IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v24y2013i3p499-519.html
   My bibliography  Save this article

An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets

Author

Listed:
  • Gordon Burtch

    (Carlson School of Management, University of Minnesota, Minneapolis, Minnesota 55455)

  • Anindya Ghose

    (Stern School of Business, New York University, New York, New York 10012)

  • Sunil Wattal

    (Fox School of Business, Temple University, Philadelphia, Pennsylvania 19122)

Abstract

Crowd-funded markets have recently emerged as a novel source of capital for entrepreneurs. As the economic potential of these markets is now being realized, they are beginning to go mainstream, a trend reflected by the explicit attention crowdfunding has received in the American Jobs Act as a potential avenue for economic growth, as well as the recent focus that regulators such as the U.S. Securities and Exchange Commission have placed upon it. Although the formulation of regulation and policy surrounding crowd-funded markets is becoming increasingly important, the behavior of crowdfunders, an important aspect that must be considered in this formulation effort, is not yet well understood. A key factor that can influence the behavior of crowd funders is information on prior contribution behavior, including the amount and timing of others' contributions, which is published for general consumption. With that in mind, in this study, we empirically examine social influence in a crowd-funded marketplace for online journalism projects, employing a unique data set that incorporates contribution events and Web traffic statistics for approximately 100 story pitches. This data set allows us to examine both the antecedents and consequences of the contribution process. First, noting that digital journalism is a form of public good, we evaluate the applicability of two competing classes of economic models that explain private contribution toward public goods in the presence of social information: substitution models and reinforcement models. We also propose a new measure that captures both the amount and the timing of others' contribution behavior: contribution frequency (dollars per unit time). We find evidence in support of a substitution model, which suggests a partial crowding-out effect, where contributors may experience a decrease in their marginal utility from making a contribution as it becomes less important to the recipient. Further, we find that the duration of funding and, more importantly, the degree of exposure that a pitch receives over the course of the funding process, are positively associated with readership upon the story's publication. This appears to validate the widely held belief that a key benefit of the crowdfunding model is the potential it offers for awareness and attention-building around causes and ventures. This last aspect is a major contribution of the study, as it demonstrates a clear linkage between marketing effort and the success of crowd-funded projects.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:orisre:v:24:y:2013:i:3:p:499-519
    DOI: 10.1287/isre.1120.0468
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.1120.0468
    Download Restriction: no

