Resource Productivity Indicators in Scientific and Technological Organizations Human
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...
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| Format: | Article |
| Language: | fas |
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Islamic Azad University, Tabriz Branch
2022-06-01
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| Series: | مدیریت بهره وری |
| Subjects: | |
| Online Access: | https://jpm.tabriz.iau.ir/article_692321_3b528f3c1a6cc737362df0f35e5793d0.pdf |
| _version_ | 1811215325410099200 |
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| author | Najaf Ghrachorloo Javid ghahremani nahr |
| author_facet | Najaf Ghrachorloo Javid ghahremani nahr |
| author_sort | Najaf Ghrachorloo |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T06:19:38Z |
| format | Article |
| id | doaj.art-cabddc825e6f45f590ed24de815f16a4 |
| institution | Directory Open Access Journal |
| issn | 2716-9979 2476-7298 |
| language | fas |
| last_indexed | 2024-04-12T06:19:38Z |
| publishDate | 2022-06-01 |
| publisher | Islamic Azad University, Tabriz Branch |
| record_format | Article |
| series | مدیریت بهره وری |
| spelling | doaj.art-cabddc825e6f45f590ed24de815f16a42022-12-22T03:44:21ZfasIslamic Azad University, Tabriz Branchمدیریت بهره وری2716-99792476-72982022-06-01162(61)تابستان21724110.30495/qjopm.2021.1926283.3118692321Resource Productivity Indicators in Scientific and Technological Organizations HumanNajaf Ghrachorloo0Javid ghahremani nahr1Assistant professor, Research and Development Institute (ACECR), Tabriz, IranPh.D. candidate, Department of Industrial Engineering, University of Kurdistan, Kurdistan, Iran and lecturer at Research and Development Institute (ACECR), Tabriz, IranProductivity 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.https://jpm.tabriz.iau.ir/article_692321_3b528f3c1a6cc737362df0f35e5793d0.pdfhuman resource productivityscientific and technological organizationscontent analysisconfirmatory factor analysisproductivity index |
| spellingShingle | Najaf Ghrachorloo Javid ghahremani nahr Resource Productivity Indicators in Scientific and Technological Organizations Human مدیریت بهره وری human resource productivity scientific and technological organizations content analysis confirmatory factor analysis productivity index |
| title | Resource Productivity Indicators in Scientific and Technological Organizations Human |
| title_full | Resource Productivity Indicators in Scientific and Technological Organizations Human |
| title_fullStr | Resource Productivity Indicators in Scientific and Technological Organizations Human |
| title_full_unstemmed | Resource Productivity Indicators in Scientific and Technological Organizations Human |
| title_short | Resource Productivity Indicators in Scientific and Technological Organizations Human |
| title_sort | resource productivity indicators in scientific and technological organizations human |
| topic | human resource productivity scientific and technological organizations content analysis confirmatory factor analysis productivity index |
| url | https://jpm.tabriz.iau.ir/article_692321_3b528f3c1a6cc737362df0f35e5793d0.pdf |
| work_keys_str_mv | AT najafghrachorloo resourceproductivityindicatorsinscientificandtechnologicalorganizationshuman AT javidghahremaninahr resourceproductivityindicatorsinscientificandtechnologicalorganizationshuman |