Document Type : Original Article

Authors

1 Assistant Professor, Department of Industry and Information Technology, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran

2 PhD Student in Information Technology Management, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran

10.22054/spsa.2025.83808.1053

Abstract

The digital transformation and Industry 4.0 technologies have significantly reshaped public sector management, necessitating a redefinition of managerial competencies. This study aimed to assess the competencies required for public sector managers to adapt to these transformations. This research is applied in terms of purpose and descriptive-analytical in terms of method. The study population included senior managers from the Ministry of Agriculture Jihad, with 17 participants selected through purposive sampling. A Likert-scale questionnaire based on the Industry 4.0 managerial competency model was used to evaluate the importance and performance of fourteen competencies. Data were analyzed using the Importance-Performance Analysis method, which is classified as a multi-criteria decision-making approach. Importance and performance scores were aggregated using the geometric mean, threshold values were determined through the arithmetic mean, and competencies were positioned in the IPA matrix and prioritized based on their placement. The results indicated that a participatory mindset, problem-solving and decision-making, and research orientation were competencies with strong performance. In contrast, disruptive leadership, data analysis, robotic process automation, project leadership, and sustainability were highly important but underperforming competencies requiring urgent improvement. Additionally, entrepreneurial intelligence, business intelligence, and connected technology architecture were identified as areas with excessive resource allocation. Based on the findings, this study proposed implementing targeted training programs, developing analytical infrastructures for data-driven decision-making, revising managerial performance evaluation systems, and strengthening technological interactions between managers and digital experts as strategies to enhance managerial competencies in Industry 4.0 within the public sector.

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