
ud
itors
in c
urr
ent
yea
r; P
riorL
oss
= %
of
yea
rs w
ith l
oss o
ver
las
t 3 y
rs;
MV
E = M
arket
val
uat
ion =
pri
ce β
shar
es;
Net
Div
iden
ds
= c
om
mo
n d
ivid
end
s;
Net
Ear
nin
g =
Net
inco
me
from
curr
ent
yea
r; R
&D
= R
esear
ch a
nd d
evel
opm
ent
expen
dit
ure
s; E
quit
y =
Equit
y f
rom
curr
ent
yea
r; R
&D
/Ass
ets
= R
esea
rch a
nd
dev
elopm
ent
expen
dit
ure
s to
ass
ets
rat
io;
Ad
v =
Ad
ver
tisi
ng
ex
pen
se;
Adv/A
sset
s =
Adver
tisi
ng e
xpen
se t
o a
sset
s ra
tio;
IT_IC
W *
Ear
nin
gs
= I
mpac
t of
Info
rmat
ion T
echn
olo
gy I
nte
rnal
Contr
ol
Wea
knes
ses
and n
et i
nco
me,
per
dep
enden
t var
iable
.
Adv/Assets
1
-0.0
22
Advertising
1
0.0
71
.450**
R&D/Assets
1
-0.0
54
0.0
64
-0.0
28
Equity
1
0.0
98
.621**
-0.1
32
0.0
93
R&D
1
0.2
11
.64
6**
-0.0
54
-0.0
95
-0.0
32
Earning
1
0.1
79
.981**
0.0
76
.557**
-0.1
33
0.0
66
NetDividends
1
.941**
0.2
05
.975**
0.0
94
.609**
-0.1
18
-0.0
42
MVE
1
.954**
.941**
.330**
.962**
0.1
68
.551**
-0.1
56
0.0
93
PriorLoss
1
-0.1
07
-0.1
-0.1
08
-0.0
36
-0.1
02
-0.0
49
-0.1
09
-0.2
07
-0.0
79
Auditor_Change
1
0.0
75
-0.1
43
-0.1
38
-0.1
47
-0.0
57
-0.1
44
-0.0
78
-0.1
42
-0.0
46
-0.0
81
Inventory/Assets
1
-0.0
73
-0.1
69
-0.1
76
-0.1
57
-0.1
7
-0.1
32
-0.1
64
-0.0
34
-0.2
15
0.2
17
-0.0
96
Growth
1
-0.1
45
-0.1
04
-0.0
29
-0.0
66
-0.0
41
-0.0
51
-0.0
43
-0.0
56
-0.0
41
-0.0
18
0.0
14
0.0
23
Sales
1
-0.0
41
-.287*
-0.1
54
-0.0
98
.693**
.526**
.622**
.493**
.610**
.274*
.539**
-0.1
61
.493**
**.C
orr
elat
ion
is
sig
nif
ican
t at
th
e 0
.01
lev
el (
2-t
aile
d)
*.C
orr
elat
ion
is
sig
nif
ican
t at
th
e 0
.05
lev
el (
2-t
aile
d)
AGE
1
-.2
96
*
0.1
97
0.1
64
-0.0
23
-0.1
61
-.3
78
**
-.3
33
**
-.3
52
**
-0.1
84
-.3
46
**
0.0
15
-0.1
21
0.2
42
-0.0
07
IT_ICW
1
.27
6*
-0.1
78
0.0
98
0.0
68
0.0
85
0.2
34
-.3
69
**
-.3
69
**
-.3
76
**
-0.1
44
-.3
53
**
-0.0
04
-0.1
3
0.1
99
0.2
14
ROAπ‘β1
1
-.6
31
**
-0.2
33
.52
5*
*
-0.0
91
-0.2
29
-0.0
49
-.3
90
**
.59
3*
*
.49
1*
*
.54
3*
*
.46
4*
*
.49
2*
*
.25
6*
0.1
04
-0.1
57
-0.1
34
ROAπ‘ 1
.75
8*
*
-.6
58
**
-.3
86
**
.25
6*
-0.0
57
-0.0
97
0.0
17
-.4
05
**
.42
6*
*
.39
5*
*
.41
3*
*
.26
2*
.37
6*
*
0.1
32
0.0
57
-0.1
67
-0.1
85
π π
π΄π‘
π π
π΄π‘β
1
IT_
ICW
Ag
e
Sale
s
Gro
wth
Inve
nto
ry/A
sset
s
Au
dit
or_
Ch
an
ge
Pri
orL
oss
MV
E
Net
Div
iden
ds
Ea
rnin
gs
R&
D
Eq
uit
y
R&
D/A
sset
s
Ad
vert
isin
g
Ad
v/A
sset
s
IT_IC
W *
Earn
ing
Panel
Bβ
Poole
d s
am
ple
co
rrel
ati
on
ta
ble
Ta
ble
1. p
rese
nts
des
cri
pti
ve s
tati
stic
s of
orig
ina
l d
ata
sa
mp
les
an
d t
hei
r c
orr
ela
tio
n t
ab
le
Panel
Aβ
Des
crip
tive
sta
tist
ics
DARAEI AND RANGRIZ: THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN IT..
