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Modeling the Dynamics of Reward-Based Crowdfunding Systems: An Agent-Based Model of Kickstarter

  • Marco CampennìEmail author
  • Federico Cecconi
Chapter
Part of the Computational Social Sciences book series (CSS)

Abstract

In this chapter, we present an agent-based model of Kickstarter, maybe the most successful crowdfunding platform available nowadays. We aim to use the model to better understand cognitive strategies and behavioral dynamics governing Kickstarter, considered as a multi-actor system where agents adopting different strategies interact. The model shows how the success of agents is affected by the strategy they adopt and provide interesting insight about non-linear dynamics resulting from the interactions among agents.

Keywords

Kickstarter Agent-based modelling Social network analysis Profiling investors Cognitive strategies 

References

  1. Belleflamme, P., T. Lambert, & A. Schwienbacher. (2010). Crowdfunding: An industrial organization perspective. Paper presented at Digital Business Models Conference: Understanding Strategies, Paris, France, June 25–26.Google Scholar
  2. Belleflamme, P., Omrani, N., & Peitz, M. (2015). The economics of crowdfunding platforms. Information Economics and Policy, 33, 11–28. ISSN 0167-6245,  https://doi.org/10.1016/j.infoecopol.2015.08.003.CrossRefGoogle Scholar
  3. Bouncken, R. B., Komorek, M., & Kraus, S. (2015). Crowdfunding: The current state of research. International Business & Economics Research Journal (Online), 14, 407.Google Scholar
  4. Freeman, L. C. (1979). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215–239.CrossRefGoogle Scholar
  5. Grimm, V., Berger, U., Bastiansen, F., Eliassen, S., Ginot, V., Giske, J., Goss-Custard, J., Grand, T., Heinz, S. K., Huse, G., Huth, A., Jepsen, J. U., Jørgensen, C., Mooij, W. M., Müller, B., Pe'er, G., Piou, C., Railsback, S. F., Robbins, A. M., Robbins, M. M., Rossmanith, E., Rüger, N., Strand, E., Souissi, S., Stillman, R. A., Vabø, R., Visser, U., & DeAngelis, D. L. (2006). A standard protocol for describing individual-based and agent-based models. Ecological Modelling, 198(1-2), 115–126. ISSN 0304-3800,  https://doi.org/10.1016/j.ecolmodel.2006.04.023.CrossRefGoogle Scholar
  6. Grimm, V., Berger, U., DeAngelis, D. L., Polhill, J. G., Giske, J., & Railsback, S. F. (2010). The ODD protocol: A review and first update. Ecological Modelling, 221(23), 2760–2768. ISSN 0304-3800,  https://doi.org/10.1016/j.ecolmodel.2010.08.019.CrossRefGoogle Scholar
  7. Hindriks, F., & Guala, F. (2015). Institutions, rules, and equilibria: A unified theory. Journal of Institutional Economics, 11(3), 459–480.  https://doi.org/10.1017/S1744137414000496.CrossRefGoogle Scholar
  8. Kickstarter.com. Retrieved February 13, 2015. https://en.wikipedia.org/wiki/Kickstarter#cite_note-31.
  9. Martin, T. (2012, April 12). The jobs act of 2012: balancing fundamental securities law principles with the demands of the crowd. Available at SSRN: https://ssrn.com/abstract=2040953 or  https://doi.org/10.2139/ssrn.2040953.
  10. Schwienbacher, A., & Larralde, B. (2010, September 28). Crowdfunding of Small Entrepreneurial Ventures. Handbook of entrepreneurial finance, Oxford University Press, Forthcoming. Available at SSRN: https://ssrn.com/abstract=1699183 or  https://doi.org/10.2139/ssrn.1699183.
  11. Sproles, G. B., & Kendall, E. L. (1986). A methodology for profiling consumers’ decision-making styles. Journal of Consumer Affairs, 20(2), 267–279.CrossRefGoogle Scholar
  12. Zurell, D., Berger, U., Cabral, J. S., Jeltsch, F., Meynard, C. N., Münkemüller, T., Nehrbass, N., Pagel, J., Reineking, B., Schröder, B., & Grimm, V. (2010). The virtual ecologist approach: Simulating data and observers. Oikos, 119, 622–635.  https://doi.org/10.1111/j.1600-0706.2009.18284.x.CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.BiosciencesUniversity of ExeterPenrynUK
  2. 2.LABSS ISTC-CNRROMEItaly

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