{"title":"Strategy for complementor under platform owner’s entry with vertically differentiated content","authors":"Zhiguo Li, Rui Dong, Qianqian Cao, Hongwu Zhang","doi":"10.1007/s00500-024-09666-3","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":22039,"journal":{"name":"Soft Computing","volume":"193 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soft Computing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s00500-024-09666-3","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.