[[1] Alterman, R., & Harsch, K. (2017). A more reflective form of joint problem solving. International Journal of Computer-Supported Collaborative Learning, 12(1), 9-33. https://doi.org/10.1007/s11412-017-9250-1

[2] Altshuller, G. S. (2007). The Innovation Algorithm: TRIZ, Systematic Innovation and Technical Creativity. Technical Innovation Center, Inc., 312 p. ISBN 0964074044.

[3] Cui, H., & Yasseri, T. (2024). AI-enhanced coLLective inteLLigence. Patterns, 5(11), 1-23. https://doi.org/10.1016/j.patter.2024.101074

[4] Gabsi, A. (2024). Integrating artificial intelligence in Industry 4.0: Insights, challenges, and future prospects-A literature review. Annals of Operations Research, 341(2-3), 1-28. https://doi.org/10.1007/s10479-024-06012-6

[5] Garzón, M., Álvarez-Pomar, L., & Rojas-Galeano, S. (2025). From collective intelligence to global optimisation: an agent-based model approach. Computing, 107(3). https://doi.org/10.1007/s00607-025-01429-8

[6] Jaiswal, A., Arun, C., & Varma, A. (2023). Rebooting employees: Upskilling for artificial intelligence in multinational corporations. In: Artificial Intelligence and International HRM. Routledge, 114-143. ISBN 9781003377085.

[7] Kosinski, M., Bachrach, Y., Kasneci, G., & Van-Gael, Ju. (2012). Crowd IQ: Measuring the intelligence of crowdsourcing platforms. Proceedings of the 4th annual ACM web science conference. ACM, 151-160. https://doi.org/10.1145/2380718.2380739

[8] Malone, T. W. (2019). Superminds: The Surprising Power of People and Computers Thinking Together, Amazon. Little, Brown and Company. 384 р. ISBN-10: 0316349135. URL: https://www.amazon.co.uk/Superminds-Surprising-Computers-Thinking-Together/dp/0316349135

[9] Mann, R., & Helbing, D. (2017). Optimal incentives for collective intelligence. Proceedings of the National Academy of Sciences, 114(20), 5077-5082. https://doi.org/10.1073/pnas.1618722114

[10] Naplyokov, Y. (2021). Application of collective emotional intelligence to improve public administration in conditions of a dynamic environment. Economy and the state, 2 (18), 16-25. https://doi.org/10.46922/2306-6806-2021-2 (in Ukr.).

[11] Ostrovska, H.Y., Strutynska, I.V., Sherstiuk, R.Р. Pietukhova, О.M., & Yasinetska, I.А. (2023). Development of collective intelligence in the enterprises’ digital transformation. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 3, 157-163. https://doi.org/10.33271/nvngu/2023-3/157

[12] Ostrovska, H., Tsikh, H., Strutynska, I., Kinash, I., & Pietukhova, O. (2021). Building an effective model of intelligent entrepreneurship development in the digital economy. Eastern-European Journal of Enterprise Technologies, 6(13 114), 49-59. https://doi.org/10.15587/1729-4061.2021.244916

[13] Prelec, D., Seung, H.S., & McCoy, J.A (2017). Solution to the single-question crowd wisdom problem. Nature. 541(7638), 532-537. https://doi.org/10.1038/nature21054

[14] Rastogi, C., Zhang, Y., Wei, D., Varshney, K. R., Dhurandhar, A., &Tomsett, R. (2022). Deciding fast and slow: The role of cognitive biases in AI-assisted decision-making. Proceedings of the ACM on Human-Computer Interaction, 6, 1-22. https://doi.org/10.1145/3512930

[15] Riedl, C., Kim, Y., Gupta, P., Malone, T., & Woolley, A. (2021). Quantifying collective intelligence in human groups. National Academy of Sciences of the United States of America. 118(21): e2005737118. https://doi.org/10.1073/pnas.2005737118

[16] Rimawi, D., Liotta, A., Todescato, M., & Russo, B. (2024). ModeLing ResiLience of CoLLaborative AI Systems // In Proceedings of the IEEE/ACM 3rd InternationaL Conference on AI Engineering-Software Engineering for AI, 24-29.

[17] Rosenberg, L. (2025). Collective Superintelligence: Enabling Real-Time Conversational Deliberations among Humans and AI Agents at Unprecedented Scale. https//doi.org/10.5772/intechopen.1010201. In book: Foundations and Frontiers in Decision Science. IntechOpen. URL: https://www.researchgate.net/publication/392520919_

[18] Schemmer, M., Hemmer, P., Kühl, N., Benz, C., & Satzger, G. (2022). Should I follow AI-based advice? Measuring appropriate reliance in human-AI decision-making. ArXiv preprint arXiv:2204.06916. https://doi.org/10.48550/arXiv.2204.06916

[19] Schut, M.C. (2010). On model design for simulation of collective intelligence. Information Sciences, 180(1), 132-155. https://doi.org/10.1016/j.ins.2009.08.006

[20] Szuba, T.A. (2001). Formal definition of the phenomenon of collective intelligence and its IQ measure. Future Generation Computer Systems. 17(4), 489-500. https://doi.org/10.1007/bfb0097897

[21] Weng, S.S., Yang, M.H., & Hsiao, P.I. (2018). A factor-identifying study of the user-perceived value of collective intelligence based on online social networks. Internet Research, 28(3), 696-715. https://doi.org/10.1108/intr-03-2017-0103

[22] Willcox, G., Rosenberg, L., & Schumann, H. (2023). Validating a New Collective Intelligence Technology for Accurate Ranking Using Artificial Swarm Intelligence. In: Proceedings of the Future Technologies Conference. Cham: Springer Nature Switzerland, 290-304.

[23] Wolpert, D. H. (2003). Theory of Collective Intelligence Moffet Field, CA: NASA Ames Research Center, 64 p. https://doi.org/10.1007/978-1-4419-8909-3_2 43-106

[24] Woolley, A. W, Aggarwal, I., & Malone, T.W. (2015). Collective intelligence and group performance. Current Directions in Psychological Science, 24(6), 420-424. https://doi.org/10.1177/0963721415599543

[25] Wu, W., Zheng, Z., Wang, H., Tang, Sh., & Wang, T. (2024). Development Strategy of Collective Intelligence and Its Industrial Clusters. Strategic Study of CAE, 26(1), 89-100. https://doi.org/10.15302/J-SSCAE-2024.01.008