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

Authors: Nazanin Moradinasab; Rahman Soofifard; Gholam Reza Asili

Addresses: TMU, Department of Industrial Engineering, Research Institute of Petroleum Industry (RIPI), NIOC, Iran ' ACECR, Technology Development Institute, Iran; Department of Training, Research Institute of Petroleum Industry (RIPI), NIOC, Iran ' Department of Studies and Human Resource Planning, Research Institute of Petroleum Industry (RIPI), NIOC, Iran

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.

DOI: 10.1504/IJPQM.2016.080153

International Journal of Productivity and Quality Management, 2016 Vol.19 No.4, pp.466 - 484

Received: 25 Nov 2014
Accepted: 28 Jan 2015
Published online: 06 Nov 2016 *

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