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    Leveraging blockchain technology for green innovation in ecosystem-based business models: A dynamic capability of values appropriation


    Chin, Tachia, Shi, Yi, Singh, Sanjay Kumar, Agbanyo, George Kwame and Ferraris, Alberto (2022) Leveraging blockchain technology for green innovation in ecosystem-based business models: A dynamic capability of values appropriation. Technological Forecasting and Social Change, 183. p. 121908. ISSN 00401625

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    Abstract

    Stakeholders' pressure for environmental sustainability asks firms to develop ecosystem-based business models (EBMs) driven by a disruptive technology that strategically prioritizes green innovation. Given the infancy of the relevant issues, there is scarce empirical evidence addressing how blockchain technology (BT) as a typical disruptive technology triggers the formation of EBMs with higher levels of platformisation and stakeholder diversity. To address this need, from the dynamic capability view, we identify value appropriation capability (VAC) as a vital catalyst translating BT into realizing green innovation in EBMs. Our results indicate that BT and VAC positively affect green innovation performance, while VAC also mediates the BT-green innovation relationship in EBMs. The main contribution is to offer new insight into the mechanisms between disruptive technology and the evolution towards EBMs through the lens of a previously under-researched dynamic capability, VAC. We also provide feasible, practical guidance for organizations to inspire green innovation and establish sustainable EBMs.
    Item Type: Article
    Keywords: Disruptive technology; Blockchain technology; Ecosystem; Business model; Dynamic capability; Value appropriation;
    Academic Unit: Faculty of Social Sciences > School of Business
    Item ID: 17786
    Identification Number: 10.1016/j.techfore.2022.121908
    Depositing User: Sanjay Singh
    Date Deposited: 07 Nov 2023 15:02
    Journal or Publication Title: Technological Forecasting and Social Change
    Publisher: Elsevier
    Refereed: Yes
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/17786
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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