Volume 5 Number 10 (Oct. 2010)
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JCP 2010 Vol.5(10): 1527-1533 ISSN: 1796-203X
doi: 10.4304/jcp.5.10.1527-1533

Predicting Consumer Repurchase Intentions to Shop Online

Chwen-Yea Lin1, 2, Kwoting Fang1, and Chien-Chung Tu2
1 National Yunlin University of Science and Technology/Information Management, Douliou City, Taiwan
2 Tatung Institute of Commerce and Technology/Information Management, Chiayi City, Taiwan


Abstract—The World Wide Web (WWW) has rapidly evolved since its inception in 1990. The total value of purchased goods and online services reached 327 billion US dollars in 2002. Such exponential growth has influenced the establishment of electronic commerce. Understanding online consumers is important in today’s economy. However, online sales remain relatively low compared to traditional retailing. It is also important to understand buyer motivation and the satisfaction of online customers after making a purchase. We test this with a questionnaire-based empirical study. The practical and theoretical implications discussed may help Web designers, developers, and managers understand consumer online shopping habits.

Index Terms—Flow theory, intention to return, Technology acceptance model

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Cite: Chwen-Yea Lin, Kwoting Fang, and Chien-Chung Tu, " Predicting Consumer Repurchase Intentions to Shop Online," Journal of Computers vol. 5, no. 10, pp. 1527-1533, 2010.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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