Indian J.Sci.Res.4 (4):36-53, 2014
Experimental Tests In Hypothesis 1, we claimed that the
weakness in internal control processes of IT has a
negative impact on the earnings of a company. To
investigate this hypothesis a measure of the extent of
the earnings and return on assets (ROA) and we rely
on using two alternative explanatory models that
iswidelyused in the resources and are in the
randomwalk model (Random walk) and the production
function (Production function). The first feature that
we use is consistent with computational studies related
to the time series properties of annual income which
implies income based on random walk (Albrecht et al,
1977; Watts &Leftwich, 197).
πΉπΆπ¨π,π= π0 + π1π ππ΄π,π‘β1 + π2πΌπ_πΌπΆππ,π‘ + π3π΄πππ,π‘ + π4πππππ π,π‘ Equation 1
+π5Growthπ,π‘+π6πΌππ£πππ‘πππ¦/π΄π π ππ‘π π,π‘+ π7πΏππππ π΄π’πππ‘πππ,π‘
+ π8π΄π’πππ‘ππ_πΆβπππππ,π‘+ π9πππππ πΏππ π π,π‘ +ππ,π‘
The second measure used in studies by Lev and
Sougiannis (1996Lev and Sougiannis) and
Rajgopal et al (Rajgopal et al, 2003), have
been modeling as a function of revenue
collection and measurement of tangible and
intangible assets/risk.
πΉπΆπ¨π,π‘ =π0 + π1π΄ππ£πππ‘ππ πππ/π΄π π ππ‘π π,π‘ + π2π &π·/π΄π π ππ‘π π,π‘ + π3πΌπ_πΌπΆππ,π‘Equation 2 Equation 2
+ π4π΄πππ,π‘+ π5πππππ π,π‘ + π6πΊπππ€π‘βπ,π‘+ π7πΌππ£πππ‘πππ¦/π΄π π ππ‘π π,π‘
+ π8πΏππππ π΄π’πππ‘πππ,π‘+ π9π΄π’πππ‘ππ_πΆβπππππ,π‘ + π10πππππ πΏππ π π,π‘ + ππ,π‘
Many researchers including AshbaughSkaife
et al , 2007; Doyle et al , 2007a; Ge&McVay 2005
found that companies that are novice, smaller, fast
growing, with a more complexity of performance and
the changing structure and have been auditedby large
firms or their auditor has changed have more of these
weaknesses. So, we've been monitoring the following
corporate characteristics:
Age of company, sales rate as a measure of firm size
and growth rate in sales
In this study, variables associated with the
presence of a large audit firm (Large_Auditor),
indicating a change in the auditor (Auditor_Change),
variable loss of financial (Prior_loss) the percentage
of reported financial losses in the last three years have
been marked. In this model, if there is a correlation
between the independent variables, these factors can
cause a deviation of the regression coefficients (linear
optimization).
To test hypotheses 2 and 3, the direct and
indirect impact on the value of IT weaknesses in
internal control processes and corporate credit in the
capital markets is a version of Ohlson's theory (1995
Ohlson) the remaining credit worthiness or RIV
model was used where the value of the firm are now
modeling in the capital market functions of the offices
of the company's financial assets (book value of
assets), current abnormal earnings and revenue
forecasts and other information that led to the creation
and modification of future profitability.
This model is widely used and accepted in
the resources related to capital markets, particularly in
areas such as cross validation to test the validity of
various non-financial components of the brand (Barth
et al, 1998) and disclosure of financial information
(Shevlin, 1996), wireless networks (Amir & Lev,
1996) and the benefits of a credit network sites created
by e-commerce companies (Rajgopal et al, 2003) there
are many implementation of RIV model. Our research
methods course offered by Rajgopaland others to
examine the factors modulating the response to income
or other relationship between income and market
valuehas been used. According to these measures, the
company's reputation can be considered as a linear
function of the value of the assets registered in
financial books and current profits and used the
following credit models:
π΄π½π¬π,π = π0+ π1πΈππ’ππ‘π¦π,π‘ + π2πΈπππππππ π,π‘
+π3πππ‘π·ππ£ππππππ π,π‘+π4π΄ππ£πππ‘ππ ππππ,π‘
+ π5π &π·π,π‘ + π6πΌπ πΌπΆππ,π‘ + π7π΄πππ,π‘
+ π8πππππ π,π‘ + π9πΊπππ€π‘βπ,π‘
+π10πΌππ£πππ‘πππ¦/π΄π π ππ‘π π,π‘
+π11πΏππππ π΄π’πππ‘πππ,π‘
+ π12π΄π’πππ‘ππ_πΆβπππππ,π‘
+ π13πππππ πΏππ π π,π‘ + ππ,π‘ Equation 3
MVEi: value of the company's market capitalization at
the end of the fiscal year for firm i in year Equityi t:
Total equity at the end of financial year Eariningsi: net
income and NetDividensi, t: Net dividends paid
ordinary shares at the end of the fiscal year. Our
advertising and research and development expenses in
fiscal balances that have not come we
investigateintangible costs.
DARAEI AND RANGRIZ: THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN IT..
Indian J.Sci.Res.4 (4):36-53, 2014
Hypothesis 3 stated that there are weaknesses
in the internal control processes of IT which has a
negative impact on the relationship between corporate
profits and the value of the capital market. To test this
hypothesis we involve confrontation between revenues
and IT ICW in our model. This expression allows us to
reflect these shortcomings of the relationship between
income and the value of our company. Our hypothesis
is that factors affecting this relationship is negative,
indicating a role in determining the market value of the
discounted earnings weakness in internal control over
IT processes.
