A Model of Evaluating Knowledge Worker Productivity in Iran’s Automotive Industry to Implement the Resistance Economy Policies

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
This study aims to design a productivity model of knowledge worker human resources in the automotive industry in Iran. The research method was qualitative-quantitative, through exploratory content-analysis. The interview was done with 16 experts through snowball sampling. The coding was done through Maxqda software which resulted in 258 concepts, 27 peripherals, and 7 main themes. In the quantitative phase, the conceptual model was conducted through field research and questionnaire which was filled by 221 persons in the automotive industry. Then, by administering confirmatory analysis, the reliability and validity was done by SWARA method. In the organizational aspect, some elements were extracted such as environmental, strategic, technological, organizational structure, knowledge management, and organizational structure. In terms of resources, some other elements such as human resources planning, employment, selection, and recruitment were identified. From the perspective of developmental process, talent management, performance management, and teaching were found. In maintenance, the elements were psychological health, hygiene, security and physical health, occupational factors, welfare, treatment, insurance, retirement, and income. Finally, in terms of practical processes, effective leadership, work conditions, working relations, and communications were some other factors to be considered.
Language:
Persian
Published:
Quarterly Journal of The Macro and Strategic Policies, Volume:11 Issue: 41, 2023
Pages:
32 to 55
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