TY - JOUR
T1 - Optimal selection of expatriates for cross-border assignment to enhance manufacturing efficiency
AU - Zhang, Ying
AU - Zhu, Jing
AU - Xu, Nan
AU - Duan, Sophia Xiaoxia
AU - Huang, Xiaodi
N1 - Includes bibliographical references
PY - 2020/9/17
Y1 - 2020/9/17
N2 - Ventures of manufacturing multinationals into overseas markets are on the rise despite the recent rising protectionism. The optimal selection of international human resources is one of the critical success factors contributing to cross-border task performance and manufacturing efficiency. This paper addresses the expatriate selection problem by presenting an integrated two-stage optimization approach that makes use of data envelopment analysis and decision trees. A survey of 317 expatriates is conducted in multinational manufacturing productions for demonstrating the applicability and effectiveness of the proposed optimization approach. Findings reveal the optimal match between different sets of human critical success factors and the external system variables under two different settings of cultural flows. This study contributes to the existing research by proposing an effective and practical optimization approach for selecting the best expatriates for cross-border production assignments.
AB - Ventures of manufacturing multinationals into overseas markets are on the rise despite the recent rising protectionism. The optimal selection of international human resources is one of the critical success factors contributing to cross-border task performance and manufacturing efficiency. This paper addresses the expatriate selection problem by presenting an integrated two-stage optimization approach that makes use of data envelopment analysis and decision trees. A survey of 317 expatriates is conducted in multinational manufacturing productions for demonstrating the applicability and effectiveness of the proposed optimization approach. Findings reveal the optimal match between different sets of human critical success factors and the external system variables under two different settings of cultural flows. This study contributes to the existing research by proposing an effective and practical optimization approach for selecting the best expatriates for cross-border production assignments.
KW - Individual variability
KW - Task performance
KW - Cross-border assignment
KW - Data envelopment analysis
KW - Decision trees
UR - https://www.mendeley.com/catalogue/c161e54a-c55b-3a0c-abaf-0cb118aee44b/
U2 - 10.1016/j.ijpe.2020.107926
DO - 10.1016/j.ijpe.2020.107926
M3 - Article
SN - 0925-5273
VL - 232
SP - 1
EP - 13
JO - International Journal of Production Economics
JF - International Journal of Production Economics
M1 - 107926
ER -