چارچوب مدیریت دانش مبتنی بر هوش مصنوعی مولد در سازمان‌های دولتی

References

Babaei, M., & Salehi, P. (2025). Challenges of using artificial intelligence in the knowledge acquisition process of students at Farhangian University of Kurdistan Province and their solutions. Journal of Knowledge Retrieval and Semantic Systems. Advance online publication. https://doi.org/10.22054/jks.2025.87960.1738 [In Persian]

Dobahrizadeh, M., & Farhadpour, M. R. (2025). The effect of organizational, individual, and informational factors on the use of health information system (Case study: The health information system of Amir al-Mominin Hospital in Ahvaz). Journal of Knowledge Retrieval and Semantic Systems,  12(44), 1-34. https://doi.org/10.22054/jks.2024.74242.1585 [In Persian]

Alavi, M., & Leidner, D. E. (2001). Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25(1), 107–136. https://doi.org/10.2307/3250961

Birkinshaw, J., & Gibson, C. (2004). Building ambidexterity into an organization. MIT Sloan Management Review, 45(4), 47–55.

Charmaz, K. (2014). Constructing grounded theory (2nd ed.). Sage Publications.

Dalkir, K. (2017). Knowledge management in theory and practice (3rd ed.). MIT Press.

Davenport, T. H., & Prusak, L. (1998). Working knowledge: How organizations manage what they know. Harvard Business School Press.

Grover, V., & Davenport, T. H. (2001). General perspectives on knowledge management: Fostering a research agenda. Journal of Management Information Systems, 18(1), 5–21. https://doi.org/10.1080/07421222.2001.11045669

Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75–105. https://doi.org/10.2307/25148625

Kraus, S., Palmer, C., Kailer, N., Kallinger, F. L., & Spitzer, J. (2021). Digital transformation and entrepreneurship: A structured literature review. Review of Managerial Science, 15(5), 1–36. https://doi.org/10.1007/s11846-020-00412-4

Lee, J., & Kang, M. (2022). Knowledge management in the era of AI: Emerging trends and future directions. Journal of Knowledge Management, 26(8), 1763–1779. https://doi.org/10.1108/JKM-02-2022-0142

Maier, R., & Hädrich, T. (2021). Artificial intelligence and knowledge management: Potentials and challenges. Knowledge Management Research & Practice, 19(2), 201–209. https://doi.org/10.1080/14778238.2020.1784846

Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. Oxford University Press.

Polanyi, M. (1966). The tacit dimension. University of Chicago Press.

Sarker, S., Sarker, S., & Sahaym, A. (2022). Understanding digital transformation: A review and future research agenda. Information Systems Frontiers, 24(5), 1103–1120. https://doi.org/10.1007/s10796-021-10184-9

Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(3), 379–423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x

Shin, D., & Park, Y. (2023). Leveraging generative AI for organizational knowledge creation: A conceptual framework. Information Systems Frontiers, 25(2), 567–582. https://doi.org/10.1007/s10796-022-10333-1

Shneiderman, B. (2020). Human-centered artificial intelligence: Reliable, safe & trustworthy. International Journal of Human–Computer Interaction, 36(6), 495–504. https://doi.org/10.1080/10447318.2020.1741118

Strauss, A., & Corbin, J. (1998). Basics of qualitative research: Techniques and procedures for developing grounded theory (2nd ed.). Sage Publications.

Strauss, A. L. (1987). Qualitative analysis for social scientists. Cambridge University Press.

von Krogh, G., Ichijo, K., & Nonaka, I. (2000). Enabling knowledge creation: How to unlock the mystery of tacit knowledge and release the power of innovation. Oxford University Press.

Wang, S., & Noe, R. A. (2010). Knowledge sharing: A review and directions for future research. Human Resource Management Review, 20(2), 115–131. https://doi.org/10.1016/j.hrmr.2009.10.001

Yin, R. K. (2017). Case study research and applications: Design and methods (6th ed.). Sage Publications.

Zhang, Q., Zuo, J., & Yang, S. (2025). Research on the impact of generative artificial intelligence (GenAI) on enterprise innovation performance: A knowledge management perspective. Journal of Knowledge Management, 29(7), 2238–2257. https://doi.org/10.1108/JKM-10-2024-1198

Zhao, J., & Xu, S. (2023). The role of generative AI in knowledge management: Opportunities and challenges. Journal of Knowledge Management, 27(4), 1234–1252. https://doi.org/10.1108/JKM-10-2022-0698