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How Task-Facilitative Interactive Tools Foster Buyers’ Trust in Online Retailers: A Process View of Trust Development in the Electronic Marketplace

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  • Gupta, Pranjal
  • Yadav, Manjit S.
  • Varadarajan, Rajan

Abstract

While there is a sustained interest in research focusing on issues relating to trust development in the electronic marketplace, significant gaps remain in the literature. In particular, little is known of the underlying processes that may be occurring in online trust development. For example, research suggests that factors such as site design and navigability are among the factors that impact trust perceptions. Extant literature, however, is largely silent about why certain trust-related effects are observed in online environments. In this paper, we propose a new process-centric perspective for understanding the formation of online trust—through buyer's assessment of the e-retailer's assistive intent, implicitly embedded in task-facilitative interactive tools. Specifically, we develop and test a model delineating the relationship between seller's provision of interactive product information management and product information comprehension tools, buyer's perceptions of seller's assistive intent, and buyer's initial trust in the seller. The results of two studies provide support for the trust-enhancing effects of task-facilitative informational tools and the mediating role of buyer's perceptions of seller's assistive intent. Importantly, these effects occur without any explicit expressions of seller's intentions. The results also suggest that the efficacy of interactive informational tools in engendering perceptions of seller's assistive intent, and hence trust, varies with the buyer's level of involvement with and knowledge of the product category.

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  • Gupta, Pranjal & Yadav, Manjit S. & Varadarajan, Rajan, 2009. "How Task-Facilitative Interactive Tools Foster Buyers’ Trust in Online Retailers: A Process View of Trust Development in the Electronic Marketplace," Journal of Retailing, Elsevier, vol. 85(2), pages 159-176.
    • Handle: RePEc:eee:jouret:v:85:y:2009:i:2:p:159-176
    DOI: 10.1016/j.jretai.2009.02.001
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    1. Punj, Girish N & Staelin, Richard, 1983. "A Model of Consumer Information Search Behavior for New Automobiles," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(4), pages 366-380, March.
    2. Donald L. Ferrin & Kurt T. Dirks, 2003. "The Use of Rewards to Increase and Decrease Trust: Mediating Processes and Differential Effects," Organization Science, INFORMS, vol. 14(1), pages 18-31, February.
    3. John Hulland, 1999. "Use of partial least squares (PLS) in strategic management research: a review of four recent studies," Strategic Management Journal, Wiley Blackwell, vol. 20(2), pages 195-204, February.
    4. Moorthy, Sridhar & Ratchford, Brian T & Talukdar, Debabrata, 1997. "Consumer Information Search Revisited: Theory and Empirical Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(4), pages 263-277, March.
    5. Maheswaran, Durairaj & Sternthal, Brian, 1990. "The Effects of Knowledge, Motivation, and Type of Message on Ad Processing and Product Judgments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(1), pages 66-73, June.
    6. Brucks, Merrie, 1985. "The Effects of Product Class Knowledge on Information Search Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(1), pages 1-16, June.
    7. Sujan, Mita, 1985. "Consumer Knowledge: Effects on Evaluation Strategies Mediating Consumer Judgments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(1), pages 31-46, June.
    8. John G. Lynch , Jr. & Dan Ariely, 2000. "Wine Online: Search Costs Affect Competition on Price, Quality, and Distribution," Marketing Science, INFORMS, vol. 19(1), pages 83-103, April.
    9. Peterson, Robert A, 2001. "On the Use of College Students in Social Science Research: Insights from a Second-Order Meta-analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(3), pages 450-461, December.
    10. Ariely, Dan, 2000. "Controlling the Information Flow: Effects on Consumers' Decision Making and Preferences," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(2), pages 233-248, September.
    11. Mitchell, Andrew A & Dacin, Peter A, 1996. "The Assessment of Alternative Measures of Consumer Expertise," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(3), pages 219-239, December.
    12. Alba, Joseph W & Hutchinson, J Wesley, 1987. "Dimensions of Consumer Expertise," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(4), pages 411-454, March.
    13. Srinivasan, Narasimhan & Ratchford, Brian T, 1991. "An Empirical Test of a Model of External Search for Automobiles," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(2), pages 233-242, September.
    14. Gerald Häubl & Valerie Trifts, 2000. "Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids," Marketing Science, INFORMS, vol. 19(1), pages 4-21, May.
    Full references (including those not matched with items on IDEAS)

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