π΄π½π¬π,π = π0+ π1πΈππ’ππ‘π¦π,π‘ + π2πΈπππππππ π,π‘ + π3πππ‘π·ππ£ππππππ π,π‘ + π4π΄ππ£πππ‘ππ ππππ,π‘ Equation 4
+ π5π &π·π,π‘ +π6(πΌπ πΌπΆππ,π‘ Γ πΈπππππππ π,π‘) +π7π΄πππ,π‘ + π9πππππ π,π‘
+ π8πΊπππ€π‘βπ,π‘ + π9πΌππ£πππ‘πππ¦/π΄π π ππ‘π π,π‘ + π10πΏππππ π΄π’πππ‘πππ,π‘
+ π11π΄π’πππ‘ππ_πΆβπππππ,π‘ + π12πππππ πΏππ π π,π‘ + ππ,π‘
Conclusions Analytical results for the relationship
between IT ICW and asset returns are indicated in
Table 2. This table represents the regression results for
the random walk models and production function. IT
ICW ratio in this case is negative and is significant of
both models. Therefore, H1 is a well proven.
Table 2. Regression results for the ROA models.
Random walk Productionfunction
Standardized
Coefficients
sig Tolerance Standardized
Coefficients
sig Tolerance
ROA π‘β1 .605 .000 .854
IT_ICW -.199 .045 .927 -.488 .000 .897
Age -.292 .071 .772 -.293 .106 .758
Sales -.180 .064 .897 .005 .965 .720
Growth .073 .347 .903 .048 .606 .906
Inventory/Assets .035 .672 .792 -.042 .667 .815
Auditor_Change .053 .489 .928 .088 .339 .932
PriorLoss -.183 .040 .718 -.358 .001 .798
Adv/Assets -.068 .480 .839
R&D/Assets .127 .176 .903
N 0444 0444
Adjusted π 2 .724 .612
Table notes: (all tests are two tailed).
Standardized regression coefficients are shown in
these cases. We will use the regression standard errors
clustered. Residual values for all models are consistent
with the assumptions of the statistical distribution.
Multi-co-linearity between the independent variables
as shown by the tolerance amounts is consistently low.
The re-evaluation of equations, regression after
removing the unrelated segments gives the same
results. According to the significant amounts in the
table above, the modified model of random walk and
the modified model of production functionin relations
5 and 6 are displayed:
πΉπΆπ¨π,π = π0 + π1π ππ΄π,π‘β1 + π2πΌπ_πΌπΆππ,π‘ + π3ππππππΏππ π π,π‘+ ππ,π‘ Equation 5
πΉπΆπ¨π,π‘ = π0 +π1IT_ICWπ,π‘+π2Prior Lossπ,π‘ + ππ,π‘ Equation 6
Data Definition: ROAt 1: last year return on assets =
net profit in the previous year divided by prior year
assets, IT ICW: indicates weaknesses in internal
control usingof IT and when such weaknesses in
corporate reported equals to 1 and otherwise is 0, R &
D/Assets: assets/expenditure on R & D,
Advertising/Assets: assets/costs, advertising, Age:
number of months in the Stock Market listed
companies Sales: Net sales , Growth: subtracting net
sales from the prior year's net sales divided by net sales
prior, Inventory/Assets: Ratio inventory of assets,
(Large Auditor): In case of large audit firms (trustee
stock), this amount is equal to 1, otherwise 0, Auditor
Change: If the auditing company in the years to change
DARAEI AND RANGRIZ: THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN IT..
Indian J.Sci.Res.4 (4):36-53, 2014
this value is 1, otherwise is 0, prior Loss: percentage of
years of financial losses in the past three
years. According to the regression results, we found
that the coefficient of IT ICW in both models have
statistical meaning.We also found out that financial
losses variable (prior Loss) has a negative effect which
was statistically significant in both models. In table 3
results of regression estimates obtained from equations
3 and 4 is observed which are used to examine the
relationship between market value and IT_ICW.
Table 3. Regression results for the Ohlson/RIV valuation models.
Base model Interaction model
Standardized
Coefficients
sig Tolerance Standardized
Coefficients
sig Tolerance
Equity .523 .017 .665 .101 .706 .846
Earnings .326 .035 .601 -.117 .487 .715
NetDividends .697 .000 .829 .957 .000 .818
Advertising -.204 .000 .754 .228 .000 .975
R&D -.046 .168 .525 -.014 .675 .663
IT_ICW -.020 .443 .719
AGE -.007 .791 .735 -.002 .926 .731
Sales .340 .000 .641 .275 .000 .772
Growth -.012 .608 .900 -.018 .418 .889
Inventory/Assets .012 .622 .801 .010 .651 .801
Auditor_Change .003 .891 .927 .006 .793 .925
PriorLoss -.005 .845 .833 .004 .867 .814
IT_ICW Earnings -.106 .407 .892
N 0444 0444
Adjusted π 2 .978 .981
Table notes: (all tests are two tailed).
Here like previous table standardized
regression coefficients. Residual values for all models
are consistent with the assumptions of the statistical
distribution. Coefficients of the independent variables
multi-co-linearity is consistently low. Due to the high
value of the variable sig IT_ICW (fifth column from
the right) we conclude that these variables have not a
significant relationship with the market value of the
company. Thus, the second hypothesis is rejected.
