Categorizing Effective Leadership Archetypal in Upsurging Job Motivation : A Fuzzy Analytical Hierarchical Process

Authors

  • Patrick Obeng Danso  School of Finance and Economics, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu, P.R. China
  • Yusheng Kong  School of Finance and Economics, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu, P.R. China

DOI:

https://doi.org//10.32628/IJSRST207242

Keywords:

Autocratic leadership, TOPSIS, Fuzzy Importance Performance Analysis

Abstract

Management and line managers in every organization including healthcare organizations have an important role to play in managing their subordinates to ensure that the organization can grow from time to time. Leadership theories stem from the onset in every organization and open fresh doors and contribute greatly to the success of the organization, thus starting from the organizational growth to the last point where it reflect the overall performance of the organization. The research used a purposive sampling technique and selected 10 private hospitals from Accra and Tema as a sample. A questionnaire was designed based on inductive reasoning. To ensure some homogeneity of social background, all subjects were selected purposively. The fuzzy TOPSIS analysis, shows that democratic leadership has the most proximity indicator with promotion of employees’ motivation scales among assessed leadership styles and is recommended as proposal option in organizations where expect leadership approach grounded in promoting employees’ motivation.

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International Journal of Scientific Research in Science and Technology

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Published

2020-04-30

Issue

Volume 7, Issue 2, March-April-2020

Section

Research Articles

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How to Cite

[1]
Patrick Obeng Danso, Yusheng Kong, " Categorizing Effective Leadership Archetypal in Upsurging Job Motivation : A Fuzzy Analytical Hierarchical Process , International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 7, Issue 2, pp.236-250, March-April-2020. Available at doi : https://doi.org/10.32628/IJSRST207242