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

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

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Article ID: iaor20164138
Volume: 19
Issue: 4
Start Page Number: 466
End Page Number: 484
Publication Date: Nov 2016
Journal: International Journal of Productivity and Quality Management
Authors: , ,
Keywords: management, allocation: resources, petroleum
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.

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