A fuzzy-AHP-based framework for prioritising benchmarks in the service sector

Benchmarking as an improvement tool has been acknowledged in almost all sectors of the business world, including the service sector. However, the available literature on benchmarking is apparently lacking attention on the issue of prioritisation of benchmarks in the service sector, especially when there are clear constraints on time and resources that can be spent on an elaborate benchmarking endeavour. This paper presents a comprehensive fuzzy-AHP-based framework using Chang's extent analysis method for prioritising benchmarks in the service sector. The framework is based on a philosophy wherein the viewpoint of all the stakeholders of a given business set-up is taken into account for progressive improvement.

[1]  Mahmoud M. Yasin,et al.  The theory and practice of benchmarking: then and now , 2002 .

[2]  Mohamed Zairi,et al.  Future trends in benchmarking for competitive advantage: A global survey , 2001 .

[3]  Ludmil Mikhailov,et al.  Deriving priorities from fuzzy pairwise comparison judgements , 2003, Fuzzy Sets Syst..

[4]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[5]  J. Whymark Benchmarking and credit risk management in financial services , 1998 .

[6]  Lawrence S. Pryor Benchmarking: A Self‐Improvement Strategy , 1989 .

[7]  Kelly C. Strong,et al.  Measuring Service Quality For Strategic Planning And Analysis In Service Firms , 2011 .

[8]  B. Johnson,et al.  Foodservice benchmarking: practices, attitudes, and beliefs of foodservice directors. , 2000, Journal of the American Dietetic Association.

[9]  Chen-Tung Chen,et al.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..

[10]  Michael Tomasello,et al.  Human behaviour: Share and share alike , 2008, Nature.

[11]  J. Alavi,et al.  The status of TQM in healthcare. , 1998, Health marketing quarterly.

[12]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[13]  R. Dattakumar,et al.  A review of literature on benchmarking , 2003 .

[14]  Robert C. Camp,et al.  Benchmarking: The Search for Industry Best Practices That Lead to Superior Performance , 1989 .

[15]  Gregory H. Watson,et al.  Strategic Benchmarking: How to Rate Your Company's Performance against the World's Best , 1993 .

[16]  James J. Buckley,et al.  Fuzzy hierarchical analysis: the Lambda-Max method , 2001, Fuzzy Sets Syst..

[17]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[18]  C. Grönroos A Service Quality Model and its Marketing Implications , 1984 .

[19]  A. Parasuraman,et al.  Alternative scales for measuring service quality: A comparative assessment based on psychometric and diagnostic criteria , 1994 .

[20]  Don-lin Mon,et al.  Evaluating weapon system by Analytical Hierarchy Process based on fuzzy scales , 1994 .

[21]  Yu Jing,et al.  A discussion on Extent Analysis Method and applications of fuzzy AHP , 1999, Eur. J. Oper. Res..

[22]  D. Chang Applications of the extent analysis method on fuzzy AHP , 1996 .

[23]  Paula Kyrö,et al.  Revising the concept and forms of benchmarking , 2003 .

[24]  Hidetomo Ichihashi,et al.  Analytic hierarchy process based on interval analysis , 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

[25]  Mohan Lal Agrawal,et al.  Managing Service Industries in the New Millennium , 2000 .

[26]  Martin Christopher,et al.  Improving the quality of services marketing: Service (Re) design is the critical link , 1995 .

[27]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[28]  J. Buckley,et al.  Fuzzy hierarchical analysis , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[29]  A. Parasuraman,et al.  SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. , 1988 .