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Segmenting Internet shoppers based on their Web-usage-related lifestyle: a cross-cultural validation


  • Brengman, Malaika
  • Geuens, Maggie
  • Weijters, Bert
  • Smith, Scott M.
  • Swinyard, William R.


Online surveys in the US and Belgium were conducted to cross-culturally validate the Internet shopper lifestyle scale (Smith and Swinyard, 2001). Special attention was devoted to sample, construct and measurement equivalence. In both countries, the same six basic dimensions were found to underlie the scale: Internet convenience, perceived self-inefficacy, Internet logistics, Internet distrust, Internet offer, and Internet window-shopping. Except from having the same basic meaning and structure in Belgium as in the US, the Web-usage-related-lifestyle scale also led to the same segments in both countries. Four online shopping segments (Tentative Shoppers, Suspicious Learners, Shopping Lovers and Business Users) and four online nonshopping segments (Fearful Browsers, Positive Technology Muddlers, Negative Technology Muddlers and Adventurous Browsers) are profiled with regard to their Web-usage-related lifestyle, themes of Internet Usage, Internet attitude, psychographic and demographic characteristics.
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Suggested Citation

  • Brengman, Malaika & Geuens, Maggie & Weijters, Bert & Smith, Scott M. & Swinyard, William R., 2005. "Segmenting Internet shoppers based on their Web-usage-related lifestyle: a cross-cultural validation," Journal of Business Research, Elsevier, vol. 58(1), pages 79-88, January.
  • Handle: RePEc:eee:jbrese:v:58:y:2005:i:1:p:79-88

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    References listed on IDEAS

    1. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
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    Cited by:

    1. Thøgersen, John, 2017. "Housing-related lifestyle and energy saving: A multi-level approach," Energy Policy, Elsevier, vol. 102(C), pages 73-87.
    2. Shweta Pandey & Deepak Chawla, 2016. "Impact of changing consumer lifestyles and website quality on online satisfaction and loyalty - an emerging market framework," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 12(1), pages 50-71.
    3. Ahlert, Dieter & Evanschitzky, Heiner & Thesing, Miriam, 2006. "Kundentypologie in der Multikanalwelt: Ergebnisse einer Online- und Offline-Befragung," Working Papers 44, University of Münster, Competence Center Internet Economy and Hybrid Systems, European Research Center for Information Systems (ERCIS).
    4. M. Geuens & D. Vantomme & G. Goessaert & B. Weijters, 2003. "Assessing the impact of offline URL advertising," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 03/163, Ghent University, Faculty of Economics and Business Administration.
    5. repec:eee:transa:v:107:y:2018:i:c:p:166-186 is not listed on IDEAS
    6. Pradip Swarnakar & Ajay Kumar & Sanjay Kumar, 2016. "Why generation Y prefers online shopping: a study of young customers of India," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 2(3), pages 215-232.
    7. Rotem-Mindali, Orit, 2010. "E-tail versus retail: The effects on shopping related travel empirical evidence from Israel," Transport Policy, Elsevier, vol. 17(5), pages 312-322, September.
    8. Banerjee, Arindam & Banerjee, Tanushri, 2016. "Web Content Analysis of Online Grocery Shopping Web Sites in India," IIMA Working Papers WP2016-03-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
    9. Pérez-Hernández, Javier & Sánchez-Mangas, Rocío, 2011. "To have or not to have Internet at home: Implications for online shopping," Information Economics and Policy, Elsevier, vol. 23(3), pages 213-226.

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