The Role of Generative AI in Structuring Organizational Knowledge

  • Firas Adredah Mansoor AL-Imam AL-Adham University college.
  • Zaid Mustafa Abdalrazzaq Aliraqia University / Medicine College.
Keywords: Generative Artificial Intelligence, Knowledge Structuring, Institutional Knowledge

Abstract

The study aims to measure the level of awareness of the study sample about generative AI technologies, and evaluate the actual and expected impact of using generative AI on the quality and efficiency of institutional knowledge structuring processes, and determine the power and impact of generative AI in its dimensions, (cognitive and applied) on the effectiveness of knowledge structuring. The descriptive-analytical approach was adopted in the study side by side with questionnaire, observation and standardizes interview were used as a method of collecting data. Also the SPSS statistical program version 23 was used to analyze the results of the study, and the study came out with a number of results, most notably: The level of awareness and perception of the benefits of generative AI (cognitive dimension) came in first place with a high arithmetic average (4.15), It was found that there is a clear disparity as the awareness and perception of the benefits of generative AI exceeds the level of its actual application in the organization (application dimension 3.80). The low standard deviation values (less than 0.80) indicate a great homogeneity in the opinions of the sample members about the various dimensions of the study, and there is a very strong and statistically significant direct correlation between generative artificial intelligence and knowledge structuring, where the correlation coefficient reached (0.75), the multiple regression model also proved to be statistically valid and predictable, with a significance value of (0.000) less than 0. The cognitive and applied dimensions together explain a very high rate of 64% of the variance in the effectiveness of institutional knowledge structuring (R2 0.64).

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References

Al-Aswadi, F. N., Chan, H. Y., & Gan, K. H. (2025). From Experts to LLMs: Evaluating the Quality of Automatically Generated Ontologies. In Proceedings of the 2nd International Workshop on Evaluation of Language Models in Knowledge Engineering (Vol. 3977, elmke-1.pdf). CEUR-WS.org.

Babaei Giglou, H., D'Souza, J., & Auer, S. (2023). LLM-based Triplet Extraction for Automated Ontology Generation in Software Engineering Standards. arXiv preprint arXiv:2509.00140.

Chen, Y., Yu, X., Zhu, H., & Wang, J. (2025). “My AI is Lying to Me”: User-reported LLM hallucinations in AI mobile apps reviews. Journal of the American Medical Informatics Association, 32(6), 1140–1149.

David, l., & David, l. (2012). Business Intelligence. use : the savvy managers Guid use.

Elzomor, M., & Elsayed, A. E. (2025). Addressing accuracy and hallucination of LLMs in Alzheimer's disease research through knowledge graphs. arXiv preprint arXiv:2508.21238.

European Commission. (2024). Living guidelines on the responsible use of generative AI in research. Publications Office of the European Union.

Guitii, S., & Kagwathi. (2014). Knowledge management Practices and innovation Performance. ISOR Journal of Business an management, Vol.16, Issuse 2, 89–94.

Hamed Babaei Giglou، Jennifer D'Souza، و Sören Auer. (2023). LLM-based Triplet Extraction for Automated Ontology Generation in Software Engineering Standards.

Hamed Babaei Giglou، Jennifer D'Souza، و Sören Auer. (2023). LLM-based Triplet Extraction for Automated Ontology Generation in Software Engineering Standards.

Jennex, M., & Olfman. (2006). A model of Knowledge Management Success. International Journal of Knowledge Management, Vol.2, Iss.3, 51–68.

Miler, G., & Thompson, P. (2024). Ethical and legal considerations in healthcare AI: innovation and policy for safe and fair use. Digital Health, 10, 20552076241249911.

Saxena, P. (2015, December). JOHARI WINDOW: An Effective Model for Improving Interpersonal Communication and Managerial Effectiveness. SIT Journal of Management, Vol. 5, No. 2, p.146.

Singh, M., Kulkarni, R., & Jain, S. (2025). The Clinicians' Guide to Large Language Models: A General Perspective With a Focus on Hallucinations. Cureus, 17(2).

Smollan, R. K. (2016). Managing resistance to change in organizations: A critical review of strategies and best practices. The Journal of Applied Behavioral Science, 52(4), 512–539.

