Person-organization fit evaluation and process optimization based on the matching theory

Chengmeng Xue^{1, 2}, Yu Yang¹, Tao Yang¹, Tingting Zeng¹

COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(5) 174-180

¹State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, China
²School of Information, Guizhou University of Finance and Economics, Guizhou 550004, China

To achieve an optimal bidirectional person-organization fit (P-O fit) and improve the overall satisfaction degrees for both of the two sides, a bidirectional P-O fit evaluation and process optimization model is established based on the Matching Theory in this paper. To begin with, the bidirectional P-O fit evaluation factors set is built after the analysis of the indexes of these factors, and the index weights are calculated with the Rough Set Theory; Then, a Bidirectional P-O fit Evaluation and Process Optimization Model is proposed, with the Fit Conflict Resolve Algorithm (CRA) to ensure the persons and organizations to be matched one-to-one; Finally, the validity of this model is verified by its implementation in the enterprise HXMS.