Providing a Causal Model of Industrial Resilience Using Thematic Analysis and Interpretive Structural Modeling in the Automotive Parts Manufacturing Industry
Keywords:
Industrial resilience, theme analysis, Interpretive structural modeling, auto parts manufacturing industryAbstract
The aim of this study is to provide a causal model of industrial resilience using thematic analysis and interpretive structural modeling in the automotive parts manufacturing industry. The research approach is applied, and in terms of nature and method, it is descriptive-analytical and survey-based, falling under the category of mixed methods research (initially qualitative, followed by quantitative). Data and information were collected through a review of library and documentary sources and field observations (interviews and questionnaires). Quantitative models and software were employed for data analysis. Additionally, through thematic analysis and expert interviews, key drivers influencing industrial resilience were identified and selected. Based on the research findings, the overall pattern of industrial resilience drivers in the automotive parts manufacturing industry reflects an unstable environmental system, demonstrating an intermediate state of influence and susceptibility. To identify the relationships between variables and network resilience, the combined DEMATEL-ISM technique was utilized. The study's findings indicate 32 dimensions for designing the industrial resilience model. The results of interpretive structural modeling reveal that the factors of multiple suppliers and contractors, employee training, and knowledge transfer are the most influential components of the resilience model. Conversely, components such as facilitating inter-company collaboration, activities related to sales promotion, networking and cooperation with competitors, institutions, and research and knowledge-based organizations, product marketing and promotion, customer communication, and feedback reception are the most impacted components of the resilience model in the automotive parts manufacturing industry.
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