Selection of the organizational structure of an agro-food company using an intuitionistic approach

Authors

  • Miroslav Nedeljković Institute of Agricultural Economics, Belgrade, Serbia
  • Adis Puška Department of Public Safety, Government of Brčko District of Bosnia and Herzegovina Brčko, Bosnia and Herzegovina
  • Anđelka Štilić The College of Tourism, Academy of Applied Studies Belgrade, Belgrade, Serbia
  • Jurica Bosna Department of Economics, University of Zadar, Zadar, Croatia

DOI:

https://doi.org/10.31181/100jdaic29122025n

Keywords:

organizational structure, agro-food company, intuitionistic approach, Simple Weight Calculation (SiWeC), Ranking of Alternatives with Weights of Criterion (RAWEC)

Abstract

This research examines which organizational structure would yield the best results for the operations of a selected agro-food company. To do this, a decision-making model was developed, including six organizational structures and 19 criteria. The model was evaluated by experts using linguistic assessments. In addition, uncertainty was incorporated into this decision-making process through an intuitionistic approach. The results were obtained using the SiWeC (Simple Weight Calculation) and RAWEC (Ranking of Alternatives with Weights of Criterion) methods. The SiWeC method identified employee satisfaction and decision-making speed as the most important criteria, while the RAWEC method found that a digital organizational structure provides the best results. However, to achieve even better results in this company, it is necessary to upgrade the digital organizational structure to a network structure, leveraging the strengths of both. In this way, by forming a hybrid organizational structure, better effects would be obtained than using a single organizational structure.

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Published

29.12.2025

How to Cite

Nedeljković, M., Puška, A., Štilić, A., & Bosna, J. (2025). Selection of the organizational structure of an agro-food company using an intuitionistic approach. Journal of Decision Analytics and Intelligent Computing, 5(1), 275–288. https://doi.org/10.31181/100jdaic29122025n