Multi-objective model for talent recruiting and its theoretical analysis from knowledge perspective

作者：Sun Wei; Ma Qin Hai; Yu Yang^*

来源：Journal of Northeastern University, 2012, 33(8): 1202-1205.

• Computation complexity
• Knowledge perspective
• Knowledge similarity
• Multi objective optimizations (MOO)
• Multiobjective models
• Quantitative description
• Quantitative investigation
• Super-network
• Talent recruiting

Being considered the shortage of quantitative investigation on talent recruiting, a multi-objective model with quantitative description of knowledge was proposed. First, a knowledge supernetwork was set up, based on which the knowledge needed by an organization was determined and the knowledge held by persons was described in terms of knowledge elements. The similarities between the knowledge needed by the organization and that held by the persons were calculated. A multi-objective model for one-step selection of talents was developed using the similarities as the inputs, being taken into account both the organization';s requirement for knowledge and knowledge exchanging among the staff. Also, a multi-objective model for step-by-step selection of talents was given in order to rank the talents. The computation complexity of the two models was analyzed theoretically. An application case was carried out, and the results indicated the effectiveness of the models.

• 出版日期2012
• 单位东北大学