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)

Full-Text [PDF 288 kb]   (2675 Downloads)