Fuzzy Delphi technique application in designing the managers’ professional ethics factors model with an emphasis on the mine workers’ mental health in the form of interpretive structural modeling

Document Type : Research Paper


1 Department of Management, Yazd Branch, Islamic Azad University, Yazd, Iran

2 Department of Industrial Management, Yazd Branch, Islamic Azad University, Yazd, Iran



This research aims to design a pattern for managers’ professional ethics factors focusing on the mine workers’ mental health. This research’s method, which is based on the interpretative paradigm, is developmental, respecting the goal, and it has an exploratory-analytical nature by an inductive approach adoption, and it has used mixed research (qualitative/quantitative) from the statistical community of industry and university experts through a targeted sampling method. Three steps have been considered to achieve the research’s main goal. The factors of the managers’ professional ethics have been identified in the research’s first step through investigating the published articles at the national and international level with content analysis method by NVIVO software, and then, the 15 main factors were finalized and confirmed through the Delphi method and using EXCEL software in the second step in order to naturalize the factors extracted from the articles emphasizing its effect on mine workers’ mental health. The factors rating and pattern presentation were done in the third step using the ISM method. The present research has provided the factors of professional ethics of Iranian mine managers and the relationships between these factors emphasizing the mine workers’ mental health to be applied by the mining industries’ managers of Iran and invited them to pay extra attention to factors such as characteristic traits and perceptual skills which are the most effective variables through presenting a pattern of managers’ professional ethics factors.


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Articles in Press, Corrected Proof
Available Online from 05 March 2024
  • Receive Date: 26 June 2023
  • Accept Date: 18 September 2023