DocumentCode :
515319
Title :
Using cusp catastrophe theory to model pick-up point choice behavior for online bookstore shopper
Author :
Huang, Yu-Kai ; Fan, Wei-Shang ; Hsieh, Cheng-Hsien ; Lan, Chun-Hsiung ; Chang, Ruei-Shiuan
Author_Institution :
Inst. of Publishing & Culture Enterprise Manage., Nanhua Univ., Chiayi, Taiwan
Volume :
1
fYear :
2010
fDate :
9-10 Jan. 2010
Firstpage :
44
Lastpage :
48
Abstract :
Ordering books on the Internet is obviously becoming a significant market. Retailing delivery (RD) service provides consumers with a self pick-up approach, so it is popular for those who cannot conveniently use home delivery service. E-service quality and logistics service quality are the key issues in e-commerce. A nonlinear model of loyalty is suggested by past studies. The main purpose of this study is to explore how of the logistics service quality and switching cost influence the pick-up point choice behavior by using a catastrophe model. Firstly, the latent variable is defined in the confirmatory factor analysis (CFA). Secondly, the catastrophe model was used to analyze the linkages between service quality and switching cost on pick-up point service loyalty. The results indicated that the switching cost plays the splitting factor in the catastrophe model, and a high switching cost makes the discontinuous choice behavior, implications of these results for practice and research are provided.
Keywords :
electronic commerce; electronic publishing; logistics; quality of service; retailing; confirmatory factor analysis; cusp catastrophe theory; e-commerce; e-service quality; logistics service quality; nonlinear model; online bookstore shopper; pick-up point choice behavior; pick-up point service loyalty; retailing delivery service; switching cost; Books; Costs; Couplings; Customer satisfaction; Electronic commerce; Electronic mail; Logistics; Publishing; Transportation; Web and internet services; Cusp Catastrophe Theory; Logistics Service Quality; Online Bookstore; Retailing Delivery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Logistics Systems and Intelligent Management, 2010 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-7331-1
Type :
conf
DOI :
10.1109/ICLSIM.2010.5461473
Filename :
5461473
Link To Document :
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