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Lookup NU author(s): Dr Xiaotian XieORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Agri-food supply chains (AFSCs) are facing more pressures in terms of increasing volatility, growing population, and intensifying climate change. It is expected that global agri-food production must be doubled by 2050 in order to tackle the world population explosion crisis. Digital technologies have the capability to produce more food with fewer resources, reduce food waste and loss, and revolutionize the agri-food industry completely, which has been widely recognized by scholars and practitioners as a potential solution. However, it is not clear about enablers to facilitate digital technologies application from a developing country’s perspective. Thus, this study aims to analyze enablers to the application of digital technologies in the AFSC of China. Three research questions were formulated to understand what digital technologies are applied in the China’s agri-food industry, what are the enablers to facilitate AFSC practitioners to use digital technologies, and how the identified enablers are prioritized. To answer these research questions, we employed a mixed-method approach, including semi-structured interviews to collect empirical data from 16 experienced AFSC practitioners, thematic analysis to identify enablers, and fuzzy analytical hierarchy process (AHP) to prioritize the identified enablers. Our study significantly contributes to new knowledge. For example, this study identifies that frequently discussed digital technologies such as blockchain technology, big data analytics, and automatic tractor are seldom used in the agri-food industry of China, other technologies such as water-fertilizer integrated technology, internet of things (IoTs), and smart greenhouses are widely deployed. Ten enablers are identified that may facilitate AFSC practitioners to apply digital technologies, including those merely mentioned by scholars, such as workforce reduction, early detection of plant diseases, accurate determination of the maturity of crops, and improving working conditions. Finally, our prioritization results show that reducing working intensity, reducing water and fertilizer consumption, and improving fertilizer use efficiency are the top three enablers. This study also contributes to managerial practices.
Author(s): Zhao G, Chen X, Liu S, Xie X
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 9th International Conference on Decision Support System Technology
Year of Conference: 2023
Pages: 132-139
Acceptance date: 08/03/2023
Date deposited: 18/10/2024
Publisher: Working Group on Decision Support Systems within EURO: the Association of the European Operational Research Societies
URL: https://icdsst2023.wordpress.com/wp-content/uploads/2023/05/actes_imt_icdsst2023_v3.pdf
ePrints DOI: 10.57711/ntkr-5s25
Notes: https://cronfa.swan.ac.uk/Record/cronfa63528
