International Journal of Nonlinear Analysis and Applications

Validation of the implementation model of the fourth generation industry to achieve sustainable development goals in Iran Khodro Company

Document Type : Research Paper

Authors

1 Department of Industrial Management, Management and Economic Faculty, Science and Research Branch, Islamic Azad University, Tehran, Iran

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

3 Visiting Professor of Department of Industrial Management, Management and Economic Faculty, Science and Research Branch, Islamic Azad University, Tehran, Iran

4 Health and Industry Research Center, West Tehran Branch, Islamic Azad University, Tehran, Iran

Abstract

The current research was conducted with the aim of validating the implementation model of the fourth generation of the industry in order to achieve the goals of sustainable development in Iran Khodro Company. For this purpose, the initial model of the implementation of the fourth-generation industry was designed to achieve the goals of sustainable development in Iran Khodro Company, and then the designed model was validated. This research is applied-developmental in terms of purpose, and in terms of data collection method, it is non-experimental (descriptive) with a cross-sectional survey approach, and in terms of the nature of the data, it is mixed (qualitative-quantitative). The statistical population in the qualitative section included 8 senior managers of Iran Khodro Company and the targeted sampling method. The statistical population in the quantitative part included 384 experts with experience in Iran Khodro company and a simple random sampling method. The data collection tools in the qualitative part were questionnaires and semi-structured interviews, and in the quantitative part, the structural-interpretive modelling (ISM) questionnaire and a questionnaire with a 5-point Likert scale. In the qualitative part of the research, the content analysis technique and software (MAXQDA) were used to analyze the expert interviews and extract the main and secondary components. In the quantitative part of the research, the structural-interpretive modelling technique and software (MICMAC) were used to identify the causal relationships between the main components of the research and provide the initial model, and the partial least squares technique and software (SMART PLS) were used to validate the initial model. The final model included 10 main components and the results of the partial least squares technique fully confirmed the validity of the model.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 14, Issue 12
December 2023
Pages 275-287
  • Receive Date: 06 November 2022
  • Revise Date: 13 December 2022
  • Accept Date: 16 January 2023