• ISSN: 2010-0248 (Print)
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIMT
    • Editor-in-Chief: Prof. Jin Wang
    • Managing Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, CNKI, Ulrich's Periodicals Directory,  Crossref, Electronic Journals Library.
    • E-mail: ijimt@ejournal.net
IJIMT 2023 Vol.14(2): 29-46
doi: 10.18178/ijimt.2023.14.2.935

An Overview of AI Development and Its Location Relationship in Agricultural Supply Chains

Monika Ciesielkiewicz1,*, Claire F. Bonilla2, and Carlos Olave-Lopez-de-Ayala3
1. School of Education, Computense Unversity of Madrid, Spain
2. Department of Computer Science, UDIMA—Universidad a Distancia de Madrid, Spain
3. School of Ecomomics, University of Valencia, Spain
Email: monikacies@gmail.com(M.C.); clairefbonilla@gmail.com(C.F.B.); carolode@alumni.uv.es(C.O.-L.A.)
*Corresponding author

Abstract—The paper explores artificial intelligence (AI) in agricultural (Ag) supply chains (SCs) and presents a new typology to understand AI-based solutions in Ag SCs. Previous research has not focused on examining the connection between the drive to integrate AI technology and where the SC’s AI is being integrated. A literature review approach was adopted and follows a series of different analyses. Using the findings from the analyses, the authors propose a typology created on the foundation of two dynamics, the location of AI applications in Ag SCs and the driving values to integrate the AI applications. The typology is presented in the form of a granular numeric scale; the typology aims to create a tool of measurement to infer AI technology’s relation in the Ag SC and create a new viewpoint to investigate and provide insights for predictions of AI’s future in Ag SCs. In addition, the new typology should aid Ag firms in understanding and capturing potential synergies stemming from the driving values of innovation. The authors found that AI applications with a strong relationship in SC provide the greatest beneficiary relationship between technology value creation and SC logistics. Furthermore, AI applications will have the strongest relationship and implementation when operating in collaboration with other SC locations and AI integrated firms.

Index Terms—Artificial intelligence, agricultural supply chains, innovation creation

The authors are with California Polytechnic State University, USA.
*Correspondence: adeif@calpoly.edu (A.D.)


Cite: Samantha Ault and Ahmed Dief*, "An Overview of AI Development and Its Location Relationship in Agricultural Supply Chains," International Journal of Innovation, Management and Technology vol. 14, no. 2, pp. 29-46, 2023.

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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