How Is Research Connecting Artificial Intelligence, Sustainability Governance, and Agri-Food Supply Chains Evolving? A Bibliometric Analysis

Authors

  • Qalbin Salim Fazli Department of Plant Protection, Faculty of Agriculture, IPB University, Bogor, 16680, Indonesia
  • Mussa Isaack Delya Tanzania Agricultural Research Institute (TARI) - Kihinga Centre, Kigoma P.O. Box 132, Tanzania
  • Erick Hironimus Kihwili Tanzania Agricultural Research Institute (TARI) - Tumbi, Tabora P.O. Box 306, Tanzania
  • Muhammad Qashmal Bank Aceh Syariah, Banda Aceh 23245, Indonesia
  • Iin Shabrina Hilal Department of Civil Engineering, Faculty of Engineering, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia
  • Ghalieb Mutig Idroes Energy and Green Economics Unit, Graha Primera Saintifika, Aceh Besar 23371, Indonesia

DOI:

https://doi.org/10.60084/ijma.v3i2.368

Keywords:

Artificial intelligence, Sustainability governance, Agri-food supply chains, Bibliometric analysis

Abstract

This study examines the development of research situated at the intersection of artificial intelligence, sustainability governance, and agri-food supply chains through a comprehensive bibliometric analysis of 988 Scopus-indexed articles published between 2017 and 2025. This time range was selected because scholarly attention to artificial intelligence in sustainability and agri-food systems began to intensify after 2017, alongside the emergence of Industry 4.0, data-driven governance frameworks, and circular economy agendas, allowing the analysis to capture both the formative and consolidation phases of this research domain. A structured search, screening, and eligibility process was applied to ensure thematic relevance and methodological rigor, followed by performance analysis and science-mapping techniques using VOSviewer, CiteSpace, and complementary normalization procedures. The findings reveal accelerating publication growth, concentrated collaboration networks, and thematic convergence around digital sustainability, circularity, and data-driven supply-chain optimization. Keyword and citation structures indicate that the field increasingly integrates technological and environmental perspectives, although research contributions remain unevenly distributed across authors, institutions, and countries. The study highlights the emergence of a more coherent knowledge base while underscoring the need for broader participation and deeper conceptual synthesis. These insights provide a consolidated foundation for guiding future work toward stronger theoretical development and more impactful applications in sustainable agri-food systems.

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Published

2025-12-25

How to Cite

Salim Fazli, Q., Isaack Delya, M., Hironimus Kihwili, E., Qashmal, M., Shabrina Hilal, I., & Idroes, G. M. (2025). How Is Research Connecting Artificial Intelligence, Sustainability Governance, and Agri-Food Supply Chains Evolving? A Bibliometric Analysis. Indatu Journal of Management and Accounting, 3(2), 88–100. https://doi.org/10.60084/ijma.v3i2.368

Issue

Vol. 3 No. 2 (2025): December 2025

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Articles

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Copyright (c) 2025 Qalbin Salim Fazli, Mussa Isaack Delya, Erick Hironimus Kihwili, Muhammad Qashmal, Iin Shabrina Hilal, Ghalieb Mutig Idroes

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.