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The Intended and Actual Adoption of Online Purchasing: A Brief Review of Recent Literature

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  • Cao, XinYu
  • Mokhtarian, Patricia L

Abstract

The rapid growth of e-commerce is imposing profound impacts on modern society. On the supply side, the emergence of e-commerce is greatly changing the operation behavior of some retailers and is increasing product internationalization due to its geographically unlimited nature. On the demand side, the pervasiveness of e-commerce affects how, where, and when consumers shop, and indirectly influences the way in which we live our lives. However, the development of e-commerce is still in an early stage, and why consumers choose (or do not choose) online purchasing is far from being completely understood. To better evaluate and anticipate those profound impacts of e-commerce, therefore, it is important to further refine our understanding of consumers’ e-shopping behavior. A number of studies have investigated e-shopping behavior, and reviewing them is valuable for further improving our understanding. This report aims to summarize previous e-shopping research in a systematic way. In this review, we are interested primarily in the potential benefits and costs that the internet offers for the business-to-consumer segment of e-commerce in the transaction (purchase) channel. An overview of the 65 empirical studies analyzed in this report is provided in the Appendix. Most previous studies fall into one or more of several theoretical frameworks, including the theory of reasoned action, the theory of planned behavior, the technology acceptance model, transaction cost theory, innovation diffusion theory, and others. Among them, social psychological theories (the theory of reasoned action, the theory of planned behavior, the technology acceptance model) were widely applied. As shown in the applications of different theories, e-shopping behavior is not a simple decision process, and thus an integration of various theories is necessary to deal with its complexities. We suggest synthesizing these theories through the development of a comprehensive list of benefits and costs, u

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Bibliographic Info

Paper provided by Institute of Transportation Studies, UC Davis in its series Institute of Transportation Studies, Working Paper Series with number qt095934s0.

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Date of creation: 01 May 2005
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Handle: RePEc:cdl:itsdav:qt095934s0

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References

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  1. 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.
  2. Berry, Leonard L. & Parasuraman, A. & Zeithaml, Valarie A., 1988. "The service-quality puzzle," Business Horizons, Elsevier, vol. 31(5), pages 35-43.
  3. 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.
  4. Bhatnagar, Amit & Ghose, Sanjoy, 2004. "Segmenting consumers based on the benefits and risks of Internet shopping," Journal of Business Research, Elsevier, vol. 57(12), pages 1352-1360, December.
  5. Patricia Mokhtarian, 2004. "A conceptual analysis of the transportation impacts of B2C e-commerce," Transportation, Springer, vol. 31(3), pages 257-284, August.
  6. Forsythe, Sandra M. & Shi, Bo, 2003. "Consumer patronage and risk perceptions in Internet shopping," Journal of Business Research, Elsevier, vol. 56(11), pages 867-875, November.
  7. Van den Poel, Dirk & Buckinx, Wouter, 2005. "Predicting online-purchasing behaviour," European Journal of Operational Research, Elsevier, vol. 166(2), pages 557-575, October.
  8. Van den Poel, Dirk & Leunis, Joseph, 1999. "Consumer Acceptance of the Internet as a Channel of Distribution," Journal of Business Research, Elsevier, vol. 45(3), pages 249-256, July.
  9. Teo, Thompson S.H. & Yu, Yuanyou, 2005. "Online buying behavior: a transaction cost economics perspective," Omega, Elsevier, vol. 33(5), pages 451-465, October.
  10. Nelson, Phillip, 1970. "Information and Consumer Behavior," Journal of Political Economy, University of Chicago Press, vol. 78(2), pages 311-29, March-Apr.
  11. Choi, Jayoung & Geistfeld, Loren V., 2004. "A cross-cultural investigation of consumer e-shopping adoption," Journal of Economic Psychology, Elsevier, vol. 25(6), pages 821-838, December.
  12. Peterson, R.A. & Balasubramanian, S. & Bronnenberg, B.J.J.A.M., 1997. "Exploring the implications of the internet for consumer marketing," Open Access publications from Tilburg University urn:nbn:nl:ui:12-339976, Tilburg University.
  13. Teo, Thompson S. H. & Yeong, Yon Ding, 2003. "Assessing the consumer decision process in the digital marketplace," Omega, Elsevier, vol. 31(5), pages 349-363, October.
  14. Gefen, David & Straub, Detmar W., 2004. "Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services," Omega, Elsevier, vol. 32(6), pages 407-424, December.
  15. Gefen, David, 2000. "E-commerce: the role of familiarity and trust," Omega, Elsevier, vol. 28(6), pages 725-737, December.
  16. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
  17. Chen, Lei-Da & Tan, Justin, 2004. "Technology Adaptation in E-commerce:: Key Determinants of Virtual Stores Acceptance," European Management Journal, Elsevier, vol. 22(1), pages 74-86, February.
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Cited by:
  1. Tang, Wei & Mokhtarian, Patricia L, 2009. "Accounting for Taste Heterogeneity in Purchase Channel Intention Modeling: An Example from Northern California for Book Purchases," Institute of Transportation Studies, Working Paper Series qt3v25m8dc, Institute of Transportation Studies, UC Davis.
  2. Ory, David T & Mokhtarian, Patricia L, 2007. "Description of a Northern California Shopping Survey Data Collection Effort," Institute of Transportation Studies, Working Paper Series qt39w9w743, Institute of Transportation Studies, UC Davis.

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