The Levels of Using Strategic Management Tools and Satisfaction with Them A Case of Five Star Hotels...

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Home > International Journal of Business and Management

International Journal of Business and Management

International Journal of Business and Management (IJBM) is an international, double-blind peer-

reviewed, open-access journal published by the Canadian Center of Science and Education. The

journal focuses on the following topics: corporate governance, human resource management,

strategic management, entrepreneurship, marketing, e-business, services, information technology

management, production & operations management, financial management and managerial

economics, etc.

It provides an academic platform for professionals and researchers to contribute innovative work in

the field. IJBM carries original and full-length articles that reflect the latest research and

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The journal is published in both print and online versions. The online version is free access and

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Dr Llandis Gareth Barratt Barratt-Pugh, Edith Cowan University, AustraliaDr Luke Downey, Swinburne University of Technology, AustraliaMahdi Salehi, Assistant Professor of Accounting, Ferdowsi University of Mashhad, Iran, Islamic Republic OfAss. Prof. Mara Del Baldo, University of Urbino "Carlo Bo", ItalyMaria do Céu Gaspar Alves, University of Beira Interior, PortugalDr. Mark Alan Heuer, Susquehanna University, United StatesMaría-Teresa Méndez, Universidad Complutense de Madrid, SpainMaryam Omari, Edith Cowan University, AustraliaDr. Maureen Muller-Kahle, The Pennsylvania State University York, United StatesMiguel-Ángel Galindo, University of Castilla-La Mancha, SpainDr Mohamed Osman Shereif Mahdi, King Fahd University of Petroleum and Minerals, Saudi ArabiaMuhammad Aslam Khan, Associate Professor, Faculty of Business Administration, Preston University Islamabad, PakistanMuhammad Madi Bin Abdullah, Associate Professor, Faculty of Management, Multimedia University (MMU) Malaysia, MalaysiaMurad Ali, Inha University, Korea, Republic OfNermeen Fathy Shehata, Cairo University, EgyptDr. Nermine Magdy Atteya, State University of New York at Oswego, United StatesNguyen Huu Le, Hanken School of Economics, FinlandNguyen Phuc Nguyen, Da Nang University of Economics, Viet NamHarun Kaya, Faculty of Business, Istanbul University, TurkeyPaul William Combs, Marymount University, United StatesPedro Ferreira, IPAM, PortugalPeggy A Cloninger, University of Houston-Victoria, United StatesPeter Kien-hong Yu, Swinburne University of Technology, AustraliaDr Phyra Sok, Charles Sturt University, AustraliaPing-Fu Lai, Peking University-Hong Kong University of Science and Technology, Hong KongPonsan Rojanapanich, Rajamangala University of Technology Rattanakosin, ThailandDr. Pragya Sharma, Shri Vaishnav Institute of Management, IndiaProf. Dr. Ricardo Rodrigues, NECE - University of Beira Interior, PortugalRobert Smith, The Robert Gordon University, United KingdomDr. Robert C. Paul, Kennesaw State University, United StatesDr. Roberto Bergami, Victoria University, AustraliaProfessor Roxanne HelmStevens, Azusa Pacific University, United StatesDr. Run Niu, Webster University, United StatesDr. Sathya Swaroop Debasish, Utkal University, IndiaSelcuk Burak Hasiloglu, Pamukkale University, TurkeySimona Mina, University Ovidius of Constanta, RomaniaSimone Selva, University of Bologna, ItalyDr Sorinel Capusneanu, Associate Professor, Faculty of Finance and Accounting, Artifex University, Bucharest, RomaniaStephen Duarte, Concordia University, United StatesDr. Sung-Hee "Sunny" Park, Dalton State College, United StatesDr Susanne Bahn, Centre for Innovative Practice, School of Management, Edith Cowan University, AustraliaUbaldo Comite, University of Calabria (Italy), University e-Campus (Italy), ItalyValdir de Jesus Lameira, Researcher at INESC Coimbra Portugal, PortugalVirginia Barba-Sánchez, Castilla-La Mancha University, SpainDr Viswanadhan K G, NSS College of Engineering, IndiaWi Saeng KIM, Hofstra University, United StatesYener Kandogan, University of Michigan-Flint, United States

