Volume 4, Issue 2 (2014)                   ORMR 2014, 4(2): 66-81 | Back to browse issues page

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Shirazi A, Azhdari G. A Model for Knowledge Worker Competencies Design and Assessment: Case Study of Jobs. ORMR. 2014; 4 (2) :66-81
URL: http://ormr.modares.ac.ir/article-28-5277-en.html
1- Associate Prof., Faculty of Management and Economic Sciences, Ferdowsi University, Mashhad, Iran
2- . Ph.D. Student of Human Resource Management, Ferdowsi University, Mashhad, Iran
Abstract:   (11305 Views)
In knowledge era having efficient and competent knowledge workers is one of the most critical issues in both human resource management and knowledge management which help facilitating different purposes such as selection, recruitment, promotion, learning, job description and finally better performance. At the first step the competencies of knowledge workers identified according to existing literature. Then we analyzed the sub competencies of each category. According to literature 6 knowledge worker competencies indices have been chosen which were ability, skill, knowledge-based activities, structure, work style, interesting and value. Data gathered by 2 level of questionnaire which the first level was choosing the knowledge worker competencies then the second one was assessing the competencies in 3 job positions. There were 32 personnel which participate in this survey. To be able to assess the knowledge worker competencies and analyzing the findings we used the fuzzy TOPSIS method. Contribution of this paper is considering both knowledge based jobs specifications and competencies. Also it is important that we propose a model with specific steps to capture competencies and make it practical in different human resource management functions through assessing knowledge workers condition and comparing it with ideal and finally presenting the best possible knowledge workers and some methods for improving other knowledge workers.  
Full-Text [PDF 136 kb]   (6410 Downloads)    
Article Type: scientific research | Subject: -
Received: 2013/10/22 | Accepted: 2014/11/11 | Published: 2015/01/21

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