平台所有者以垂直差异化内容进入市场时的补充者战略

IF 3.1 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Soft Computing Pub Date : 2024-08-20 DOI:10.1007/s00500-024-09666-3
Zhiguo Li, Rui Dong, Qianqian Cao, Hongwu Zhang
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引用次数: 0

摘要

在平台上提供内容的补充者越来越受到平台所有者进入市场的威胁。平台所有者可以通过自我生产或雇佣补充者生产的方式提供垂直差异化内容,从而进入内容市场。考虑到需求互补性、垂直内容差异化和消费者异质性对双方策略的影响,我们建立了一个博弈论模型来分析平台所有者的进入决策和补充者的应对策略。我们发现,垂直内容差异化会放宽进入的边界条件,当平台所有者拥有内容价值优势时,垂直内容差异化会更加明显。然而,我们的研究表明,尽管补充者可能在内容价值、价格或销售量上占有优势,但一旦进入市场,它就会面临依赖性困境。此外,我们还证明了第二方合作可以缓解依存困境,并通过利用平台所有者的营销效率和补充者的内容生产效率创造 "双赢 "局面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Strategy for complementor under platform owner’s entry with vertically differentiated content

Complementors who provide content on platforms are increasingly threatened by the entry of platform owners. Platform owners may enter the content market through offering vertically differentiated content either by self producing or hiring the complementor to produce. We build a game-theoretic model to analyze the platform owner’s entry decisions and the complementor’s response strategy considering the effects of demand complementarity, vertical content differentiation and consumer heterogeneity to both players’ strategies. We find that vertical content differentiation relaxes boundary conditions of entry, and it is more obvious when the platform owner has advantage in content value. However, we show that though the complementor may hold advantages on content value, price, or sales volume, it faces dependent dilemma once entry happens. Further, we demonstrate that second-party cooperation may mitigate the dependent dilemma and create a “win–win” situation through leveraging the platform owner’s efficiency in marketing and the complementor’s efficiency in content producing.

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来源期刊
Soft Computing
Soft Computing 工程技术-计算机:跨学科应用
CiteScore
8.10
自引率
9.80%
发文量
927
审稿时长
7.3 months
期刊介绍: Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications. As a result, the journal is an international forum for all scientists and engineers engaged in research and development in this fast growing field.
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