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Service quality gaps analysis based on Fuzzy linguistic SERVQUAL with a case study in hospital out‐patient services

Hsiu‐Yuan Hu (Department of Food Science, Taipei College of Maritime Technology, Taipei, Taiwan, ROC and Da Chien Health Medical System, Miaoli City, Taiwan, ROC)
Yu‐Cheng Lee (Department of Technology Management, Chung‐Hua University, HsinChu, Taiwan, ROC)
Tieh‐Min Yen (Graduate Institute of Technology Management, Chung‐Hua University, HsinChu, Taiwan, ROC)

The TQM Journal

ISSN: 1754-2731

Article publication date: 24 August 2010

3680

Abstract

Purpose

This study seeks to propose a conceptual approach to assess the perceived service quality properly using Fuzzy logic. First, it aims to verify whether it is a better solution than the Likert scale. Second, it seeks to evaluate patients' feedback towards hospital service quality using Fuzzy linguistic analysis.

Design/methodology/approach

The SERVQUAL questionnaire was developed according to the characteristics of each hospital's out‐patient service. Three regional hospitals in Hsin‐Chu, Taiwan were evaluated. After being completed and collected, first, the effectiveness of the Fuzzy linguistic scale and the Likert scale was compared. Second, gap values of each element were evaluated to find the core service quality attributes for continuous improvement. Finally, analysis of variance (ANOVA) was conducted to segment markets using certain service quality attributes and different demographic variables.

Findings

The result indicated that the Fuzzy linguistic scale is higher than the Likert scale in terms of reliability in the measurement. Moreover, through gap analysis and ANOVA, a better focus was achieved on the 8th, 10th, 14th, 21st and 3rd service quality attributes from the SERVQUAL measurement on which management should concentrate and which they should endeavor to work out. The 1st, 2nd, 14th and 16th items from the SERVQUAL measurement can be market segment factors, respectively.

Originality/value

The study successfully introduced Fuzzy linguistic analysis into the Gap theory and SERVQUAL measurements, and provided more internal consistency and stability than the Likert scale. After discussing the findings of the gap analysis and ANOVA, the organization could find the critical service quality attributes and create a value for improving or enhancing them.

Keywords

Citation

Hu, H., Lee, Y. and Yen, T. (2010), "Service quality gaps analysis based on Fuzzy linguistic SERVQUAL with a case study in hospital out‐patient services", The TQM Journal, Vol. 22 No. 5, pp. 499-515. https://doi.org/10.1108/17542731011072847

Publisher

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Emerald Group Publishing Limited

Copyright © 2010, Emerald Group Publishing Limited

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