Digital transformation and the circular economy: Creating a competitiveadvantage from the transition towards Net Zero Manufacturing
dc.contributor.author | Okorie, O | |
dc.contributor.author | Russell, J | |
dc.contributor.author | Cherrington, R | |
dc.contributor.author | Fisher, O | |
dc.contributor.author | Charnley, F | |
dc.date.accessioned | 2022-11-14T14:43:32Z | |
dc.date.issued | 2022-11-11 | |
dc.date.updated | 2022-11-12T00:10:04Z | |
dc.description.abstract | Manufacturers are exploring the extent to which digital technology applications can support their sustainability efforts by helping to convert abstract sustainability goals, such as those of net-zero emissions and circular economy (CE), into feasible and practical actions, achievements, and ultimately, a sustainable competitive edge. This work adopts a resource-based view (RBV) to explore the potential role that digital technologies play in the cultivation of a manufacturing firm’s competitive advantage, and the deployment of existing internal resources and core competencies to achieve net-zero manufacturing emissions and CE. Two questions are addressed: (1) What competitive advantage(s) may be derived from the integration of digital technologies to achieve net-zero manufacturing emissions, and (2) does adopting an RBV facilitate the development of meaningful (and novel) competitive advantage? Engaged scholarship is used to analyse and apply theory to an empirical, real-world dataset documenting the perspectives and experiences of 13 manufacturing firms. Applying the VRIO frame- work, 21 identified digital technology-based core competencies are categorised as forms of competitive advan- tage that may be possible for manufacturing firms pursuing net-zero emissions. Four scenarios of digital technology adoption pathways are proposed, differentiated by the degree of radical vs. incremental interests and options available to the firm. This study highlights the critical need for firms to incorporate intangible asset management and development, including the labour and supply chain relationships, as part of their digital transformation strategies. Further, we demonstrate the potential of RBV as a lens for evaluating the competitive advantage potential of corporate sustainability initiatives, and facilitating the development of related strategies. | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.identifier.citation | Vol. 189, article 106756 | en_GB |
dc.identifier.doi | https://doi.org/10.1016/j.resconrec.2022.106756 | |
dc.identifier.grantnumber | EP/R032041/1 | en_GB |
dc.identifier.grantnumber | EP/S036113/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/131775 | |
dc.identifier | ORCID: 0000-0002-5210-9951 (Okorie, Okechukwu) | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights.embargoreason | Under embargo until 11 November 2023 in compliance with publisher policy | en_GB |
dc.rights | © 2022 Elsevier B.V. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
dc.subject | Digital transformation | en_GB |
dc.subject | Resource-based view | en_GB |
dc.subject | Net-zero manufacturing | en_GB |
dc.subject | Circular economy | en_GB |
dc.subject | Sustainable competitive advantage | en_GB |
dc.subject | Engaged Scholarship | en_GB |
dc.title | Digital transformation and the circular economy: Creating a competitiveadvantage from the transition towards Net Zero Manufacturing | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-11-14T14:43:32Z | |
dc.identifier.issn | 1879-0658 | |
dc.description | This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record | en_GB |
dc.description | Data availability: Data will be made available on request. | en_GB |
dc.identifier.journal | Resources, Conservation and Recycling | en_GB |
dc.relation.ispartof | Resources, Conservation and Recycling, 189 | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
dcterms.dateAccepted | 2022-11-02 | |
dcterms.dateSubmitted | 2021-11-30 | |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2022-11-11 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-11-12T00:10:06Z | |
refterms.versionFCD | CVoR | |
refterms.dateFOA | 2023-11-11T00:00:00Z | |
refterms.panel | B | en_GB |
refterms.dateFirstOnline | 2022-11-11 |
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Except where otherwise noted, this item's licence is described as © 2022 Elsevier B.V. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/