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Business models for the simulation hypothesis

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  • Evangelos Katsamakas

Abstract

The simulation hypothesis suggests that we live in a computer simulation. That notion has attracted significant scholarly and popular interest. This article explores the simulation hypothesis from a business perspective. Due to the lack of a name for a universe consistent with the simulation hypothesis, we propose the term simuverse. We argue that if we live in a simulation, there must be a business justification. Therefore, we ask: If we live in a simuverse, what is its business model? We identify and explore business model scenarios, such as simuverse as a project, service, or platform. We also explore business model pathways and risk management issues. The article contributes to the simulation hypothesis literature and is the first to provide a business model perspective on the simulation hypothesis. The article discusses theoretical and practical implications and identifies opportunities for future research related to sustainability, digital transformation, and Artificial Intelligence (AI).

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  • Evangelos Katsamakas, 2024. "Business models for the simulation hypothesis," Papers 2404.08991, arXiv.org.
    • Handle: RePEc:arx:papers:2404.08991
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    References listed on IDEAS

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    1. Nicholas Economides & Evangelos Katsamakas, 2006. "Two-Sided Competition of Proprietary vs. Open Source Technology Platforms and the Implications for the Software Industry," Management Science, INFORMS, vol. 52(7), pages 1057-1071, July.
    2. Nicholas C. Georgantzas & Evangelos G. Katsamakas, 2008. "Information systems research with system dynamics," System Dynamics Review, System Dynamics Society, vol. 24(3), pages 247-264, September.
    3. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    4. Pavlov, Oleg V. & Katsamakas, Evangelos, 2023. "Tuition too high? Blame competition," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 409-431.
    5. Oleg V Pavlov & Evangelos Katsamakas, 2020. "Will colleges survive the storm of declining enrollments? A computational model," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-29, August.
    6. Olivier Morin & Alberto Acerbi & Oleg Sobchuk, 2019. "Why people die in novels: testing the ordeal simulation hypothesis," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-10, December.
    7. Geoffrey G. Parker & Marshall W. Van Alstyne, 2005. "Two-Sided Network Effects: A Theory of Information Product Design," Management Science, INFORMS, vol. 51(10), pages 1494-1504, October.
    8. Alex Davies & Petar Veličković & Lars Buesing & Sam Blackwell & Daniel Zheng & Nenad Tomašev & Richard Tanburn & Peter Battaglia & Charles Blundell & András Juhász & Marc Lackenby & Geordie Williamson, 2021. "Advancing mathematics by guiding human intuition with AI," Nature, Nature, vol. 600(7887), pages 70-74, December.
    9. Evangelos Katsamakas & Kostapanos Miliaresis & Oleg V. Pavlov, 2022. "Digital Platforms for the Common Good: Social Innovation for Active Citizenship and ESG," Sustainability, MDPI, vol. 14(2), pages 1-12, January.
    10. John J. Horton, 2023. "Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?," NBER Working Papers 31122, National Bureau of Economic Research, Inc.
    11. John J. Horton, 2023. "Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?," Papers 2301.07543, arXiv.org.
    12. Parmar, Rashik & Leiponen, Aija & Thomas, Llewellyn D.W., 2020. "Building an organizational digital twin," Business Horizons, Elsevier, vol. 63(6), pages 725-736.
    13. Fei Tao & Qinglin Qi, 2019. "Make more digital twins," Nature, Nature, vol. 573(7775), pages 490-491, September.
    14. Jake M. Hofman & Duncan J. Watts & Susan Athey & Filiz Garip & Thomas L. Griffiths & Jon Kleinberg & Helen Margetts & Sendhil Mullainathan & Matthew J. Salganik & Simine Vazire & Alessandro Vespignani, 2021. "Integrating explanation and prediction in computational social science," Nature, Nature, vol. 595(7866), pages 181-188, July.
    15. Nicholas C. Georgantzas & Evangelos Katsamakas, 2007. "Disruptive Innovation Strategy Effects on Hard-Disk Maker Population: A System Dynamics Study," Information Resources Management Journal (IRMJ), IGI Global, vol. 20(2), pages 90-107, April.
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