| Abstrakt: |
Industry 4.0 technologies can increase efficiency, promote the use of full production capacity, reduce costs, and thus improve the profitability of companies. Knowing the factors affecting the adoption of these technologies will greatly help manufacturing companies to invest in this field. This research aims to provide a pattern of adoption of Industry 4.0 technologies in Iran's auto part companies. In order to achieve the goal in this research, a mixed exploratory research method has been used in two stages, qualitative and quantitative. In this way, first, 86 related articles were reviewed using the meta-synthesis method and the factors affecting the adoption of Industry 4.0 technologies in industries were identified. Then, in the Delphi phase, with the help of 15 experts in this field, these factors were localized and screened. In the quantitative stage, the data obtained from the analysis questionnaire and the final model were presented using the structural equation modeling approach using the partial least squares method. Based on the results, 38 indicators in the form of 11 dimensions and 4 main factors “organizational”, “industrial”, “national” and “international” were identified as effective factors on the adoption of Industry 4.0 technologies in Iran's auto part companies. [ABSTRACT FROM AUTHOR] |
