Abstract
Configuration of top management team (TMT) has very important impact on its efficiency. Extant literature in the research of TMT mainly concentrates on the relationship between TMT characteristics and firm level performances as well as the process mechanism, but rarely on methods for team member selection and TMT configuration. This paper is aimed to address the research gap and design a knowledge-based optimization model for TMT configuration, using multi-objective optimization model. First of all, the relationship between TMT characteristics and its performance is systematically reviewed and a multiple-dimensional evaluation system is proposed to analyze TMT efficiency. Secondly, a multi-objective optimization model of TMT configuration is established by multiple linear regressions. Thirdly, knowledge management techniques are integrated to build the knowledge-based multiple-objective optimization model for TMT configuration. Finally, an experimental system based on our model is applied in a stationery company and achieved great success.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
