Article ID: | iaor20135348 |
Volume: | 64 |
Issue: | 11 |
Start Page Number: | 1654 |
End Page Number: | 1663 |
Publication Date: | Nov 2013 |
Journal: | Journal of the Operational Research Society |
Authors: | Kim Tae-Sung, Kim Kilhwan, Lim Dae-Eun, Park Hyun Min |
Keywords: | simulation: applications, programming: probabilistic, knowledge management |
Managing knowledge workers is highly complex because of the need to balance the costs associated with their training and holding costs against the need to meet market demand as quickly as possible. Unlike previous approaches to this problem in the workforce management literature, this paper develops a stochastic optimization model to examine the impact of not only uncertainty of the demand of knowledge services but also that of the supply of knowledge workers on a recruiting strategy. Hypotheses on optimal recruiting decisions that this paper suggests include: (1) high holding and training costs decrease recruitment of apprentices; (2) high mobility of skilled workers decreases recruitment of apprentices; (3) high elasticity of the supply of skilled workers decreases recruitment of apprentices; (4) high volatility of the demand of knowledge services decreases recruitment of apprentices; and (5) in high seasonal effect on the demand, the decision policy based on decision thresholds proportional to seasonal demands outperforms the decision policy based on a constant decision threshold. Suggested hypotheses are supported by a simulation of the model. Model parameters in the simulation are estimated based on the survey of information security consulting service companies in South Korea.