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Emerging Dynamics in Crowdfunding Campaigns

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNISA,volume 8393)

Abstract

Crowdfunding platforms are becoming more and more popular for fund-raising of entrepreneurial ventures, but the success rate of crowdfunding campaigns is found to be less than 50%. Recent research has shown that, in addition to the quality and representations of project ideas, dynamics of investment during a crowdfunding campaign also play an important role in determining its success. To further understand the role of investment dynamics, we did an exploratory analysis of the time series of money pledges to campaigns in Kickstarter to investigate the extent to which simple inflows and first-order derivatives can predict the eventual success of campaigns. Using decision tree models, we found that there were discrete stages in money pledges that predicted the success of crowdfunding campaigns. Specifically, we found that, for the majority of projects that had the default campaign duration of one month in Kickstarter, money pledges inflow occurring in the initial 10% and 40-60%, and the first order derivative of inflow at 95-100% of the duration of the campaigns had the strongest impact on the success of campaigns. In addition, merely utilizing the initial 15% money inflows, which could be regarded as “seed money”, to build a predictor can correctly predict 84% of the success of campaigns. Implication of current results to crowdfunding campaigns is also discussed.

Keywords

  • Crowdfunding
  • predictor
  • decision tree
  • dynamic

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  • DOI: 10.1007/978-3-319-05579-4_41
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References

  1. Agrawal, A.K., Catalini, C., Goldfarb, A.: The Geography of Crowdfunding. SSRN Electronic Journal (2010)

    Google Scholar 

  2. Andreoni, J.: Toward a Theory of Charitable Fund Raising. Journal of Political Economy 106, 1186–1213 (1998)

    CrossRef  Google Scholar 

  3. Etter, V., Grossglauser, M., Thiran, P.: Launch Hard or Go Home!: Predicting the Success of Kickstarter Campaigns. In: The Proceedings of the First ACM Conference on Online Social Networks, New York, NY, USA (2013)

    Google Scholar 

  4. Greenberg, M.D., Pardo, B., Hariharan, K., Gerber, E.: Crowdfunding Support Tools: Predicting Success & Failure. In: The CHI 2013 Extended Abstracts on Human Factors in Computing Systems, New York, NY, USA (2013)

    Google Scholar 

  5. Gerber, E.M., Hui, J.: Crowdfunding: Motivations and Deterrents for Participation. ACM Transactions on Computer-Human Interaction (TOCHI) 20, 34:1–34:32 (2013)

    Google Scholar 

  6. Gerber, E.M., Hui, J.S., Kuo, P.Y.: Crowdfunding: Why people are motivated to post and fund projects on crowdfunding platforms. In: The ACMs Conference on Computer Supported Cooperative Work and Social Computing (Workshop) (2012)

    Google Scholar 

  7. Hui, J.S., Gerber, E., Greenberg, M.: Easy Money? The Demands of Crowdfunding Work. Segal Technical Report. 12-04 (2012)

    Google Scholar 

  8. Hui, J.S., Greenberg, M.D., Gerber, E.M.: Understanding the Role of Community in Crowdfunding Work. In: Accepted: The ACM’s Conference on Computer Supported Cooperative Work and Social Computing, Baltimore, Maryland, USA (2014)

    Google Scholar 

  9. Kuppuswamy, V., Bayus, B.L.: Crowdfunding Creative Ideas: the Dynamics of Projects Backers in Kickstarter. SSRN Electronic Journal (2013)

    Google Scholar 

  10. List, J.A., Reiley, D.L.: The Effects of Seed Money and Refunds on Charitable Giving: Experimental Evidence from a University Capital Campaign. Journal of Political Economy 110, 215–233 (2002)

    CrossRef  Google Scholar 

  11. Mollick, E.: The dynamics of crowdfunding: An exploratory study. Journal of Business Venturing 29, 1–16 (2014)

    CrossRef  Google Scholar 

  12. Muller, M., Geyer, W., Soule, T., Daniels, S., Cheng, L.-T.: Crowdfunding Inside the Enterprise: Employee-initiatives for Innovation and Collaboration. In: The Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, New York, NY, USA (2013)

    Google Scholar 

  13. Wash, R.: The value of completing crowdfunding projects. In: The 7th International AAAI Conference on Weblogs and Social Media, Boston, Massachusetts, USA (2013)

    Google Scholar 

  14. Wash, R., Solomon, J.: Coordinating Donors on Crowdfunding Websites. In: Accepted: The ACM’s Conference on Computer Supported Cooperative Work and Social Computing, Baltimore, Maryland, USA (2014)

    Google Scholar 

  15. Xu, A., Yang, X., Rao, H., Huang, S.W., Fu, W.-T., Bailey, B.P.: Show me the Money! An Analysis of Project Updates during Crowdfunding Campaigns. In: Accepted: The Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Toronto, Canada (2014)

    Google Scholar 

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© 2014 Springer International Publishing Switzerland

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Rao, H., Xu, A., Yang, X., Fu, WT. (2014). Emerging Dynamics in Crowdfunding Campaigns. In: Kennedy, W.G., Agarwal, N., Yang, S.J. (eds) Social Computing, Behavioral-Cultural Modeling and Prediction. SBP 2014. Lecture Notes in Computer Science, vol 8393. Springer, Cham. https://doi.org/10.1007/978-3-319-05579-4_41

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  • DOI: https://doi.org/10.1007/978-3-319-05579-4_41

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05578-7

  • Online ISBN: 978-3-319-05579-4

  • eBook Packages: Computer ScienceComputer Science (R0)