Developing a Bi-Level Mathematical Model for Talents Substitution in Iranian Organizations: Game Theory Approach

Authors
Mohammad Reza Ghodoosi
Mohammad Mousakhani
Tehran University- Faculty of management
Abstract
This research addresses the issue of balancing time-cost-income of talent management and succession in knowledge-based organizations. There are different approaches for attracting talents from outside of an organization to fill this gap. Although many different researches made clear insights about the importance of successful talent succession, only a few quantitative methods have been developed to deal with such problem. This paper by assuming such realistic assumptions, proposed a bi-level linear mathematical model, based on game theory approach. The performance of developed model has been assessed using PSO algorithm by gathering ten-year realistic data from an Iranian telecom company. The results show acceptable adoption to reality, based on realistic events.
Keywords
game theory
Optimization
Succession planning
Talent Management
Particle Swarm Optimization (PSO)
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Organizational Resources Management Researches
Volume 6, Issue 3
November 2016
Pages 153-170