Similarly with examining the value of the sig variable
IT_ICW earnings (second column from the right) there
is a negative relationship between this variable and the
market value of the company-reduce the impact on the
market value of the benefit in the shadow of internal
control weaknesses of IT. This relationship has proved
our third hypothesis and this hypothesis is strongly
confirmed. In order to work with a heterogeneous
distribution and effects of scale, statistics t (t statistics)
are all based on the heterogeneous distribution of
standard errors by White (white 1980). We have tests
based on standard errors clustered. Of course, the
standard error of the test results on the primary
variables is small and therefore we present our results
using White standard errors. Our inference when
method is based on the separate sections of Cook
(Cook) is apart and re-do the regression analyzes,
remain unchanged. We also repeated our analysis
using alternative version that uses revenues from other
billing information (such as research and development
expenses and advertising costs), and have received
similar results. According to the significant amounts in
the above table, both RIV models in the form of
improved relations between 7 and 8 are displayed:
π΄π½π¬π,π = π0πΈππ’ππ‘π¦π,π‘ + π1πΈπππππππ π,π‘ + π2πππ‘π·ππ£ππππππ π,π‘ + π3π΄ππ£πππ‘ππ ππππ,π‘ +π4πππππ π,π‘ + ππ,π‘ Equation 7
π΄π½π¬π,π = π0πππ‘π·ππ£ππππππ π,π‘ + π1π΄ππ£πππ‘ππ ππππ,π‘ + π2 (πΌπ_πΌπΆπ Γ πΈπππππππ π,π‘) + π3πππππ π,π‘ + ππ,π‘ Equation 8
DARAEI AND RANGRIZ: THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN IT..
Indian J.Sci.Res.4 (4):36-53, 2014
Data Definition: Equity: Equity, Earnings: Net
Income, NetDividends: Net profit sharing,
Advertising: Advertising costs, R & D: Research and
development costs, IT_ICW: internal control weakness
is the use of IT When such weaknesses are reported in
the company equal to 1 and otherwise is 0, AGE: The
number of months the company has been included in
the list of securities markets Sales: Net sales, Growth:
subtracting net sales from the prior year's net sales
divided by net sales exp, Inventory / Assets: Ratio
inventory assets, Change_Auditor: If the auditing
company in the years to change this value to 1 and
otherwise is equal to 0, PriorLoss: percentage years of
financial losses in the last three years. IT_ICW
Earning: IT weaknesses in the internal control and
profit impact on the dependent variable. As the above
table IT_ICW variable is not significant at the 95%
level, (sig> 5%) with the use of IT internal controls
therefore has no direct relationship with the market
value (sixth column from right), Thus, the second
hypothesis is not confirmed. Also observed that the
coefficient of the variable IT_ICW Earning negative
(fourth column from left ) and this variable is
significant at the 95% level (sig <5%). Thus, the third
hypothesis is confirmed, this means the relationship
between revenues declined as a determinant of firm
value in the capital market weakness of IT. As a third
hypothesis mentioned the evidence suggests that
IT_ICW is a negative and significant factor between
income and the market value.
Additional Tests
The difference with theprevious studies is
that first modified formula used in the previous
paragraphs, second instead of using a general variable
of IT_ICW, IT eight variables weaknesses used to
show separate effects of IT weaknesses in the cases
studied. This study is also included only propositions
that are proved in the previous paragraphs.
Thus the modified model of random walk
(Equation 5) and the modified version of the
production function (Equation 6),by poor placement of
the variableinstead of the eight IT IT_ICW,
respectively are as follows:
πΉπΆπ¨π,π =π0+π1π ππ΄π,π‘β1 + π2π΄ππ&ππ‘π_πΌπΆππ,π‘ + π3πππ‘&πΌππ‘πππππ‘_πΌπΆππ,π‘
+π4π΅πππππ_πΌπΆππ,π‘ + π5 π΄ππππ π _πΌπΆππ,π‘ + π6 ππ_πΌπΆππ,π‘ + π7ππππ‘_πΌπΆππ,π‘ + π8π·ππ_πΌπΆππ,π‘ + π9 π»πππ_πΌπΆππ,π‘ + π10 ππππππΏππ π π,π‘ + ππ,π‘ Equation 9
πΉπΆπ¨π,π‘ = π0 + π1 π΄ππ&ππ‘π_πΌπΆππ,π‘ + π2 πππ‘&πΌππ‘πππππ‘_πΌπΆππ,π‘
+π3 π΅πππππ_πΌπΆππ,π‘ + π4 π΄ππππ π _πΌπΆππ,π‘ + π5 ππ_πΌπΆππ,π‘ + π6ππππ‘_πΌπΆππ,π‘ + π7 π·ππ_πΌπΆππ,π‘ + π8 π»πππ_πΌπΆππ,π‘ + π9 ππππππΏππ π π,π‘ + ππ,π‘ Equation 10
Table 4. Regression results for the ROA model with octet variables of IT_ICW
Random walk Productionfunction
Standardized Coefficients
sig Tolerance Standardized Coefficients
sig Tolerance
ROA π‘β1 .713 .000 .699
Acc&etc_ICW .138 .299 .751 .086 .592 .720
Net&Internet_ICW -.049 .004 .868 -.122 .012 .785
BackUp_ICW -.007 .955 .632 -.057 .701 .892
Access_ICW -.083 .501 .841 .002 .988 .701
OS_ICW -.014 .914 .491 -.058 .712 .891
Soft_ICW -.057 .700 .77 .000 .999 .528
Doc_ICW -.547 .043 .693 -.477 .013 .822
Hard_ICW -.781 .012 .883 -.066 .021 .751
PriorLoss -.086 .049 .703 -.276 .046 .909
N 0444 0444
Adjusted π 2 .608 .642
Table notes: (all tests are two tailed).
