Analyzing the Components of Resource Utilization with a Risk Management Approach: A Grounded theory Research

Subject Areas : Other related topics

Mina Sadeghzadeh ¹ , Hossein Adab ² , Mohammadali Keramati ³ , Zabiholah Hashemi ⁴

1 - Ph.D. Candidate, Islamic Azad University, Central Tehran Branch, Tehran, Iran.
2 - 2. Assistant Professor, Department of Industrial Management, Islamic Azad University, Central Tehran Branch, Tehran, Iran.
3 - 3. Associate Professor, Department of Industrial Management, Islamic Azad University, Central Tehran Branch, Tehran, Iran.
4 - 2. Assistant Professor, Department of Industrial Management, Islamic Azad University, Central Tehran Branch, Tehran, Iran.

Received: 2024-02-20 Accepted : 2024-07-06 Published : 2024-07-31

Keywords: Resource utilization, Risk management, Grounded Theory, Copper Industry ,

Abstract :

Risk management is one of the solutions of organizations to deal with uncertainty in the business environment, which has an effective role in using resources, as well as maintaining and promoting efficiency and effectiveness, and as a result,improving the organization's performance. The purpose of this research is to analyze the components of resource utilization with a risk management approach using the evolutionary theory (foundation data). In order to collect data in the qualitative part,semi-structured interviews were used, and the interviewees included managers and experts of one of the companies active in the copper industry and were selected purposefully. In order to model, the version of Strauss and Corbin was used in the foundation data approach.In this process, 60 concepts and 21 categories were created and they were grouped in the main 6 axis of Grounded theory. In the quantitative validation part of the model, structural equation modeling method was used.At first, questionnaires were compiled and their validity and reliability were examined.Content validity, divergent and convergent validity were used to measure validity, and Cronbach's alpha method was used for reliability and all were confirmed.Then it was distributed among the statistical sample. The statistical sample of managers and experts of the studied company was 82 people, and based on this, sampling was not done and the total number was counted.Based on the analysis of the questionnaire data, considering the non-normality of the data distribution,the research model was tested and confirmed by the partial least squares method with the help of SmartPLS3 software.

References:

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