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Artificial Intelligence Feedback Loops in Mobile Platform Business Models

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Abstract

Innovation in wireless technologies enables business value creation through product and business process innovation. However, business model innovation is the most potent type of digital transformation. The platform business model has attracted significant attention in business research and practice, but mobile platform business models are not well understood. This article proposes a dynamic model that accounts for the dynamic complexity of the mobile platform business model and associated platform ecosystems, focusing on multi-platform firms. Our model maps the key strategic feedback loops that constitute the core structure of the mobile business model. The article provides insights for entrepreneurs who seek to build and optimize mobile platforms. Entrepreneurs should seek to understand and leverage the AI feedback loops that affect their business model.

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Notes

  1. https://en.wikipedia.org/wiki/List_of_mobile_app_distribution_platforms

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Authors and Affiliations

  1. Gabelli School of Business, Fordham University, New York, NY, USA

    Evangelos Katsamakas

  2. Worcester Polytechnic Institute, Worcester, MA, USA

    Oleg V. Pavlov

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  1. Evangelos Katsamakas
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  2. Oleg V. Pavlov
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Correspondence to Evangelos Katsamakas.

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Katsamakas, E., Pavlov, O.V. Artificial Intelligence Feedback Loops in Mobile Platform Business Models. Int J Wireless Inf Networks 29, 250–256 (2022). https://doi.org/10.1007/s10776-022-00556-9

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  • DOI: https://doi.org/10.1007/s10776-022-00556-9

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