EconPapers    
Economics at your fingertips  
 

Developing an effective mathematical model for leadership styles selection by using fuzzy logic: a case on RIPI HR characteristics

Nazanin Moradinasab, Rahman Soofifard and Gholam Reza Asili

International Journal of Productivity and Quality Management, 2016, vol. 19, issue 4, 466-484

Abstract: Different groups of employees are managed differently and may require different leadership styles based on human resource characteristics, including uniqueness and strategic value of human capital. Choosing concurrent leadership style is one of the most important phases of the strategic human resource management (SHRM), which attracted increasing attention of many researchers. Literature review reveals that there are four leadership styles consisting of transformational, empowering, directive and transactional. In this paper, an effective mathematic model is developed to determine the appropriate leadership styles for organisations according to human resource characteristics. This model is based on a fuzzy logic with data from Research Institute Petroleum Industry (RIPI) HR characteristics to show how it can be employed in reality.

Keywords: fuzzy logic; human resource management; strategic HRM; leadership styles; uniqueness; strategic value; mathematical modelling; human capital; case style; transformational leadership; empowering leadership; directive leadership; transactional leadership; Iran. (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=80153 (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:ids:ijpqma:v:19:y:2016:i:4:p:466-484

Access Statistics for this article

More articles in International Journal of Productivity and Quality Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijpqma:v:19:y:2016:i:4:p:466-484