Title :
A research on two-sided matching algorithm between new hired knowledge staff and position requirements
Author :
Wang, Meng ; Li, Hua
Author_Institution :
Sch. of Econ. & Manage., Xidian Univ., Xi´´an, China
Abstract :
Aimed at the common brain drain problem in the enterprise which caused by the mismatch between knowledge staff and position requirements, this paper has taken both their needs into consideration and calculated the satisfaction degrees of knowledge staff to position requirements and position requirements to knowledge staff separately. Then according to the satisfaction ranking results and combining two-sided matching algorithm, the paper has provided a knowledge staff arrangement plan which brings mutual satisfaction.
Keywords :
brain; human resource management; personnel; brain drain problem; hired knowledge staff arrangement plan; position requirements; satisfaction ranking results; two-sided matching algorithm; Economics; Educational institutions; Indexes; Personnel; Position measurement; Presses; Technology management; Knowledge staff; similarity; two-sided matching;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6010281