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Offline social interactions and online shopping demand: Does the degree of social interactions matter?

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  • Kim, Jeeyeon
  • Kim, Mingyung
  • Choi, Jeonghye
  • Trivedi, Minakshi

Abstract

Offline social interactions and online shopping each have been studied extensively. Despite the importance of each construct, little is known about the effects of offline social interactions on online shopping. This study examines three research questions: (1) how offline social interactions affect online shopping in general, (2) how active and passive offline social interactions exert different influences on online shopping, and (3) how online shopping preferences moderate the influences from the two types of offline social interactions. Our empirical analyses provide three substantive findings. First, overall offline social interactions have a positive impact on online shopping demand. Second, while active offline social interactions have a positive informational influence on online shopping demand, passive offline social interactions have a negative normative influence on it. Third, online shopping preferences weaken both the positive informational and negative normative influences from both of offline social interactions. We also discuss theoretical and managerial implications.

Suggested Citation

  • Kim, Jeeyeon & Kim, Mingyung & Choi, Jeonghye & Trivedi, Minakshi, 2019. "Offline social interactions and online shopping demand: Does the degree of social interactions matter?," Journal of Business Research, Elsevier, vol. 99(C), pages 373-381.
    • Handle: RePEc:eee:jbrese:v:99:y:2019:i:c:p:373-381
    DOI: 10.1016/j.jbusres.2017.09.022
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    as
    1. Jae Young Lee & David R. Bell, 2013. "Neighborhood Social Capital and Social Learning for Experience Attributes of Products," Marketing Science, INFORMS, vol. 32(6), pages 960-976, November.
    2. David Godes & Dina Mayzlin, 2009. "Firm-Created Word-of-Mouth Communication: Evidence from a Field Test," Marketing Science, INFORMS, vol. 28(4), pages 721-739, 07-08.
    3. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    4. Ray E. Reagans & Ezra W. Zuckerman, 2008. "Why knowledge does not equal power: the network redundancy trade-off," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 17(5), pages 903-944, October.
    5. Jurui Zhang & Yong Liu & Yubo Chen, 2015. "Social Learning in Networks of Friends versus Strangers," Marketing Science, INFORMS, vol. 34(4), pages 573-589, July.
    6. Puneet Manchanda & Grant Packard & Adithya Pattabhiramaiah, 2015. "Social Dollars: The Economic Impact of Customer Participation in a Firm-Sponsored Online Customer Community," Marketing Science, INFORMS, vol. 34(3), pages 367-387, May.
    7. C. Ranganathan & Sanjeev Jha, 2007. "Examining Online Purchase Intentions in B2C E-Commerce: Testing an Integrated Model," Information Resources Management Journal (IRMJ), IGI Global, vol. 20(4), pages 48-64, October.
    8. Bin Gu & Jaehong Park & Prabhudev Konana, 2012. "Research Note ---The Impact of External Word-of-Mouth Sources on Retailer Sales of High-Involvement Products," Information Systems Research, INFORMS, vol. 23(1), pages 182-196, March.
    9. Overby, Jeffrey W. & Lee, Eun-Ju, 2006. "The effects of utilitarian and hedonic online shopping value on consumer preference and intentions," Journal of Business Research, Elsevier, vol. 59(10-11), pages 1160-1166, October.
    10. Alexander Muk & Christina Chung & Jonghoon Kim, 2014. "Korean consumer perspectives on social media advertising and intention to join brand pages," Journal of Global Scholars of Marketing Science, Taylor & Francis Journals, vol. 24(4), pages 384-394, September.
    11. Herhausen, Dennis & Binder, Jochen & Schoegel, Marcus & Herrmann, Andreas, 2015. "Integrating Bricks with Clicks: Retailer-Level and Channel-Level Outcomes of Online–Offline Channel Integration," Journal of Retailing, Elsevier, vol. 91(2), pages 309-325.
    12. Anjana Susarla & Jeong-Ha Oh & Yong Tan, 2012. "Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube," Information Systems Research, INFORMS, vol. 23(1), pages 23-41, March.
    13. Chris Forman & Anindya Ghose & Avi Goldfarb, 2009. "Competition Between Local and Electronic Markets: How the Benefit of Buying Online Depends on Where You Live," Management Science, INFORMS, vol. 55(1), pages 47-57, January.
    14. Juran Kim, 2015. "Sustainability in social brand communities: influences on customer equity," Journal of Global Scholars of Marketing Science, Taylor & Francis Journals, vol. 25(3), pages 246-258, June.
    15. Montano, Daniel E. & Taplin, Stephen H., 1991. "A test of an expanded theory of reasoned action to predict mammography participation," Social Science & Medicine, Elsevier, vol. 32(6), pages 733-741, January.
    16. 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.
    17. Jeonghye Choi & David R. Bell & Leonard M. Lodish, 2012. "Traditional and IS-Enabled Customer Acquisition on the Internet," Management Science, INFORMS, vol. 58(4), pages 754-769, April.
    18. Seong-Yeon Park & Yeu-Jin Kang, 2013. "What's going on in SNS and social commerce?: Qualitative approaches to narcissism, impression management, and e-WOM behavior of consumers," Journal of Global Scholars of Marketing Science, Taylor & Francis Journals, vol. 23(4), pages 460-472, September.
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