Managing Asymmetries for Data Mobilization under Digital Transformation
dc.contributor.author | Kazantsev, N | |
dc.contributor.author | Batolas, D | |
dc.contributor.author | White, L | |
dc.date.accessioned | 2024-02-27T13:47:07Z | |
dc.date.issued | 2024-02-23 | |
dc.date.updated | 2024-02-27T13:13:23Z | |
dc.description.abstract | Resource mobilization is a significant challenge for firms seeking survival and competitive advantage, especially in the context of digital transformation. Data has emerged as a vital resource, but its intangible nature adds complexity to the interactions between resource holders and seekers. This paper aims to address the gaps in understanding data resource mobilization by integrating perspectives on information, dependence, and orientation asymmetry using a social exchange perspective. The study focuses on the regulated animal healthcare industry, where a large established organization acts as the resource holder, universities act as intermediaries, and startups act as resource seekers. Through three years of data collection, the study finds that the context is rich in all three types of asymmetries and characterized by high uncertainty surrounding data as a resource. Actors engage in direct social exchanges to address information asymmetries and in generalized exchanges through intermediaries to deal with dependence and orientation asymmetries. The study contributes to theory by providing insights into the complex dynamics of resource mobilization in the context of digital transformation and proposes practical implications for managing multiple asymmetries and mobilizing data effectively for firm performance in regulated environments. | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.identifier.citation | Published online 23 February 2024 | en_GB |
dc.identifier.doi | https://doi.org/10.1111/1467-8551.12809 | |
dc.identifier.grantnumber | EP/T022566/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/135410 | |
dc.identifier | ORCID: 0000-0002-4011-506X (Batolas, Dimitrios) | |
dc.identifier | ORCID: 0000-0001-6827-1323 (White, Leroy) | |
dc.language.iso | en | en_GB |
dc.publisher | Wiley / British Academy of Management | en_GB |
dc.rights | © 2024 The Authors. British Journal of Management published by John Wiley & Sons Ltd on behalf of British Academy of Management. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited | en_GB |
dc.title | Managing Asymmetries for Data Mobilization under Digital Transformation | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2024-02-27T13:47:07Z | |
dc.identifier.issn | 1045-3172 | |
dc.description | This is the final version. Available on open access from Wiley via the DOI in this record | en_GB |
dc.identifier.eissn | 1467-8551 | |
dc.identifier.journal | British Journal of Management | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2024-02-23 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2024-02-27T13:44:08Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2024-02-27T13:47:19Z | |
refterms.panel | C | en_GB |
refterms.dateFirstOnline | 2024-02-23 |
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Except where otherwise noted, this item's licence is described as © 2024 The Authors. British Journal of Management published by John Wiley & Sons Ltd on behalf of British Academy of Management. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited