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Using past contribution patterns to forecast fundraising outcomes in crowdfunding

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  • Fan-Osuala, Onochie
  • Zantedeschi, Daniel
  • Jank, Wolfgang

Abstract

The crowdfunding mechanism has proven to be a practical way of raising funds, especially with the widespread use of the Internet. However, one limitation of current crowdfunding platforms is that it is hard for creators and backers to anticipate the success of a campaign. This paper tackles this limitation. We take a two-pronged approach to building our forecasting model. First, we explore the nature and heterogeneity of contribution dynamics in crowdfunding campaigns and compare them across two natural groups (successful and unsuccessful campaigns). We then use insights generated from our exploratory analysis and draw upon the general laws of motion for stochastic processes in order to introduce a new dynamic model for predicting crowdfunding outcomes. Our model incorporates the history and dynamics of both the focal crowdfunding campaign and other campaigns for predicting outcomes. We compare our model to other parametric and semi-parametric benchmark models, and show substantial improvements.

Suggested Citation

  • Fan-Osuala, Onochie & Zantedeschi, Daniel & Jank, Wolfgang, 2018. "Using past contribution patterns to forecast fundraising outcomes in crowdfunding," International Journal of Forecasting, Elsevier, vol. 34(1), pages 30-44.
  • Handle: RePEc:eee:intfor:v:34:y:2018:i:1:p:30-44
    DOI: 10.1016/j.ijforecast.2017.07.003
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    1. Denis Frydrych & Adam J. Bock & Tony Kinder & Benjamin Koeck, 2014. "Exploring entrepreneurial legitimacy in reward-based crowdfunding," Venture Capital, Taylor & Francis Journals, vol. 16(3), pages 247-269, July.
    2. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    3. Massimo G. Colombo & Chiara Franzoni & Cristina Rossi–Lamastra, 2015. "Internal Social Capital and the Attraction of Early Contributions in Crowdfunding," Entrepreneurship Theory and Practice, , vol. 39(1), pages 75-100, January.
    4. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    5. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    6. Zhou, Lan & Huang, Jianhua Z. & Martinez, Josue G. & Maity, Arnab & Baladandayuthapani, Veerabhadran & Carroll, Raymond J., 2010. "Reduced Rank Mixed Effects Models for Spatially Correlated Hierarchical Functional Data," Journal of the American Statistical Association, American Statistical Association, vol. 105(489), pages 390-400.
    7. Natasha Zhang Foutz & Wolfgang Jank, 2010. "Research Note—Prerelease Demand Forecasting for Motion Pictures Using Functional Shape Analysis of Virtual Stock Markets," Marketing Science, INFORMS, vol. 29(3), pages 568-579, 05-06.
    8. Wang, Shanshan & Jank, Wolfgang & Shmueli, Galit & Smith, Paul, 2008. "Modeling Price Dynamics in eBay Auctions Using Differential Equations," Journal of the American Statistical Association, American Statistical Association, vol. 103(483), pages 1100-1118.
    9. Scott Shane & Daniel Cable, 2002. "Network Ties, Reputation, and the Financing of New Ventures," Management Science, INFORMS, vol. 48(3), pages 364-381, March.
    10. Ran Kivetz & Oleg Urminsky & Yuhuang Zheng, 2006. "The Goal-Gradient Hypothesis Resurrected: Purchase Acceleration, Illusionary Goal Progress, and Customer Retention," Natural Field Experiments 00658, The Field Experiments Website.
    11. Mollick, Ethan, 2014. "The dynamics of crowdfunding: An exploratory study," Journal of Business Venturing, Elsevier, vol. 29(1), pages 1-16.
    12. Peter Ebbes & Dominik Papies & Harald J. van Heerde, 2011. "The Sense and Non-Sense of Holdout Sample Validation in the Presence of Endogeneity," Marketing Science, INFORMS, vol. 30(6), pages 1115-1122, November.
    13. 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.
    14. Scott Shane & Toby Stuart, 2002. "Organizational Endowments and the Performance of University Start-ups," Management Science, INFORMS, vol. 48(1), pages 154-170, January.
    15. Ashish Sood & Gareth M. James & Gerard J. Tellis, 2009. "Functional Regression: A New Model for Predicting Market Penetration of New Products," Marketing Science, INFORMS, vol. 28(1), pages 36-51, 01-02.
    16. Gerrit K.C. Ahlers & Douglas Cumming & Christina Günther & Denis Schweizer, 2015. "Signaling in Equity Crowdfunding," Entrepreneurship Theory and Practice, , vol. 39(4), pages 955-980, July.
    17. Guiyang Xiong & Sundar Bharadwaj, 2014. "Prerelease Buzz Evolution Patterns and New Product Performance," Marketing Science, INFORMS, vol. 33(3), pages 401-421, May.
    18. Kuppuswamy, Venkat & Bayus, Barry L., 2017. "Does my contribution to your crowdfunding project matter?," Journal of Business Venturing, Elsevier, vol. 32(1), pages 72-89.
    19. Sam K. Hui & Tom Meyvis & Henry Assael, 2014. "Analyzing Moment-to-Moment Data Using a Bayesian Functional Linear Model: Application to TV Show Pilot Testing," Marketing Science, INFORMS, vol. 33(2), pages 222-240, March.
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    Cited by:

    1. Matthew Ellman & Michele Fabi, 2022. "A Theory of Crowdfunding Dynamics," Working Papers 1349, Barcelona School of Economics.
    2. Bi, Gongbing & Geng, Botao & Liu, Lindong, 2019. "On the fixed and flexible funding mechanisms in reward-based crowdfunding," European Journal of Operational Research, Elsevier, vol. 279(1), pages 168-183.
    3. Oliver Schaer & Nikolaos Kourentzes & Robert Fildes, 2022. "Predictive competitive intelligence with prerelease online search traffic," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3823-3839, October.
    4. Massa Saluzzo, Federica & Alegre, Inés, 2021. "Supporting entrepreneurs: The role of third-party endorsement in crowdfunding platforms," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    5. Wang, Wei & Guo, Lihuan & Wu, Yenchun Jim, 2022. "The merits of a sentiment analysis of antecedent comments for the prediction of online fundraising outcomes," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    6. Santautė Venslavienė & Jelena Stankevičienė & Agnė Vaiciukevičiūtė, 2021. "Assessment of Successful Drivers of Crowdfunding Projects Based on Visual Analogue Scale Matrix for Criteria Weighting Method," Mathematics, MDPI, vol. 9(14), pages 1-18, July.
    7. Yanhong Guo & Shuai Jiang & Wenjun Zhou & Chunyu Luo & Hui Xiong, 2021. "A predictive indicator using lender composition for loan evaluation in P2P lending," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-24, December.

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