Segmenting consumers based on benefits and risks of internet shopping
Article Abstract:
An analytical model is developed to analyze the influence of perceived benefits and the two kinds of perceived risks of online shopping in forming consumer preferences for online shopping. It is shown that the two dimensions of risks vary with respect to the segment characteristics, which are based on their sensitivity to the benefits and risks of internet shopping.
Publication Name: Journal of Business Research
Subject: Business, general
ISSN: 0148-2963
Year: 2004
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Segmenting Internet shoppers based on their Web-usage-related lifestyle: A cross-cultural validation
Article Abstract:
The Internet shopper lifestyle scale was validated cross culturally by conducting online surveys in the United States and Belgium. The Web-usage-related lifestyle has profited four online shopping segments and four online non-shopping segments.
Publication Name: Journal of Business Research
Subject: Business, general
ISSN: 0148-2963
Year: 2005
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A dynamic nonlinear model of online retail competition using Cusp Catastrophe Theory
Article Abstract:
A catastrophe theory model is developed to study nonlinearity and dynamism associated with online retail competition.
Publication Name: Journal of Business Research
Subject: Business, general
ISSN: 0148-2963
Year: 2006
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