Unlocking AI's Potential in the Food Supply Chain: A Novel Approach to Overcoming Barriers
Ghag, Nikhil ; Sonar, Harshad ; Jagtap, Sandeep LU
and Trollman, Hana
(2024)
In Journal of Agriculture and Food Research
18.
- Abstract
- This paper delves into the challenges impeding the seamless integration of artificial intelligence (AI) within the food supply chain (FSC) and introduces a novel methodological framework that combines the NK Model with the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique. Through an exhaustive literature analysis and expert discussions, the research identifies and categorizes significant obstacles to AI deployment in the FSC. These hurdles include the imperative for a skilled labor force, financial limits, regulatory complexity and technological limitations. The unique DEMATEL-NK approach highlights the interconnected nature of these barriers, pinpointing the most critical impediments. The study's implications extend to... (More)
- This paper delves into the challenges impeding the seamless integration of artificial intelligence (AI) within the food supply chain (FSC) and introduces a novel methodological framework that combines the NK Model with the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique. Through an exhaustive literature analysis and expert discussions, the research identifies and categorizes significant obstacles to AI deployment in the FSC. These hurdles include the imperative for a skilled labor force, financial limits, regulatory complexity and technological limitations. The unique DEMATEL-NK approach highlights the interconnected nature of these barriers, pinpointing the most critical impediments. The study's implications extend to the broader domains of AI adoption in agriculture and the food industry, offering a nuanced perspective for policymakers, industry stakeholders, and researchers. The findings underscore the imperative of overcoming these barriers for the successful implementation of AI technologies in the FSC, promising advancements in efficiency, quality, and sustainability. The innovative methodology not only sheds light on the interconnectedness of these barriers but also provides a systematic approach for prioritizing and implementing solutions. This research offers a fresh viewpoint on barrier relationships, guiding decision-makers in crafting effective strategies and interventions to propel AI integration in the FSC forward. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/dcb65873-0f4c-472f-b3d9-e5aa4a38265f
- author
- Ghag, Nikhil
; Sonar, Harshad
; Jagtap, Sandeep
LU
and Trollman, Hana
- organization
- publishing date
- 2024-08-09
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Journal of Agriculture and Food Research
- volume
- 18
- article number
- 101349
- publisher
- Elsevier
- external identifiers
-
- scopus:85200991767
- ISSN
- 2666-1543
- DOI
- 10.1016/j.jafr.2024.101349
- language
- English
- LU publication?
- yes
- id
- dcb65873-0f4c-472f-b3d9-e5aa4a38265f
- date added to LUP
- 2024-08-09 10:54:02
- date last changed
- 2024-08-26 13:43:43
@article{dcb65873-0f4c-472f-b3d9-e5aa4a38265f,
abstract = {{This paper delves into the challenges impeding the seamless integration of artificial intelligence (AI) within the food supply chain (FSC) and introduces a novel methodological framework that combines the NK Model with the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique. Through an exhaustive literature analysis and expert discussions, the research identifies and categorizes significant obstacles to AI deployment in the FSC. These hurdles include the imperative for a skilled labor force, financial limits, regulatory complexity and technological limitations. The unique DEMATEL-NK approach highlights the interconnected nature of these barriers, pinpointing the most critical impediments. The study's implications extend to the broader domains of AI adoption in agriculture and the food industry, offering a nuanced perspective for policymakers, industry stakeholders, and researchers. The findings underscore the imperative of overcoming these barriers for the successful implementation of AI technologies in the FSC, promising advancements in efficiency, quality, and sustainability. The innovative methodology not only sheds light on the interconnectedness of these barriers but also provides a systematic approach for prioritizing and implementing solutions. This research offers a fresh viewpoint on barrier relationships, guiding decision-makers in crafting effective strategies and interventions to propel AI integration in the FSC forward.}},
author = {{Ghag, Nikhil and Sonar, Harshad and Jagtap, Sandeep and Trollman, Hana}},
issn = {{2666-1543}},
language = {{eng}},
month = {{08}},
publisher = {{Elsevier}},
series = {{Journal of Agriculture and Food Research}},
title = {{Unlocking AI's Potential in the Food Supply Chain: A Novel Approach to Overcoming Barriers}},
url = {{http://dx.doi.org/10.1016/j.jafr.2024.101349}},
doi = {{10.1016/j.jafr.2024.101349}},
volume = {{18}},
year = {{2024}},
}