amir ardehi

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.

The automotive industry, as a job-creating and infrastructure industry, needs an executive model for success in the domestic and international markets. In this regard, the present study has been conducted with the aim of designing a model for implementing the fourth generation industry to achieve sustainable development goals in Iran Khodro Company. The study is an applied-developmental study in terms of purpose and cross-sectional survey research. Also, in this study, a mixed research method (qualitative-quantitative) was used. Content analysis method and MaxQDA software were used for data analysis in the qualitative section. Then, using Interpretive Structural Modeling (ISM) with MICMAC software, the initial pattern was drawn. In the quantitative section, one-sample t-test and SPSS software were used to measure the current situation. The research findings showed that the Collection and Analysis of Big Data affects the Simulation and Automatic Robots. These factors affect horizontally and vertically integration systems and thus lead to the Internet of Industrial Things, Augmented Reality and Cyber Security. Further, through the Cloud Computing system, Additive Manufacturing is affected and this Additive Manufacturing leads to Sustainable Development.