DocumentCode :
1689946
Title :
Applying DeLone and McLean Information System Model to Online Consumer Behavior in China
Author :
Wang, Haiping ; Hu, Zhengming
Author_Institution :
Sch. of Stat. & Math., Shandong Univ. of Finance, Jinan, China
fYear :
2009
Firstpage :
74
Lastpage :
77
Abstract :
In order to examine whether DeLone and McLean information system (IS) model can be used in explaining online consumer behavior in China, a model is developed based on it from consumerpsilas perception perspective. Considering Chinese consumerpsilas risk-averse character, a risk factor is added. In empirical analysis, the university students are used as samples and structure equation modeling (SEM) is used as analysis method with SPSS15.0 and Lisrel8.70. Relationships between various factors in DeLone and McLean IS model and perceived risk are all verified except that between use intention and perceived net benefit. The findings show that our model can interpret Chinese consumerspsila online behavior. Finally the corresponding suggestions based on the findings are provided to the operation of retail Web sites.
Keywords :
Web sites; consumer behaviour; electronic commerce; information systems; retail data processing; risk analysis; China; DeLone information system model; Lisrel8.70; McLean information system model; SEM; SPSS15.0; consumer perception; consumer risk-averse character; electronic commerce; empirical analysis; online consumer behavior; retail Web site; risk factor; structure equation modeling; Conference management; Consumer behavior; Electronic government; Financial management; Information systems; Management information systems; Mathematical model; Psychology; Statistics; Uncertainty; DeLone and McLean IS model; online consuming; perceived risk; perceived website quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management of e-Commerce and e-Government, 2009. ICMECG '09. International Conference on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3778-8
Type :
conf
DOI :
10.1109/ICMeCG.2009.86
Filename :
5279868
Link To Document :
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