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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.

Author: Bhatnagar, Amit, Ghose, Sanjoy
Publisher: Elsevier B.V.
Publication Name: Journal of Business Research
Subject: Business, general
ISSN: 0148-2963
Year: 2004
Risk (Economics), Consumer preferences

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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.

Author: Smith, Scott M., Swinyard, William R., Brengman, Malaika, Geuens, Maggie, Weijters, Bert
Publisher: Elsevier B.V.
Publication Name: Journal of Business Research
Subject: Business, general
ISSN: 0148-2963
Year: 2005
On-Line Information Services, Videotex & Teletext, Telegraph & other communications, Management dynamics, Management, Online services, Internet services, Life style, Lifestyles, Company business management, Cable television/data services, Mail surveys

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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.

Author: Ghose, Sanjoy, Dou, Wenyu
Publisher: Elsevier B.V.
Publication Name: Journal of Business Research
Subject: Business, general
ISSN: 0148-2963
Year: 2006
United States, Competitions, Catastrophes (Mathematics), Nonlinear networks, Online businesses

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Subjects list: Models, Forecasts and trends, Market trend/market analysis, Online shopping
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