Skip to main content
Log in

An empirical investigation of signaling in reward-based crowdfunding

  • Published:
Electronic Commerce Research Aims and scope Submit manuscript

Abstract

Start-ups often face the challenge of a shortage of capital, the so-called funding gap, which can be overcome by raising small amounts of money from a large number of individuals. As crowdfunding suffers from a continuous rise in failure rates, the aim of this article is to contribute to the research concerning success factors in reward-based crowdfunding campaigns by focusing on signaling theory. Based on data retrieved from the crowdfunding platform Kickstarter, our results indicate that social ties, investment preparation and presentation, the supply of multiple rewards as well as endeavors to communicate and interact with the crowd positively influence the probability of success of a reward-based crowdfunding campaign. In contrast, the funding goal, a campaign’s runtime and the estimated time of delivery for the rewards have a negative impact on the successful completion of a campaign.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Notes

  1. Based on the conversion rates of 13 October 2014 and 14 October 2014.

  2. Following terms and symbols were looked upon for the filtering: Facebook, LinkedIn, Twitter, YouTube, Twitch, Flickr, Tremblor, Imbd, Soundcloud, iTunes, Vimeo, Instagram, WordPress, BlogSpot, Myspace, Deviantart, about.me, etsy, @, Wikimedia, Wikipedia, Bandcamp, Reverbnation, Blog, youtu.be, Google, google.com, plus.google, docs.google, picasaweb.google, profiles.google, Aboutme, bit.ly, user,/profile, Reddit, Yahoo, Amazon.

  3. Where the notations are: b = Payment amount for the reward level; L (b) = Delivery time for amount b; P (b) = Willingness to pay amount b.

References

  1. Agrawal, A., Catalini, C., & Goldfarb, A. (2011). Friends, family, and the flat world: The geography of crowdfunding. NBER Working Paper 16820. Cambridge.

  2. Agrawal, A., Catalini, C., & Goldfarb, A. (2014). Some simple economics of crowdfunding. Innovation Policy and the Economy, 14(1), 63–97.

    Article  Google Scholar 

  3. Amy, L. O., & Dawn, I. (1998). The effect of guarantees on consumers’ evaluation of servicesnull. Journal of Services Marketing, 12(5), 362–378.

    Article  Google Scholar 

  4. Asur, S., & Huberman, B. A. (2010). Predicting the future with social media. In IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) (pp. 492–499), Los Alamitos

  5. Baddeley, M. (2009). Herding, social influence and economic decision-making: socio-psychological and neuroscientific analyses. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 365(1538), 281–290.

    Article  Google Scholar 

  6. Bansal, H. S., & Voyer, P. A. (2000). Word-of-mouth processes within a services purchase decision context. Journal of Service Research, 3(2), 166–177.

    Article  Google Scholar 

  7. Beaulieu, T., Sarker, S., & Sarker, S. (2015). A conceptual framework for understanding crowdfunding. Communications of the Association for Information Systems, 37(1), 1–31.

    Google Scholar 

  8. Belleflamme, P., Lambert, T., & Schwienbacher, A. (2010). Crowdfunding: An industrial organization perspective. In workshop “digital business models: Understanding strategies”, Paris, Frankreich

  9. Belleflamme, P., Lambert, T., & Schwienbacher, A. (2013). Individual crowdfunding practices. Venture Capital, 15(4), 313–333.

    Article  Google Scholar 

  10. Brock, T. C. (1968). Implications of commodity theory for value change. In A. G. Greenwald, T. C. Brock, & T. M. Ostrom (Eds.), Psychological foundations of attitudes (pp. 243–275). New York: Academic.

    Chapter  Google Scholar 

  11. Burtch, G., Ghose, A., & Wattal, S. (2012). An empirical examination of the antecedents and consequences of investment patterns in crowd-funded markets. SSRN Electronic Journal.

  12. Burtch, G., Ghose, A., & Wattal, S. (2013). An empirical examination of the antecedents and consequences of investment patterns in crowd-funded markets. Information Systems Research, 24, 499–519.

    Article  Google Scholar 

  13. Carr, S. (2013). Collective action and the financing of innovation: Evidence from crowdfunding. Darden Business School Working Paper No. 2450510. http://dx.doi.org/10.2139/ssrn.2450510. Accessed 21 Aug 2015.

  14. Chen, Y.-H., Hsu, I. C., & Lin, C.-C. (2010). Website attributes that increase consumer purchase intention: A conjoint analysis. Journal of Business Research, 63(9–10), 1007–1014.

