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Network-based Referral Mechanism in a Crowdfunding-based Marketing Pattern

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  • Yongli Li
  • Zhi-Ping Fan
  • Wei Zhang

Abstract

Crowdfunding is gradually becoming a modern marketing pattern. By noting that the success of crowdfunding depends on network externalities, our research aims to utilize them to provide an applicable referral mechanism in a crowdfunding-based marketing pattern. In the context of network externalities, measuring the value of leading customers is chosen as the key to coping with the research problem by considering that leading customers take a critical stance in forming a referral network. Accordingly, two sequential-move game models (i.e., basic model and extended model) were established to measure the value of leading customers, and a skill of matrix transformation was adopted to solve the model by transforming a complicated multi-sequence game into a simple simultaneous-move game. Based on the defined value of leading customers, a network-based referral mechanism was proposed by exploring exactly how many awards are allocated along the customer sequence to encourage the leading customers' actions of successful recommendation and by demonstrating two general rules of awarding the referrals in our model setting. Moreover, the proposed solution approach helps deepen an understanding of the effect of the leading position, which is meaningful for designing more numerous referral approaches.

Suggested Citation

  • Yongli Li & Zhi-Ping Fan & Wei Zhang, 2018. "Network-based Referral Mechanism in a Crowdfunding-based Marketing Pattern," Papers 1808.03070, arXiv.org.
  • Handle: RePEc:arx:papers:1808.03070
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    1. Junhong Chu & Puneet Manchanda, 2016. "Quantifying Cross and Direct Network Effects in Online Consumer-to-Consumer Platforms," Marketing Science, INFORMS, vol. 35(6), pages 870-893, November.
    2. Gordon Burtch & Anindya Ghose & Sunil Wattal, 2013. "An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets," Information Systems Research, INFORMS, vol. 24(3), pages 499-519, September.
    3. Alan Tomczak & Alexander Brem, 2013. "A conceptualized investment model of crowdfunding," Venture Capital, Taylor & Francis Journals, vol. 15(4), pages 335-359, October.
    4. Shin, Euncheol, 2017. "Monopoly pricing and diffusion of social network goods," Games and Economic Behavior, Elsevier, vol. 102(C), pages 162-178.
    5. Ronald Klingebiel & John Joseph, 2016. "Entry timing and innovation strategy in feature phones," Strategic Management Journal, Wiley Blackwell, vol. 37(6), pages 1002-1020, June.
    6. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    7. Brown, Terrence E. & Boon, Edward & Pitt, Leyland F., 2017. "Seeking funding in order to sell: Crowdfunding as a marketing tool," Business Horizons, Elsevier, vol. 60(2), pages 189-195.
    8. Bloch, Francis & Quérou, Nicolas, 2013. "Pricing in social networks," Games and Economic Behavior, Elsevier, vol. 80(C), pages 243-261.
    9. Kostas Bimpikis & Asuman Ozdaglar & Ercan Yildiz, 2016. "Competitive Targeted Advertising Over Networks," Operations Research, INFORMS, vol. 64(3), pages 705-720, June.
    10. Itay P. Fainmesser & Andrea Galeotti, 2016. "Pricing Network Effects," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(1), pages 165-198.
    11. Li, Yongli & Wu, Chong & Wang, Xiaoyu & Luo, Peng, 2014. "A network-based and multi-parameter model for finding influential authors," Journal of Informetrics, Elsevier, vol. 8(3), pages 791-799.
    12. Ozan Candogan & Kostas Bimpikis & Asuman Ozdaglar, 2012. "Optimal Pricing in Networks with Externalities," Operations Research, INFORMS, vol. 60(4), pages 883-905, August.
    13. Chenhao Du & William L. Cooper & Zizhuo Wang, 2016. "Optimal Pricing for a Multinomial Logit Choice Model with Network Effects," Operations Research, INFORMS, vol. 64(2), pages 441-455, April.
    14. Parhankangas, Annaleena & Renko, Maija, 2017. "Linguistic style and crowdfunding success among social and commercial entrepreneurs," Journal of Business Venturing, Elsevier, vol. 32(2), pages 215-236.
    15. Christopher Courtney & Supradeep Dutta & Yong Li, 2017. "Resolving Information Asymmetry: Signaling, Endorsement, and Crowdfunding Success," Entrepreneurship Theory and Practice, , vol. 41(2), pages 265-290, March.
    16. Roland Strausz, 2017. "A Theory of Crowdfunding: A Mechanism Design Approach with Demand Uncertainty and Moral Hazard," American Economic Review, American Economic Association, vol. 107(6), pages 1430-1476, June.
    17. Zhou, Junjie & Chen, Ying-Ju, 2015. "Key leaders in social networks," Journal of Economic Theory, Elsevier, vol. 157(C), pages 212-235.
    18. Strausz, Roland, 2017. "A Theory of Crowdfunding," Rationality and Competition Discussion Paper Series 2, CRC TRR 190 Rationality and Competition.
    19. Mollick, Ethan, 2014. "The dynamics of crowdfunding: An exploratory study," Journal of Business Venturing, Elsevier, vol. 29(1), pages 1-16.
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