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How do likes influence revenue? A randomized controlled field experiment

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  • Grahl, Jörn
  • Hinz, Oliver
  • Rothlauf, Franz
  • Abdel-Karim, Benjamin M.
  • Mihale-Wilson, Cristina

Abstract

This article presents a randomized controlled field experiment to study the influence of likes on revenue. The results indicate that likes can have a substantial positive impact on revenue, but this effect is moderated by the time of the shopping visits. Likes are mainly effective during non-work time (evenings or weekends) when people may have more time to consider additional information. During non-work hours, the control group (without likes) spent 9,293.40 Euro while the treatment group (who observed likes) spent 11,241.71 Euro. Overall, we estimate the value of a like during non-work hours at .14 % of the focal store’s average product price. We also find that likes benefit most the already popular products. The positive effect of likes during non-work hours is mainly driven by an increased propensity to buy (i.e., conversion). We do not observe significant changes in the money spent once the buying decision has been made.

Suggested Citation

  • Grahl, Jörn & Hinz, Oliver & Rothlauf, Franz & Abdel-Karim, Benjamin M. & Mihale-Wilson, Cristina, 2023. "How do likes influence revenue? A randomized controlled field experiment," Journal of Business Research, Elsevier, vol. 167(C).
    • Handle: RePEc:eee:jbrese:v:167:y:2023:i:c:s0148296323004927
    DOI: 10.1016/j.jbusres.2023.114133
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    1. Imai, Kosuke & Keele, Luke & Tingley, Dustin & Yamamoto, Teppei, 2011. "Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies," American Political Science Review, Cambridge University Press, vol. 105(4), pages 765-789, November.
    2. Babin, Barry J & Darden, William R & Griffin, Mitch, 1994. "Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(4), pages 644-656, March.
    3. Fischer, Eileen & Arnold, Stephen J, 1990. "More than a Labor of Love: Gender Roles and Christmas Gift Shopping," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(3), pages 333-345, December.
    4. Hinz, Oliver & Eckert, Jochen & Skiera, Bernd, 2011. "Drivers of the Long Tail Phenomenon: An Empirical Analysis," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 56544, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Xitong Li & Jörn Grahl & Oliver Hinz, 2022. "How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment," Information Systems Research, INFORMS, vol. 33(2), pages 620-637, June.
    6. Meek, Stephanie & Wilk, Violetta & Lambert, Claire, 2021. "A big data exploration of the informational and normative influences on the helpfulness of online restaurant reviews," Journal of Business Research, Elsevier, vol. 125(C), pages 354-367.
    7. Hajli, Nick & Sims, Julian & Zadeh, Arash H. & Richard, Marie-Odile, 2017. "A social commerce investigation of the role of trust in a social networking site on purchase intentions," Journal of Business Research, Elsevier, vol. 71(C), pages 133-141.
    8. Hongbin Cai & Yuyu Chen & Hanming Fang, 2009. "Observational Learning: Evidence from a Randomized Natural Field Experiment," American Economic Review, American Economic Association, vol. 99(3), pages 864-882, June.
    9. Huang, Xun (Irene) & Dong, Ping & Labroo, Aparna A., 2018. "Feeling disconnected from others: The effects of ambient darkness on hedonic choice," International Journal of Research in Marketing, Elsevier, vol. 35(1), pages 144-153.
    10. Chatterjee, Sheshadri & Kumar Kar, Arpan, 2020. "Why do small and medium enterprises use social media marketing and what is the impact: Empirical insights from India," International Journal of Information Management, Elsevier, vol. 53(C).
    11. Jacoby, Jacob & Szybillo, George J & Berning, Carol Kohn, 1976. "Time and Consumer Behavior: An Interdisciplinary Overview," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(4), pages 320-339, March.
    12. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    13. Chris Forman & Anindya Ghose & Batia Wiesenfeld, 2008. "Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets," Information Systems Research, INFORMS, vol. 19(3), pages 291-313, September.
    14. Arts, Joep W.C. & Frambach, Ruud T. & Bijmolt, Tammo H.A., 2011. "Generalizations on consumer innovation adoption: A meta-analysis on drivers of intention and behavior," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 134-144.
    15. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    16. Evanschitzky, Heiner & Emrich, Oliver & Sangtani, Vinita & Ackfeldt, Anna-Lena & Reynolds, Kristy E. & Arnold, Mark J., 2014. "Hedonic shopping motivations in collectivistic and individualistic consumer cultures," International Journal of Research in Marketing, Elsevier, vol. 31(3), pages 335-338.
    17. Catherine Tucker & Juanjuan Zhang, 2011. "How Does Popularity Information Affect Choices? A Field Experiment," Management Science, INFORMS, vol. 57(5), pages 828-842, May.
    18. Philip O'Reilly & Patrick Finnegan, 2010. "Intermediaries in inter-organisational networks: building a theory of electronic marketplace performance," European Journal of Information Systems, Taylor & Francis Journals, vol. 19(4), pages 462-480, August.
    19. Donthu, Naveen & Kumar, Satish & Pandey, Neeraj & Pandey, Nitesh & Mishra, Akanksha, 2021. "Mapping the electronic word-of-mouth (eWOM) research: A systematic review and bibliometric analysis," Journal of Business Research, Elsevier, vol. 135(C), pages 758-773.
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