Resource Productivity Indicators in Scientific and Technological Organizations Human

Subject Areas : Human resources management)

Najaf Ghrachorloo ¹ , Javid ghahremani nahr ²

1 - Assistant professor, Research and Development Institute (ACECR), Tabriz, Iran
2 - Ph.D. candidate, Department of Industrial Engineering, University of Kurdistan, Kurdistan, Iran and lecturer at Research and Development Institute (ACECR), Tabriz, Iran

Received: 2021-05-26 Accepted : 2021-10-20 Published : 2022-06-22

Keywords: Content Analysis, Productivity index, human resource productivity, confirmatory factor analysis, scientific and technological organizations,

Abstract :

Productivity can be studied from different dimensions such as energy efficiency, capital, manpower, equipment, etc. Productivity of human resources is one of its most important dimensions and the correct use of other resources also depends on its productivity. Identifying and describing productivity indicators in different dimensions is one of the basic steps of productivity management. This is especially important in scientific and technological organizations. In the current study, the statistical population includes managers and experts of scientific and technological organizations. In this article, the mentioned indicators, with a sample size of 350 were reviewed through a questionnaire using qualitative methods of content analysis and content analysis and confirmatory factor analysis using MAXQDA, SPSS and AMOS software. The results revealed five general indicators: "effective and efficient planning", "financial and technological factors", "motivation, commitment and teamwork spirit","competitiveness and development" and "knowledge, skills and system thinking" as the most important indicators of human resource productivity in scientific and technological organizations. The indicator of knowledge, skills and system thinking has the lowest coefficient and that of effective and efficient planning has the highest coefficient in the final model. Accordingly, to increase the productivity of their human resources, scientific and technological organizations should pay special attention to team building skills, development of decentralized decision processes, strengthening the spirit of participation along with factors such as improving the quality of equipment, technologies and financial issues.

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