A method for member selection of cross-functional teams using the individual and collaborative performances

Bo Feng, Zhong-Zhong Jiang, Zhi-Ping Fan and Na Fu

European Journal of Operational Research, 2010, vol. 203, issue 3, 652-661

Abstract: The member selection problem is an important aspect of the formation of cross-functional teams (CFTs). Selecting suitable members from a set of candidates will facilitate the successful task accomplishment. In the existing studies of member selection, the individual performance concerning a single candidate is mostly used, whereas the collaborative performance associating with a pair of candidates is overlooked. In this paper, as a solution to this problem, we propose a method for member selection of CFTs, where both the individual performance of candidates and the collaborative performance between candidates are considered. In order to select the desired members, firstly, a multi-objective 0-1 programming model is built using the individual and collaborative performances, which is an NP-hard problem. To solve the model, we develop an improved nondominated sorting genetic algorithm II (INSGA-II). Furthermore, a real example is employed to illustrate the suitability of the proposed method. Additionally, extensive computational experiments to compare INSGA-II with the nondominated sorting genetic algorithm II (NSGA-II) are conducted and much better performance of INSGA-II is observed.

Keywords: Cross-functional; team; (CFT); Member; selection; Individual; and; collaborative; performances; Multi-objective; 0-1; programming; Nondominated; sorting; genetic; algorithm; II; (NSGA-II) (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:203:y:2010:i:3:p:652-661

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