DARAEI AND RANGRIZ: THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN IT..
Indian J.Sci.Res.4 (4):36-53, 2014
In this analysis standardized regression
coefficients were used. As can be seen, there are three
categories of weaknesses, including weaknesses in
existing IT and network, weaknesses and deficiencies
in the documentation and security-related hardware, in
both models random walk and production function
models were significant and show adversely in the
dependent variable. The two models imply higher
tolerance achieved strong results. Acc&etc_ICW =
accounting &etc_ICW: Weaknesses in accounting
software and other related software, Net
&Internet_ICW: lack of networking and the Internet,
BackUp_ICW: weakness relating to the operation of
the backup files needed, Access_ICW: weaknesses
related to access , OS_ICW: weakness of the whole
system , Soft_ICW: the weak security-related software
, Doc_ICW: lack of documentation related to computer
systems, Hard_ICW: the weak security-related
hardware , PriorLoss: Percentage years of financial
losses in the past three years.
These eight variables were discriminant IT
weaknesses in the internal control process which will
be discussed in detail in Appendix A of this article.
Because of the lack IT_ICW variable in
relation to the revised second hypothesis (Equation 7),
this equation was eliminated from an additional test so
we refer to see equation 8 that its modified equation
with respect to the variable instead of letting IT
IT_ICW eight variables is as follows:
ππππ’,π = b1 NetDividendsi,t + b2 Advertisingi,t + b3 (Acc&etc_ICWi,t Γ Earningsi,t)
+ b4 (Net&Internet_ICWi,t Γ Earningsi,t) + b5 (BackUp_ICWi,t Γ Earningsi,t)
+ b6 (Access_ICWi,t Γ Earningsi,t) + b7 (OS_ICWi,t Γ Earningsi,t)
+ b8 (Soft_ICWi,t Γ Earningsi,t) + b9 (Doc_ICWi,t Γ Earningsi,t)
+ b10 (Hard_ICWi,t Γ Earningsi,t) + b11 Salesi,t + Ξ΅i,t Equation 11
Table 5. Regression results for the Ohlson/RIV valuation Interaction model with octet variables of IT_ICW
Interaction model
Standardized Coefficients
sig Tolerance
NetDividends .831 .000 .611
Advertising .105 .010 .830
Acc&ππ‘π_πΌπΆπ Γ πΈπππππππ -.014 .032 .988
Net&πΌππ‘πππππ‘_πΌπΆπΓ πΈπππππππ
-.198 .007 .752
BackUp_ICW Γ Earnings -.083 .081 .819
Access_ICW Γ Earnings -.038 .126 .424
OS_ICW Γ Earnings -.279 .000 .836
Soft_ICW Γ Earnings -.382 .000 .957
Doc_ICW Γ Earnings -.199 .014 .791
Hard_ICW Γ Earnings -.286 .045 .901
Sales .191 .000 .765
N 0444
Adjusted π 2 .994
Table notes: (all tests are two tailed).
In this analysis standardized regression
coefficients were used. As can be seen six categories
from the weakness of IT with business units to reduce
their impact on the market value of the company's
profits will have the statistic meaning (third column
right) including: Weak impact on bookkeeping and
income variables (Acc&etc_ICWEarnings), the effect
of weakening the network-the internet and the
dependent variable of interest (Net
&Internet_ICWEarnings), the effect of weakening the
whole system and profit on the dependent variable
(OS_ICWEarnings), The impact of software security
weaknesses and interest on the dependent variable
(Soft_ICW Earnings), documenting the impact of the
weaknesses of computer systems and the dependent
variable of interest (Doc_ICWEarnings), hardware
DARAEI AND RANGRIZ: THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN IT..
Indian J.Sci.Res.4 (4):36-53, 2014
security weaknesses and profit impact on the
dependent variable (Hard_ICW Earnings). Except in
the combination of variable,accessweaknesses and
profitthat have much lower tolerances than other
variables, other tolerance values with high accuracy
digit confirmed regression results. Data definition:
NetDividends: Net dividend , Adv: advertising costs ,
Acc&etc_ICWEarnings: lack of effect on the
dependent variable bookkeeping and Income , Net
&Internet_ICWEarnings: the impact of weakness
Network - the Internet and the dependent variable of
interest, BackUp_ICWEarnings: the impact of backup
operations and earnings weakness on the dependent
variable, Access_ICWEarnings: weak effects on
access and benefit -related variables,
OS_ICWEarnings: the impact of weakness in the
whole operating system and profit on the dependent
variable, Soft_ICW Earnings: the impact of software
security weaknesses and interest on the dependent
variable, Doc_ICWEarnings: the impact of poor
documentation of computer systems and the dependent
variable of interest, Hard_ICWEarnings: hardware
security weaknesses and profit impact on the
dependent variable.
