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Does Money Talk? The Impact of Monetary Incentives on User-Generated Content Contributions

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  • Yuewen Liu

    (Department of Information Management and E-Commerce, School of Management, Xi’an Jiaotong University, Xi’an 710049, China)

  • Juan Feng

    (Department of Management Science and Engineering, School of Economics and Management and Shenzhen International Graduate School, Tsinghua University, Shenzhen 518071, China)

Abstract

Many platforms use monetary incentives to encourage user-generated content (UGC) contributions. However, empirical studies report contradictory findings: monetary incentives may either increase or decrease contribution. To understand the underlying mechanisms, we build a theoretical model where four types of contributors (classified by whether they contribute without monetary incentive and whether they are effective in attracting audience) compete for the audience. We identify two crowding out effects: (1) motivation crowding out , where the introduction of a monetary incentive reduces the non–money-driven contributors’ motivation to contribute (e.g., contributors may worry that they would be viewed as greedy), so they reduce their effort or even stop contributing; and (2) competition crowding out , where the low-effectiveness contributors reduce their effort or even stop contributing because of intensified competition when the monetary incentive increases. Under the influence of these two crowding-out effects, the impact of a monetary incentive on the contributors’ participation and on their total content volume is not monotonic. As a result, different equilibrium outcomes emerge as the monetary incentive increases. We also extend our model to the case where the number of contributors in each type could be different and identify more complicated crowding-out phenomena. Our findings offer guidelines for designing monetary incentive schemes for online UGC platforms.

Suggested Citation

  • Yuewen Liu & Juan Feng, 2021. "Does Money Talk? The Impact of Monetary Incentives on User-Generated Content Contributions," Information Systems Research, INFORMS, vol. 32(2), pages 394-409, June.
  • Handle: RePEc:inm:orisre:v:32:y:2021:i:2:p:394-409
    DOI: 10.1287/isre.2020.0971
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    Cited by:

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    4. Dong, Ruixiao & Guan, Xu & Han, Xiaohua & Jiang, Yuan, 2026. "Content moderation and creator incentives mechanism amidst controversial content surges," Omega, Elsevier, vol. 138(C).
    5. Dongcheng Zhang & Hanchen Jiang & Maoshan Qiang & Kunpeng Zhang & Liangfei Qiu, 2025. "Time to Stop? An Empirical Investigation on the Consequences of Canceling Monetary Incentives on a Digital Platform," Information Systems Research, INFORMS, vol. 36(2), pages 781-801, June.
    6. Xinyu Li & Keongtae Kim, 2025. "Impacts of generative AI on user contributions: evidence from a coding Q &A platform," Marketing Letters, Springer, vol. 36(3), pages 577-591, September.
    7. Meilin Gu & Dengpan Liu & Subodha Kumar, 2025. "Navigating Platform-Led Affiliate Marketing: Implications for Content Creation and Platform Profitability," Information Systems Research, INFORMS, vol. 36(2), pages 802-827, June.
    8. Bian, Bei & Wang, Haiyan, 2025. "Quality management and feedback operation for user-generated content considering dynamic value belief," European Journal of Operational Research, Elsevier, vol. 325(2), pages 344-361.
    9. Yonghong Sun, 2023. "An economic analysis of different types of subsidies by UGC platforms," Information Technology and Management, Springer, vol. 24(3), pages 221-231, September.
    10. Radha Mookerjee & Wael Jabr & Harpreet Singh, 2023. "A boosting policy to optimize user forum performance: Model and validation," Production and Operations Management, Production and Operations Management Society, vol. 32(12), pages 3873-3889, December.
    11. Prasenjit Mandal & Abhishek Roy, 2026. "Fighting Together: Agency vs. Wholesale Distribution Contracts for Digital Content Supply Chains in the Presence of Piracy," Manufacturing & Service Operations Management, INFORMS, vol. 28(1), pages 231-254, January.
    12. Xueyu Liu & Shue Mei & Weijun Zhong, 2024. "UGC creator's video‐generation and program‐participation decisions in the presence of ad‐revenue‐sharing programs," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(6), pages 4330-4349, September.
    13. Hemant K. Bhargava, 2022. "The Creator Economy: Managing Ecosystem Supply, Revenue Sharing, and Platform Design," Management Science, INFORMS, vol. 68(7), pages 5233-5251, July.
    14. Hongfei Li & Jing Peng & Gang Wang & Xue Bai, 2024. "The Impact of Process- vs. Outcome-Oriented Reviews on the Sales of Healthcare Services," Information Systems Research, INFORMS, vol. 35(4), pages 1909-1927, December.
    15. Heeseung Andrew Lee & Angela Aerry Choi & Wonseok Oh & Tianshu Sun, 2025. "To Split or to Merge? How Partitioning Affects Consumption and Engagement with Digital Content," Information Systems Research, INFORMS, vol. 36(4), pages 2170-2190, December.
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    17. Dandan Qiao & Huaxia Rui, 2023. "Text Performance on the Vine Stage? The Effect of Incentive on Product Review Text Quality," Information Systems Research, INFORMS, vol. 34(2), pages 676-697, June.

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