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Social media use and consumer shopping preferences

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  • Vithayathil, Joseph
  • Dadgar, Majid
  • Osiri, J. Kalu

Abstract

We empirically explore the associations between social media use at home and shopping preferences using survey data. We focus on popular retail firms including brick-and-mortar firms such as Walmart, Target, Nordstrom, and Best Buy, and online retailers, such as Amazon, Walmart, Target, and Best Buy. Social media use of popular platforms such as Facebook, Twitter, LinkedIn, Skype and a general category Other Social Media are analyzed. We find that use of LinkedIn, Skype and Other Social Media at home, in the model without control variables, is associated with shopping at Nordstrom, Walmart and Target. Shopping online at Amazon, Best Buy and Walmart, without control variables in the model specification, is associated with use of Facebook, Skype, Twitter and Other Social Media at home. We report additional insights using an alternative specification that includes social media use at work. Media Richness Theory (MRT) and Strength of Weak Ties from Social Network Analysis (SNA) and related theories help explain our results. Our results have important implications for social marketing campaigns and social media policies for consumer retail firms.

Suggested Citation

  • Vithayathil, Joseph & Dadgar, Majid & Osiri, J. Kalu, 2020. "Social media use and consumer shopping preferences," International Journal of Information Management, Elsevier, vol. 54(C).
    • Handle: RePEc:eee:ininma:v:54:y:2020:i:c:s0268401219314446
    DOI: 10.1016/j.ijinfomgt.2020.102117
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    Cited by:

    1. Onofrei, George & Filieri, Raffaele & Kennedy, Lorraine, 2022. "Social media interactions, purchase intention, and behavioural engagement: The mediating role of source and content factors," Journal of Business Research, Elsevier, vol. 142(C), pages 100-112.
    2. Johan Hellemans & Kim Willems & Malaika Brengman, 2023. "Covid-19 and mobile payment in Belgium: Closing the digital divide or just for the young, social, and impulsive?," Electronic Commerce Research, Springer, vol. 23(3), pages 1539-1564, September.
    3. Zhen-Yu Chen & Xin-Li Liu & Li-Ping Yin, 2023. "Data-driven product configuration improvement and product line restructuring with text mining and multitask learning," Journal of Intelligent Manufacturing, Springer, vol. 34(4), pages 2043-2059, April.
    4. Ethan, Amelia, 2023. "The Effects of Social Media Marketing on Customer’s Purchase Intention; a Moderated Mediation Model from Apparel Industry of Pakistan," OSF Preprints 4dv2s, Center for Open Science.

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