Online crowd-funding strategy: a game-theoretical approach to a Kickstarter case study

There are many factors that can inhibit the potential of promising projects from being completely funded in crowd-funding campaigns. In order to study this, a game-theoretical model is constructed to display irrational fear and help creators maximize their chances of facilitating a successful campaign. This research shows that once irrational fear is modeled along with the strategies associated with the design of the reward system, the total pledged amount for a project can be predicted in order to scheme their strategies based on the situation. For simplicity and consistency, the model is based on Kickstarter funding campaigns of physical products that are used as rewards for support. This paper discusses the influence of potential strategies for increasing the total pledge, such as modeling irrational fear and limiting rewards.

[1]  Chi-Hua Chen,et al.  A machine learning approach to predict the success of crowdfunding fintech project , 2020, J. Enterp. Inf. Manag..

[2]  Elizabeth Gerber,et al.  Crowdfunding , 2013, ACM Trans. Comput. Hum. Interact..

[3]  Yan Li,et al.  Study on crowdfunding’s promoting effect on the expansion of electric vehicle charging piles based on game theory analysis , 2017 .

[4]  Jie Xu,et al.  Modeling and mitigating the effects of supply chain disruption in a defender–attacker game , 2016, Ann. Oper. Res..

[5]  U. Kalim,et al.  Successful Antecedents of Women Entrepreneurs: A Case of Underdeveloped Nation , 2017 .

[6]  M. Hafeez,et al.  Evaluating the Minor Coarse Cereals Product Crowdfunding Platform through Evolutionary Game Analysis , 2019, Sustainability.

[7]  Mike Mingcheng Wei,et al.  Advance Selling to Strategic Consumers: Preorder Contingent Production Strategy with Advance Selling Target , 2018 .

[8]  Wang-Chien Lee,et al.  Probabilistic Group Recommendation Model for Crowdfunding Domains , 2016, WSDM.

[9]  Mokter Hossain,et al.  Crowdfunding: Motives, Definitions, Typology and Ethical Challenges , 2015 .

[10]  Zhao Wang,et al.  Loan default prediction by combining soft information extracted from descriptive text in online peer-to-peer lending , 2018, Ann. Oper. Res..

[11]  Seunghun Lee,et al.  Content-based Success Prediction of Crowdfunding Campaigns: A Deep Learning Approach , 2018, CSCW Companion.

[12]  Gerhard-Wilhelm Weber,et al.  Mutual relevance of investor sentiment and finance by modeling coupled stochastic systems with MARS , 2020, Annals of Operations Research.

[13]  Daniele Quercia,et al.  Recommending investors for crowdfunding projects , 2014, WWW.

[14]  Gerhard-Wilhelm Weber,et al.  Optimal control of stochastic hybrid system with jumps: A numerical approximation , 2012, J. Comput. Appl. Math..

[15]  Gerhard-Wilhelm Weber,et al.  Voxel-MARS: a method for early detection of Alzheimer’s disease by classification of structural brain MRI , 2017, Annals of Operations Research.

[16]  Steven M. Shugan,et al.  Electronic Tickets, Smart Cards, and Online Prepayments: When and How to Advance Sell , 2001 .

[17]  Vincent Etter,et al.  Launch hard or go home!: predicting the success of kickstarter campaigns , 2013, COSN '13.

[18]  Gerhard-Wilhelm Weber,et al.  Stochastic differential games for optimal investment problems in a Markov regime-switching jump-diffusion market , 2020, Annals of Operations Research.

[19]  Jamie Weatherston,et al.  The Benefits of Online Crowdfunding for Fund-Seeking Business Ventures† , 2014 .

[20]  Yvonne Rogers,et al.  Introduction to the special issue on the theory and practice of embodied interaction in HCI and interaction design , 2013, TCHI.

[21]  Gerhard-Wilhelm Weber,et al.  Long-term load forecasting: models based on MARS, ANN and LR methods , 2018, Central European Journal of Operations Research.

[22]  H. Raiffa,et al.  Negotiation Analysis: The Science and Art of Collaborative Decision Making , 2003 .

[23]  Xiurui Hou,et al.  Success Prediction on Crowdfunding with Multimodal Deep Learning , 2019, IJCAI.