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Alexander Brem, University of Erlangen-Nuremberg, GermanyCyril Foropon, University of Manitoba, CanadaFrancesco Scalera, University of Bari, ItalyProf.Dr. Ki-Hoon Lee, Griffith University, AustraliaMattia Iotti, University of Parma, Italy

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Home > Current > Vol 7, No 20 (2012)

Vol 7, No 20 (2012)

Table of Contents

ArticlesForeign Faces in Kuwaiti Places: The Challenges of Human

Capital Utilization in Kuwait

PDF

Ikhlas A. Abdalla, Moudi A. Al-Homoud p1

In Search of Influence - Leading Knowledge Workers with Care PDF

Ola Edvin Vie p13

Poverty, Household Characteristics and Child Health Care in

Nigeria

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Odubunmi Ayoola Sunkanmi p23

Green Accounting and Management for Sustainable

Manufacturing in Developing Countries

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Sherine Farouk, Jacob Cherian, Jolly Jacob p36

Examining the Relationships among Job Satisfaction,

Organizational Commitment, and Turnover Intention: An

Empirical Study

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Ilhami Yücel p44

Managing Quality Higher Education in Bangladesh: Lessons

from the Singaporean and Malaysian Strategies and Reforms

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Mohd. Mohsin, Md. Aktar Kamal p59

The Levels of Using Strategic Management Tools and

Satisfaction with Them: A Case of Five-Star Hotels in Turkey

PDF

Ali Erbasi, Safak Unuvar p71

Are Management Fashions Dangerous for Organizations? PDF

Gerald Lang, Marc Ohana p81

Using Six Sigma to Evaluate the Administrative Performance

of Vocational and Technical Training Institutions in Jordan

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Torki M. Al-Fawwaz, Ahmad Badah p90

Review of Credit Guarantee Corporation Malaysia (CGCM)

Initiatives to Enhance Small and Medium Enterprises

Performance

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Rasiah Devinaga, Teck Ming Tan p101

The Influence of Socio-cultural Variables on Consumers’

Perception of Halal Food Products: A Case of Masvingo Urban,

Zimbabwe

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Munyaradzi Mutsikiwa, Clay Hutama Basera p112

Hybrid Strategy: A New Strategy for Competitive Advantage PDF

Mas Bambang Baroto, Muhammad Madi Bin Abdullah,

Hooi Lai Wan

p120

This work is licensed under a Creative Commons Attribution 3.0 License.

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International Journal of Business and Management; Vol. 7, No. 20; 2012 ISSN 1833-3850 E-ISSN 1833-8119

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71

The Levels of Using Strategic Management Tools and Satisfaction with Them: A Case of Five-Star Hotels in Turkey

Ali Erbaşı1 & Şafak Ünüvar2 1 Vocational School of Social Sciences, Selcuk University, Konya, Turkey 2 School of Tourism and Hotel Management, Selcuk University, Konya, Turkey

Correspondence: Ali Erbaşı, Vocational School of Social Sciences, Selcuk University, Campus of Alaeddin Keykubat, Selçuklu/Konya, Turkey. Tel: 90-332-223-2293. E-mail: [email protected]

Received: July 23, 2012 Accepted: August 8, 2012 Online Published: October 16, 2012

doi:10.5539/ijbm.v7n20p71 URL: http://dx.doi.org/10.5539/ijbm.v7n20p71

Abstract

The main purpose of this research is to determine the levels of using strategic management tools (SMT) and satisfaction with them in five star hotels in Turkey. In addition, the relationships between the characteristics of managers and organizations in terms of using the SMT and satisfaction with term are investigated. The sample includes 53 five-star hotels in Turkey. Results show that the levels of using SMT are high, but satisfactions with them are low. While the tool with the highest usage is customer relationship management, the tool with the lowest usage is Hoshin Kanri. On the other hand, while the SMT of Swot Analysis has highest satisfaction scores, the Search conference has lowest. Thus, a matrix of the levels of using SMT and satisfaction with term is presented. In this study, significant differences among organizations’ operation years and their decision making levels in terms of using SMT are determined. No significant differences are determined among all demographic characteristics in terms of satisfaction with the SMT.

