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Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics

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  • Sarv Devaraj
  • Ming Fan
  • Rajiv Kohli

Abstract

Although electronic commerce (EC) has created new opportunities for businesses as well as consumers, questions about consumer attitudes toward Business-to-Consumer (B2C) e-commerce vis-à-vis the conventional shopping channels continue to persist. This paper reports results of a study that measured consumer satisfaction with the EC channel through constructs prescribed by three established frameworks, namely the Technology Acceptance Model (TAM), Transaction Cost Analysis (TCA), and Service Quality (SERVQUAL). Subjects purchased similar products through conventional as well as EC channels and reported their experiences in a survey after each transaction. Using constructs from the three frameworks, a model was constructed and tested to examine the determinants of the EC channel satisfaction and preference using the survey data.Structural equation model analyses indicate that metrics tested through each model provide a statistically significant explanation of the variation in the EC consumers' satisfaction and channel preference. The study found that TAM components—perceived ease of use and usefulness—are important in forming consumer attitudes and satisfaction with the EC channel. Ease of use also was found to be a signi.cant determinant of satisfaction in TCA. The study found empirical support for the assurance dimension of SERVQUAL as determinant in EC channel satisfaction. Further, the study also found general support for consumer satisfaction as a determinant of channel preference.

Suggested Citation

  • Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
  • Handle: RePEc:inm:orisre:v:13:y:2002:i:3:p:316-333
    DOI: 10.1287/isre.13.3.316.77
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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. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    3. Dellaert, B.G.C. & Arentze, T. & Bierlaire, M. & Borgers, A. & Timmermans, H.J.P., 1997. "Investigating consumers' tendency to combine multiple shopping purposes and destinations," Discussion Paper 1997-94, Tilburg University, Center for Economic Research.
    4. Shelanski, Howard A & Klein, Peter G, 1995. "Empirical Research in Transaction Cost Economics: A Review and Assessment," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 11(2), pages 335-361, October.
    5. N. Venkatraman, 1989. "Strategic Orientation of Business Enterprises: The Construct, Dimensionality, and Measurement," Management Science, INFORMS, vol. 35(8), pages 942-962, August.
    6. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    7. Yim, Chi Kin & Kannan, P. K., 1999. "Consumer Behavioral Loyalty:: A Segmentation Model and Analysis," Journal of Business Research, Elsevier, vol. 44(2), pages 75-92, February.
    8. 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.
    9. Wanda J. Orlikowski & C. Suzanne Iacono, 2001. "Research Commentary: Desperately Seeking the “IT” in IT Research—A Call to Theorizing the IT Artifact," Information Systems Research, INFORMS, vol. 12(2), pages 121-134, June.
    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. Erik Brynjolfsson & Michael D. Smith, 2000. "Frictionless Commerce? A Comparison of Internet and Conventional Retailers," Management Science, INFORMS, vol. 46(4), pages 563-585, April.
    12. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    13. Masten, Scott E & Meehan, James W, Jr & Snyder, Edward A, 1991. "The Costs of Organization," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 7(1), pages 1-25, Spring.
    14. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    15. Hasbrouck, Joel, 1993. "Assessing the Quality of a Security Market: A New Approach to Transaction-Cost Measurement," The Review of Financial Studies, Society for Financial Studies, vol. 6(1), pages 191-212.
    16. Berkowitz, Stephen A & Logue, Dennis E & Noser, Eugene A, Jr, 1988. " The Total Cost of Transactions on the NYSE," Journal of Finance, American Finance Association, vol. 43(1), pages 97-112, March.
    17. Butler, Patrick & Peppard, Joe, 1998. "Consumer purchasing on the Internet:: Processes and prospects," European Management Journal, Elsevier, vol. 16(5), pages 600-610, October.
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