Editorial: Mapping and structuring MCDM methods supporting research and practice in business and management

Almeida, V. V. A., Gomes, C. F. S., Pinochet, L. H. C., & dos Santos, M. (2025). Prioritization of investment order in Brazil among renewable energy sources: an analysis using the SWARA-MOORA-3NAG method. Journal of Modelling in Management, 20(2), 620-647. https://doi.org/10.1108/JM2-09-2023-0208

Jain, V., Sahay, R. R., & Nupur. (2025). TODIM with XGBOOST and MVO metaheuristic approach for portfolio optimization. International Journal of System Assurance Engineering and Management, 16(2), 595–612. https://doi.org/10.1007/s13198-024-02610-6

Keenan, P. (2024). A scientometric analysis of multicriteria decision-making research. Journal of Decision Systems, 33(1), 78-88. https://doi.org/10.1080/12460125.2024.2354642

Kozłowska, J. (2022). Methods of multi-criteria analysis in technology selection and technology assessment: A systematic literature review. Engineering Management in Production and Services, 14(2), 116–137. https://doi.org/10.2478/emj-2022-0021

Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445–455.

Pant, S., Garg, P., Kumar, A., Ram, M., Kumar, A., Sharma, H. K., & Klochkov, Y. (2024). AHP-based multi-criteria decision-making approach for monitoring health management practices in smart healthcare system. International Journal of System Assurance Engineering and Management, 15(4), 1444–1455. https://doi.org/10.1007/s13198-023-01904-5

Pinochet, L. H. C., Moreira, M. Â. L., Fávero, L. P., dos Santos, M., & Pardim, V. I. (2023). Collaborative work alternatives with ChatGPT based on evaluation criteria for its use in higher education: Application of the PROMETHEE-SAPEVO-M1 method. Procedia Computer Science, 221, 177-184. https://doi.org/10.1016/j.procs.2023.07.025

Pinochet, L. H. C., Lopes, N. S., Onusic, L. M., dos Santos, M., Pardim, V. I., & Francischini, A. S. N. (2024). Exploring the impact of AI on candidate selection: A two-phase methodological approach with CRITIC-WASPAS. Procedia Computer Science, 242, 920-927. https://doi.org/10.1016/j.procs.2024.08.274

Saaty, T. L. (2005). Theory and applications of the Analytic Network Process: Decision making with benefits, opportunities, costs, and risks. RWS Publications.

Santos, M., Costa, I. P. de A., & Gomes, C. F. S. (2021). Multicriteria decision-making in the selection of warships: A new approach to the AHP method. International Journal of the Analytic Hierarchy Process, 13(1), 147–169. https://doi.org/10.13033/ijahp.v13i1.833

Stanujkic, D., Popovic, G., Karabasevic, D., Meidute-Kavaliauskiene, I., & Ulutaş, A. (2023). An integrated simple weighted sum product method—WISP. IEEE Transactions on Engineering Management, 70(5), 1933–1944. https://doi.org/10.1109/TEM.2021.3075783

Tzeng, G. H., & Huang, J. J. (2011). Multiple attribute decision making: Methods and applications. 1st Edition, New York. CRC Press. https://doi.org/10.1201/b11032

Wątróbski, J., Ziemba, P., Jankowski, J., & Karczmarczyk, A. (2022). Sustainable cities and communities assessment using the DARIA-TOPSIS method. Sustainable Cities and Society, 76, 103456. https://doi.org/10.1016/j.scs.2021.103456

Yalcin, A. S., Kilic, H. S., & Delen, D. (2022). The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review. Technological Forecasting and Social Change, 174, 121193. https://doi.org/10.1016/j.techfore.2021.121193

Zavadskas, E. K., Turskis, Z., & Kildienė, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Technological and Economic Development of Economy, 20(1), 165–179.