Designing a comprehensive model of sustainable human resource management system in order to develop the automotive industry

The purpose of this research is to design a comprehensive model of sustainable human resource management system in order to develop the automotive industry. The present research is applied in terms of purpose, descriptive-survey in terms of inference method and qualitative and quantitative in terms of data nature. In order to achieve the objectives of the research using non-probable snowball sampling method (chain reference), the opinions of 15 experts in the field of human resources as well as senior development managers of Iran Khodro and Saipa companies were used. The present study was conducted in two stages, first with the data theory approach and with the help of NVivo Plus 2020 software, the code was identified and during open coding, 122 items were obtained as basic concepts from the text of the interviews in the form of 19 indicators and five dimensions. Causal conditions, contextual conditions, interventionist conditions, strategies and strategies, and outcomes and consequences were categorized. In order to validate the results of interviews and screen the indicators affecting sustainable human resource management in support of the development of the automotive industry, in addition to member control, a questionnaire and fuzzy Delphi method were used. The results of this part of the study showed that all 19 indicators were approved by research experts and their validity and reliability were also confirmed. Finally, a comprehensive model of sustainable human resource management system with an automotive industry development approach was designed in the form of a paradigm model.