Back-propagation neural network based importance-performance analysis for determining critical service attributes

CHUR > College of Tourism > Department of Leisure and Recreation Management > Journal Articles > Item 987654321/36203

Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/36203

Title:	Back-propagation neural network based importance-performance analysis for determining critical service attributes
Authors:	鄧維兆 Deng, Wei-Jaw
Contributors:	休閒遊憩規劃與管理學系 Leisure and Recreation Management
Keywords:	Back-propagation neural network;IPA;Three-factor theory;Critical service attribute
Date:	2008
Issue Date:	2014-06-27 11:37:33 (UTC+8)
Abstract:	Importance–performance analysis (IPA) is a simple but effective means of assisting practitioners in prioritizing service attributes when attempting to enhance service quality and customer satisfaction. As numerous studies have demonstrated, attribute perf
Appears in Collections:	[Department of Leisure and Recreation Management] Journal Articles

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