EconPapers    
Economics at your fingertips  
 

Developing a talent management model using government evidence from a large-sized city, Iran

Ali Mahfoozi, Sanjar Salajegheh, Mahmoud Ghorbani and Ayoub Sheikhi

Cogent Business & Management, 2018, vol. 5, issue 1, 1449290

Abstract: The objective of the present research study is to construct a Talent Management model for the public sector from exclusive and inclusive approaches. The authors used a questionnaire survey to collect data from 357 employees at 32 governmental organizations, and then applied structural equation modeling for further analyses. The results revealed that Talent Management model is a multifaceted construct consisting of two main parts (i.e. Talent Management Mindset and Talent Management Strategy) that affect the talent management practices in the public sector. Specially, the practices linked to Talent Management Mindset were found to be the most influential. Although studies concerning talent management are frequently founded on an exclusive approach, this study considered all employees in the organizations. The Talent Management model proposed in this study can provide vision as well as direction for the definition or practices of talent management in the public arena.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/23311975.2018.1449290 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:oabmxx:v:5:y:2018:i:1:p:1449290

Ordering information: This journal article can be ordered from
http://cogentoa.tandfonline.com/journal/OABM20

DOI: 10.1080/23311975.2018.1449290

Access Statistics for this article

Cogent Business & Management is currently edited by Len Tiu Wright and Tahir Nisar

More articles in Cogent Business & Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:oabmxx:v:5:y:2018:i:1:p:1449290