Identifying the Factors Influencing Human Resource Decision-Making under Uncertainty Using the Fuzzy Analytic Hierarchy Process (FAHP)
Keywords:
fuzzy analytical hierarchy process, analytical hierarchy process,, human resource management, Decision making, human resourcesAbstract
Decision-making is one of the most fundamental activities within various organizations, and human resources are consistently involved in it, either individually or collectively. Decisions are always made in alignment with achieving organizational objectives; therefore, their quality directly or indirectly affects the entire organization and its human capital. Consequently, identifying and ranking the factors influencing decision-making plays a crucial role in enhancing organizational performance. In this regard, the present study aims to identify and rank the sub-criteria affecting the decision-making process using the Fuzzy Analytic Hierarchy Process (FAHP) technique. The findings indicate that the individual criterion exerts the highest influence, while the external organizational criterion is the least influential in the decision-making process. Among the sub-criteria, emotions and the alignment between competencies and job content rank the highest. This underscores their significance in performance evaluations and competency assessments during recruitment, selection, appointment, or strategic decision-making processes within organizations. Therefore, it is imperative for organizations to invest in these criteria to strengthen their decision-making processes.
Downloads
References
Babaei, I., Abbas Pour, A., Asadzadeh, H., Delavar, A., & Abdollahi, H. (2018). Determining the share of organizational factors in increasing employee competence in Karaj Municipality. Public Management Research, 11(40), 163-186. https://jmr.usb.ac.ir/article_4298.html?lang=en
Bakır, M., & Atalık, Ö. (2021). Application of fuzzy AHP and fuzzy MARCOS approach for the evaluation of e-service quality in the airline industry. Decision Making: Applications in Management and Engineering, 4(1), 127-152. https://doi.org/10.31181/dmame2104127b
Cai, F., Zhang, J., & Zhang, L. (2024). The Impact of Artificial Intelligence Replacing Humans in Making Human Resource Management Decisions on Fairness: A Case of Resume Screening. Sustainability, 16, 3840. https://doi.org/10.3390/su16093840
Calabrese, A., Costa, R., Levialdi, N., & Menichini, T. (2019). Integrating sustainability into strategic decision-making: A fuzzy AHP method for the selection of relevant sustainability issues. Technological Forecasting and Social Change, 139, 155-168. https://doi.org/10.1016/j.techfore.2018.11.005
Dadbakhsh, S., Rangriz, S., Shahriari, S., & Musazadeh Orange, S. (2020). Identifying and prioritizing factors affecting organizational entrepreneurship using fuzzy AHP (Case study: Pars Automotive Company). https://civilica.com/doc/1272709
Dehruyeh, E., Ashrafi, M., Gorganli Doji, J., & Hozin, A. (2021). The role of psychosocial characteristics in financial managers' decision-making: Considering the mediating role of professional ethics. https://civilica.com/doc/1240440
Gholizadeh, M., Zolfaghari Zafarani, R., & Mohammadian Saravi, M. (2022). Presenting a human resource development model focusing on productivity in the country's tax administration using the structural equation approach. Journal of Innovation and Value Creation, 19(10), 185-204. http://rimag.ricest.ac.ir/fa/Article/33264
Islam Panah, M., Shahbazi, S., & Baghli, J. (2020). The relationship between organizational ethical climate and managers' decision-making: Testing the mediating role of personal knowledge management. https://civilica.com/doc/1144234
Jahani, H., Yazdani, H., Tahmasebi, R., Khanifar, H., & Abooyee Ardakan, M. (2022). Understanding Decision Biases Based on Cognitive Science Approach (Case Study: Management Consulting Industry). Sociology of Education, 8(1), 57-71. https://doi.org/10.22034/ijes.2021.529218.1047
Kessi, A. M. P., Pananrang, A. D., Muchsidin, F. F., Rizal, M., & Ramlah, R. (2025). The Role of Leadership in Effective and Efficient Human Resource Management Decision Making. Paradoks Jurnal Ilmu Ekonomi, 8(2), 509-524. https://doi.org/10.57178/paradoks.v8i2.1153
Khalili, K., Valizadeh, T., & Shahvali, S. (2021). Factors influencing managers' ethical decision-making. Tehran. https://civilica.com/doc/1257771
Mehri, M. (2019). Evaluation and ranking of procurement processes using fuzzy AHP in Golban Regional Water Company Hakim Jorjani Educational Institute, Gorgan.
Mohammadi, Z., & Akbarian, M. (2021). Investigating the relationship between managers' awareness of managerial duties and their decision-making style from employees' perspective in Mazandaran Water and Wastewater Company. Tehran. https://civilica.com/doc/1316896
Murugesan, U., Subramanian, P., Srivastava, S., & Dwivedi, A. (2023). A study of artificial intelligence impacts on human resource digitalization in Industry 4.0. Decision Analytics Journal, 7, 100249. https://doi.org/10.1016/j.dajour.2023.100249
Nikokho, B., Jafari Nia, S., Hassanpour, A., & Abbasiyan, H. (2018). Developing a model of factors affecting organizational silence using combined Fuzzy AHP and ARAS approach. Strategic Studies in Sports and Youth, 17(41), 0-0. https://www.sid.ir/fa/journal/ViewPaper.aspx?id=525633
Priyanka, R., Ravindran, K., Sankaranarayanan, B., & Ali, S. M. (2023). A fuzzy DEMATEL decision modeling framework for identifying key human resources challenges in start-up companies: Implications for sustainable development. Decision Analytics Journal, 6, 100192. https://doi.org/10.1016/j.dajour.2023.100192
Putra, R., & Ali, H. (2022). Organizational behavior determination and decision making: analysis of skills, motivation and communication (literature review of human resource management). Dinasti International Journal of Digital Business Management, 3(3), 420-431. https://dinastipub.org/DIJDBM/article/view/1168
Rose, J. M., Brink, A. G., & Norman, C. S. (2018). The effects of compensation structures and monetary rewards on managers' decisions to blow the whistle. Journal of Business Ethics, 150(3), 853-862. https://doi.org/10.1007/s10551-016-3222-7
Safaei, N., & Zakeri, A. (2018). Human resource management in startups using fuzzy AHP balanced scorecard approach. Yazd. https://civilica.com/doc/839580
Sirisawat, P., & Kiatcharoenpol, T. (2018). Fuzzy AHP-TOPSIS approaches to prioritizing solutions for reverse logistics barriers. Computers & Industrial Engineering, 117, 303-318. https://doi.org/10.1016/j.cie.2018.01.015
Tajik, A., Didehkhani, H., & Eslami Mofidabadi, H. (2021). Identifying and ranking cognitive factors affecting strategic financial decision-making by managers of the National Iranian Gas Company. Semnan. https://civilica.com/doc/1380588
Torabi Kanjin, F., & Minaei Bidgoli, B. (2019). Identifying and prioritizing evaluation indicators for e-learning management systems based on fuzzy AHP. Tehran. https://civilica.com/doc/999762
Downloads
Published
Submitted
Revised
Accepted
Issue
Section
License
Copyright (c) 2025 عباس طاهری
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
