Measuring the Indicators and Factors Affecting the Productivity of Human Resources in Scientific and Technological Organizations

Background & Purpose: Human resources are one of the most important resources in organizations. In this regard, the identification of effective factors on the productivity of human resources leads to individual and organizational development and performance in this type of organizations. The aim of the research is to measure indicators and factors affecting the productivity of human resources in ACECR.
Methodology: The applied-developmental research method is combined in terms of collection and analysis. The statistical population is managers, experts of ACECR. In the qualitative part, the statistical sample was determined using targeted sampling with maximum diversity, and in the quantitative part, using random sampling and Cochran's formula. To analyze the data and information, thematic and quantitative-qualitative methods have been used.
Findings: The results show that 5 main themes include: knowledge, skill and system thinking, motivation, commitment, effective planning, competitiveness and development orientation, Scientific and technological indicators were extracted. 8 main themes including: creativity, education, leadership, job satisfaction, organizational culture, organizational structure, job motivation, support were identified. An organization was extracted. The results of structural equation modeling showed that the factors affecting the productivity of human resources have a significant effect on the indicators of productivity of human resources in the ACECR.
Conclusion: The presented framework for indicators and factors can be used as a practical guide and executive action for managers and planners in the field of human resources in scientific and technological systems in order to improve the effectiveness of the results and performance of scientific and technological activities.