Keywords: strategic management tools, swot, customer relationship management, five star hotels

1. Introduction

A search for making short term and medium term plans and their planning procedures to reach long term targets brings the importance of strategic management tools into the prominence. Therefore, in recent years, strategic management tools are highly preferred in many application areas. In this view, it is possible to come across with many studies in the literature on the application of various strategic management tools in hotel managements. For instance, Kaplan and Norton (1996) suggest a balanced scorecard as a strategic management tool to transfer long-term strategies into short-term actions. Koszevska (2004) examines the current situation of outsourching as a modern management strategy in protective clothing market. Dogan and Demiral (2008: 1-22) examine the benchmarking technique, which is defined as an important tool to increase the efficacy of strategic management. It is possible to increase these samples. However, there is very little research, which evaluates all strategic management tools in the literature. In these studies, findings on the usage of strategic management tools and techniques or of satisfaction levels resulting from their usage in the managements are mentioned. In one of these, Sucu (2010) investigates the applications of strategic management tools in small and medium sized enterprises and concludes to what extent the strategic management tools are used here. The study is conducted in 55 medium sized enterprises currently carrying on their business in İzmir (the number of personnel is between 50-249). As a result of the study, it is emphasized that the strategic management tools are not known by medium sized enterprises and also they are not used. The most common tools and techniques, claimed to be in use by managements, which participated in the survey, are determined as benefit-cost analysis, risk analysis, total quality management and portfolio analysis.

Pasanen (2011: 1-8) conducts a research to determine the usage and satisfaction levels of strategic management tools in 143 small and medium sized enterprises in Finland. 15 strategic management tools and techniques are tested in 101 service managements and 42 production managements. As a result, the usage and satisfaction levels of strategic management tools in small and medium sized enterprises make a difference when compared to large managements. Besides, a significant resolution is observed between the usage and satisfaction levels of strategic management tools in small and medium sized enterprises in production and service sectors and strategic management tools. Fowzia (2010) conducts a study on determining the usage levels of strategic management

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accounting techniques in production managements in Bangladesh. As a result, it is emphasized that the acceptance levels of strategic management accounting techniques are not satisfactory in production managements and several tools come into the prominence during performance development process.

Jack (2009) conducts a field research on the usage of strategic management accounting tools in agriculture and agricultural industry. Such evaluations on the usage of tools as benchmarking, balanced scorecard, supply chain management, Porter’s competition analysis and target cost management, are involved in the research, conducted in England, United States, Australia and New Zealand. Erbaşı (2012) determines the levels of knowledge and importance of 35 strategic management tools in five star hotel managements about the same sample in Turkey in his study. As a result, it is seen that the most common and most-valued strategic management tool by the managers is determined as customer relationship management, the least common as gordon technique and the less valued as search conference. In this study, it was determined that the higher the level of knowledge for strategic management tools, the more importance the managers give these tools. Çakıcı (1998) describes in his study that importance of customer relationship management one of the strategic management tools for hotel enterprises by a descriptive study. Rigby (2001: 139-160) investigates the usage and satisfaction levels of strategic management tools in 15 countries over four continents, carrying their business on different sectors. As a result, it is seen that the successful companies use strategic management tools more than unsuccessful ones. Besides, financially successful companies are determined to have much higher satisfaction levels on the usage of strategic management tools than the unsuccessful ones.

Cinquini and Tenucci (2007) conducts a study on the usage of 14 strategic management accounting tools in 93 companies, currently carrying their business on different sectors in Italy. By using a 5-item Likert type scale in the study, they determine 7 tools having an average usage of more than 3. They also determine by developing 5 hypotheses that there is no significance in the rate of usage of tools and techniques in terms of the size of the management. On contrary to this conclusion, Gulding (1999) concludes that there is a significant resolution between the rate of usage of tools and techniques and the size of the management and also this rate in large managements is much higher than the small managements.

There is very little research in the literature on determining the usage levels of strategic management tools in managements and their satisfaction. As understood from the sample, a small number of strategic management tools are of our focus. However, strategic management tools are not limited so and the usage of other management tools in other studies plays an important role in terms of the significance of the results. Also, there is no research in the literature review on investigating the usage of strategic management tools in five star hotels in Turkey taking as a sample. In this view, it is highly important to determine the usage and satisfaction levels basing on several strategic management tools in five star hotels in Turkey in terms of revealing the current situation in five star hotel managements.

