A Though Model Based on the Views of the Supreme Leader: Mixed Method (Case Study: Imam Hossein University)

Document Type : Case study

Authors

1 PhD Industrial Management , Department of Industrial Management, Faculty of Management, Noor Hedayat Non-Profit University, Shahrekord, Iran.

2 Imam Hossein University

Abstract

The main purpose of this study is to design a thought model based on the Supreme Leader's views. To achieve this goal, data were collected in two qualitative and quantitative phases using mixed explorative method. Initially, having reviewed the literature, the researchers identified the key components of thinking as 85 key concepts, 15 sub-criteria, and 5 criteria through interviews by 11 experts selected by theoretical sampling method.  In the qualitative phase, using Delphi method, 20 panelists reached a consensus on thought components after four rounds, and the research model was designed. The validity of qualitative part was confirmed by Kendall's coefficient (k = 0.89). A quantitative questionnaire was designed based on the findings of the qualitative phase. The face validity, content validity (Lawshe method), as well as construct validity (exploratory and confirmatory factor analysis) were estimated to be as much as 0.93 by Cronbach's alpha by the participation of 108 researchers at Imam Hussein Comprehensive University, 84 of whom were selected by random sampling method. The data analysis was performed in the quantitative phase through SPSS as well as LISREL software. The findings provided a thought model including the strategy of the bases of thinking, the view of Islam, the discourse of the leadership, and the outcome of thinking, of which highest score of Friedman's method was given to thinking (44.72), and the lowest score was given to strategies (40.65). Hence, it can be concluded that if organizations consider thinking paradigm, we may observe the emergence of learning and knowledge creating organizations.

Keywords

References

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History

  • Receive Date: 05 March 2020
  • Revise Date: 29 March 2020
  • Accept Date: 26 April 2020

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