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Exploring antecedents and consequence of online group-buying intention: An extended perspective on theory of planned behavior

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  • Cheng, Hsiu-Hua
  • Huang, Shih-Wei

Abstract

With the development of electronic commerce, many dotcom firms are selling products to consumers across different countries and regions. The managers of online group-buying firms seek to increase customer purchasing intentions in the face of competition. Online group-buying refers to a certain number of consumers who join together as a group via Internet, for the purpose of buying a certain product with a discount. This study explores antecedents of intention to participate in online group-buying and the relationship between intention and behavior. The research model is basaed on planned behavior theory, electronic word-of-mouth, network embeddedness, and website quality attitude. An online survey is administered to 373 registered members of the ihergo website. Data is analyzed using the partial least squares method, and analytical results demonstrate that for potential consumers, experiential electronic word-of-mouth, relational embeddedness of the initiator, and service quality attitude influence intention to engage in online group-buying; for current consumers, intention to attend online group-buying is determined by the structural and relational embeddedness of the initiator, system quality attitude positively affects intention, and intention positively affects online group-buying behavior. This study proposes a new classification of electronic word-of-mouth and applies the perspective of network embeddedness to explore antecedents of intention in online group-buying, broadening the applicability of electronic word-of-mouth and embeddedness theory. Finally, this study presents practical suggestions for managers of online group-buying firms in improving marketing efficiency.

Suggested Citation

  • Cheng, Hsiu-Hua & Huang, Shih-Wei, 2013. "Exploring antecedents and consequence of online group-buying intention: An extended perspective on theory of planned behavior," International Journal of Information Management, Elsevier, vol. 33(1), pages 185-198.
  • Handle: RePEc:eee:ininma:v:33:y:2013:i:1:p:185-198
    DOI: 10.1016/j.ijinfomgt.2012.09.003
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    as
    1. Ranjay Gulati, 1999. "Network location and learning: the influence of network resources and firm capabilities on alliance formation," Strategic Management Journal, Wiley Blackwell, vol. 20(5), pages 397-420, May.
    2. Tim Rowley & Dean Behrens & David Krackhardt, 2000. "Redundant governance structures: an analysis of structural and relational embeddedness in the steel and semiconductor industries," Strategic Management Journal, Wiley Blackwell, vol. 21(3), pages 369-386, March.
    3. Hansen, Torben & Møller Jensen, Jan & Stubbe Solgaard, Hans, 2004. "Predicting online grocery buying intention: a comparison of the theory of reasoned action and the theory of planned behavior," International Journal of Information Management, Elsevier, vol. 24(6), pages 539-550.
    4. Peter Moran, 2005. "Structural vs. relational embeddedness: social capital and managerial performance," Strategic Management Journal, Wiley Blackwell, vol. 26(12), pages 1129-1151, December.
    5. Duan, Wenjing & Gu, Bin & Whinston, Andrew B., 2008. "The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry," Journal of Retailing, Elsevier, vol. 84(2), pages 233-242.
    6. Dowling, Grahame R & Staelin, Richard, 1994. "A Model of Perceived Risk and Intended Risk-Handling Activity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 119-134, June.
    7. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    8. Bone, Paula Fitzgerald, 1995. "Word-of-mouth effects on short-term and long-term product judgments," Journal of Business Research, Elsevier, vol. 32(3), pages 213-223, March.
    9. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    10. Nelson, Phillip, 1970. "Information and Consumer Behavior," Journal of Political Economy, University of Chicago Press, vol. 78(2), pages 311-329, March-Apr.
    11. Petty, Richard E & Cacioppo, John T & Schumann, David, 1983. "Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(2), pages 135-146, September.
    12. Fagerstrøm, Asle & Ghinea, Gheorghita, 2011. "On the motivating impact of price and online recommendations at the point of online purchase," International Journal of Information Management, Elsevier, vol. 31(2), pages 103-110.
    13. Udo, Godwin J. & Bagchi, Kallol K. & Kirs, Peeter J., 2010. "An assessment of customers’ e-service quality perception, satisfaction and intention," International Journal of Information Management, Elsevier, vol. 30(6), pages 481-492.
    14. Vijay Mahajan & Eitan Muller & Roger A. Kerin, 1984. "Introduction Strategy for New Products with Positive and Negative Word-of-Mouth," Management Science, INFORMS, vol. 30(12), pages 1389-1404, December.
    15. Krishnan S. Anand & Ravi Aron, 2003. "Group Buying on the Web: A Comparison of Price-Discovery Mechanisms," Management Science, INFORMS, vol. 49(11), pages 1546-1562, November.
    16. Oliver, Richard L & Bearden, William O, 1985. "Crossover Effects in the Theory of Reasoned Action: A Moderating Influence Attempt," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 324-340, December.
    17. Chan, Kimmy Wa & Li, Stella Yiyan, 2010. "Understanding consumer-to-consumer interactions in virtual communities: The salience of reciprocity," Journal of Business Research, Elsevier, vol. 63(9-10), pages 1033-1040, September.
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    9. Mohammad Alamgir Hossain & Shahriar Akter & Shams Rahman, 2022. "Customer behavior of online group buying: an investigation using the transaction cost economics theory perspective," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1447-1461, September.
    10. Antonia Bralic & Mario Jadric & Maja Cukusic, 2014. "Factors Associated With Static-Price Online Group Buying," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 23(1), pages 65-84, june.
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