The metaverse: a product-service innovation canvas for co-creating and capturing value

Derrick Boakye & David Sarpong

Journal of Business Strategy2025https://doi.org/10.1108/jbs-08-2025-0194article
AJG 1ABDC B
Weight
0.37

Abstract

Purpose Recent years has seen rising interest in the metaverse as a technological domain that has potential for value co-creation and capture in contemporary marketplaces. This paper aims to provide insights into how firms can conceive the value creation potentialities and navigate challenges presented by the metaverse. Design/methodology/approach This paper draws on extant research on the metaverse to explicate strategic potentialities and cautionary landmines of the metaverse. It goes on to conceptualise the metaverse product-service innovation canvas on which value could be created, captured or dissipated for contemporary organizations. Findings This paper presents a conceptual characterisation of the metaverse that explicates how organizing expedience, timing and approaches to meaning-making and sensing of this novel technological form may serially combine to determine patterns of (dis)advantage for firms operating in hyper-competitive business landscape. Originality/value Positioning the metaverse as a technological platform on which value creation modes are positioned, this paper presents a conceptual model that offers practical insights into transitional pathway through which value could be captured in the metaverse.

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https://doi.org/https://doi.org/10.1108/jbs-08-2025-0194

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@article{derrick2025,
  title        = {{The metaverse: a product-service innovation canvas for co-creating and capturing value}},
  author       = {Derrick Boakye & David Sarpong},
  journal      = {Journal of Business Strategy},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1108/jbs-08-2025-0194},
}

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.