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

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.

[1]  Ronald Klingebiel,et al.  Entry timing and innovation strategy in feature phones , 2016 .

[2]  Sarah Smith,et al.  Peer Effects in Charitable Giving: Evidence from the (Running) Field , 2015 .

[3]  Ying‐ju Chen,et al.  Optimal Pricing with Sequential Consumption in Networks , 2017 .

[4]  Xiaoyu Wang,et al.  A network-based and multi-parameter model for finding influential authors , 2014, J. Informetrics.

[5]  A. Brem,et al.  A conceptualized investment model of crowdfunding , 2013 .

[6]  Junjie Zhou,et al.  Key Leaders in Social Networks , 2015, J. Econ. Theory.

[7]  David P. Williamson,et al.  Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming , 1995, JACM.

[8]  Xi Li,et al.  Product and Pricing Decisions in Crowdfunding , 2014, Mark. Sci..

[9]  Zizhuo Wang,et al.  Optimal Pricing for a Multinomial Logit Choice Model with Network Effects , 2016, Oper. Res..

[10]  C. Markides,et al.  Pioneering and First Mover Advantages: The Importance of Business Models , 2013 .

[11]  Heinrich von Stackelberg,et al.  Stackelberg (Heinrich von) - The Theory of the Market Economy, translated from the German and with an introduction by Alan T. PEACOCK. , 1953 .

[12]  Francis Bloch,et al.  Pricing in social networks , 2013, Games Econ. Behav..

[13]  Supradeep Dutta,et al.  Resolving Information Asymmetry: Signaling, Endorsement, and Crowdfunding Success , 2016 .

[14]  Marco Scarsini,et al.  Monopoly Pricing in the Presence of Social Learning , 2015, Manag. Sci..

[15]  W. C. Benton,et al.  Power Influences in the Supply Chain , 2000 .

[16]  Ethan Mollick The Dynamics of Crowdfunding: An Exploratory Study , 2014 .

[17]  L. Pitt,et al.  Seeking funding in order to sell: Crowdfunding as a marketing tool , 2017 .

[18]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

[19]  Euncheol Shin,et al.  Monopoly Pricing and Diffusion of (Social) Network Goods , 2015, Games Econ. Behav..

[20]  Itay P. Fainmesser,et al.  Pricing Network Effects , 2016 .

[21]  Zizhuo Wang,et al.  Consumer Choice Models with Endogenous Network Effects , 2014 .

[22]  Robert A. Peterson,et al.  First-Mover Advantage: A Synthesis, Conceptual Framework, and Research Propositions , 1992 .

[23]  Antoni Calvó-Armengol,et al.  Centre De Referència En Economia Analítica Barcelona Economics Working Paper Series Working Paper Nº 178 Who's Who in Networks. Wanted: the Key Player Who's Who in Networks. Wanted: the Key Player Barcelona Economics Wp Nº 178 , 2022 .

[24]  Satissed Now Consider Improved Approximation Algorithms for Maximum Cut and Satissability Problems Using Semideenite Programming , 1997 .

[25]  Puneet Manchanda,et al.  Quantifying Cross and Direct Network Effects in Online Consumer-to-Consumer Platforms , 2016, Mark. Sci..

[26]  Jing Wang,et al.  Network structure, perception level, and participants' welfares , 2015, Complex..

[27]  Mehmet E. Yildiz,et al.  Competitive Targeted Advertising Over Networks , 2016, Oper. Res..

[28]  Ali Kakhbod,et al.  Dynamic Pricing in Social Networks: The Word of Mouth Effect , 2015 .

[29]  Annaleena Parhankangas,et al.  Linguistic style and crowdfunding success among social and commercial entrepreneurs , 2017 .

[30]  Asuman E. Ozdaglar,et al.  Optimal Pricing in Networks with Externalities , 2011, Oper. Res..

[31]  Shankar M. Venkatesan,et al.  Approximation and Intractability Results for the Maximum Cut Problem and its Variants , 1991, IEEE Trans. Computers.