2. Research Methodology

The context of the study involves all 328 five star hotels currently carrying their business in Turkey according to the 2010 data (Republic of Turkey, Ministry of Culture and Tourism. 2011: 11). All managements are contacted by phone and the surveys prepared are sent to the responsible managers via mail by the researchers. However, 275 of these managements do not response back for several reasons although they are delivered in advance. The sample of the research involves 53 five star hotel managements by which the survey is received and answered back. In this view, 16.2% of five star hotel managements in Turkey are conferred. Initially, a pilot application is made in 10 managements, picked randomly from the sample and several determinations are made about the statements in the survey. For these determinations, an information note including some conceptual terms on strategic management tools and techniques is also prepared and delivered together with the surveys in order to increase the understandability of the survey. Also, the survey is finalized by adding some conceptual equivalents (English equivalents in some) to increase the understandability of strategic management tools in terms of these determinations.

In this three-part survey, the first part involves 10 demographic questions about the management and the second involves 7 demographic questions about the manager who completes the survey. The third part investigates the usage and satisfaction levels of 30 strategic management tools and techniques. The strategic management tools are taken as basis from the studies by Fleisher and Bensoussan (2002), Chak (1998: 4), Akgemci (2008: 47-124), Kocer (2007: 81), Aktan (2006: 171-173), Sucu (2010: 121), Senturk (2010: 35), Pasanen (2011: 1-8), Aktan (2008: 7-9), Yilmaz (2007: 57-69) and Erdogan (2008: 37-44). Two different 5-item Likert type scale is used for the responses of participants in the survey. The scale involves items from (1) Always (2) Often (3) Mostly (4) to Sometimes (5) Never when evaluating the usage levels of strategic management tools. The scale involves items

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from (1) Very Good (2) Good (3) Little (4) Very Little to (5) Never when determining the satisfaction levels of application results. The reliability coefficient is determined to be .994, which is calculated via internal consistency method of Cronbach Alpha by excluding 5 items from the 35-item strategic management tool in the survey. This rate indicates that the reliability of these scales is quite high. The survey is applied in October, November and December in 2011 and the results obtained are analyzed via SPSS 16.0 packet program.

The number of strategic management tools is not limited only in the 30 ones used in our study. This model involving any strategic search and effort for increasing the efficacy of the management can be classified as strategic management tool. This case may be accepted as a limitation for our study. Another limitation is that only 53 hotel managements are contacted in the context of 328. By the participation of more management, the results would be more significant. However, the number of samples is still able to represent the context in terms of statistics.

3. Findings

In the study, managers from 53 managements are asked to answer the questions on demographic characteristics firstly of the management and then of the manager. The 41.5% of managements in the study have a capital more than 15 million TRY. 88.7% of participant managements have a domestic capital; 56.6% have a sales turnover more than 7 million TRY; 58.5% have an annual number of customers more than 10.000; and when the number of personnel is taken into consideration, 3.8% involves small scaled, 62.3% medium scaled and 33.9% of large scaled managements. The data on the demographic characteristics of participant managements are given in Table 1.

Table 1. The demographic characteristics of participant managements

Variables N=53 % Variables N=53 %

Operation Years Capitalization

2-3 years 5 9.4 Less than 1 million TL 4 7.5

4-7 years 14 26.4 1-3 million TL 14 26.4

8-15 years 18 34.0 3-7 million TL 3 5.7

16-24 years 11 20.8 7-15 million TL 10 18.9

25 years and more 5 9.4 More than 15 million TL 22 41.5

Total Income for the Last Year Total Giro for The Last Year

Less than 1 million TL 10 18.9 Less than 1 million TL 3 5.7

1-3 million TL 19 35.8 1-3 million TL 10 18.9

3-7 million TL 13 24.5 3-7 million TL 10 18.9

7-15 million TL 10 18.9 7-15 million TL 17 32.1

More than 15 million TL 1 1.9 More than 15 million TL 13 24.5

The Total Number of Customers for the

Last Year

The Number of Stakeholders

Less than 1000 3 5.7 1 23 43.4

1001-2000 5 9.4 2 10 18.9

2001-5000 4 7.5 3-4 8 15.1

5001-10000 10 18.9 5 9 17.0

More than 10000 31 58.5 6-9 2 3.8

100 and more 1 1.9

Number of Staff Number of Trained Staff (about tourism)