    File URL: https://libkey.io/10.1287/isre.1120.0468?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ananish Chaudhuri & Tirnud Paichayontvijit, 2006. "Conditional cooperation and voluntary contributions to a public good," Economics Bulletin, AccessEcon, vol. 3(8), pages 1-14.
    2. Flynn, Francis J., 2003. "What have you done for me lately? Temporal adjustments to favor evaluations," Organizational Behavior and Human Decision Processes, Elsevier, vol. 91(1), pages 38-50, May.
    3. John A. List & David Lucking-Reiley, 2002. "The Effects of Seed Money and Refunds on Charitable Giving: Experimental Evidence from a University Capital Campaign," Journal of Political Economy, University of Chicago Press, vol. 110(1), pages 215-233, February.
    4. Eckel, Catherine C. & Grossman, Philip J., 2008. "Differences in the Economic Decisions of Men and Women: Experimental Evidence," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 57, pages 509-519, Elsevier.
    5. Armin Falk, "undated". "Charitable Giving as a Gift Exchange - Evidence from a Field Experiment," IEW - Working Papers 168, Institute for Empirical Research in Economics - University of Zurich.
    6. Nikolay Archak & Anindya Ghose & Panagiotis G. Ipeirotis, 2011. "Deriving the Pricing Power of Product Features by Mining Consumer Reviews," Management Science, INFORMS, vol. 57(8), pages 1485-1509, August.
    7. Damien Besancenot & Kim Huynh & Radu Vranceanu, 2009. "The ‘Read or Write’ Dilemma in Academic Production: A Transatlantic Perspective," The American Economist, Sage Publications, vol. 53(1), pages 75-84, March.
    8. Bernheim, B Douglas, 1994. "A Theory of Conformity," Journal of Political Economy, University of Chicago Press, vol. 102(5), pages 841-877, October.
    9. repec:ebl:ecbull:v:3:y:2006:i:8:p:1-14 is not listed on IDEAS
    10. Andreoni, James, 1995. "Cooperation in Public-Goods Experiments: Kindness or Confusion?," American Economic Review, American Economic Association, vol. 85(4), pages 891-904, September.
    11. Carpenter, Jeffrey P., 2007. "Punishing free-riders: How group size affects mutual monitoring and the provision of public goods," Games and Economic Behavior, Elsevier, vol. 60(1), pages 31-51, July.
    12. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    13. Mehrhoff, Jens, 2009. "A solution to the problem of too many instruments in dynamic panel data GMM," Discussion Paper Series 1: Economic Studies 2009,31, Deutsche Bundesbank.
    14. Roberts, Russell D, 1984. "A Positive Model of Private Charity and Public Transfers," Journal of Political Economy, University of Chicago Press, vol. 92(1), pages 136-148, February.
    15. Catherine Tucker & Juanjuan Zhang, 2010. "Growing Two-Sided Networks by Advertising the User Base: A Field Experiment," Marketing Science, INFORMS, vol. 29(5), pages 805-814, 09-10.
    16. Paulo Albuquerque & Polykarpos Pavlidis & Udi Chatow & Kay-Yut Chen & Zainab Jamal, 2012. "Evaluating Promotional Activities in an Online Two-Sided Market of User-Generated Content," Marketing Science, INFORMS, vol. 31(3), pages 406-432, May.
    17. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    18. Vesterlund, Lise, 2003. "The informational value of sequential fundraising," Journal of Public Economics, Elsevier, vol. 87(3-4), pages 627-657, March.
    19. Borck, Rainald & Frank, Bjorn & Robledo, Julio R., 2006. "An empirical analysis of voluntary payments for information goods on the Internet," Information Economics and Policy, Elsevier, vol. 18(2), pages 229-239, June.
    20. Bardsley, Nicholas & Sausgruber, Rupert, 2005. "Conformity and reciprocity in public good provision," Journal of Economic Psychology, Elsevier, vol. 26(5), pages 664-681, October.
    21. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    22. Juanjuan Zhang & Peng Liu, 2012. "Rational Herding in Microloan Markets," Management Science, INFORMS, vol. 58(5), pages 892-912, May.
    23. Mehrhoff, Jens, 2009. "A solution to the problem of too many instruments in dynamic panel data GMM," IBES Diskussionsbeiträge 171, University of Duisburg-Essen, Institute of Business and Economic Studie (IBES).
    24. Burton Abrams & Mark Schitz, 1978. "The ‘crowding-out’ effect of governmental transfers on private charitable contributions," Public Choice, Springer, vol. 33(1), pages 29-39, March.
    25. Kingma, Bruce Robert, 1989. "An Accurate Measurement of the Crowd-Out Effect, Income Effect, and Price Effect for Charitable Contributions," Journal of Political Economy, University of Chicago Press, vol. 97(5), pages 1197-1207, October.
    26. Armin Falk, 2004. "Charitable Giving as a Gift Exchange – Evidence from a Field Experiment (new title: Gift-Exchange in the Field)," CESifo Working Paper Series 1218, CESifo.
    27. Atip Asvanund & Karen Clay & Ramayya Krishnan & Michael D. Smith, 2004. "An Empirical Analysis of Network Externalities in Peer-to-Peer Music-Sharing Networks," Information Systems Research, INFORMS, vol. 15(2), pages 155-174, June.
    28. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    29. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    30. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
    31. Cumming, Douglas (ed.), 2012. "The Oxford Handbook of Entrepreneurial Finance," OUP Catalogue, Oxford University Press, number 9780195391244.
    32. Andreoni, James, 1989. "Giving with Impure Altruism: Applications to Charity and Ricardian Equivalence," Journal of Political Economy, University of Chicago Press, vol. 97(6), pages 1447-1458, December.
    33. Rachel Croson & Jen Shang, 2008. "The impact of downward social information on contribution decisions," Experimental Economics, Springer;Economic Science Association, vol. 11(3), pages 221-233, September.
    34. Andreoni, James, 1990. "Impure Altruism and Donations to Public Goods: A Theory of Warm-Glow Giving?," Economic Journal, Royal Economic Society, vol. 100(401), pages 464-477, June.
    35. Chris Forman & Anindya Ghose & Batia Wiesenfeld, 2008. "Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets," Information Systems Research, INFORMS, vol. 19(3), pages 291-313, September.
