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Metaverse platform ecosystems

Author

Listed:
  • Sofia Marlena Schöbel

    (University of Osnabrück, Osnabrück)

  • Jan Marco Leimeister

    (University of St. Gallen
    University of Kassel)

Abstract

Traditionally, the metaverse has been defined as a virtual reality space in which users can interact with a computer-generated environment and other users. Nowadays, it is much more than that—the metaverse can be described as a variety of digital platforms and ecosystems, with each ecosystem as an independent universe with its own material, complementors, and functionalities. Creating metaverse ecosystems and integrated platforms results in different roles and responsibilities for complementors, consumers, platform owners, and orchestrators. The term metaverse platforms is further structured and clarified by four perspectives: innovation, production, transaction, and social interaction. Consequently, this fundamental paper defines it as: “A Metaverse is a massively scaled and interoperable meta-ecosystem of other digital ecosystems of real-time rendered 3D virtual worlds which can be experienced synchronously and persistently by an unlimited number of complementors and consumers with an increased user experience caused by a creativity-guided co-creation of goods managed by orchestrators and supported by platform owners.” Consequently, the metaverse offers vast opportunities for digital innovations beyond traditional social media or computer games and creates new infrastructures for add-on innovations in all areas of the digital economy.

Suggested Citation

  • Sofia Marlena Schöbel & Jan Marco Leimeister, 2023. "Metaverse platform ecosystems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-10, December.
    • Handle: RePEc:spr:elmark:v:33:y:2023:i:1:d:10.1007_s12525-023-00623-w
    DOI: 10.1007/s12525-023-00623-w
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    References listed on IDEAS

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    1. Choi, Hee-soo & Kim, Sang-heon, 2017. "A content service deployment plan for metaverse museum exhibitions—Centering on the combination of beacons and HMDs," International Journal of Information Management, Elsevier, vol. 37(1), pages 1519-1527.
    2. Christian Peukert & Christof Weinhardt & Oliver Hinz & Wil M. P. Aalst, 2022. "Metaverse: How to Approach Its Challenges from a BISE Perspective," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(4), pages 401-406, August.
    3. Urquhart, Andrew, 2016. "The inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 148(C), pages 80-82.
    4. Ramazan Esmeli & Mohamed Bader-El-Den & Hassana Abdullahi, 2021. "Towards early purchase intention prediction in online session based retailing systems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 697-715, September.
    5. Ruwan Bandara & Mario Fernando & Shahriar Akter, 2020. "Privacy concerns in E-commerce: A taxonomy and a future research agenda," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(3), pages 629-647, September.
    6. Rainer Alt, 2020. "Evolution and perspectives of electronic markets," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(1), pages 1-13, March.
    7. Dowling, Michael, 2022. "Fertile LAND: Pricing non-fungible tokens," Finance Research Letters, Elsevier, vol. 44(C).
    8. Tobias Kretschmer & Aija Leiponen & Melissa Schilling & Gurneeta Vasudeva, 2022. "Platform ecosystems as meta‐organizations: Implications for platform strategies," Strategic Management Journal, Wiley Blackwell, vol. 43(3), pages 405-424, March.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Metaverse; Platform; Ecosystem;
    All these keywords.

    JEL classification:

    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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