Less than 50 2 3.8 6-10 5 9.4

50-249 33 62.3 11-20 10 18.9

250-499 14 26.4 21-40 22 41.5

500-999 4 7.5 41 and more 16 30.2

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Strategic Management Decisions by Whom Personnel’ Education Levels

Only senior management 29 54.7 Primary Education 40 75.5

Included middle-level management 11 20.8 Undergraduate 12 22.6

Included middle and lower level of

management

11 20.8 Post-Undergraduate 1 1.9

Participation of all staff 2 3.8 Hotel Type

Type of Property Business Hotel 11 20.8

Independent Hotel 22 41.5 Health Hotel 2 3.8

Hotel Chain 31 58.5 Resting Hotel 40 75.5

In the study, 81.8% of the managers filling in the survey are male, 86.8% of them are managers, 79.2% of them are undergraduate and 50.9% of them are at the age of 36 or above. The demographic characteristics of managers filling in the survey on behalf of their participant managements are given in Table 2.

Table 2. The demographic characteristics of managers filling in the survey

Variables N=53 % Variables N=53 %

Gender Professional Experience

Male 43 81.1 1-5 years 11 20.8

Female 10 18.9 6-10 years 16 30.2

Position 11-15 years 10 18.9

Director of Finance 4 7.5 16-20 years 10 18.9

Director of F&B 2 3.8 21 years and more 6 11.3

General Manager 18 34.0 Age

Director of Front-office 15 28.3 18-25 2 3.8

Director of Accounting 7 13.2 26-30 6 11.3

Assistant General Manager 7 13.2 31-35 18 34.0

Education Level 36-45 21 39.6

Primary Education 2 3.8 46-55 6 11.3

Undergraduate 42 79.2

Post-Undergraduate 9 17.0

The average of usage levels of strategic management tools by five star hotel managements in Turkey is 1.5844. The average of satisfaction levels of 30 hotel managers using strategic management tools is determined as 3.8077. The findings of average usage and satisfaction levels of five star hotel managements in Turkey on 30 strategic management tools are given in Table 3.

Table 3. The average of usage and satisfaction levels of strategic management tools

n Mean Std. Deviation

Average of Usage 53 1.5844 .72432

Average of Satisfaction 30 3.8077 .49926

When the usage levels of 30 strategic management tools in five star hotel managements in Turkey are examined, it is observed that the most frequently used strategic management tool is the method of customer relationship management. This method is followed by vision/mission statements, risk analysis and open group discussions, respectively. The least frequently used strategic management tool is hoshin kanri method. This method is

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followed by McKinsey matrix, q-sort analysis and nominal group technique, respectively. The average usage levels of each strategic management tool are given in Table 4.

Table 4. The average of usage levels of strategic management tools

n = 53 Mean Std. Deviation

Open Book Management 1.53 1.067

Open Group Discussions 2.09 1.319

Search Conference 1.30 .890

Balanced Scorecard 1.36 1.039

Brain Storming 1.98 1.394

Value Chain Analysis 1.47 .992

Reengineering 1.26 .763

Outsourching 1.62 1.078

E-trade 1.92 1.542

Benefit-Cost Analysis 1.98 1.575

Hofer Analysis (Product/ Market Assessment Matrix) 1.34 1.018

Hoshin Kanri 1.09 .450

Quality Circles 1.79 1.350

Benchmarking 2.06 1.562

Downsizing 1.49 1.187

McKinsey Matrix 1.15 .533

Multivoting 1.23 .609

Customer Relationship Management 2.57 1.824

Nominal Group Technique 1.19 .735

Learning Organizations 1.58 1.134

Organizational Development 1.64 1.226

Porter’s Competitive Analysis 1.34 .876

Portfolio Analysis 1.85 1.406

Q-sort Analysis 1.17 .727

Risk Analysis 2.23 1.577

Scenario Analysis 1.74 1.318

Strategic Total Quality Management 2.04 1.519

Swot Analysis 1.68 1.356

Supply Chain Management 1.77 1.310

Vision/Mission Statements 2.26 1.595

When the satisfaction levels of managements using strategic management tools are examined, it is seen that the Swot analysis is the most satisfied tool. This method is followed by customer relationship management, e-trade and benchmarking, respectively. The least satisfaction level of tools at the end of their usage is determined as search conference. This method is followed is McKinsey matrix, downsizing and outsourching, respectively. The average satisfaction levels for each strategic management tool are shown in Table 5.

