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The impact of the metaverse on e-commerce business models – A delphi-based scenario study

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  • Büchel, Hendrik
  • Spinler, Stefan

Abstract

Despite the current buzz for the metaverse, its evolution has yet to be determined, and there is still a great deal of ambiguity, resulting in difficulties to forecast future opportunities. A deeper comprehension of the metaverse ecosystem is crucial to facilitate long-term planning and the dynamic adaptation of business models in the closely related e-commerce sector. Consequently, the main objective of this paper is to explore how the metaverse impacts e-commerce business models. A two-round Delphi-based scenario study (time horizon 2035) was conducted with 26 participating experts to achieve the objective. Based on the expert responses, twenty projections were clustered into three possible future scenarios: (1) immersive and emotional commerce, (2) altered digital landscape, and (3) game changer. The scenarios indicate that the metaverse development will strongly influence e-commerce business models at the customer interface and core strategy. New business models will emerge, and existing business models will adopt the metaverse as an additional channel. As purely digital products gain increased importance, the digital landscape will be altered to fulfill new customer requests. Although improbable by 2035, the game-changing scenario entails a complete transition to digital products and the replacement of present e-commerce with metaverse commerce.

Suggested Citation

  • Büchel, Hendrik & Spinler, Stefan, 2024. "The impact of the metaverse on e-commerce business models – A delphi-based scenario study," Technology in Society, Elsevier, vol. 76(C).
  • Handle: RePEc:eee:teinso:v:76:y:2024:i:c:s0160791x24000137
    DOI: 10.1016/j.techsoc.2024.102465
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    1. Ancillai, Chiara & Sabatini, Andrea & Gatti, Marco & Perna, Andrea, 2023. "Digital technology and business model innovation: A systematic literature review and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    2. Weking, Jörg & Desouza, Kevin C. & Fielt, Erwin & Kowalkiewicz, Marek, 2023. "Metaverse-enabled entrepreneurship," Journal of Business Venturing Insights, Elsevier, vol. 19(C).
    3. Tracy Harwood, 2012. "Emergence of Gamified Commerce: Turning Virtual to Real," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 10(2), pages 16-39, April.
    4. Lehdonvirta, Vili & Castronova, Edward, 2014. "Virtual Economies: Design and Analysis," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262027259, April.
    5. Fionn Murtagh & Pierre Legendre, 2014. "Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?," Journal of Classification, Springer;The Classification Society, vol. 31(3), pages 274-295, October.
    6. Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Stahre, Johan, 2017. "Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030," International Journal of Production Economics, Elsevier, vol. 191(C), pages 154-169.
    7. von der Gracht, Heiko A. & Darkow, Inga-Lena, 2010. "Scenarios for the logistics services industry: A Delphi-based analysis for 2025," International Journal of Production Economics, Elsevier, vol. 127(1), pages 46-59, September.
    8. Yoo, Kiwoong & Welden, Roman & Hewett, Kelly & Haenlein, Michael, 2023. "The merchants of meta: A research agenda to understand the future of retailing in the metaverse," Journal of Retailing, Elsevier, vol. 99(2), pages 173-192.
    9. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
    10. Keegan, Brendan James & McCarthy, Ian P. & Kietzmann, Jan & Canhoto, Ana Isabel, 2024. "On your marks, headset, go! Understanding the building blocks of metaverse realms," Business Horizons, Elsevier, vol. 67(1), pages 107-119.
    11. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
    12. Maik A. Lindner & Luis M. Vaquero & Luis Rodero-Merino & Juan Caceres, 2010. "Cloud economics: dynamic business models for business on demand," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 5(4), pages 373-392.
    13. Di Zio, Simone & Bolzan, Mario & Marozzi, Marco, 2021. "Classification of Delphi outputs through robust ranking and fuzzy clustering for Delphi-based scenarios," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    14. Spickermann, Alexander & Zimmermann, Martin & von der Gracht, Heiko A., 2014. "Surface- and deep-level diversity in panel selection — Exploring diversity effects on response behaviour in foresight," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 105-120.
    15. Çipi, Amali & Fernandes, Ana Cláudia R.D. & Ferreira, Fernando A.F. & Ferreira, Neuza C.M.Q.F. & Meidutė-Kavaliauskienė, Ieva, 2023. "Detecting and developing new business opportunities in society 5.0 contexts: A sociotechnical approach," Technology in Society, Elsevier, vol. 73(C).
    16. Fritschy, Carolin & Spinler, Stefan, 2019. "The impact of autonomous trucks on business models in the automotive and logistics industry–a Delphi-based scenario study," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    17. Charrad, Malika & Ghazzali, Nadia & Boiteau, Véronique & Niknafs, Azam, 2014. "NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 61(i06).
    Full references (including those not matched with items on IDEAS)

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