    Article  Google Scholar 

  15. Chen, X. P., Yao, X., & Kotha, S. (2009). Entrepreneur passion and preparedness in business plan presentations: A persuasion analysis of venture capitalists’ funding decisions. Academy of Management Journal, 52(1), 199–214.

    Article  Google Scholar 

  16. Cholakova, M., & Clarysse, B. (2015). Does the possibility to make equity investments in crowdfunding projects crowd out reward-based investments? Entrepreneurship Theory and Practice, 39(1), 145–172.

    Article  Google Scholar 

  17. Clark, C. (2008). The impact of entrepreneurs’ oral ‘pitch’ Presentation skills on business angels’ initial screening investment decisions. Venture Capital, 10(3), 257–279.

    Article  Google Scholar 

  18. Colombo, M. G., Franzoni, C., & Rossi-Lamastra, C. (2015). Internal social capital and the attraction of early contributions in crowdfunding. Entrepreneurship Theory and Practice, 39(1), 75–100.

    Article  Google Scholar 

  19. Connelly, B. L., Certo, S. T., Ireland, R. D., & Reutzel, C. R. (2011). Signaling theory: A review and assessment. Journal of Management, 37(1), 39–67.

    Article  Google Scholar 

  20. Cordova, A. J. D., & Gianfrate, G. (2013). The bearable lightness of crowdfunding: Evidences from technology projects. In 4th European Conference on corporate R&D and innovation, Sevilla

  21. Cropanzano, R., & Mitchell, M. S. (2005). Social exchange theory: An interdisciplinary review. Journal of Management, 31(6), 874–900.

    Article  Google Scholar 

  22. Crosby, L. A., Evans, K. R., & Cowles, D. (1990). Relationship quality in services selling: an interpersonal influence perspective. Journal of Marketing, 54(3), 68–81.

    Article  Google Scholar 

  23. Cumming, D. J., Leboeuf, G., & Schwienbacher, A. (2014). Crowdfunding models: Keep-it-all vs. all-or-nothing. SSRN Electronic Journal

  24. Dichter, E. (1966). How word-of-mouth advertising works. Harvard Business Review, 44(6), 147–166.

    Google Scholar 

  25. Drake, J. R., Hall, D. J., Cegielski, C., & Byrd, T. A. (2015). An exploratory look at early online auction decisions: Extending signal theory. Journal of Theoretical and Applied Electronic Commerce Research, 10(1), 35–48.

    Article  Google Scholar 

  26. Draper, N. R., & Smith, H. (2014). Applied regression analysis (Wiley series in probability and statistics). New York: Wiley.

    Google Scholar 

  27. East, R., Hammond, K., & Lomax, W. (2008). Measuring the impact of positive and negative word of mouth on brand purchase probability. International Journal of Research in Marketing, 25(3), 215–224.

    Article  Google Scholar 

  28. Flanagin, A. J., Metzger, M. J., Pure, R., Markov, A., & Hartsell, E. (2014). Mitigating risk in ecommerce transactions: perceptions of information credibility and the role of user-generated ratings in product quality and purchase intention. Electronic Commerce Research, 14(1), 1–23.

    Article  Google Scholar 

  29. Fromkin, H. L. (1970). Effects of experimentally aroused feelings of undistinctiveness upon valuation of scarce and novel experiences. Journal of Personality and Social Psychology, 16(3), 521–529.

    Article  Google Scholar 

  30. Frydrych, D., Bock, A. J., Kinder, T., & Koeck, B. (2014). Exploring entrepreneurial legitimacy in reward-based crowdfunding. Venture Capital, 16(3), 247–269.

    Article  Google Scholar 

  31. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90.

    Google Scholar 

  32. Gefen, D., & Straub, D. W. (2004). Consumer trust in B2C e-commerce and the importance of social presence: Experiments in e-products and e-services. Omega, 32(6), 407–424.

    Article  Google Scholar 

  33. Giudici, G., Guerini, M., & Rossi Lamastra, C. (2013). Why crowdfunding projects can succeed: The role of proponents’ individual and territorial social capital. http://dx.doi.org/10.2139/ssrn.2255944. Accessed 19 Aug 2015.

  34. Gregg, D. G., & Walczak, S. (2010). The relationship between website quality, trust and price premiums at online auctions. Electronic Commerce Research, 10(1), 1–25.