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Table 5. The average satisfaction levels of strategic management tools

n Mean Std. Deviation

Open Book Management 14 3.36 1.151

Open Group Discussions 26 3.50 .762

Search Conference 12 2.75 1.422

Balanced Scorecard 8 3.88 .835

Brain Storming 23 3.91 .733

Value Chain Analysis 11 3.55 .934

Reengineering 7 3.43 .976

Outsourching 17 3.18 .951

E-trade 17 4.41 .795

Benefit-Cost Analysis 17 4.06 .827

Hofer Analysis (Product/ Market Assessment Matrix) 7 4.00 1.000

Hoshin Kanri 4 3.25 1.258

Quality Circles 17 3.59 1.121

Benchmarking 20 4.30 .733

Downsizing 11 3.00 1.265

McKinsey Matrix 5 3.00 1.581

Multivoting 8 3.50 1.069

Customer Relationship Management 25 4.48 .770

Nominal Group Technique 4 4.00 .816

Learning Organizations 14 3.64 1.151

Organizational Development 13 4.08 .641

Porter’s Competitive Analysis 8 3.62 .916

Portfolio Analysis 15 4.27 .594

Q-sort Analysis 3 3.67 1.528

Risk Analysis 21 4.14 .573

Scenario Analysis 15 4.07 .799

Strategic Total Quality Management 19 4.21 .787

Swot Analysis 11 4.64 .674

Supply Chain Management 15 3.87 .834

Vision/Mission Statements 22 4.14 .710

The results indicate that brain storming, e-trade, benefit-cost analysis, benchmarking, customer relationship management, organizational development, portfolio analysis, risk analysis, scenario analysis, strategic total quality management, swot analysis, supply chain analysis and vision/mission statements have low levels of usage and high levels satisfaction; and outsourching, quality circles and learning organizations have high usage levels and low satisfaction levels. Besides, balanced scorecard, Hofer analysis and nominal group techniques have low usage but high satisfaction levels; and open book management, search conference, supply chain analysis, reengineering, hoshin kanri, downsizing, McKinsey matrix, multivoting, Porter’s competition analysis and q-sort analysis have low usage but high satisfaction levels. A usage-satisfaction matrix is prepared in Table 6, basing on the average usage and satisfaction levels of strategic management tools in five star hotel managements in Turkey.

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Table 6. The matrix for the usage and satisfaction levels of strategic management tools

Usage-Satisfaction Matrix High Satisfaction

(Above Average: 3,8077) Low Satisfaction

(Below Average: 3,8077)

High Usage

(Above Average: 1.5844)

Brain Storming

E-trade

Benefit-Cost Analysis

Benchmarking

Customer Relationship Management

Organizational Development

Portfolio Analysis

Risk Analysis

Scenario Analysis

Strategic Total Quality Management

Swot Analysis

Supply Chain Management

Vision/Mission Statements

Open Group Discussions

Outsourching

Quality Circles

Learning Organizations

Low Usage

(Below Average: 1.5844)

Balanced Scorecard

Hofer Analysis

Nominal Group Technique

Open Book Management

Search Conference

Value Chain Analysis

Reengineering

Hoshin Kanri

Downsizing

McKinsey Matrix

Multivoting

Porter’s Competitive Analysis

Q-sort Analysis

In the study, it is also determined whether there is a significant difference among some demographic characteristics on the usage and satisfaction levels of strategic management tools in five star hotel managements in Turkey. Therefore, 12 hypotheses have been prepared. The non-parametric tests are used for the first 8 hypotheses where the data have a normal distribution; and parametric tests are used for the other 4 hypotheses where the data have a normal distribution. Hypotheses and their results are given in Table 7.

Table 7. Hypotheses and their results

Hypotheses Test p Rejected / Accepted

Conclusion

H1: Strategic management tools vary in accordance with the years spent in the sector.

Kruskal Wallis

.03 Accepted

The usage levels of strategic managementtools of the managements running more than25 years are high when compared to theothers.

H2: The usage levels of strategic management tools vary in net profit of the previous year.

Kruskal Wallis

.71 RejectedThere is no significant difference betweenthe usage levels of strategic managementtools and net profit of the previous year.

