Predicting Consumer Repurchase Intentions to Shop Online

被引：19

作者：

Lin, Chwen-Yea ^{[1
,2
]}

Fang, Kwoting ^{[1
]}

Tu, Chien-Chung ^{[3
]}

机构：

[1] Natl Yunlin Univ Sci & Technol, Informat Management, Douliou City, Taiwan

[2] Tatung Inst Commerce & Technol, Informat Management, Chiayi, Taiwan

[3] Transworld Inst Technol, Informat Management, Douliou City, Taiwan

来源：

JOURNAL OF COMPUTERS | 2010年 / 5卷 / 10期

关键词：

Flow theory; intention to return; Technology acceptance model;

D O I：

10.4304/jcp.5.10.1527-1533

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：1527 / 1533

页数：7

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