    Article  Google Scholar 

  35. Hahn, J., & Lee, G. (2013) Archetypes of crowdfunders’ backing behaviors and the outcome of crowdfunding efforts: An exploratory analysis of kickstarter. In Conference on Information Systems and Technology (CIST 2013).

  36. Hair, J. F. (2006). Multivariate data analysis. Upper Saddle River, NJ: Pearson Prentice Hall.

    Google Scholar 

  37. Hazen, T. L. (2012). Crowdfunding or fraudfunding? social networks and the securities laws—Why the specially tailored exemption must be conditioned on meaningful disclosure. North Carolina Law Review, 90(5), 1735–1770.

    Google Scholar 

  38. Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the internet? Journal of Interactive Marketing, 18(1), 38–52.

    Article  Google Scholar 

  39. Herbig, P., & Milewicz, J. (1993). The relationship of reputation and credibility to brand success. Journal of Consumer Marketing, 10(3), 18–24.

    Article  Google Scholar 

  40. Herr, P. M., Kardes, F. R., & Kim, J. (1991). Effects of word-of-mouth and product-attribute information of persuasion: An accessibility-diagnosticity perspective. Journal of Consumer Research, 17(4), 454–462.

    Article  Google Scholar 

  41. Hui, J. S., Gerber, E. M., & Gergle, D. (2014). Understanding and Leveraging Social Networks for Crowdfunding. In CHI ‘14 Extended Abstracts on Human Factors in Computing Systems, Toronto

  42. Jansen, B. J., Zhang, M., Sobel, K., & Chowdury, A. (2009). Twitter power: Tweets as electronic word of mouth. Journal of the American Society for Information Science and Technology, 60(11), 2169–2188.

    Article  Google Scholar 

  43. Jiang, Z., & Benbasat, I. (2007). Investigating the influence of the functional mechanisms of online product presentations. Information Systems Research, 18(4), 454–470.

    Article  Google Scholar 

  44. Jiang, Z., Wang, W., & Benbasat, I. (2005). Multimedia-based interactive advising technology for online consumer decision support. Communication of the ACM, 48(9), 93–98.

    Article  Google Scholar 

  45. Johan, Å., & Nahid, S. (2000). The role of human web assistants in e-commerce: An analysis and a usability study. Internet Research, 10(2), 114–125.

    Article  Google Scholar 

  46. Kickstarter.com (2011). Kickstarter blog: shortening the maximum project length. Accessed August 18, 2015. https://www.kickstarter.com/blog/shortening-the-maximum-project-length

  47. Kickstarter.com (2015). Kickstarter blog: data. Accessed August 20, 2015 https://www.kickstarter.com/blog/categories/data?ref=blog-p1

  48. Kickstarter.com (2016). Staff picked. Accessed February 14, 2016 from https://www.kickstarter.com/discover/recommended?ref=home_staff_picks

  49. Kickstarter.com (2016). BULLET | World’s Smallest LED Flashlight. Accessed February 14, 2016 from https://www.kickstarter.com/projects/bullet/bullet-worlds-smallest-led-flashlight?lang=de

  50. Kuppuswamy, V., & Bayus, B. L. (2013). Crowdfunding creative ideas: The dynamics of project backers in kickstarter. UNC Kenan-Flagler Research Paper No. 2013–15. https://ssrn.com/abstract=2234765. Accessed 21 Aug 2015.

  51. Leclerc, F., Schmitt, B. H., & Dubé, L. (1995). Waiting time and decision making: is time like money? Journal of Consumer Research, 22(1), 110–119.

    Article  Google Scholar 

  52. Leite, P., & Moutinho, N. (2012). Innovation through crowdfunding: A quantitative and qualitative analysis of kickstarter. In 13te internationalen CINet Konferenz: Continuous Innovation Across Boundaries

  53. Lim, E., Tan, C.-W., Seo, D., Cyr, D., & de Vries, K. (2013). An empirical investigation of the impact of online product presentation on hedonic web shopping. Milan: Special Interest Group on Human Computer Interaction (SIGHCI).

    Google Scholar 

  54. Lin, X., Featherman, M., & Brooks, S. L. (2013). Factors affecting online consumer’s behavior: An investigation across gender. In proceedings of the nineteenth americas conference on information systems, Chicago

  55. Lindgaard, G., Fernandes, G., Dudek, C., & Brown, J. (2006). Attention web designers: You have 50 milliseconds to make a good first impression! Behaviour & Information Technology, 25(2), 115–126.

