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Social Promotion: A Creative Promotional Framework on Consumers’ Social Network Value

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  • Haibing Gao
  • Huazhong Zhao
  • Yinliang (Ricky) Tan
  • Ya (Lisa) Lin
  • Lai Wei

Abstract

Red packets have symbolized happiness and good luck in Asian culture for centuries. An emerging number of online merchants in Asia are adopting social red packets as a promotion strategy. Social red packets not only digitalize traditional coupons to be readily transferred within consumer social networks but also can reallocate the promotional rewards based on consumers’ social network value rather than their personal value to the firm. In this study, we conceptualize social red packets as an implementation of the social promotion framework, where consumers with higher social network value receive better promotional rewards. Leveraging a unique dataset from an online retailing platform, our vector auto‐regression (VAR) analysis reveals that: (1) under the social red packet design, consumers with higher social network value (who are connected to more new consumers or frequent consumers) will enjoy better promotional rewards; and (2) in order to receive better promotion rewards, consumers under the social red packet design are encouraged to voluntarily enhance their social network value (e.g., by recruiting more new customers or cultivating more frequent consumers). Moreover, we identify several critical characteristics of focal consumers and their social networks that can moderate the effectiveness of social red packets. Our findings provide important managerial insights for online retailing platforms on how to design effective social promotion strategies.

Suggested Citation

  • Haibing Gao & Huazhong Zhao & Yinliang (Ricky) Tan & Ya (Lisa) Lin & Lai Wei, 2020. "Social Promotion: A Creative Promotional Framework on Consumers’ Social Network Value," Production and Operations Management, Production and Operations Management Society, vol. 29(12), pages 2661-2678, December.
  • Handle: RePEc:bla:popmgt:v:29:y:2020:i:12:p:2661-2678
    DOI: 10.1111/poms.13247
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    References listed on IDEAS

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    1. Upender Subramanian & Ram C. Rao, 2016. "Leveraging Experienced Consumers to Attract New Consumers: An Equilibrium Analysis of Displaying Deal Sales by Daily Deal Websites," Management Science, INFORMS, vol. 62(12), pages 3555-3575, December.
    2. Raghuram Iyengar & Christophe Van den Bulte & Jae Young Lee, 2015. "Social Contagion in New Product Trial and Repeat," Marketing Science, INFORMS, vol. 34(3), pages 408-429, May.
    3. Raghuram Iyengar & Christophe Van den Bulte & Thomas W. Valente, 2011. "Opinion Leadership and Social Contagion in New Product Diffusion," Marketing Science, INFORMS, vol. 30(2), pages 195-212, 03-04.
    4. Jan-Benedict E. M. Steenkamp & Vincent R. Nijs & Dominique M. Hanssens & Marnik G. Dekimpe, 2005. "Competitive Reactions to Advertising and Promotion Attacks," Marketing Science, INFORMS, vol. 24(1), pages 35-54, September.
    5. Nejad, Mohammad G. & Amini, Mehdi & Babakus, Emin, 2015. "Success Factors in Product Seeding: The Role of Homophily," Journal of Retailing, Elsevier, vol. 91(1), pages 68-88.
    6. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    7. Christophe Van den Bulte & Yogesh V. Joshi, 2007. "New Product Diffusion with Influentials and Imitators," Marketing Science, INFORMS, vol. 26(3), pages 400-421, 05-06.
    8. Xueming Luo, 2009. "Quantifying the Long-Term Impact of Negative Word of Mouth on Cash Flows and Stock Prices," Marketing Science, INFORMS, vol. 28(1), pages 148-165, 01-02.
    9. Lu (Lucy) Yan, 2018. "Good Intentions, Bad Outcomes: The Effects of Mismatches between Social Support and Health Outcomes in an Online Weight Loss Community," Production and Operations Management, Production and Operations Management Society, vol. 27(1), pages 9-27, January.
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    Cited by:

    1. Haibing Gao & Subodha Kumar & Yinliang (Ricky) Tan & Huazhong Zhao, 2022. "Socialize More, Pay Less: Randomized Field Experiments on Social Pricing," Information Systems Research, INFORMS, vol. 33(3), pages 935-953, September.

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