General Conclusion of The Study
One factor of accounting profit decline is the
existence of weakness in internal control and in their
process; one of the types of internal controls to protect
property, assets and revenues of the entity, is internal
control of IT (Stoel and Muhanna 2011). The first
hypothesis of this study is to reduce accounting
earnings during IT weaknesses during the above
description is not far from the expected. But there is a
question that as an investor willyouchoose a company
to buy shares or invest in it without noticing company
initially reported IT weaknesses? Absolutely not! an
investor is usually looking for finding a company with
an accounting profit and if the intention is to have
control over the entity, the accounting profit is not as
important to him as a result high demand for the
company's shares accounting profits (rather weak
lower IT) will be increased and therefore increases the
company's stock price or market value, so the market
value of a company has no relationship directly with
IT weaknesses in this study 's review of the second
hypothesis, the hypothesis was rejected and the lack of
correlation was proven. With respect to the above
comes to the conclusion that IT Weaknesses despite
having no relation with the market value of the
business unit inversely and significantly reduce the
accounting profit. So we can conclude the weakness
reduces accounting profits and therefore reduces
accounting profits also reduces the demand for the
shares of the company and its business units to reduce
the market value. In conclusion we can say that IT
internal control weaknesses despite not having a
significant positive correlation with the market value
of a company's accounting profit due to the depletion
effect, reduces the stock price of a business unit.
Obviously there is a weakness or lack of weakness in
the internal control process of IT can create
competitive advantages for companies and business
units. According to the material presented to prove the
third hypothesis, there is an inverse relationship
between IT and the weakness of the link between
earnings and the market value of the business unit and
indicates that accounting earnings in the shadow of
internal control weaknesses IT, reduce the company's
market value or at least it will be adjusted.
Appendix A:
Anatomy of the eight variables of IT internal
control weaknesses
Due to the use of IT weaknesses during the
eight variables in this paper, in order to further
understand the results we describe them briefly.
Acc&etc_ICW
This variable indicates the weaknesses
associated with the use of accounting software, office
automation system in use and also how to prepare and
operation of these two cases. The addition of database
development and changes in the enterprises has also
been studied.
Net &Internet_ICW
This variable indicates the weaknesses
associated with the corporate wide area network
(WAN), Internet connections, business unit, business
unit staff how to use the internet and network access
restrictions affect the organizational variables.
BackUp_ICW
This variable indicates the weaknesses
associated with the backup operation of the accounting
records and other necessary information. Issues such
as the time- frequency backup, file storage, file
download time in case of crisis as well as those
authorized to access the files in this section has been
monitored.
Access_ICW
This variable indicates the weaknesses
associated with how to access the various business
DARAEI AND RANGRIZ: THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN IT..
Indian J.Sci.Res.4 (4):36-53, 2014
units of the company including accounting information
and to discuss some issues related to the separation of
incompatible duties.
OS_ICW
This variable represents the weaknesses
associated with the totality of the operation system.
Factors such as the type of used operating system,
operating system version, use or non-use firewall and
anti-virus software installed on the operating system
and general health factors that provide the operating
system on this variable.
Soft_ICW
This variable indicates weakness associated
with security software. Factors such as the control unit
for the prevention and detection of errors in processing,
encryption to prevent incompatible operations by the
same people who have access to information and
assets, and the type and quality of the generated code
(eg, fingerprint, face recognition, passwords, etc) on
the software applications and matches are factors that
control this variable.
Doc_ICW
This variable indicates weaknesses in
computer systems associated with the documentation.
For example, doing documentation of computer
systems, presence or absence of functional systems of
records for each system user's guide or operating
manual for the software used create or not create the
file for software programs that are created within the
company, and ultimately the use of special software for
documentation things that are on the value of this
variable.
Hard_ICW
This variable indicates the weakness of
security related with hardware.Used engines and
electricity generator related factors such as the period
of exposure to the electric motor business unit after the
power failure and the generator circuit to charge the
empty time of motor βgenerators, using the trans
modulator input current business units, construction of
a computer center in a safe place until it is securely
incurred in place possibility of damage from natural
disasters and finally there is a fire extinguishing tools
in the center are of the effective variables.
All of the above weaknesses if any have the number 1
and otherwise set to 0. Additional note on the last test
multiplies any of the top eight variables in a variable
net profit (Earnings). In this case, there is a definition
for this new variable combination of the following: the
weak and the net effect on the dependent variable.
Appendix B: The variables of the original model
Operational definition Variable
If the company reports weaknesses, it is equal to 1 and otherwise 0 IT Internal Control Material
Weakness (IT_ICW)
IT weaknesses and profit impact on the dependent variable Earnings IT_ICW
Market price per share of stock Market Valuation (MVE)
Total equity at the end of fiscal year Book value of equity (Equity)
Profit or net loss on fiscal year Earnings
Net dividends paid ordinary shares at the end of the fiscal year Net Dividends
Advertising expenses during a fiscal year Advertising expense
(Advertising)
Costs associated with Research and Development Research and development
expense (R&D)
Net income divided by assets Return on Assets (ROA)
Number of months since entering the stock so far Age
Net sales Sales (as a measure of size)
DARAEI AND RANGRIZ: THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN IT..
Indian J.Sci.Res.4 (4):36-53, 2014
Net sales minus net sales divided by net sales in the year prior to the
year before Growth
Total assets /aggregate inventory Complexity based on inventory to
assets ratio
If you use a corporate audit (trustee Exchange) 1 otherwise 0 Large_Auditor
Percentage of losses during the past three years Prior_Loss
If the auditors changed from last year it is 1, otherwise 0 Auditor Change
References
Acquisti A, Friedman A, Telang R. Is there a cost
to privacy breaches? An event study. Proceedings
of the twenty seventh international
conference on information systems, Milwaukee,
WI; 2006. p. 1563β80.
