Volume 9, Issue 1 (2019)                   ORMR 2019, 9(1): 115-140 | Back to browse issues page

‎ 20.1001.1.22286977.1398.9.1.6.5

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zare H, Khanifar H, Yazdani H R, Ahmadi Azarm H. Evidence-Based Human Resource Management: Systematic review and qualitative interpretative meta-synthesis (QIMS). ORMR 2019; 9 (1) :115-140
URL: http://ormr.modares.ac.ir/article-28-24579-en.html
Evidence-Based Human Resource Management: Systematic review and qualitative interpretative meta-synthesis (QIMS)
Hamid Zare 1, Hossein Khanifar2 , Hamid Reza Yazdani3 , Hadi Ahmadi Azarm4
1- faculty member of university of Tehran , hzarea@ut.ac.ir
2- Full professor, University of Tehran
3- Assistance professor, University of Tehran
4- PH.D student in management, University of Tehran
Abstract:   (7235 Views)
This research answers to three main questions:  what, why, and how to develop evidence-based human resource management. A systematic review (SR) is used in literature review and qualitative interpretative meta-synthesis (QIMS) in synthesis and interpretation of data. 25 original articles were selected during the search, synthesis, and interpretation process, which eventually led to uptake of five dominant views about the concept of evidence-based human resource management (EBHR). Also, using this approach we found that it will improve the organization's outcomes and increase its competitiveness. Finally, by referring and exploring the literature on how to develop this approach in medical and health care field, we provide a framework for developing the model that is consist of thee sectors: process of evidence-based practice in human resources, influential factors or organizational determinants, and external factors or determinants. Each of these sectors will improve and develop evidence based practice approach in human resources management.
 
Keywords: Evidence-Based Human Resource Management (EBHR) meta-synthesis systematic review (SR)
Full-Text [PDF 276 kb]   (2307 Downloads)    
Article Type: Qualitative Research | Subject: Organizational Behavior and Human Resource Management
Received: 2018/08/29 | Accepted: 2019/06/9 | Published: 2019/10/2
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