The strategic immunity response to organizational health requirements within the framework of artificial intelligence applications

Authors

  • Radeef H. Hakam Albayan university, Bagdad, Iraq
  • Madyan A. J. AL Mushattat Albayan university, Bagdad, Iraq

DOI:

https://doi.org/10.56967/ejfb2026811

Keywords:

organizational health, AI applications, strategic immunity interaction, organizational performance, adaptation, crisis prevention, work environment

Abstract

The study addresses the nature of the intertwined and integrated relationship between the organizational health of business organizations in the Iraqi tourism sector and strategic immunity, according to what these variables witness from the emergence of artificial intelligence with its capabilities and driving powers in supporting the organizational environment to predict potential risks and challenges during future periods, as well as increasing the level of transparency in the business environment and improving the integration of artificial intelligence in the organizational circle, starting from planning and passing through describing the nature of internal processes, reaching the achievement of targeted institutional goals. Thus, the three variables: artificial intelligence, strategic immunity, and organizational health are no longer just individual concepts, but have become institutionalized strategic tools prepared for the future.

One of the most important determinants of the current study lies in addressing an underexplored research area. To the best of our knowledge, there is a notable scarcity of prior studies that integrate strategic immunity, organizational health, artificial intelligence, and organizational culture within a unified framework. Existing Arab and international studies tend to examine these dimensions separately, rather than as interconnected drivers of digital organizational resilience.

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Published

2026-06-27

How to Cite

Hakam, R., & AL Mushattat, M. (2026). The strategic immunity response to organizational health requirements within the framework of artificial intelligence applications. Enterprenuership Journal For Finance and Bussiness, 7(02), 238–249. https://doi.org/10.56967/ejfb2026811

Issue

Section

Research articles

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