Albrecht W, Lookabill L, McKeown J. The time
series properties of annual earnings. J Account
Res 1977;15(2):226β44.
Amir E, Lev B. Value relevance of non financial
information: the wireless communications
industry. J Account Econ 1996;22(1):3β30.
Amit R, Schoemaker P. Strategic assets and
organizational rent. Strategic Management
Journal 1993;14(1):33β46.
Anderson M, Banker R, Ravindran S. Value
implications of investments in information
technology. Manage Sci 2006;52(2):1359β76.
Aral S, Weill P. IT assets, organizational
capabilities, and firm performance. Organ Sci
2007;18(5):763β80.
Arend RJ. Revisiting the logical and research
considerations of competitive advantage.Strateg
Manage J 2003;24(3):279β84.
Arend RJ. The definition of strategic liabilities,
and their impact on performance. J Manage Stud
2004;41(6):1003β27.
AshbaughSkaife H, Collins D, Kinney W,
LaFond R. The effect of SOX internal control
deficiencies and their remediation on accrual
quality. Account Rev 2008;83(1):217β50.
AshbaughSkaife H, Collins D, Kinney W,
LaFond R. The effect of SOX internal control
deficiencies on firm risk and cost of equity. J
Account Res 2009;47(1):1β43.
AshbaughSkaife H, Collins D, KinneyW. The
Discovery and reporting of internal control
material weaknesses prior to SOX mandated
audits. J Account Econ 2007;44(1/2):166β92.
Backhouse J, Hsu CW, Silva L. Circuits of power
in creating de jure standards: shaping an
international information systems security
standard. MIS Quarterly 2006;30(SI):413β38.
Barney JB. Firm resources and sustained
competitive advantage. J Manage 1991;17(1):99β
120.
Barth M, Clement M, Foster G, Kasznik R. Brand
values and capital market valuation. Rev Account
Stud 1998;3(1):41β68.
Baskerville R. Information systems security
design methods: implications for information
systems development. ACM ComputSurv
1993;25(4):375β414.
Baskerville R. Risk analysis: an interpretive
feasibility tool in justifying information systems
security. Eur J InfSyst 1991;1(2):121β30.
Beneish M, Billings M, Hodder L. Internal control
weaknesses and information uncertainty. Account
Rev 2008;83(3):665β703.
Bharadwaj A. A resource based perspective on
information technology capability and firm
performance: an empirical investigation.
MIS Quarterly 2000;24(1):169β96.
Bharadwaj A, Bharadwaj S, Konsynski B.
Information technology effects on firm
performance as measured by Tobin's q. Manage
Sci 1999;45(6):1008β24.
DARAEI AND RANGRIZ: THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN IT..
Indian J.Sci.Res.4 (4):36-53, 2014
Brynjolfsson E, Hitt LM, Yang S. Intangible
assets: computers and organizational capital.
Brookings Papers Econ Act 2002;1:137β81.
Campbell K, Gordon L, Loeb M, Zhou L. The
economic cost of publicly announced information
security breaches: empirical evidence
from the stock market. J ComputSecur
2003;11(3):431β48.
Canada J, Sutton G, Kuhn J. The pervasive nature
of IT controls: an examination of material
weaknesses in IT controls and audit fees. Int
J Account InfManag 2009;17(1):106β19.
Carr N. IT doesn't matter. Harv Bus Rev
2003;81(5):41β9.
Cavusoglu H, Mishra B, Raghunathan S. The
effects of internet security breach announcements
on market value: capital market
reactions for breached firms and internet security
developers. Int J Electron Commerce
2004;9(1):69β104.
Clemons EK. Evaluation of strategic investments
in information technology. Communications of
the ACM 1991;34(1):22β36.
Dhillon G. Managing information systems
security. London, UK: Macmillan; 1997.
Doss M, Jonas G. Section 404 reports on internal
control: impact on ratings will depend on nature
of material weaknesses reported.
Moody's Investors Service, Global Credit
Research. October 2004. (available at:
http://www.complianceweek.com/s/documents/
Moodys%20Section%20404.pdf).
Doyle J, Ge W, McVay S. Accruals quality and
internal control over financial reporting. Account
Rev 2007b;82(5):1141β70.
Doyle J, GeW,McVay S.
Determinantsofweaknesses in internal control
over financial reporting. J Account Econ
2007a;44(1/2):193β223.
Easley D, O'Hara M. Information and the cost of
capital. J Finance 2004;59:1553β83.
Fama E. Efficient capital markets: a review of
theory and empirical work. J Finance
1970;25(2):383β417.
Francis J, LaFond R, Olsson P, Schipper K. Costs
of equity and earnings attributes. Account Rev
2004;79(4):967β1010.
Francis J, LaFond R, Olsson P, Schipper K. The
market pricing of accruals quality. J Account
Econ 2005;39:295β327.
Ge W, McVay S. The disclosure of material
weaknesses after the SarbanesβOxley Act.
Account Horiz 2005;19(3):137β58.
Gordon L, Loeb M. The economics of
information security investment. ACM Trans
InfSystSecur 2002;5(4):438β57.