    36. Jen Shang & Rachel Croson, 2009. "A Field Experiment in Charitable Contribution: The Impact of Social Information on the Voluntary Provision of Public Goods," Economic Journal, Royal Economic Society, vol. 119(540), pages 1422-1439, October.
    37. NANDI, Tushar K. & ROCHELANDET, Fabrice, 2008. "The Incentives for Contributing Digital Contents Over P2P Networks: An Empirical Investigation," MPRA Paper 51301, University Library of Munich, Germany.
    38. Ann E. Schlosser, 2005. "Posting versus Lurking: Communicating in a Multiple Audience Context," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(2), pages 260-265, September.
    39. Catherine Tucker & Juanjuan Zhang, 2011. "How Does Popularity Information Affect Choices? A Field Experiment," Management Science, INFORMS, vol. 57(5), pages 828-842, May.
    40. Varian, Hal R., 1994. "Sequential contributions to public goods," Journal of Public Economics, Elsevier, vol. 53(2), pages 165-186, February.
    41. James Andreoni & A. Abigail Payne, 2003. "Do Government Grants to Private Charities Crowd Out Giving or Fund-raising?," American Economic Review, American Economic Association, vol. 93(3), pages 792-812, June.
    42. Reece, William S, 1979. "Charitable Contributions: New Evidence on Household Behavior," American Economic Review, American Economic Association, vol. 69(1), pages 142-151, March.
    43. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    44. Sugden, Robert, 1984. "Reciprocity: The Supply of Public Goods through Voluntary Contributions," Economic Journal, Royal Economic Society, vol. 94(376), pages 772-787, December.
    45. Sanjeev Dewan & Jui Ramaprasad, 2012. "Research Note ---Music Blogging, Online Sampling, and the Long Tail," Information Systems Research, INFORMS, vol. 23(3-part-2), pages 1056-1067, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jen Shang & Rachel Croson, 2009. "A Field Experiment in Charitable Contribution: The Impact of Social Information on the Voluntary Provision of Public Goods," Economic Journal, Royal Economic Society, vol. 119(540), pages 1422-1439, October.
    2. Peter Katuščák & Tomáš Miklánek, 2023. "What drives conditional cooperation in public good games?," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 435-467, April.
    3. Yamamoto, Wataru, 2013. "Negative economic consequences of ethical campaigns?: Market data evidence," MPRA Paper 49070, University Library of Munich, Germany.
    4. Dean Karlan & John A. List, 2007. "Does Price Matter in Charitable Giving? Evidence from a Large-Scale Natural Field Experiment," American Economic Review, American Economic Association, vol. 97(5), pages 1774-1793, December.
    5. Garth Heutel, 2014. "Crowding Out and Crowding In of Private Donations and Government Grants," Public Finance Review, , vol. 42(2), pages 143-175, March.
    6. Edwards, James T. & List, John A., 2014. "Toward an understanding of why suggestions work in charitable fundraising: Theory and evidence from a natural field experiment," Journal of Public Economics, Elsevier, vol. 114(C), pages 1-13.
    7. John A. List, 2011. "The Market for Charitable Giving," Journal of Economic Perspectives, American Economic Association, vol. 25(2), pages 157-180, Spring.
    8. Philip H. Brown & Jessica H. Minty, 2008. "Media Coverage and Charitable Giving after the 2004 Tsunami," Southern Economic Journal, John Wiley & Sons, vol. 75(1), pages 9-25, July.
    9. Gong, Ning & Grundy, Bruce D., 2014. "The design of charitable fund-raising schemes: Matching grants or seed money," Journal of Economic Behavior & Organization, Elsevier, vol. 108(C), pages 147-165.
    10. Roi Zultan & Eva-Maria Steiger, 2011. "See No Evil: Information Chains and Reciprocity in Teams," Working Papers 1108, Ben-Gurion University of the Negev, Department of Economics.
    11. Philip Brown & Jessica Minty, 2006. "Media Coverage & Charitable Giving After the 2004 Tsunami," William Davidson Institute Working Papers Series wp855, William Davidson Institute at the University of Michigan.
    12. Ananish Chaudhuri, 2011. "Sustaining cooperation in laboratory public goods experiments: a selective survey of the literature," Experimental Economics, Springer;Economic Science Association, vol. 14(1), pages 47-83, March.
    13. Simon Gaechter, 2006. "Conditional cooperation: Behavioral regularities from the lab and the field and their policy implications," Discussion Papers 2006-03, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    14. Behrens, Christoph & Emrich, Eike & Hämmerle, Martin & Pierdzioch, Christian, 2017. "Match quality, crowding out, and crowding in: Empirical evidence for German sports clubs," Working Papers of the European Institute for Socioeconomics 21, European Institute for Socioeconomics (EIS), Saarbrücken.
    15. Varvara Isyuk, 2014. "Resuming bank lending in the aftermath of the Capital Purchase Program," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01093414, HAL.
    16. Bruno S. Frey & Stephan Meier, 2004. "Social Comparisons and Pro-social Behavior: Testing "Conditional Cooperation" in a Field Experiment," American Economic Review, American Economic Association, vol. 94(5), pages 1717-1722, December.
    17. repec:ebl:ecbull:v:10:y:2002:i:1:p:1-14 is not listed on IDEAS
    18. Chih, Yao-Yu, 2016. "Social network structure and government provision crowding-out on voluntary contributions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 63(C), pages 83-90.
    19. Zhihong Ke & De Liu & Daniel J. Brass, 2020. "Do Online Friends Bring Out the Best in Us? The Effect of Friend Contributions on Online Review Provision," Information Systems Research, INFORMS, vol. 31(4), pages 1322-1336, December.
    20. Richard Martin & John Randal, 2005. "Voluntary contributions to a public good: A natural field experiment," Natural Field Experiments 00306, The Field Experiments Website.
    21. Feine, Gregor & Groh, Elke D. & von Loessl, Victor & Wetzel, Heike, 2023. "The double dividend of social information in charitable giving: Evidence from a framed field experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orisre:v:24:y:2013:i:3:p:499-519. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.