High technologies intelligence management model at national level organizations

Authors

  • Farzan Majidfar Faculty of Management and Accounting, Allameh Tabataba’i University Author
  • Mohammad Reza Taghva Faculty of Management and Accounting, Allameh Tabataba’i University Author
  • Fatemeh Mohammadi Faculty of Management and Accounting, Allameh Tabataba’i University Author
  • Saeed Kazempourian Faculty of Management and Accounting, Allameh Tabataba’i University Author

DOI:

https://doi.org/10.37380/jisib.v11i3.714

Keywords:

High technologies, innovation management, technology intelligence, technology intelligence management, technology intelligence processes

Abstract

The purpose of this study is to investigate the interrelation of the main variables affecting technology intelligence management to design an appropriate model of high technologies intelligence management at national level organisations. Based on a literature review, a conceptual model was developed. It includes 11 main variables classified into three levels: the operational, managerial, and environmental levels. Participants in the present research included 160 experts in technology intelligence from Iranian universities and industry, 137 of whom completed the research questionnaire. Research information and hypotheses were analysed and tested using structural equation modeling, SPSS, and LISREL software. The findings show that to properly manage a technology intelligence system in high technologies at national level organisations, attention to the managerial and operational levels is more important than environmental factors. It also shows that to establish technology intelligence in organisations, managers should pay more attention to these factors to gain confidence in the effectiveness of the implementation of this system.

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Published

2024-12-10

How to Cite

Majidfar, F. ., Taghva, M. R. ., Mohammadi, F. ., & Kazempourian, S. . (2024). High technologies intelligence management model at national level organizations. Journal of Intelligence Studies in Business, 11(3), 57-75. https://doi.org/10.37380/jisib.v11i3.714