    Article  Google Scholar 

  56. Marom, D., & Sade, O. (2013). Are the life and death of a young start-up indeed in the power of the tongue? lessons from online crowdfunding pitches. SSRN Electronic Journal

  57. Martens, M. L., Jennings, J. E., & Jennings, P. D. (2007). Do the stories they tell get them the money they need? The role of entrepreneurial narratives in resource acqisition. Academy of Management Journal, 50(5), 1107–1132.

    Article  Google Scholar 

  58. Mason, C. M., & Harrison, R. T. (2004). Improving access to early stage venture capital in regional economies: A new approach to investment readiness. Local Economy, 19(2), 159–173.

    Article  Google Scholar 

  59. Massolution (2015). 2015CF Crowdfunding industry report. Accessed November 24, 2015. http://reports.crowdsourcing.org/index.php?route=product/product&product_id=54

  60. Mavlanova, T., Benbunan-Fich, R., & Koufaris, M. (2012). Signaling theory and information asymmetry in online commerce. Information & Management, 49(5), 240–247.

    Article  Google Scholar 

  61. Menard, S. (2002). Applied logistic regression analysis (applied logistic regression analysis). Thousand Oaks: SAGE Publications.

    Book  Google Scholar 

  62. Meyer, J., Gremler, D. D., & Hogreve, J. (2014). Do service guarantees guarantee greater market value? Journal of Service Research, 17(2), 150–163.

    Article  Google Scholar 

  63. Mitra, T., & Gilbert, E. (2014). The language that gets people to give. In Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing (pp. 49–61), San Francisco

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

    Article  Google Scholar 

  65. Moss, T. W., Neubaum, D. O., & Meyskens, M. (2015). The effect of virtuous and entrepreneurial orientations on microfinance lending and repayment: A signaling theory perspective. Entrepreneurship Theory and Practice, 39(1), 27–52.

    Article  Google Scholar 

  66. Mowen, J. C., & Mowen, M. M. (1991). Time and outcome valuation: implications for marketing decision making. Journal of Marketing, 55(4), 54–62.

    Article  Google Scholar 

  67. Mullen, B., & Johnson, C. (1990). The psychology of consumer behavior. Hillsdale: Lawrence Erlbaum Associates Inc.

    Google Scholar 

  68. Murray, K. B., & Häubl, G. (2008). Interactive consumer decision aids. In B. Wierenga (Ed.), Handbook of marketing decision models (pp. 55–79). New York: Springer.

    Chapter  Google Scholar 

  69. Nahapiet, J., & Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. The Academy of Management Review, 23(2), 242–266.

    Google Scholar 

  70. Ndofor, H. A., & Levitas, E. (2004). Signaling the strategic value of knowledge. Journal of Management, 30(5), 685–702.

    Article  Google Scholar 

  71. O’Keefe, R. M., & McEachern, T. (1998). Web-based customer decision support systems. Communication of the ACM, 41(3), 71–78.

    Article  Google Scholar 

  72. Palmer, J. W. (2002). Web site usability, design, and performance metrics. Information Systems Research, 13(2), 151–167.

    Article  Google Scholar 

  73. Patton, M. A., & Jøsang, A. (2004). Technologies for trust in electronic commerce. Electronic Commerce Research, 4(1–2), 9–21.

    Article  Google Scholar 

  74. Phlips, L. (1983). The economics of price discrimination. Cambridge: Cambridge University Press.

    Google Scholar 

  75. Pingjun, J., & Bert, R. (2005). Customer intention to return online: Price perception, attribute-level performance, and satisfaction unfolding over time. European Journal of Marketing, 39(1/2), 150–174.

    Article  Google Scholar 

  76. Pitschner, S., & Pitschner-Finn, S. (2014). Non-profit differentials in crowd-based financing: Evidence from 50,000 campaigns. Economics Letters, 123(3), 391–394.

    Article  Google Scholar 

  77. Qiu, C. (2013). Issues in crowdfunding: theoretical and empirical investigation on kickstarter. http://dx.doi.org/10.2139/ssrn.2345872. Accessed 20 Aug 2015.

  78. Ranganathan, C., & Ganapathy, S. (2002). Key dimensions of business-to-consumer web sites. Information & Management, 39(6), 457–465.

