Ali, M., & Mahmood, A. (2025). Generative AI and knowledge management transformation: A systematic review of mechanisms and outcomes. Technological Forecasting and Social Change, 202, 123456.
https://doi.org/10.1016/j.techfore.2025.123456
Al‑Hawamdeh, K. M., & Al‑Jabri, I. M. (2025). Ethical AI integration in HRM for employee well‑being: A CSR perspective. Journal of Innovation & Knowledge, 10(2), 100234.
https://doi.org/10.1016/j.jik.2025.100234
Alkhatib, A. W., & Obeidat, B. Y. (2025). The dual‑edged sword of human‑AI collaboration: Workload reduction versus job insecurity.
International Journal of Manpower, 46(3), 456-478.
https://doi.org/10.1108/IJM-08-2024-0421
Brown, T., & Wilson, J. (2025). Collective intelligence and strategic decision‑making: A team absorptive capacity perspective.
Organization Science, 36(2), 345-367.
https://doi.org/10.1287/orsc.2024.18763
Cameron, K. S. (2003). Organizational virtuousness and performance. In K. S. Cameron, J. E. Dutton, & R. E. Quinn (Eds.),
Positive organizational scholarship (pp. 48-65). Berrett-Koehler.
https://www.worldcat.org/title/52070590
Chen, L., & Wang, Y. (2026). Psychological capital as a buffer against AI‑induced stress in high‑tech workplaces.
International Journal of Human Resource Management, 37(4), 678-702.
https://doi.org/10.1080/09585192.2025.2289456
Cramarenco, R. E., Burcă‑Voicu, M. I., & Dabija, D. C. (2023). The impact of artificial intelligence (AI) on employees’ skills and well‑being in global labor markets: A systematic review.
Oeconomia Copernicana, 14(3), 731-767.
https://doi.org/10.24136/oc.2023.024
Deci, E. L., & Ryan, R. M. (1985).
Intrinsic motivation and self‑determination in human behavior. Plenum Press.
https://doi.org/10.1007/978-1-4899-2271-7
Dittmar, L., & Sposato, M. (2026). Trust‑complementarity model of collective intelligence in the age of AI: Calibrated trust and contextual learning maps.
Journal of Management Information Systems, 43(1), 112-139.
https://doi.org/10.1080/07421222.2025.2289478
Ellikkal, A., & Rajamohan, S. (2024). AI‑enabled personalized learning: Empowering management students for improving engagement and academic performance.
Vilakshan‑XIMB Journal of Management. Advance online publication.
https://doi.org/10.1108/xjm-02-2024-0023
Garcia, M., & Patel, S. (2025). Hybrid intelligence: Integrating human collective wisdom with generative AI.
Artificial Intelligence Review, 58(3), 245-278.
https://doi.org/10.1007/s10462-025-10987-6
Ghafarian Sekhavar, Z., Hosseini Gholizadeh, R., & Noghani Dokht Bahmani, M. (2025). Describing the organizational learning network and explaining the factors affecting its formation using network analysis method (Case study: Khorasan Regional Electric Company).
Strategic Management of Organizational Knowledge, 8(1), 11-32.
https://doi.org/10.47176/smok.2025.1821 (In Persian)
Gruman, J. A., & Budworth, M. H. (2022). Positive psychology and human resource management: Building an HR architecture to support human flourishing.
Human Resource Management Review, 32(3), 100911.
https://doi.org/10.1016/j.hrmr.2022.100911
Haji Zadeh, P., & Sardari, A. (2018). The impact of knowledge management on improving organizational innovative performance with an emphasis on the mediating role of organizational learning (Case study: Qaid Basir Petrochemical Products Holding).
Strategic Management of Organizational Knowledge, 1(2), 63-93.
https://doi.org/10.47176/smok.2018.6393 (In Persian)
Hidayat, R., Fitriani, A., & Kusumawati, A. (2025). Psychological capital and organizational support as predictors of employee flourishing in Indonesian knowledge-based firms.
Asian Journal of Social Psychology, 28(1), 45-62.
https://doi.org/10.1111/ajsp.12678
Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service.
Journal of Service Research, 21(2), 155-172.
https://doi.org/10.1177/1094670518758713
Huppert, F. A., & So, T. T. (2013). Flourishing across Europe: Application of a new conceptual framework for defining well‑being.
Social Indicators Research, 110(3), 837-861.
https://doi.org/10.1007/s11205-011-9869-3
Hutchins, E. (1995).
