DEVELOPMENT OF ORGANIZATIONAL BEHAVIOR MANAGEMENT SYSTEMS IN THE IMPLEMENTATION OF ANTHROPOMORPHIC AI AGENTS IN ENTERPRISES
DOI:
https://doi.org/10.70301/SBS.MONO.2026.1.5Keywords:
Organizational behavior, psychology management, social anthropology, artificial intelligence, anthropomorphic AI agents.Abstract
This paper examines the impact of artificial intelligence on organizational behavior. Recent research highlights both significant benefits and hidden risks of implementing AI agents for corporate culture and employee psychological safety. This paper conducts a qualitative study through interviews with 16 top managers from leading industries regarding the effectiveness and sustainability of AI tools implemented in their workplaces. The study aims to identify adaptive mechanisms for interaction with anthropomorphic AI and analyze employee satisfaction. The paper examines the quality of work life and the socio-psychological climate within the team after the implementation of anthropomorphic AI tools, as well as their impact on the company's economic performance. Issues of employee isolation and loneliness, a possible decrease in overall team cohesion and team behavior, and the impact of such technology on an organization's unique cultural characteristics are explored. The goal is to understand how AI agents could influence individual behavior and employee perceptions. Do employees experience technostress, is their decision-making power expanded, or is algorithmic constraints imposed on them? The work also explores how organizational culture was reformed and how the organization's development strategy was implemented through the creation of an effective motivational mechanism to ensure employee development, trust, loyalty, and creativity, as well as the organization's operational and development effectiveness following these key decisions. The paper places particular emphasis on individual and post-AI-agent variables and their impact on organizational behavior as an integral part of strategic management and industry leadership.
References
Aganova, A.V. and Kathry,I.V. (2025). Sociological Journal. Vol. 31. No. 1. P. 92–109. Doi: 10.19181/socjour.2025.31.1.5.
Aranzabal, A., Epelde, E., and Artetxe, M. (2022). Team formation on the basis of Belbin’s roles to enhance students’ performance in project-based learning. Education for Chemical Engineers. Volume 38, Pages 22-37, ISSN: 1749-7728. https://doi.org/10.1016/j.ece.2021.09.001. https://www.sciencedirect.com/science/article/pii/S1749772821000452.
Axiom Group. (2026). Profile AI: The Future of DISC Has Arrived. https://www.discusonline.com/en-us/features/disc-profile-ai-interpretation.php.
Barsanti, E. (2025). DiSC and AI Technology. https://www.discprofile.com/blog/personal-career-development/disc-and-ai.
Black, S.J. (2025). Organizational Behavior. OpenStax. ©Rice University. ISBN: 978-1-947172-71-5. https://openstax.org/details/books/organizational-behaviors.
Crystal.com. (2026). The Personality Insights Platform. Understanding DISC Personality Types. https://www.crystalknows.com/why-crystal/features.
Epley, N., Waytz, A., & Cacioppo, J. T. (2007). On Seeing Human: A three-factor theory of anthropomorphism. Psychological Review, 114, 864-886. http://dx.doi.org/10.1037/0033-295X.114.4.864.
Fairlie, M. & Brooks, C. (2025). Crystal Knows All: You’re Being Profiled. https://www.business.com/articles/crystal-knows-all-youre-being-profiled/.
Flores Ureba, S., Simón de Blas, C., Borrás-Gené, O., & Macías-Guillén, A. (2022). Analyzing the Influence of Belbin’s Roles on the Quality of Collaborative Learning for the Study of Business Fundamentals. Education Sciences, 12(9), 594. https://doi.org/10.3390/educsci12090594.
Gironacci, I.M. (2025). Literature Review of AI Agents for Enterprise Teams. Agilent Technologies, Germany. DOI: 10.4018/979-8-3373-2419-7.ch001. https://www.igi-global.com/chapter/literature-review-of-ai-agents-for-enterprise-teams/391789.
Head, K.R. (2025). Minds in Crisis: How the AI Revolution is Impacting Mental Health. Journal of Mental Health & Clinical Psychology, Journal of Mental Health & Clinical Psychology. 9(3), 34–44. DOI: 10.29245/2578-2959/2025/3.1352.
Hoffman, J., Wenke, R., Angus, R.L., Shinners, L., Richards, B., & Hattingh, L. (2025). Overcoming barriers and enabling artificial intelligence adoption in allied health clinical practice: A qualitative study. Sagepub Journal. Digit Health: 3;11:20552076241311144. doi: 10.1177/20552076241311144. PMID: 39906878; PMCID: PMC11792011.
