DocumentCode :
576889
Title :
Meta Index Model Based Matchmaking for Human Resource Management: An Approach for Similarity Comparing between Employee and Job Position Using Meta Index Model
Author :
Keon Soo Lee ; Seungmin Rho
Author_Institution :
R&D Center, Wisepole, Seoul, South Korea
fYear :
2012
fDate :
26-28 Sept. 2012
Firstpage :
645
Lastpage :
649
Abstract :
One of the most important tasks in Human resource management is to find a suitable human for the given position. It is a difficult task because for human beings what they can do well is not always what they want to do and even if they have capability of fulfilling the requested task, the relationship among the team members can prevent them from being the good worker in the given position. Therefore, the ability of finding which employee is best for the given task is regarded as the expert knowledge of recruiters. In this paper, we propose a meta index model based matchmaking method for human resource management. This model describes each employee´s ability and each employer´s requirement. According to the model, the similarity between employees and jobs is calculated.
Keywords :
expert systems; job specification; personnel; recruitment; team working; employee ability; employer requirement; expert knowledge; good worker; human resource management; job position; meta index model based matchmaking method; recruiters; similarity comparing; team members; Collaboration; Companies; Filtering; Humans; Indexes; Ontologies; Resumes; Human Resource Management; Meta Index Model; Similarity Comparing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network-Based Information Systems (NBiS), 2012 15th International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-2331-4
Type :
conf
DOI :
10.1109/NBiS.2012.134
Filename :
6354899
Link To Document :
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