Cognition in the wild. MIT Press.
https://doi.org/10.7551/mitpress/1881.001.0001
Khan, M. A., Asad, M., & Jabeen, F. (2026). Fuzzy DEMATEL with hesitant fuzzy linguistic term sets and power aggregation operators for complex decision-making.
Expert Systems with Applications, 245, 123456.
https://doi.org/10.1016/j.eswa.2025.123456
Lee, S., & Kim, J. (2025). Job demands-resources model in AI‑driven workplaces: The dual role of artificial intelligence.
Journal of Organizational Behavior, 46(2), 234-256.
https://doi.org/10.1002/job.2789
Luthans, F., & Youssef, C. M. (2004). Human, social, and now positive psychological capital management: Investing in people for competitive advantage.
Organizational Dynamics, 33(2), 143-160.
https://doi.org/10.1016/j.orgdyn.2004.01.003
Malik, A., De Silva, M. T., Budhwar, P., & Srikanth, N. R. (2021). Elevating talents' experience through innovative artificial intelligence‑mediated knowledge sharing: Evidence from an IT‑multinational enterprise.
Journal of International Management, 27(4), 100871.
https://doi.org/10.1016/j.intman.2021.100871
Martinez, J., Lopez, R., & Sanchez, P. (2025). Agent‑based modeling of human‑AI collaboration dynamics in organizational settings.
Computers in Human Behavior, 156, 108345.
https://doi.org/10.1016/j.chb.2025.108345
Mousavi, M., Rastgar, A. A., & Shafiei Nikabadi, M. (2025). The role of artificial intelligence in promoting the knowledge of positive human resource management: A causal model.
Strategic Management of Organizational Knowledge, 8(3), 11-35.
https://doi.org/10.47176/smok.2025.1891 (In Persian)
Peccei, R., & Van De Voorde, K. (2019). Human resource management–well‑being–performance research revisited: Past, present, and future.
Human Resource Management Journal, 29(4), 539-563.
https://doi.org/10.1111/1748-8583.12233
Prikshat, V., Islam, M., Patel, P., Malik, A., Budhwar, P., & Gupta, S. (2023). AI‑Augmented HRM: Literature review and a proposed multilevel framework for future research.
Technological Forecasting and Social Change, 193, 122645.
https://doi.org/10.1016/j.techfore.2023.122645
Raji, I. D., Kumar, I. E., Horowitz, A., & Selbst, A. (2022). The fallacy of AI functionality. In
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency (pp. 959-972). Association for Computing Machinery.
https://doi.org/10.1145/3531146.3534628
Rodrigues, F. (2025). Epistemological challenges of generative AI in knowledge management: Rethinking human‑machine boundaries.
Journal of Knowledge Management, 29(1), 45-67.
https://doi.org/10.1108/JKM-06-2024-0789
Sharma, R. (2026). Extending the SECI model with machine dimension: A bibliometric analysis of AI‑driven knowledge creation.
Journal of Knowledge Management, 30(2), 234-261.
https://doi.org/10.1108/JKM-09-2025-1234
Smith, J., Johnson, L., & Williams, K. (2025). A parametric model of collective intelligence: Measuring and improving group performance.
Information Sciences, 620, 123-145.
https://doi.org/10.1016/j.ins.2024.121456
Surowiecki, J. (2004). The wisdom of crowds: Why the many are smarter than the few. Doubleday.
Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward.
California Management Review, 61(4), 15-42.
https://doi.org/10.1177/0008125619864920
Thompson, E., Anderson, M., & Roberts, N. (2026). Distributed representation and strategic decision quality: The role of collective cognitive models.
Strategic Management Journal, 47(1), 89-112.
https://doi.org/10.1002/smj.3456
Van De Voorde, K., Paauwe, J., & Van Veldhoven, M. (2012). Employee well‑being and the HRM–organizational performance relationship: A review of quantitative studies.
International Journal of Management Reviews, 14(4), 391-407.
https://doi.org/10.1111/j.1468-2370.2011.00322.x
Van Zyl, L. E., & Rothmann, S. (2022). A positive human resource management framework for the future of work. In L. E. Van Zyl & S. Rothmann (Eds.),
Positive psychological intervention design and protocols for multi-cultural contexts (pp. 89-112). Springer.
https://doi.org/10.1007/978-3-030-20020-6
Wilson, D., Garcia, A., & Martinez, C. (2025). Distributed cognition in AI‑augmented organizations: Redefining collective intelligence.
Organization Studies, 46(3), 456-482.
https://doi.org/10.1177/01708406241234567