Hammersley J, Myers L, Shakespeare C. Market
reactions to the disclosure of internal control
weaknesses and to the characteristics of
those weaknesses under Section 302 of the
SarbanesβOxley Act of 2002. Rev Account Stud
2008;13:141β65.
http://www.rdis.ir/CMPAnnouncements.asp
ISO/IEC (International Organization for
Standardization/International Electrotechnical
Commission).. ISO/IEC 27002 standard:
information
technologyβsecurity techniquesβcode of
practice for information security management.
Geneva, Switzerland; 2005.
ITGI (IT Governance Institute). COBIT, 4th
Edition. December 2005. http://www.isaca.org.
Jeffers PI, Muhanna WA, Nault BR. Information
technology and process performance: an
empirical investigation of the interaction
between IT and non IT resources. DecisSci
2008;39(4):403β34.
Kothari SP. Capital markets research in
accounting. J Account Econ 2001;31(1β3):105β
232.
Krishnan R, Peters J, Padman R, Kaplan D.On
data reliability assessment in accounting
information systems.InfSyst Res
2005;16(3):307β26.
Lev B, Sougiannis T. The capitalization,
amortization and value relevance of R&D. J
Account Econ 1996;21(1):107β38.
DARAEI AND RANGRIZ: THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN IT..
Indian J.Sci.Res.4 (4):36-53, 2014
Li C, Lim J, Wang Q. Internal and external
influence on IT control governance. Int J Account
InfSyst 2007;8:225β39.
Masli A, Richardson V,WatsonM, Zmud R.
SarbanesβOxley information technology material
weaknesses, the disciplining of firms' executive
leadership, and CEO/CFO engagement in IT
management. New York, NY: American
Accounting Association National Meeting; 2009.
Mata F, Fuerst W, Barney JB. Information
technology and sustained competitive advantage:
a resource based analysis. MIS Quarterly
1995;19(4):487β505.
Melville N, Kraemer K, Gurbaxani V.
Information technology and organizational
performance: an integrative model of IT business
value. MIS Quarterly 2004;28(2):283β322.
NIST (The National Institute of Standards and
Technology). Federal information processing
standards publication 2006: minimum Security
requirements for federal information and
information systems. Gaithersburg, MD:
Computer Security Division, The national
institute of standards and technology. 2006.
(available at
http://csrc.nist.gov/publications/fips/fips200/FIP
S-200-finalmarch.pdf).
Ohlson J. Earnings, book values, and dividends in
equity valuation.Contemp Account Res
1995;11(2):661β87.
PCAOB (Public Company Accounting Oversight
Board). Auditing standard No. 2βan audit of
internal control over financial reporting
performed in conjunction with an audit of
financial statements. Washington, D.C: PCAOB;
2004.
Powell TC, Arregle JL. Firm performance and the
axis of errors. J Manag Res 2007;7(2):59β77.
Powell TC. Competitive advantage: logical and
philosophical considerations. StrategManag J
2001;22(9):875β88.
Power M. The risk management of nothing.
Account Organizations & Society
2009;34(6/7):849β55.
Rajgopal S, Venkatachalam M, Kotha S. The
value relevance of network advantages: the case
of e commerce firms. J Account Res
2003;41(1):135β62.
Ravichandran T, Lertwongsatien C. Effect of
information systems resources and capabilities on
firm performance: a resource based
perspective. J Manage InfSyst 2005;21(4):237β
76.
Ray G, Muhanna WA, Barney JB. Information
technology and the performance of the customer
service process: a resource based
analysis. MIS Quarterly 2005;29(4):625β51.
Sambamurthy V, Bharadwaj A, Grover V.
Shaping agility through digital options:
reconceptualizing the role of information
technology in contemporary firms. MIS Quarterly
2003;27(2):237β63.
Shevlin T. The value relevance of nonfinancial
information: a discussion. J Account Econ
1996;22(1):31β42.
Siponen M, Iivari J. IS security design theory
framework and six approaches to the application
of IS security policies and guidelines.
J AssocInfSyst 2006;7(7):445β72.
Stoel MD, Muhanna WA. IT internal control
weaknesses and firm performance: An
organizational liability lens. International Journal
of Accounting
Information Systems2011(12):280β304.
Straub DW, Welke RJ. Coping with systems risk:
security planning models for management
decision making. MIS Quarterly 1998;22
(4):441β69.
Wade MW, Hulland J. The resource based view
and information systems research: review,
extension, and suggestions for future
research. MIS Quarterly 2004;28(1):107β42.
White H. Heteroskedasticity-consistent
covariance matrix estimator and a direct test for
heteroskedasticity.Econometrica 1980;48
(4):817β38.
Wang J, Chaudhury A, Rao HR. A value at risk
approach to information security
investment.InfSyst Res 2008;19(1):106β20.
DARAEI AND RANGRIZ: THE VISION OF CORPORATE RESPONSIBILITY: THE RELATIONSHIP BETWEEN IT..
Indian J.Sci.Res.4 (4):36-53, 2014
Wang L, Alam P. Information technology
capability: firm valuation, earnings uncertainty,
and forecast accuracy. J InfSyst 2007;21(2):
27β48.
Watts R, Leftwich R.The time series of annual
accounting earnings. J Account Res
1977;15(2):253β71.
Wernerfelt B. A resource based view of the firm.
StrategManag J 1984;5(2):171β80.
West GP, DeCastro J. The Achilles heel of firm
strategy: resource weaknesses and distinctive
inadequacies. J Manage Stud 2001;38(3):
417β42.