An economic analysis of different types of subsidies by UGC platforms

Information Technology and Management - Tập 24 - Trang 221-231 - 2022
Yonghong Sun1
1School of Management, Xi’an Jiaotong University, Xi’an, China

Tóm tắt

In this study, we build an economic model to explore the user-generated content (UGC) subsidy issue in the context of two-sided UGC platforms. Most UGC platforms subsidize content providers to encourage them to provide more content with higher quality. However, are these subsidies effective? Which type of subsidy is more effective? Here, we examine and compare the effectiveness of different types of subsides for UGC platforms. First, although the underlying reasons are different, both quantity and attention subsidies can induce users to provide more content with higher quality. Second, given the same level of small subsidy, the attention subsidy is more effective in encouraging better UGC quantity and quality. Third, the optimal subsidy level positively depends on the content provider’s sensitivity to the subsidy. In most cases, the magnitude of the optimal quantity subsidy should be larger than that of the optimal attention subsidy. Finally, to maintain or improve UGC quality, the platform should set a threshold to restrict the amount of content accessible to viewers. Doing so can prevent content providers from offering more content at the expense of content quality.

Tài liệu tham khảo

Liu Y, Feng J (2021) Does money talk? The impact of monetary incentives on user-generated content contributions. Inf Syst Res 32(2):394–409 Chen J, Xu H, Whinston AB (2011) Moderated online communities and quality of user-generated content. J Manag Inf Syst 28(2):237–268 Ghosh A, Hummel P (2011) A game-theoretic analysis of rank-order mechanisms for user-generated content. In: Proceedings of the 12th ACM conference on electronic commerce. Association for Computing Machinery, New York, pp. 189–198 Ghosh A, Hummel P (2014) A game-theoretic analysis of rank-order mechanisms for user-generated content. J Econ Theory 154:349–374 Ghosh A, McAfee P (2011) Incentivizing high-quality user-generated content. In: Proceedings of the 20th international conference on world wide web. Association for Computing Machinery, Hyderabad, pp. 137–146 Ren S, Park J, Schaar MVD (2011) Profit maximization on user-generated content platforms. In: Paper presented at the 2011 49th annual allerton conference on communication, control, and computing (Allerton) Ren S, Park J, Schaar MVD (2012) Maximizing profit on user-generated content platforms with heterogeneous participants. In: Paper presented at the 2012 proceedings IEEE INFOCOM, Orlando Jain S, Chen Y, Parkes DC (2014) Designing incentives for online question-and-answer forums. Games Econ Behav 86:458–474 Ji Q, Shen H, Mao Y, Zhu Y (2014). Stimulating high quality social media through knowledge barter-auctioning. In: Paper presented at the international conference on social computing, Beijing Easley D, Ghosh A (2016) Incentives, gamification, and game theory: an economic approach to badge design. ACM Trans Econ Comput 4(3):1–26 Constant D, Sproull L, Kiesler S (1996) The kindness of strangers: the usefulness of electronic weak ties for technical advice. Organ Sci 7(2):119–135 Ma M, Agarwal R (2007) Through a glass darkly: information technology design, identity verification, and knowledge contribution in online communities. Inf Syst Res 18(1):42–67 Levine S, Shah S (2004) A framework for collective open innovation: university of Illinois at Urbana-Champaign, college of business, working papers. Harhoff D, Henkel J, Von Hippel E (2003) Profiting from voluntary information spillovers: how users benefit by freely revealing their innovations. Res Policy 32(10):1753–1769 Clare S, Mahony O (2002) The emergence of a new commercial actor: community managed software projects. Stanford University, CA Hars A, Qu S (2002) Working for free? Motivations for participating in open-source projects. Int J Electron Commer 6(3):25 Roberts JA, Il-Horn H, Slaughter SA (2006) Understanding the motivations, participation, and performance of open source software developers: a longitudinal study of the apache projects. Manag Sci 52(7):984–999 Wasko M, Faraj S (2005) Why should i share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Q 29(1):35–57 Shen W, Hu YJ, Rees Ulmer J (2015) Competing for attention: an empirical study of online reviewers’ strategic behavior. MIS Q 39(3):683–696 Sun M, Zhu F (2013) Ad revenue and content commercialization: evidence from blogs. Manag Sci 59(10):2314–2331 Pavlou P, Wang S (2015) How do monetary incentives affect online product reviews and sales? AMCIS, Puerto Rico Sun Y, Dong X, McIntyre S (2017) Motivation of user-generated content: social connectedness moderates the effects of monetary rewards. Mark Sci 36(3):329–337 Wang J, Ghose A, Ipeirotis P (2012) Bonus, disclosure, and choice: What motivates the creation of high-quality paid reviews? Paper presented at the ICIS 2012. Orlando, USA Zhao L, Detlor B, Connelly CE (2016) Sharing knowledge in social Q&A sites: the unintended consequences of extrinsic motivation. J Manag Inf Syst 33(1):70–100 Tirole J (1988) The theory of industrial organization. MIT Press, Cambridge Lerner J, Tirole J (2005) Economic perspectives on open source. In: Feller J, Fitzgerald B, Hissam SA, Lakhani KR (eds) Cambridge, perspectives on free and open source software. MIT Press, Cambridge MA, pp 47–78 Auchard, E. 2007. Participation on web 2.0 sites remains weak. http://www.reuters.com/article/internetNews/idUSN1743638820070418