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The impact of monetary rewards on product sales in referral programs: The role of product image aesthetics

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  • Wang, Xia
  • Ding, Ying

Abstract

Monetary rewards are widely used in marketing practice to encourage referral behaviors and boost sales. To understand the effectiveness of monetary rewards in different contexts, this study examines how and why product image aesthetics moderate the relationship between monetary rewards and product sales in referral programs. The authors first analyzed a dataset obtained from a large e-commerce platform and calculated product image aesthetics using a computational approach. The results reveal that larger monetary rewards will lead to higher product sales in referral programs, and this effect will be attenuated or even reversed as product image aesthetics increase. Subsequently, the authors conducted a well-controlled laboratory experiment to replicate the documented effect and further validate extrinsic and intrinsic motivation as the underlying mechanisms. These findings extend the extant literature on referral programs by determining the importance of visual presentation of products and providing meaningful managerial implications.

Suggested Citation

  • Wang, Xia & Ding, Ying, 2022. "The impact of monetary rewards on product sales in referral programs: The role of product image aesthetics," Journal of Business Research, Elsevier, vol. 145(C), pages 828-842.
  • Handle: RePEc:eee:jbrese:v:145:y:2022:i:c:p:828-842
    DOI: 10.1016/j.jbusres.2022.03.052
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    References listed on IDEAS

    as
    1. De Angelis, Matteo & Tassiello, Vito & Amatulli, Cesare & Costabile, Michele, 2017. "How language abstractness affects service referral persuasiveness," Journal of Business Research, Elsevier, vol. 72(C), pages 119-126.
    2. Laura J. Kornish & Qiuping Li, 2010. "Optimal Referral Bonuses with Asymmetric Information: Firm-Offered and Interpersonal Incentives," Marketing Science, INFORMS, vol. 29(1), pages 108-121, 01-02.
    3. Oliver J. Rutz & George F. Watson, 2019. "Endogeneity and marketing strategy research: an overview," Journal of the Academy of Marketing Science, Springer, vol. 47(3), pages 479-498, May.
    4. Alfakhri, Demah & Harness, D. & Nicholson, John & Harness, Tina, 2018. "The role of aesthetics and design in hotelscape: A phenomenological investigation of cosmopolitan consumers," Journal of Business Research, Elsevier, vol. 85(C), pages 523-531.
    5. Jaehwuen Jung & Ravi Bapna & Joseph M. Golden & Tianshu Sun, 2020. "Words Matter! Toward a Prosocial Call-to-Action for Online Referral: Evidence from Two Field Experiments," Information Systems Research, INFORMS, vol. 31(1), pages 16-36, March.
    6. Jordan Etkin, 2016. "The Hidden Cost of Personal Quantification," Journal of Consumer Research, Oxford University Press, vol. 42(6), pages 967-984.
    7. Kniazev K.A. & Komarov M.M., 2016. "Infological models for smart commerce," Бизнес-информатика, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», issue 4 (38), pages 19-26.
    8. Anindya Ghose & Arun Sundararajan, 2006. "Evaluating Pricing Strategy Using e-Commerce Data: Evidence and Estimation Challenges," Papers math/0609170, arXiv.org.
    9. Sungho Park & Sachin Gupta, 2012. "Handling Endogenous Regressors by Joint Estimation Using Copulas," Marketing Science, INFORMS, vol. 31(4), pages 567-586, July.
    10. David B. Dose & Gianfranco Walsh & Sharon E. Beatty & Ralf Elsner, 2019. "Unintended reward costs: the effectiveness of customer referral reward programs for innovative products and services," Journal of the Academy of Marketing Science, Springer, vol. 47(3), pages 438-459, May.
    11. Grinstein, Amir & Hagtvedt, Henrik & Kronrod, Ann, 2019. "Aesthetically (dis)pleasing visuals: A dual pathway to empathy and prosocial behavior," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 83-99.
    12. Haoxiong Yang & Jindan Li & Jing Wang & Xinjian Du, 2016. "Shortage of logistics for e-commerce in holiday," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 15(1), pages 90-98.
    13. Büttner, Thiess, 2016. "Commercial Land Use and Interjurisdictional Competition," VfS Annual Conference 2016 (Augsburg): Demographic Change 145955, Verein für Socialpolitik / German Economic Association.
    14. Erik Brynjolfsson & Yu (Jeffrey) Hu & Duncan Simester, 2011. "Goodbye Pareto Principle, Hello Long Tail: The Effect of Search Costs on the Concentration of Product Sales," Management Science, INFORMS, vol. 57(8), pages 1373-1386, August.
    15. Colleen M. Harmeling & Jordan W. Moffett & Mark J. Arnold & Brad D. Carlson, 2017. "Toward a theory of customer engagement marketing," Journal of the Academy of Marketing Science, Springer, vol. 45(3), pages 312-335, May.
    16. Nanne, Annemarie J. & Antheunis, Marjolijn L. & van der Lee, Chris G. & Postma, Eric O. & Wubben, Sander & van Noort, Guda, 2020. "The Use of Computer Vision to Analyze Brand-Related User Generated Image Content," Journal of Interactive Marketing, Elsevier, vol. 50(C), pages 156-167.
    17. Deloitte, 2016. "Economic Analysis of VAT Aspects of e-Commerce," Taxation Studies 0067, Directorate General Taxation and Customs Union, European Commission.
    18. Kim, Minjeong, 2019. "Digital product presentation, information processing, need for cognition and behavioral intent in digital commerce," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 362-370.
    19. Castagna, Ana Carina & Pinto, Diego Costa & Mattila, Anna & de Barcellos, Marcia Dutra, 2021. "Beauty-is-good, ugly-is-risky: Food aesthetics bias and construal level," Journal of Business Research, Elsevier, vol. 135(C), pages 633-643.
    20. Claudia Townsend & Sanjay Sood, 2012. "Self-Affirmation through the Choice of Highly Aesthetic Products," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(2), pages 415-428.
    21. Bloch, Peter H & Brunel, Frederic F & Arnold, Todd J, 2003. "Individual Differences in the Centrality of Visual Product Aesthetics: Concept and Measurement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 29(4), pages 551-565, March.
    22. Heike M. Wolters & Christian Schulze & Karen Gedenk, 2020. "Referral Reward Size and New Customer Profitability," Marketing Science, INFORMS, vol. 39(6), pages 1166-1180, November.
    23. Reimer, Thomas & Benkenstein, Martin, 2018. "Not just for the recommender: How eWOM incentives influence the recommendation audience," Journal of Business Research, Elsevier, vol. 86(C), pages 11-21.
    24. Henrik Hagtvedt & S. Adam Brasel, 2017. "Color Saturation Increases Perceived Product Size," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(2), pages 396-413.
    25. Yoo, Jungmin & Kim, Minjeong, 2014. "The effects of online product presentation on consumer responses: A mental imagery perspective," Journal of Business Research, Elsevier, vol. 67(11), pages 2464-2472.
    26. Jin, Liyin & Huang, Yunhui, 2014. "When giving money does not work: The differential effects of monetary versus in-kind rewards in referral reward programs," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 107-116.
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