[24]  G. Weber,et al.  CMARS: a new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous optimization , 2012 .

[25]  Gregory D. Saxton,et al.  Publicity vs. impact in nonprofit disclosures and donor preferences: a sequential game with one nonprofit organization and N donors , 2011, Ann. Oper. Res..

[26]  Jaegul Choo,et al.  Project Recommendation Using Heterogeneous Traits in Crowdfunding , 2021, ICWSM.

[27]  Laura I. Rendón Linares,et al.  Revisiting Validation Theory: Theoretical Foundations, Applications, and Extensions , 2011 .

[28]  Eric Gilbert,et al.  The language that gets people to give: phrases that predict success on kickstarter , 2014, CSCW.

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

[30]  Man Li A Signaling Game Analysis of Project Investment on Equity Crowdfunding Platform , 2017 .

[31]  Fei He,et al.  Discrete game-theoretic analysis of defense in correlated cyber-physical systems , 2020, Ann. Oper. Res..

[32]  Thanh Tran,et al.  Understanding Temporal Backing Patterns in Online Crowdfunding Communities , 2017, WebSci.

[33]  Jens Perch Nielsen,et al.  Forecasting benchmarks of long-term stock returns via machine learning , 2019, Annals of Operations Research.

[34]  Yiwen Gao,et al.  Understanding the determinants of funders' investment intentions on crowdfunding platforms: A trust-based perspective , 2016, Ind. Manag. Data Syst..

[35]  Yenchun Jim Wu,et al.  Prediction of fundraising outcomes for crowdfunding projects based on deep learning: a multimodel comparative study , 2020, Soft Comput..

[36]  Katia P. Sycara,et al.  A Crowdfunding Model for Green Energy Investment , 2015, IJCAI.

[37]  Li Wang,et al.  What Makes Charitable Crowdfunding Projects Successful: A Research Based on Data Mining and Social Capital Theory , 2018, PDCAT.

[38]  Roland Strausz A Theory of Crowdfunding - A Mechanism Design Approach with Demand Uncertainty and Moral Hazard , 2016, SSRN Electronic Journal.

[39]  A. E. Gear,et al.  A dynamic model of some multistage aspects of research and development portfolios , 1973 .

[40]  Matthew Josefy,et al.  The Role of Community in Crowdfunding Success: Evidence on Cultural Attributes in Funding Campaigns to “Save the Local Theater” , 2017 .

[41]  Fuqiang Zhang,et al.  Advance Demand Information, Price Discrimination, and Pre-Order Strategies , 2012 .

[42]  Jun Chen,et al.  Decision Making in Crowdfunding Under Risk Analysis , 2018, HICSS.

[43]  Athanasios A. Pantelous,et al.  Preface: application of operations research to financial markets , 2019, Ann. Oper. Res..

[44]  Qiang Gao,et al.  Words Matter: The Role of Texts in Online Credit Markets , 2016 .

[45]  Diana L. Young,et al.  Levels of theory-of-mind reasoning in competitive games , 2012 .

[46]  Jun Zhuang,et al.  Comparison of AHP and Monte Carlo AHP Under Different Levels of Uncertainty , 2015, IEEE Transactions on Engineering Management.

[47]  Yongfei Li,et al.  The evolution game analysis of crowdfunding market financing supervision , 2018 .

[48]  Xinxiu Wang,et al.  Crowdfunding mechanism comparison when product quality is uncertain , 2020, Int. Trans. Oper. Res..

[49]  Chuan Yang,et al.  Prediction of Crowdfunding Project Success with Deep Learning , 2018, 2018 IEEE 15th International Conference on e-Business Engineering (ICEBE).

[50]  Raymond Y. K. Lau,et al.  The determinants of crowdfunding success: A semantic text analytics approach , 2016, Decis. Support Syst..

[51]  Gerhard-Wilhelm Weber,et al.  Dynamic programming for a Markov-switching jump-diffusion , 2014, J. Comput. Appl. Math..

[52]  Jyrki Wallenius,et al.  Success drivers of online equity crowdfunding campaigns , 2016, Decis. Support Syst..

[53]  Yan Li,et al.  Project Success Prediction in Crowdfunding Environments , 2016, WSDM.