H3: The usage levels of strategic management tools vary in hotel types in possession.

Mann-Whitney U

.210 RejectedThere is no significant difference between the usage levels of strategic management tools and hotel types in possession.

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H4: The usage levels of strategic management tools vary in total number of personnel.

Kruskal Wallis

.27 RejectedThere is no significant difference between the usage levels of strategic management tools and total number of personnel.

H5: The usage levels of strategic management tools vary in the average education levels of the personnel.

Kruskal Wallis

.43 Rejected

There is no significant difference between the usage levels of strategic management tools and the average education levels of the personnel.

H6: The usage levels of strategic management tools vary in hotel type.

Kruskal Wallis

.25 RejectedThere is no significant difference between the usage levels of strategic management tools and hotel type.

H7: The usage levels of strategic management tools vary in the number of educated personnel in tourism in hotel management.

Kruskal Wallis

.99 Rejected

There is no significant difference between the usage levels of strategic management tools and the number of educated personnel in tourism in hotel management.

H8: The usage levels of strategic management tools vary in the decision-making levels of strategic management.

Kruskal Wallis

.01 AcceptedThe usage levels of strategic management tools are high where the decisions are made by the participation of all personnel.

H9: The satisfaction levels of strategic management tools vary in total number of personnel.

Anova .822 Rejected

There is no significant difference between the satisfaction levels of strategic management tools and total number of personnel.

H10: The satisfaction levels of strategic management tools vary in the average education levels of the personnel.

Anova .069 Rejected

There is no significant difference between the satisfaction levels of strategic management tools and the average education levels of the personnel.

H11: The satisfaction levels of strategic management tools vary in the number of educated personnel in tourism and hotel management.

Anova .0861 Rejected

There is no significant difference between the satisfaction levels of strategic management tools and the number of educated personnel in tourism and hotel management.

H12: The satisfaction levels of strategic management tools vary in the decision-making levels of strategic management.

Anova .0954 Rejected

There is no significant difference between the satisfaction levels of strategic management tools and the decision-making levels of strategic management.

4. Conclusion

The views from 53 five star hotel managements are taken into consideration in our study, in which we try to determine the usage and satisfaction levels of strategic management tools in five star hotel managements in Turkey. According to the results of the analysis, the average usage levels of strategic management tools are low (1.5844) but satisfaction levels are high (3.8077). The most frequently used strategic management tool in five star hotel managements in Turkey is determined as customer relationship management; the least frequently used tool is hoshin kanri, the most satisfying tool is swot analysis and the least satisfying is search conference. According to the usage and satisfaction matrix prepared by basing on the usage and satisfaction levels of strategic management tools, brain storming, e-trade, benefit-cost analysis, benchmarking, customer relationship management, organizational development, portfolio analysis, risk analysis, scenario analysis, strategic total quality management, swot analysis, supply chain analysis and vision/mission statements have low levels of usage but high levels satisfaction; and open group discussions, outsourching, quality circles and learning organizations have high levels of usage but low levels of satisfaction. Besides, balanced scorecard, Hofer

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analysis and nominal group technique have low usage but high satisfaction levels; and open book management, search conference, supply chain analysis, reengineering, hoshin kanri, downsizing, McKinsey matrix, multivoting, Porter’s competition analysis and q-sort analysis have low usage but high satisfaction levels.

A significant difference is observed between the years spent in the sector by the managements and decision-making levels of strategic management tools and the usage levels of strategic management tools in the analysis made by non-parametric tests. The usage levels of strategic management tools in five-star hotel managements in Turkey vary according to the net profit of the previous year, hotel types in terms of possession, total number of personnel, the average education levels of the personnel, hotel types and the number of educated personnel in tourism and hotel management. The satisfaction levels in terms of strategic management tools in five star hotel managements in the analysis made by parametric tests vary according to total number of personnel, the average education levels of the personnel, the number of educated personnel in tourism and hotel management and the decision making levels of strategic management tools. These data do not indicate a significant difference between satisfaction levels of strategic management tools and demographic variables. We believe that the results obtained from the study are important in terms of reflecting the situation on the usage and satisfaction levels of strategic management tools in five star managements in Turkey. In addition, the study plays an important role in giving a light to the usage and satisfaction of strategic management tools in the hotel managements.

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