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Winner does not take all: Selective attention and local bias in platform-based markets

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  • Huotari, Pontus
  • Järvi, Kati
  • Kortelainen, Samuli
  • Huhtamäki, Jukka

Abstract

We model how macro-level dynamics of platform competition emerge from micro-level interactions among consumers. We problematize the prevailing winner-take-all hypothesis and argue that instead of assuming that consumers value the general connectivity of an entire network, they are selectively attentive and locally biased. We contrast several alternative agent-based models with differing sets of assumptions regarding consumer agents' behavior and compare their predictions with empirical data from the competition between Sony's PlayStation 3 and Microsoft's Xbox 360. The results show that only when consumers are assumed to be selectively attentive and locally biased is it possible to explain real-life market sharing between the given platforms. In effect, it is shown how a late-entrant platform can get adopted by most consumers in the market, despite the fact that an early entrant has greater initial installed base, greater pool of complementary products, and lower initial price.

Suggested Citation

  • Huotari, Pontus & Järvi, Kati & Kortelainen, Samuli & Huhtamäki, Jukka, 2017. "Winner does not take all: Selective attention and local bias in platform-based markets," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 313-326.
  • Handle: RePEc:eee:tefoso:v:114:y:2017:i:c:p:313-326
    DOI: 10.1016/j.techfore.2016.08.028
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    2. Cenamor, Javier & Frishammar, Johan, 2021. "Openness in platform ecosystems: Innovation strategies for complementary products," Research Policy, Elsevier, vol. 50(1).
    3. Yuki Inoue & Masataka Hashimoto & Takeshi Takenaka, 2019. "Effectiveness of Ecosystem Strategies for the Sustainability of Marketplace Platform Ecosystems," Sustainability, MDPI, vol. 11(20), pages 1-33, October.
    4. Rong, Ke & Ren, Qun & Shi, Xianwei, 2018. "The determinants of network effects: Evidence from online games business ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 45-60.
    5. Feng Fu & Shuangying Chen & Wei Yan, 2023. "Implications of e-tailers’ transition from reselling to the combined reselling and agency selling," Electronic Commerce Research, Springer, vol. 23(3), pages 1885-1920, September.
    6. Kapoor, Kawaljeet & Ziaee Bigdeli, Ali & Dwivedi, Yogesh K. & Schroeder, Andreas & Beltagui, Ahmad & Baines, Tim, 2021. "A socio-technical view of platform ecosystems: Systematic review and research agenda," Journal of Business Research, Elsevier, vol. 128(C), pages 94-108.
    7. Knudsen, Eirik Sjåholm & Belik, Ivan, 2023. "The Achilles heel of interconnected user networks: Network firms and the vulnerability of rapid decline," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    8. Nishikawa, Bruna T. & Orsato, Renato J., 2021. "Professional services in the age of platforms: Towards an analytical framework," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    9. Kapoor, Kawaljeet & Bigdeli, Ali Ziaee & Schroeder, Andreas & Baines, Tim, 2022. "A platform ecosystem view of servitization in manufacturing," Technovation, Elsevier, vol. 118(C).
    10. Yuki Inoue & Takeshi Takenaka & Koichi Kurumatani, 2019. "Sustainability of Service Intermediary Platform Ecosystems: Analysis and Simulation of Japanese Hotel Booking Platform-Based Markets," Sustainability, MDPI, vol. 11(17), pages 1-22, August.
    11. Thomas Clauss & Peter Harengel & Marianne Hock, 2019. "The perception of value of platform-based business models in the sharing economy: determining the drivers of user loyalty," Review of Managerial Science, Springer, vol. 13(3), pages 605-634, June.

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