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Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior

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  • Marios Koufaris

    (Zicklin School of Business, Baruch College, CUNY, 55 Lexington Avenue, Box B11-220, New York, New York 10010)

Abstract

In this study, we consider the online consumer as both a shopper and a computer user. We test constructs from information systems (Technology Acceptance Model), marketing (Consumer Behavior), and psychology (Flow and Environmental Psychology) in an integrated theoretical framework of online consumer behavior. Specifically, we examine how emotional and cognitive responses to visiting a Web-based store for the first time can influence online consumers' intention to return and their likelihood to make unplanned purchases. The instrumentation shows reasonably good measurement properties and the constructs are validated as a nomological network.A questionnaire-based empirical study is used to test this nomological network. Results confirm the double identity of the online consumer as a shopper and a computer user because both shopping enjoyment and perceived usefulness of the site strongly predict intention to return. Our results on unplanned purchases are not conclusive. We also test some individual and Web site factors that can affect the consumer's emotional and cognitive responses. Product involvement, Web skills, challenges, and use of value-added search mechanisms all have a significant impact on the Web consumer. The study provides a more rounded, albeit partial, view of the online consumer and is a significant steptowards a better understanding of consumer behavior on the Web. The validated metrics should be of use to researchers and practitioners alike.

Suggested Citation

  • Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    • Handle: RePEc:inm:orisre:v:13:y:2002:i:2:p:205-223
    DOI: 10.1287/isre.13.2.205.83
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    1. Detmar Straub & Moez Limayem & Elena Karahanna-Evaristo, 1995. "Measuring System Usage: Implications for IS Theory Testing," Management Science, INFORMS, vol. 41(8), pages 1328-1342, August.
    2. Burke, Raymond R, et al, 1992. "Comparing Dynamic Consumer Choice in Real and Computer-Simulated Environments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(1), pages 71-82, June.
    3. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    4. Eighmey, John & McCord, Lola, 1998. "Adding Value in the Information Age: Uses and Gratifications of Sites on the World Wide Web," Journal of Business Research, Elsevier, vol. 41(3), pages 187-194, March.
    5. Greenwald, Anthony G & Leavitt, Clark, 1984. "Audience Involvement in Advertising: Four Levels," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(1), pages 581-592, June.
    6. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    7. J. Yannis Bakos, 1997. "Reducing Buyer Search Costs: Implications for Electronic Marketplaces," Management Science, INFORMS, vol. 43(12), pages 1676-1692, December.
    8. George M. Marakas & Mun Y. Yi & Richard D. Johnson, 1998. "The Multilevel and Multifaceted Character of Computer Self-Efficacy: Toward Clarification of the Construct and an Integrative Framework for Research," Information Systems Research, INFORMS, vol. 9(2), pages 126-163, June.
    9. 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.
    10. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    11. Zaichkowsky, Judith Lynne, 1985. "Measuring the Involvement Construct," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 341-352, December.
    12. Detmar W. Straub & Richard T. Watson, 2001. "Research Commentary: Transformational Issues in Researching IS and Net-Enabled Organizations," Information Systems Research, INFORMS, vol. 12(4), pages 337-345, December.
    13. Berthon, Pierre & Pitt, Leyland F. & Watson, Richard T., 1996. "The World Wide Web As An Advertising Medium:," Journal of Advertising Research, Cambridge University Press, vol. 36(1), pages 43-54, January.
    14. Rook, Dennis W, 1987. "The Buying Impulse," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(2), pages 189-199, September.
    15. Inman, J Jeffrey & McAlister, Leigh & Hoyer, Wayne D, 1990. "Promotion Signal: Proxy for a Price Cut?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(1), pages 74-81, June.
    16. Bloch, Peter H & Sherrell, Daniel L & Ridgway, Nancy M, 1986. "Consumer Search: An Extended Framework," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(1), pages 119-126, June.
    17. Bernadette Szajna, 1996. "Empirical Evaluation of the Revised Technology Acceptance Model," Management Science, INFORMS, vol. 42(1), pages 85-92, January.
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