Zhiyong Li
College of Management and Economics
7 Papers
2 Citations
Zhiyong Li is an academic researcher from College of Management and Economics. The author has contributed to research in topics: Feed-in tariff & Broadband networks. The author has an hindex of 4, co-authored 5 publications.
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Papers
Advertising or Freemium: The Impacts of Social Effects and Service Quality on Competing Platforms
TL;DR: The impacts of social effects and service quality on business model decisions through a game-theoretic model is addressed and it is found that the advertising (freemium) strategy is dominant for each platform when its premium service quality is too low (high).
61
Two-tier regulation models for the user-generated content platform: A game theoretic analysis
TL;DR: In this article , the authors explore the optimal regulation strategies of the government and platforms to provide guidelines for how to maintain the order of user-generated content platforms and prevent adverse social events.
7
A novel pricing strategy for mobile broadband carriers using two-stage Stackelberg model
TL;DR: A two-stage Stackelberg model in a duopolistic mobile network market is proposed and it is found that the equal data arrival rate to the mobile broadband carriers is only one stable state in the follower game.
4
Agency or resale: Effects of a platform-performance investment for frenemy platforms
Zhiyong Li,Yi-Chun Ho,Guofang Nan,Minqiang Li +3 more
- 01 Sep 2019
TL;DR: A stylized model is developed to investigate the effects of a platform-performance investment on a business-model decision by examining a platform ecosystem that consists of a unit mass of users, a content provider, and two downstream competing platform owners and finds that, when the unit misfit cost of hardware is much less than that of the content, the agency (resale) model will be adopted by both platform owners.
Optimal IP-based content provision model for digital content platforms
Liyuan Yang,Zhiyong Li,Guo-jun Nan,Dahui Li,Minqiang Li +4 more
TL;DR: This study develops an analytical model to determine the optimal IP-based content provision model for digital platforms, considering demand, cost efficiency, and revenue generation capacity, to achieve a win-win-win outcome for platforms, IP holders, and consumers.