Document Type : Research Paper


1 Department of Public Administration, South Tehran Branch, Islamic Azad University, Tehran, Iran.

2 Department of Public Administration, Naragh Branch, Islamic Azad University, Naragh, Iran.

3 Department of Business Management, South Tehran Branch, Islamic Azad University, Tehran, Iran.


Given the challenges and global uncertainties in the business’s, the use of futurism to improve management in space research center in Iran has become very important. Hence, space sector needs continuous futurology improvement in its systems and processes to obtain higher levels of reliability. Therefore, this study is aiming to design a model to create an organization with high reliability. So, this research is among developing research. In terms of the nature and approach of research, it is a causal-effect research, while it should also be noted that the present study is mixed by Grounded theory. This research has done based on qualitative part of the research and semi-structured interviews with 20 experts and knowledgeable experts in Iran Space Research Institute and active academic experts at universities. Firstly, categories and subcategories have been selected through individual interviews with experts in the field of reliability based on snowball sampling method. The statistical population of this research in a small part consists of active employees of the organization in the Iranian Space Research Institute of 1000 people. The statistical sample in this research is 277 people and the sampling method is also available. The results showed that, security activities, learning and experience survival, high interaction ability activities, job rotation and trust, high learning ability and difficulties at work activities, managers' special attention to supply line forces, high transfer rate, knowledge management, teamwork, loyalty and dignity, teamwork and collaboration, organizational knowledge management, commitment to flexibility, talent management and organized turmoil are essential to create a highly reliable organization.


Main Subjects

  1. Farooghi, H., Lahooti Yeganeh, N., & Khazaee pool, M. (2017). Preventive maintenance planning based on scenario analysis considering faulty condition and heterogeneous community. 14th international conference on industrial engineering. (In Persian).
  2. Agwu, A. E., Labib, A., & Hadleigh-Dunn, S. (2019). Disaster prevention through a harmonized framework for high reliability organisations. Safety science111, 298-312.
  3. Roberson, D. W., & Kirsh, E. R. (2019). Systems science: a primer on high reliability. Otolaryngologic clinics of North America52(1), 1-9.
  4. Berthod, O., Grothe-Hammer, M., Müller-Seitz, G., Raab, J., & Sydow, J. (2017). From high-reliability organizations to high-reliability networks: the dynamics of network governance in the face of emergency. Journal of public administration research and theory27(2), 352-371.
  5. Irandoost, E., Alvani, M., Memarzadeh, G., & Manteghi, K. (2017). Incident management in social service organizations adobting high reliability approach. Journal of emergency management6(1), 63-75.
  6. Dong, Z., Li, B., Li, J., Huang, X., & Zhang, Z. (2022). Online reliability assessment of energy systems based on a high-order extended-state-observer with application to nuclear reactors. Renewable and sustainable energy reviews158, 112159.
  7. Stapelberg, R. F. (2009). Handbook of reliability, availability, maintainability and safety in engineering design. Springer, London.
  8. Martelli, P. F., Rivard, P. E., & Roberts, K. H. (2018). Caveats for high reliability in healthcare. Journal of health organization and management, 32(5), 674-690.
  9. Pillay, M., Enya, A., & Boateng, E. B. (2019). High reliability organisations and collective mindfulness for improving healthcare safety management: a scoping review protocol of factors, measures and instruments. International journal of occupational and environmental safety3(2), 8-13.
  10. Martínez‐Córcoles, M. (2018). High reliability leadership: a conceptual framework. Journal of contingencies and crisis management26(2), 237-246.
  11. Vogus, T. J., & Rerup, C. (2018). Sweating the “small stuff”: high-reliability organizing as a foundation for sustained superior performance. Strategic organization16(2), 227-238.
  12. Bagnara, S., Parlangeli, O., & Tartaglia, R. (2010). Are hospitals becoming high reliability organizations? Applied ergonomics41(5), 713-718.
  13. Chi, Z., Chen, R., Huang, S., Li, Y. F., Zhou, B., & Zhang, W. (2020). Multi-state system modeling and reliability assessment for groups of high-speed train wheels. Reliability engineering & system safety202, 107026.
  14. Dong, W., Moan, T., & Gao, Z. (2012). Fatigue reliability analysis of the jacket support structure for offshore wind turbine considering the effect of corrosion and inspection. Reliability engineering & system safety106, 11-27.
  15. Milosevic, I., Bass, A. E., & Combs, G. M. (2018). The paradox of knowledge creation in a high-reliability organization: a case study. Journal of management44(3), 1174-1201.
  16. Huang, W., Garbatov, Y., & Soares, C. G. (2013). Fatigue reliability assessment of a complex welded structure subjected to multiple cracks. Engineering structures56, 868-879.
  17. Salovaara, A., Lyytinen, K., & Penttinen, E. (2019). High reliability in digital organizing: mindlessness, the frame problem, and digital operations. MIS quarterly, 43(2), 555-578.
  18. Cresswell, J. W. (2013). Quantitative, qualitative and mixed research methods (Noori, Z., Toolabi, Z., & Poorashraf, Y, Trans). Ilam University Publisher. (In Persian).
  19. Sarmad, Z., Bazargan, A., & Hejazi, E. (2005). Research methods in behavioral sciences. Agah Publisher. (In Persian).
  20. Liu, Y., & Mahadevan, S. (2009). Probabilistic fatigue life prediction using an equivalent initial flaw size distribution. International journal of fatigue31(3), 476-487.
  21. Corbin, J., & Strauss, A. (2008). Introduction to context, process, and theoretical integration. In Basics of qualitative research (3rd ed.): techniques and procedures for developing grounded theory (pp. 87-116). DOI:
  22. Weick, K. E., & Sutcliffe, K. M. (2001). Managing the unexpected(Vol. 9). San Francisco: Jossey-Bass.
  23. Shi, D., Maydeu-Olivares, A., & DiStefano, C. (2018). The relationship between the standardized root mean square residual and model misspecification in factor analysis models. Multivariate behavioral research, 53(5), 676-694.