A Bibliometric Analysis of Applications of Multi-Criteria Decision Making in Agricultural Supply Chains: Trends and Insights

Authors

DOI:

https://doi.org/10.24925/turjaf.v14i4.1023-1037.8461

Keywords:

Multi-Criteria Decision Making , Agricultural Supply Chain , Decision , Trends and Insights , Models into agricultural policy

Abstract

The efficiency of agricultural supply chains is critical not only for the success of individual companies but also for the overall economic development of nations. This study aims to analyze general trends in publications that apply Multi-Criteria Decision Making (MCDM) methods within the context of agricultural supply chains. The bibliometric analysis reveals a noticeable increase in academic publications on this topic over the past five years. India, China, and the United Kingdom stand out as the leading countries in terms of publication volume. Furthermore, frequently used keywords such as “sustainability” and “technology” highlight the growing importance of environmental and technological considerations in this field. The identified trends provide valuable insights for policymakers and stakeholders involved in future-oriented decision-making processes. This research is significant as it introduces a systematic approach to decision-making in agricultural supply chains, which are vital for global food security and economic stability. By mapping the current state of academic interest and highlighting key focus areas, the study contributes to the growing body of literature on the application of MCDM methods in agriculture. It also serves as a foundation for future studies aiming to integrate complex decision-making models into agricultural policy and practice.

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Published

25.03.2026

How to Cite

Avşar, İlker İbrahim, & Özekenci, E. K. (2026). A Bibliometric Analysis of Applications of Multi-Criteria Decision Making in Agricultural Supply Chains: Trends and Insights. Turkish Journal of Agriculture - Food Science and Technology, 14(4), 1023–1037. https://doi.org/10.24925/turjaf.v14i4.1023-1037.8461

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Research Paper