Somerville, K., Cinite, I., & Largacha-Martínez, C. (2021). Organizational Change Skills: An Empirical Cross-National Study. Open Journal of Business and Management, 9(2), 894–911.

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., … & Polosukhin, I. (2017). Attention is all you need. Advances in Neural Information Processing Systems, 30.

Wang, J., Mao, W., & Wenjie, W. (2023). The Ethics of Artificial Intelligence: Sociopolitical and Legal Dimensions. Interdisciplinary Studies in Society, Law, and Politics, 2(2), 27–32.

Ibrahim Khaluf al-Malkawi. (2007). Knowledge Management. Amman: Al-Warraq Publishing & Distribution.

Ibrahim Khaluf al-Malkawi. (2007). Knowledge Management. Amman: Al-Warraq Publishing & Distribution.

Ismail Al-Rubaie, & Hussein Muqrash. (2020). The Impact of Knowledge Management Requirements on Organizational Change: A Case Study of Algerian Higher Education Institutions. Retrieved from Institutional Deposit:

http://dspace.univ-jijel.dz:8080/xmlui/handle/123456789/6488

Khalafallah, & Hisham. (2023). The Use of Artificial Intelligence Technologies in Religious Awareness. Journal of Digital Media Research, 2(1), 137–141.

Rabiei, S., Lahsheb, H., Muqrash, & Fawzia (Musharraf). (2020). The Impact of Knowledge Management Requirements on Organizational Change: A Case Study of Algerian Higher Education Institutions (Doctoral Dissertation), University of Jijel.

Azzouz Layadi, Nour Al-Mona, & Massawir Adam. (2022). The Reality of Applying Knowledge Management Requirements among University Professors. Revue Organisation et Travail, 10(4), 5–18.

Azzouz, L., Essam, M., & Nour Al-Mona. (2022). The Reality of Applying Knowledge Management Requirements among University Professors. Revue Organisation et Travail, 10(4), 5–18.

Ghazi Al-Harthi, & Yasser Al-Fayedi. (2020). The Role of Knowledge Management in Project Management. Conferences of Arts, Humanities and Natural Sciences.

Ghazi Al-Harthi, & Yasser Al-Fayedi. (2020). The Role of Knowledge Management in Project Management. Conferences on Arts, Humanities and Natural Sciences, 449–450. Istanbul, Turkey.

Ghazi Al-Harthi, & Yasser Al-Fayedi. (2020). The Role of Knowledge Management in Project Management. Conferences on Arts, Humanities and Natural Sciences, 449–450. Istanbul, Turkey.

Ahmed Hamshari. (2012). Knowledge Management: The Path to Excellence and Leadership. Amman: Safaa Publishing and Distribution.

Muwafaq Iman Nafisa. (2023). Knowledge Management and Human Resource Management Development: A Case Study of the Oran Port Institution EPO. Algeria, Oran.

Muwafaq Iman Nafisa. (2023). Knowledge Management and Human Resource Management Development: A Case Study of the Oran Port Institution EPO. Algiers, Oran.

Nagham Nehma. (2024). The Impact of Artificial Intelligence on Achieving Sustainable Development. Enterprenuership Journal for Finance and Business, 01–03.

Nagham Nehma. (2024). The Impact of Artificial Intelligence on Achieving Sustainable Development. Enterprenuership Journal for Finance and Business, 01–03.

Nagham Nehma. (2024). The Impact of Artificial Intelligence on Achieving Sustainable Development. Enterprenuership Journal for Finance and Business, 01–03.

Hisham Khalafallah. (2023). The Use of Artificial Intelligence Technologies in Religious Awareness. Journal of Digital Media Research, 2(1), 137–141.

Hisham Khalafallah. (2023). The Use of Artificial Intelligence Technologies in Religious Awareness. Journal of Digital Media Research, 2(1), 137–141.

Saudi Data and Artificial Intelligence Authority (SDAIA). (2023). Generative Artificial Intelligence (1). Generative AI Series, November 2023.

Published
2026-02-12
How to Cite
Mansoor, F., & Abdalrazzaq, Z. (2026). The Role of Generative AI in Structuring Organizational Knowledge. GPH-International Journal of Applied Management Science, 6(1), 30-45. https://doi.org/10.5281/zenodo.18617647