Website attributes that increase consumer purchase intention: A conjoint analysis

被引:165
|
作者
Chen, Ying-Hueih [2 ]
Hsu, I-Chieh [1 ]
Lin, Chia-Chen [2 ]
机构
[1] Natl Changhua Univ Educ, Dept Business Adm, Changhua 500, Taiwan
[2] Providence Univ, Dept Comp Sci & Informat Management, Taichung, Taiwan
关键词
Online purchase intention; Technology factors; Shopping factors; Product factors; Conjoint analysis; Test platform; E-COMMERCE; WEB SITES; TRUST; MODEL; SATISFACTION; ACCEPTANCE; PRODUCTS; QUALITY; PRIVACY; DESIGN;
D O I
10.1016/j.jbusres.2009.01.023
中图分类号
F [经济];
学科分类号
02 ;
摘要
Prior studies investigate factors that affect consumer preferences in online shopping websites. However, prior studies, due to their methodological limitations, do not thoroughly investigate consumer preference structures that reflect the relative importance of attributes and features of shopping websites. By synthesizing prior literature, this research proposes and investigates a comprehensive list of attributes and features of shopping websites that increase consumer purchase intention. This research used IT-based platforms for data collection, and collected data from university students. Data analysis enabled us to categorize consumers that use online shopping websites into three groups based on the attributes they prefer. Consumers with different levels of computer expertise also showed differing preference structures. This research has implications in both research and practice. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:1007 / 1014
页数:8
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