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Analysis of barriers to adopting Industry 4.0 to achieve agri‐food supply chain sustainability: A group‐based fuzzy analytic hierarchy process
Guoqing Zhao,
Chenhui Ye,
Denis Dennehy 
,
Shaofeng Liu,
Antoine Harfouche,
Femi Olan
,
Shaofeng Liu,
Antoine Harfouche,
Femi Olan
Business Strategy and the Environment
Swansea University Authors:
Guoqing Zhao, Denis Dennehy
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© 2024 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License.
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DOI (Published version): 10.1002/bse.3928
Abstract
Agri-food supply chains (AFSCs) need to become more sustainable, and Industry 4.0 (I4.0) is a crucial enabler. However, various barriers make adopting I4.0 technologies to achieve AFSC sustainability challenging. Few previous studies have examined China's agri-food industry. Through a literatur...
| Published in: | Business Strategy and the Environment |
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| ISSN: | 0964-4733 1099-0836 |
| Published: |
Wiley
2024
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa67057 |
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| Abstract: |
Agri-food supply chains (AFSCs) need to become more sustainable, and Industry 4.0 (I4.0) is a crucial enabler. However, various barriers make adopting I4.0 technologies to achieve AFSC sustainability challenging. Few previous studies have examined China's agri-food industry. Through a literature review and consultation of Chinese experts, we identify 27 barriers in six categories and prioritize these using a group-based fuzzy analytic hierarchy process to produce novel results. First, we identify six new I4.0 adoption barriers closely linked with China's economic, social and cultural environments, including acquisition of intelligent agricultural equipment subsidies based on guanxi. Second, our prioritization of barriers reveals that the key challenges to applying I4.0 are the increased cost of terminal logistics, acquisition of intelligent agricultural equipment subsidies based on guanxi, low compatibility of I4.0 technologies with existing agricultural equipment, and problems with the government subsidy model. These results have managerial implications for governments and knowledge dissemination organizations. |
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| Keywords: |
agri-food supply chain sustainability, barriers to identification and prioritization, China'seconomic, grand theory, group-based fuzzy analytic hierarchy process, Industry 4.0 adoption,social and cultural environments |
| College: |
Faculty of Humanities and Social Sciences |
| Funders: |
Swansea University |