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Strategic Game Release Timing in Competitive Markets with Network Effects

Wu, Di, Wang, Jingting, Li, Jian, Peng, Rui, Wu, Shaomin (2026) Strategic Game Release Timing in Competitive Markets with Network Effects. IEEE Transactions on Engineering Management, . ISSN 0018-9391. E-ISSN 1558-0040. (doi:10.1109/TEM.2026.3721853) (KAR id:115887)

Abstract

The gaming industry is thriving, propelled by rapid advances in digital technology and a steadily expanding player base. Game publishers adopt a variety of release strategies: Some games are released on schedule, while others experience delays, a phenomenon commonly referred to as “slips.” Moreover, the growing size of the gaming community also generates significant network effects: as more players engage with a game, enthusiasm spreads, enriching the overall player experience. This paper examines the release strategies of game publishers in a competitive market where player engagement is shaped by network effects. Utilizing a game-theoretic model, we find that (1) immediate release is optimal when the initial quality gap is small or the cost of delay is high, (2) a fast slip strategy dominates when the quality gap is moderate and can be substantially reduced in a short time, and (3) a slow slip strategy is preferred when the gap is large, quality can be improved rapidly, and postponement is relatively inexpensive. The paper also considers the possibility of “reverse slip”, releasing earlier than planned. Extending the model to competing publishers, we derive equilibrium conditions for release-timing choices and show that both slip strategies remain viable, depending on quality differences among games. We further substantiate these analytical results with real-world numerical evidence from major game releases, showing that well-timed acceleration or postponement can improve launch outcomes, whereas releasing with unresolved quality problems may lead to severe post-launch penalties. Our findings offer actionable guidance for release planning that jointly considers quality evolution, network effects, and competitive dynamics.

Item Type: Article
DOI/Identification number: 10.1109/TEM.2026.3721853
Additional information: For the purpose of open access, the author(s) has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising.
Subjects: Q Science > Operations Research - Theory
Institutional Unit: Schools > Kent Business School
Former Institutional Unit:
There are no former institutional units.
Funders: University of Kent (https://ror.org/00xkeyj56)
Depositing User: Shaomin Wu
Date Deposited: 11 Aug 2026 21:08 UTC
Last Modified: 12 Aug 2026 10:53 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/115887 (The current URI for this page, for reference purposes)

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