Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

An empirical comparison of service matrices

An empirical comparison of service matrices This research is the first study to evaluate and compare alternative service positioning matrices using rigorous statistical analysis and a common data set based on a variety of service processes. The matrices are evaluated based on five guidelines: clarity of construct definitions, conceptual independence of the two axes of each matrix, clarity in specifying the direction of causation from one axis to the other, axis unidimensionality, and correlation between the two axes of each matrix. These five guidelines provide a more rigorous approach to evaluating current and future positioning matrices, and contribute to the literature by defining more specifically than past research what constitutes a good positioning matrix. The difference between a classification scheme and a positioning matrix are also explained. The results indicate that while there is a statistically significant level of association (correlation) between the axes (Guideline 5) of each of the service matrices studied, meeting the requirements of the other four guidelines is a challenge for some service matrices. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Operations & Production Management Emerald Publishing

Loading next page...
 
/lp/emerald-publishing/an-empirical-comparison-of-service-matrices-dsl4uXEJyy
Publisher
Emerald Publishing
Copyright
Copyright © 2000 MCB UP Ltd. All rights reserved.
ISSN
0144-3577
DOI
10.1108/01443570010321685
Publisher site
See Article on Publisher Site

Abstract

This research is the first study to evaluate and compare alternative service positioning matrices using rigorous statistical analysis and a common data set based on a variety of service processes. The matrices are evaluated based on five guidelines: clarity of construct definitions, conceptual independence of the two axes of each matrix, clarity in specifying the direction of causation from one axis to the other, axis unidimensionality, and correlation between the two axes of each matrix. These five guidelines provide a more rigorous approach to evaluating current and future positioning matrices, and contribute to the literature by defining more specifically than past research what constitutes a good positioning matrix. The difference between a classification scheme and a positioning matrix are also explained. The results indicate that while there is a statistically significant level of association (correlation) between the axes (Guideline 5) of each of the service matrices studied, meeting the requirements of the other four guidelines is a challenge for some service matrices.

Journal

International Journal of Operations & Production ManagementEmerald Publishing

Published: Jun 1, 2000

Keywords: Service operations; Statistics; Empirical studies

References