Gillani, F ORCID: https://orcid.org/0000-0001-6735-061X, Cao, D ORCID: https://orcid.org/0000-0002-2614-3726 and Ma, X ORCID: https://orcid.org/0000-0003-1318-3590, 2023. Making beef farming supply chains sustainable: unearthing the role of cognitive digital twins. In: Proceedings of BAM2023 Conference. British Academy of Management.
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Abstract
The beef farming supply chain (BFSC) has been critiqued for its detrimental impact on sustainability regarding land usage, food waste before and after production, GHG emissions, carcass and product quality. Also, the stakeholder and resource management in BFSC has not been up to par. Studies have called for the modernization of BFSC through technologies so that inefficiencies are eliminated and BFSC can develop sustainability. This study using a literature review and case study method proposes the use of Cognitive Digital Twin (CDT) in BFSC, to address these concerns and offers a framework that unearths the enabling mechanisms, contingencies and intricacies of the CDT-driven BFSC to create sustainability. Using the Resource Orchestration Theory as an underpinning base the framework shows how the unique fit and bundling of farm and technological resources helps in modifying, extending and creating new capabilities that are then leveraged to develop sustainability and competitiveness in the BFSC. The study contributes to the academic and practitioner community both in (I) addressing the sustainability concerns of BFSC (ii) portraying the actual implementation and utilization of CDT and relevant mediating mechanisms (iii) unearthing the contingencies and interactions of associated factors to create sustainable beef supply chains.
Item Type: | Chapter in book |
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Creators: | Gillani, F., Cao, D. and Ma, X. |
Publisher: | British Academy of Management |
Date: | 1 September 2023 |
Identifiers: | Number Type 1823289 Other |
Divisions: | Schools > Nottingham Business School |
Record created by: | Jonathan Gallacher |
Date Added: | 06 Nov 2023 10:26 |
Last Modified: | 06 Nov 2023 10:26 |
URI: | https://irep.ntu.ac.uk/id/eprint/50265 |
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