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Understanding the Drivers of Industry 4.0 technologies to enhance supply chain sustainability: insights from the agri-food industry

Understanding the Drivers of Industry 4.0 technologies to enhance supply chain sustainability: insights from the agri-food industry
Understanding the Drivers of Industry 4.0 technologies to enhance supply chain sustainability: insights from the agri-food industry
The sustainability of agri-food supply chains (AFSC) has been under significant threat from regional and global events (e.g., conflict, natural and human-made disasters, climate crises). In response to these sustained threats, the AFSC industry is seeking digital solutions using Industry 4.0 (I4.0) technologies to enhance the resilience and efficiency of supply chains. Despite the transformational potential of I4.0, there is limited understanding to why its adoption remains stubbornly low in the agri-food industry. To address this gap, this study draws on middle-range theory (MRT) and builds on nine selected case studies located in China, each of whom have invested in I4.0 technologies to improve the sustainability of their AFSC. Data is examined using thematic analysis, the fuzzy analytic hierarchy process, total interpretive structural modelling, and fuzzy cross-impact matrix multiplication applied to classification. This study identifies several new drivers of I4.0 that are unique to the agri-food industry and how I4.0 can contribute to the environmental, economic, and social dimensions of AFSC sustainability. The results have implications for AFSC researchers and practitioners with an interest in supply chain sustainability.
1572-9419
Zhao, Guoqing
8cf2b595-ae8e-4663-95f5-4497f939716a
Chen, Xiaoning
7f126932-10d0-4f50-bedf-2a23bd6b1df9
Jones, Paul
e7698382-34a1-401b-8a0a-1f98d05305dd
Liu, Shaofeng
d3e8c444-6abd-4b48-adf0-28cbff97381e
Lopez, Carmen
f11f88d5-36c4-4beb-a4c5-ceb16a6df19c
Leoni, Leonardo
9902ea97-512c-4260-9c54-0908ef2babff
Dennehy, Denis
4e3fc426-0c54-40db-815d-237a3c038331
Zhao, Guoqing
8cf2b595-ae8e-4663-95f5-4497f939716a
Chen, Xiaoning
7f126932-10d0-4f50-bedf-2a23bd6b1df9
Jones, Paul
e7698382-34a1-401b-8a0a-1f98d05305dd
Liu, Shaofeng
d3e8c444-6abd-4b48-adf0-28cbff97381e
Lopez, Carmen
f11f88d5-36c4-4beb-a4c5-ceb16a6df19c
Leoni, Leonardo
9902ea97-512c-4260-9c54-0908ef2babff
Dennehy, Denis
4e3fc426-0c54-40db-815d-237a3c038331

Zhao, Guoqing, Chen, Xiaoning, Jones, Paul, Liu, Shaofeng, Lopez, Carmen, Leoni, Leonardo and Dennehy, Denis (2024) Understanding the Drivers of Industry 4.0 technologies to enhance supply chain sustainability: insights from the agri-food industry. Information Systems Frontiers. (doi:10.1007/s10796-024-10539-1).

Record type: Article

Abstract

The sustainability of agri-food supply chains (AFSC) has been under significant threat from regional and global events (e.g., conflict, natural and human-made disasters, climate crises). In response to these sustained threats, the AFSC industry is seeking digital solutions using Industry 4.0 (I4.0) technologies to enhance the resilience and efficiency of supply chains. Despite the transformational potential of I4.0, there is limited understanding to why its adoption remains stubbornly low in the agri-food industry. To address this gap, this study draws on middle-range theory (MRT) and builds on nine selected case studies located in China, each of whom have invested in I4.0 technologies to improve the sustainability of their AFSC. Data is examined using thematic analysis, the fuzzy analytic hierarchy process, total interpretive structural modelling, and fuzzy cross-impact matrix multiplication applied to classification. This study identifies several new drivers of I4.0 that are unique to the agri-food industry and how I4.0 can contribute to the environmental, economic, and social dimensions of AFSC sustainability. The results have implications for AFSC researchers and practitioners with an interest in supply chain sustainability.

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More information

Accepted/In Press date: 30 August 2024
e-pub ahead of print date: 26 September 2024

Identifiers

Local EPrints ID: 494787
URI: http://eprints.soton.ac.uk/id/eprint/494787
ISSN: 1572-9419
PURE UUID: 0b9385f9-40e8-4cea-8e44-ae4e6224b728
ORCID for Carmen Lopez: ORCID iD orcid.org/0000-0002-5510-1920

Catalogue record

Date deposited: 15 Oct 2024 16:47
Last modified: 16 Oct 2024 02:03

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Contributors

Author: Guoqing Zhao
Author: Xiaoning Chen
Author: Paul Jones
Author: Shaofeng Liu
Author: Carmen Lopez ORCID iD
Author: Leonardo Leoni
Author: Denis Dennehy

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