The equivalence of incentive schemes in content platforms: an equilibrium analysis

Junkai Hu et al.

Journal of Modelling in Management2026https://doi.org/10.1108/jm2-11-2025-0646article
AJG 1ABDC C
Weight
0.50

What the paper says

Purpose For most platforms, a key challenge is to design appropriate incentive mechanisms that effectively motivate relevant participants in an open environment. In this paper, the authors aim to focus on a three-sided content platform involving creators, users and advertisers and investigate the strategic design of such mechanisms. Specifically, this study analyzes and compares three common incentive schemes: content-volume-based, view-volume-based and a hybrid of the previous two. Design/methodology/approach Using a game-theoretic model that captures the interactions among all parties, this study derives closed-form equilibrium solutions for the platform’s optimal incentive fees and advertising prices, as well as for creators’ content-production levels and payoffs. Findings The analysis reveals a striking equivalence among the three schemes: despite their structural differences, they yield identical equilibrium outcomes in content production, user engagement, advertising metrics and platform profit. Moreover, the optimal hybrid incentive fees are simply a convex combination of optimal incentive fees under the two pure schemes, giving managers budgetary flexibility without affecting performance. Originality/value This study contributes to the literature on multisided platforms by demonstrating the strategic substitutability of common incentive structures and by providing a unified framework for understanding platform design when advertising levels and creator competition are endogenous.

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https://doi.org/https://doi.org/10.1108/jm2-11-2025-0646

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@article{junkai2026,
  title        = {{The equivalence of incentive schemes in content platforms: an equilibrium analysis}},
  author       = {Junkai Hu et al.},
  journal      = {Journal of Modelling in Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/jm2-11-2025-0646},
}

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The equivalence of incentive schemes in content platforms: an equilibrium analysis

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.