Optimising Human Resources Management Process on Organizational Success: Integrating Markov Chain and Fuzzy TOPSIS

Abstract

This study established that the optimisation of the Human Resources Management Process (HRMP) can be achieved through the use of the Markov chain (MC) and fuzzy multi-criteria decision-making (MCDM) methods. Therefore, an empirical evaluation was conducted on some companies and universities in Saudi Arabia HRMP to identify their HRMP. This is motivated by the fact that when it comes to conducting a quantitative evaluation, the majority of human resource evaluations focus on the utilisation of statistics as the primary analytical tool. The impact of HRMP on organisational success in this current study was evaluated with four adapted criteria (“hiring,” “turnover,” “promotion,” and “demotion”), which are conceptualised in order to have the ranking and relationships among them. The findings reveal that the criteria “promotion” has the highest rank in influencing HRMP and thus impacting organisational success. The findings of this study have a number of implications, one of which is that it points to the necessity of conducting a clear and open-based promotion process in order to identify areas of the promotion process that require improvement, learning, and competency. The results suggest that this would make it possible to adopt direct or clear techniques for promoting employees, which would be a significant benefit.