Paper Title:
The Influence of Fashion Shop Perceived Quality on Customer Satisfaction
  Abstract

To improve fashion shop service quality, this study investigated customer perception and its effect on satisfaction, using questionnaire approach. By factor analysis, three perceived quality dimensions, including shopping atmosphere, personal service and merchandise characteristics, are extracted. By stepwise multiple regression analysis, the effect of perception dimensions on customer satisfaction was investigated. Furthermore, the effect of all of the quality attributes in each perception dimension on customer satisfaction was also investigated. The result shows all of the perception dimensions significantly influence customer satisfaction. Among them, personal service-related attributes were confirmed the key role for the success of fashion shop. Fashion shop managers should reasonably allocate their limited resources to service attributes based on their contributions to customer satisfaction.

  Info
Periodical
Advanced Materials Research (Volumes 332-334)
Chapter
Chapter 3: Fiber Manufacturing Technology
Edited by
Xiaoming Qian and Huawu Liu
Pages
462-466
DOI
10.4028/www.scientific.net/AMR.332-334.462
Citation
W. Gao, Z. C. Wang, R. Li, "The Influence of Fashion Shop Perceived Quality on Customer Satisfaction", Advanced Materials Research, Vols. 332-334, pp. 462-466, 2011
Online since
September 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Chun Chih Chen, Han Yu Lin
Chapter 5: Electronic Communication Engineering and Electrical Automation Engineering
Abstract:The Massively Multiplayer Online Role-Playing Game (MMORPG) industry is growing rapidly. A MMORPG is composed of many design attributes;...
1095
Authors: Chung Lin Huang, Chung Chi Huang
Chapter 5: Advanced Development for Information Technologies and Engineering, Networks and Software Applications, Data Acquisition and Processing, Intelligent Systems
Abstract:The main purpose of this research is applying an intelligent strategy to improve the customer satisfaction prediction system of airlines...
965
Authors: Fei Zhang, Yang Xu
Chapter 11: Industrial Engineering, Production Quality and Management
Abstract:To realize the optimum parameters combination of product-service systems, a method based on the customer demands was referred. Firstly the...
1374