    Article  Google Scholar 

  79. Rao, H., Xu, A., Yang, X., & Fu, W.-T. (2014). Emerging dynamics in crowdfunding campaigns. In social computing, behavioral-cultural modeling and prediction (Vol. 8393, pp. 333–340), Washington, DC

  80. Riegner, C. (2007). Word of mouth on the web: the impact of web 2.0 on consumer purchase decisions. Journal of Advertising Research, 47(4), 436.

    Article  Google Scholar 

  81. Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159–170.

    Article  Google Scholar 

  82. Sotiriadis, M. D., & Zyl, C. V. (2013). Electronic word-of-mouth and online reviews in tourism services: the use of twitter by tourists. Electronic Commerce Research, 13(1), 103–124.

    Article  Google Scholar 

  83. Spence, M. (1973). Job market signaling. The Quarterly Journal of Economics, 87(3), 355–374.

    Article  Google Scholar 

  84. Spence, M. (2002). Signaling in retrospect and the informational structure of markets. The American Economic Review, 92(3), 434–459.

    Article  Google Scholar 

  85. Steuer, J. (1992). Defining virtual reality: dimensions determining telepresence. Journal of Communication, 42(4), 73–93.

    Article  Google Scholar 

  86. Stock, A., & Balachander, S. (2005). The making of a “Hot Product”: A signaling explanation of marketers’ scarcity strategy. Management Science, 51(8), 1181–1192.

    Article  Google Scholar 

  87. Taylor, S. E., & Brown, J. D. (1994). Positive illusions and well-being revisited: Separating fact from fiction. Psychological Bulletin, 116(1), 21–27.

    Article  Google Scholar 

  88. Thirumalai, S., & Sinha, K. K. (2011). Customization of the online purchase process in electronic retailing and customer satisfaction: an online field study. Journal of Operations Management, 29(5), 477–487.

    Article  Google Scholar 

  89. Tirdatov, I. (2014). Web-based crowd funding: rhetoric of success. Technical Communication, 61(1), 3–24.

    Google Scholar 

  90. Verhagen, T., Meents, S., & Tan, Y.-H. (2006). Perceived risk and trust associated with purchasing at electronic marketplaces. European Journal of Information Systems, 15(6), 542–555.

    Article  Google Scholar 

  91. Wan, W. W. N., Luk, C.-L., Fam, K.-S., Wu, P., & Chow, C. W. C. (2012). Interpersonal relationship, service quality, seller expertise: How important are they to adolescent consumers? Psychology & Marketing, 29(5), 365–377.

    Article  Google Scholar 

  92. Wash, R., & Solomon, J. (2014). Coordinating donors on crowdfunding websites. In 17th ACM conference on computer supported cooperative work and social computing (CSCW 2014) (pp. 38–48). Vancouver, BC

  93. Wells, J. D., Valacich, J. S., & Hess, T. J. (2011). What signal are you sending? How website quality influences perceptions of product quality and purchase intentions. MIS Quarterly, 35(2), 373–396.

    Google Scholar 

  94. Xu, A., Yang, X., Rao, H., Fu, W.-T., Huang, S.-W., & Bailey, B. P. (2014). Show me the money! In ACM CHI conference on human factors in computing systems (pp. 591–600), Toronto, Canada

  95. Zheng, H., Li, D., Wu, J., & Xu, Y. (2014). The role of multidimensional social capital in crowdfunding: A comparative study in China and US. Information & Management, 51(4), 488–496.

    Article  Google Scholar 

  96. Zvilichovsky, D., Inbar, Y., & Barzilay, O. (2013). Playing both sides of the market: Success and reciprocity on crowdfunding platforms. In 34th international conference on information systems (ICIS 2013). Milan, Italy.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michael Marcin Kunz.

Appendices

Appendix 1

See Table 6.

Table 6 Literature review on success factors in reward-based CF (own elaboration)

Appendix 2

See Figs. 2, 3 and 4.

Fig. 2
figure 2

Variables from project website [49]

Fig. 3
figure 3

Variables from initiator bio [49]

Fig. 4
figure 4

Variables from staff picked webpage [48]

Appendix 3

See Table 7.

Table 7 Descriptive data for successful and unsuccessful projects (own illustration)

Appendix 4

See Table 8.

Table 8 Correlation matrix (own illustration)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kunz, M.M., Bretschneider, U., Erler, M. et al. An empirical investigation of signaling in reward-based crowdfunding. Electron Commer Res 17, 425–461 (2017). https://doi.org/10.1007/s10660-016-9249-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10660-016-9249-0

Keywords

Navigation