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Who is more likely to initiate referrals? Effect of consumer's regulatory focus on referral intention

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  • Jin, Huijie
  • Lu, Shouwang
  • Wang, Kanliang

Abstract

Under the context of the online referral reward program (ORRP), this research explores the effect of consumers’ regulatory focus (promotion-focused vs. prevention-focused) on their referral intention and explores its mechanism and boundary condition. The results of four experiments show that compared to prevention-focused consumers, promotion-focused consumers have higher self-efficacy to complete the referral task; and thus, have higher referral intention. This effect will be attenuated when the social distance between inviters and invitees is small. The findings contribute to the research on ORRP and regulatory focus and provide guidance for firms to optimize ORRPs.

Suggested Citation

  • Jin, Huijie & Lu, Shouwang & Wang, Kanliang, 2024. "Who is more likely to initiate referrals? Effect of consumer's regulatory focus on referral intention," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    • Handle: RePEc:eee:joreco:v:77:y:2024:i:c:s0969698923004010
    DOI: 10.1016/j.jretconser.2023.103650
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    References listed on IDEAS

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    1. Lee, Angela Y. & Aaker, Jennifer L. & Gardner, Wendi L., 2000. "The Pleasures and Pains of Distinct Self-Construals: The Role of Interdependence in Regulatory Focus," Research Papers 1577r, Stanford University, Graduate School of Business.
    2. Kuester, Madlen & Benkenstein, Martin, 2014. "Turning dissatisfied into satisfied customers: How referral reward programs affect the referrer׳s attitude and loyalty toward the recommended service provider," Journal of Retailing and Consumer Services, Elsevier, vol. 21(6), pages 897-904.
    3. 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.
    4. De Bruyn, Arnaud & Lilien, Gary L., 2008. "A multi-stage model of word-of-mouth influence through viral marketing," International Journal of Research in Marketing, Elsevier, vol. 25(3), pages 151-163.
    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. Aaron M. Garvey & Frank Germann & Lisa E. Bolton, 2016. "Performance Brand Placebos: How Brands Improve Performance and Consumers Take the Credit," Journal of Consumer Research, Oxford University Press, vol. 42(6), pages 931-951.
    7. Ilan Lobel & Evan Sadler & Lav R. Varshney, 2017. "Customer Referral Incentives and Social Media," Management Science, INFORMS, vol. 63(10), pages 3514-3529, October.
    8. Di Kuang & Xiao-Fei Li & Wen-Wen Bi, 2021. "How to Effectively Design Referral Rewards to Increase the Referral Likelihood for Green Products," Sustainability, MDPI, vol. 13(13), pages 1-16, June.
    9. Higgins, E. Tory & Cornwell, James F.M., 2016. "Securing foundations and advancing frontiers: Prevention and promotion effects on judgment & decision making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 136(C), pages 56-67.
    10. Walsh, Gianfranco & Elsner, Ralf, 2012. "Improving referral management by quantifying market mavens’ word of mouth value," European Management Journal, Elsevier, vol. 30(1), pages 74-81.
    11. Lili Wang & Zoey Chen, 2022. "The effect of incentive structure on referral: the determining role of self-construal," Journal of the Academy of Marketing Science, Springer, vol. 50(5), pages 1091-1110, September.
    12. 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.
    13. Bandura, Albert, 1991. "Social cognitive theory of self-regulation," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 248-287, December.
    14. Wang, Xingyuan & Liu, Yun & Wang, Shuyang & Chen, Haipeng (Allan), 2022. "Keep it vague? New product preannouncement, regulatory focus, and word-of-mouth," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    15. Brown, Jacqueline Johnson & Reingen, Peter H, 1987. "Social Ties and Word-of-Mouth Referral Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(3), pages 350-362, December.
    16. Chien-Huang Lin & Ming Chen, 2019. "The icon matters: how design instability affects download intention of mobile apps under prevention and promotion motivations," Electronic Commerce Research, Springer, vol. 19(1), pages 211-229, March.
    17. 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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