Cart (Loading....) | Create Account
Close category search window

Benchmarking service quality from the inside and outside of a service organization by group decision-making

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Huizhang Shen ; Inst. of Syst. Eng., Shanghai Jiao Tong Univ., China ; Jidi Zhao ; Huanchen Wang ; Ying Peng

How to benchmark the service quality of a service organization is an important problem. However, there is no standardized or formulized method to measure it. One of the feasible methods is marked by a group of decision makers. This group is composed of decision makers coming from both the inside and the outside of the service organization. The most difficult problem is to allocate the decision-makers' weight in the group decision. Each decision maker has his or her specific weight, because he or she has different authority and experience or for other reasons. This paper studies the decision-makers' weight allocating algorithm and then puts forward a new service quality benchmarking model. Prior research methods on the weight allocation of group decision-making include Authority Allocation, Nominal Group Technique method, Entropy Method and Fuzzy Cluster Analysis. The first and the second methods analyze the weight from the subjective aspect and the rest analyze the weight based on the historical decision-making data. Essentially, weight allocation is a complicated problem. These methods unavoidably lead to unilateral conclusion. This paper defines the quantificational preference utility value of a service quality item, puts forwards a new algorithm to determine the decision-makers' weight in group decision problems, and considers three factors affecting the decision-makers' weight and two aspects of the service organization in the service quality benchmarking model, including the inside evaluation and outside evaluation. This paper studies the resolving algorithm of weight evaluation based on hierarchical analysis and normal stochastic matrix, analyzes the quantitative relationship between decision maker's weight and the consistency index and characteristic vector of preference judgment matrix. In the end, the paper puts forward the interactive implementation steps of the decision-making model for service quality benchmarking problems.

Published in:

Services Systems and Services Management, 2005. Proceedings of ICSSSM '05. 2005 International Conference on  (Volume:1 )

Date of Conference:

13-15 June 2005

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.