STOCHASTIC MODELING OF TEAM COHESIVENESS AND ITS RISK MANAGEMENT


Marcel ILIE1, Augustin SEMENESCU2

Abstract. Human resources management and team cohesiveness are important elements of successful working organizations. The prediction and assessment of team cohesiveness play a key role in the team and wok environment efficiency and thus, predictive tools of team cohesiveness and efficiency would enhance the efficiency of the team and workforce organization as well it would mitigate any interruptions within the organization. It is well recognized that there various uncertainties that can contribute and affect the team dynamics and cohesiveness such as different career goals, cultural aspects, team member integration and retention, number of team members, etc. Therefore, one way to quantify these uncertainties are the stochastic modeling approaches of human resources. The stochastic modeling is a powerful tool that can predict with certain probability the events that may occur within the human resources. In the present research a stochastic model, based on probability theory, is developed and proposed for the analysis of team dynamics, cohesiveness and efficiency. The study shows that the team cohesiveness and thus, its efficiency decreases with the increase of the team members. This may a result of cultural differences, career goals and team integration. The research shows that the stochastic modeling approach is a promising approach in the prediction of the dynamics, cohesiveness and efficiency of the team.

Keywords: team cohesiveness, risk management, stochastic modeling, numerical modeling, dynamical systems

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DOI 10.56082/annalsarscieng.2025.1.39

Associate. Prof. Ph.D. Georgia Southern University, 1332 Southern Dr. Statesboro GA 30458, USA, *Corresponding author:, milie@georgiasouthern.edu

Prof. National Science and Technology University Politehnica  Bucharest, Spl.Independentei 313, Bucharest, Romania, Member of Academy of Romanian Scientists; augustin.semenescu@upb.ro


PUBLISHED in Annals of the Academy of Romanian Scientists Series on EngineeringVolume 17, No1