期刊
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
卷 126, 期 2, 页码 255-263出版社
ELSEVIER
DOI: 10.1016/j.ijpe.2010.03.015
关键词
Quality attributes; Kano model; Customer satisfaction; Moderating regression analysis
Service and product quality is a multi-dimensional construct and not all quality attributes are viewed as equally important to customers. Several studies have applied the dummy variable regression method to recognize those product and service attributes that contribute more significantly to customer satisfaction. All attributes are classified into three quality factors (basic, performance, excitement) with each factor having different implications for customer satisfaction. This project proposes a moderated regression approach that corrects the flaws of the dummy regression method and produces more accurate attribute classification. The proposed method was validated using data collected from an online tax declaration service. (C) 2010 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据