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The double-edged impact of social media on online trading: Opportunities, threats, and recommendations for organizations

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  • Bizzi, Lorenzo
  • Labban, Alice

Abstract

While we understand well how social media channels sway consumers, there is little understanding of their influence on online trading behavior. We argue that social media are creating a new class of self-directed online traders by simultaneously encouraging and biasing trading decisions. Through an empirical study, we show that heavy social media users are more likely to engage in online trading but are largely affected by online herding behavior, and are four times more likely to blindly follow other traders. Bloggers, influencers, social network contacts, and social media news shape these users’ online trading behaviors. As online traders influenced by social media are unlikely to receive adequate returns, companies face an ethical dilemma: They could leverage social media to efficiently access funds but they risk inappropriately exploiting the inexperience of online traders biased by social media. We offer a set of nine practical recommendations for organizations to respond to these new challenges.

Suggested Citation

  • Bizzi, Lorenzo & Labban, Alice, 2019. "The double-edged impact of social media on online trading: Opportunities, threats, and recommendations for organizations," Business Horizons, Elsevier, vol. 62(4), pages 509-519.
    • Handle: RePEc:eee:bushor:v:62:y:2019:i:4:p:509-519
    DOI: 10.1016/j.bushor.2019.03.003
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    1. David Garcia & Claudio Juan Tessone & Pavlin Mavrodiev & Nicolas Perony, 2014. "The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy," Papers 1408.1494, arXiv.org.
    2. Eun-Hee Kim & Yoo Na Youm, 2017. "How Do Social Media Affect Analyst Stock Recommendations? Evidence from S&P 500 Electric Power Companies' Twitter Accounts," Strategic Management Journal, Wiley Blackwell, vol. 38(13), pages 2599-2622, December.
    3. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    4. Mazboudi, Mohamad & Khalil, Samer, 2017. "The attenuation effect of social media: Evidence from acquisitions by large firms," Journal of Financial Stability, Elsevier, vol. 28(C), pages 115-124.
    5. Baucus, Melissa S. & Mitteness, Cheryl R., 2016. "Crowdfrauding: Avoiding Ponzi entrepreneurs when investing in new ventures," Business Horizons, Elsevier, vol. 59(1), pages 37-50.
    6. David Garcia & Claudio Tessone & Pavlin Mavrodiev & Nicolas Perony, "undated". "The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy," Working Papers ETH-RC-14-001, ETH Zurich, Chair of Systems Design.
    7. Kilduff, Martin, 1990. "The interpersonal structure of decision making: A social comparison approach to organizational choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 47(2), pages 270-288, December.
    8. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
    9. Kietzmann, Jan H. & Hermkens, Kristopher & McCarthy, Ian P. & Silvestre, Bruno S., 2011. "Social media? Get serious! Understanding the functional building blocks of social media," Business Horizons, Elsevier, vol. 54(3), pages 241-251, May.
    10. Daas, Piet J.H. & Puts, Marco J.H., 2014. "Social media sentiment and consumer confidence," Statistics Paper Series 5, European Central Bank.
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    6. Gil Cohen, 2022. "Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies," Mathematics, MDPI, vol. 10(18), pages 1-13, September.

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