Humantic AI Guide. (2025). The Ultimate Guide to Cold Calling Success. Learn how to connect, convert, and close more deals by catering to your buyer's preferences using Personality AI. https://humantic.ai.
Jeffs, S. P., McFadzean, J. K., Xavier, P., & Evans, B. J. (2026). Perceived Belbin team roles of first year university students studying aerospace engineering: a multi-year study. Journal of Further and Higher Education, 1–17. https://doi.org/10.1080/0309877X.2026.2625371.
Jung, C. (1924). 1. Psychological Types ISBN 5-88230-042-8. ISBN 5-237-00313-3. 3. Psychological Types. — Academic Project, 2019. 538 pp. ISBN 978-5-8291-2178-5.
Kim, B.J. & Lee, J. (2025). AI adoption, employee depression and knowledge: How corporate social responsibility buffers psychological impact. https://doi.org/10.1016/j.jik.2025.100815. https://www.elsevier.es/en-revista-journal-innovation-knowledge-376-articulo-ai-adoption-employee-depression-knowledge-S2444569X2500160X.
Kretinina, A.A. (2025). Postgraduate, Laboratory of Social and Economic Psychology. Institute of Psychology of Russian Academy of Sciences. https://cyberleninka.ru/article/n/yazykovye-modeli-kak-aktory-sotsialnyh-vzaimodeystviy-s-pozitsii-teorii-sotsialnoy-atributsii/viewer.
Latour, B. (2014). Reassembling the Social: Introduction to Actor-Network Theory. Translated from English by I. Polonskaya; edited by S. Gavrilenko. Moscow: Publishing House of the Higher School of Economics, 384 p.
Lee et al. (2025). Confidence Effects from a Survey of Knowledge Workers. In CHI Conference on Human Factors in Computing Systems, Microsoft. Yokohama, Japan. ACM, New York, NY, USA. 23 pages. https://doi.org/10.1145/3706598.3713778 https://www.microsoft.com/en-us/research/wp-content/uploads/2025/01/lee_2025_ai_critical_thinking_survey.pdf.
Li, J. Zhu, F. and Hua, P. (2025). Overcoming the Organizational Barriers to AI Adoption. Harward Business Review Journal. https://hbr.org/2025/11/overcoming-the-organizational-barriers-to-ai-adoption.
Litan, D.E. (2025). Mental health in the “era” of artificial intelligence: technostress and the perceived impact on anxiety and depressive disorders—an SEM analysis. Frontiers in Psychology Journal. ISSN:1600013. https://doi:10.3389/fpsyg.2025.1600013.
Marston, W.M. (1928). Emotions of Normal People. ISBN 0415-21076-3. Physiological Psychology: 10 Volumes ISBN 0415-21131-X.
Martinoli, A. (2026). Artificial Empathy: How AI is Changing Human Connections and Modern Society. https://vreme.com/ru/drustvo/vestacka-inteligencija-empatija-drustvo-veze/
McGarvie, S. (2026). How Belbin Team Roles Enhance Collaboration in the Workplace. Psychology Practitioner Community. https://positivepsychology.com/belbin-team-roles/.
Miklyaeva, A.V. (2024). Digital Society and Digital Socialization: Prospects for Social-Psychological Research. Social Psychology and Society. No. 2. pp. 5–11.
Mkrtychyan, G.A. (2014.). Organizational behavior: textbook / G.A. Mkrtichyan, O.V. Petrova. Nizhny Novgorod: UNN Publishing House, 201 p. ISBN 978-5-91326-320-9.
Munsell, A. H. (1905). A Color Notation. Boston: G. H. Ellis Co. ISBN-13 978-3752436549.
Nass, C., Steuer, J. & Ellen Siminoff, E. (1994). Computer are social actors. Conference: Conference on Human Factors in Computing Systems, CHI 1994, Boston, Massachusetts, USA, Conference Companion. DOI: 10.1145/259963.260288.
Nass, C., Steuer, J., Tauber, E.R. (1994). Computers are social actors. Human Factors in Computing Systems. P. 72–78.
Ozhegov, S. I., & Shvedova, N. Y. (2006). Explanatory dictionary of the Russian language. 4th ed.. ITI Technologies.
Qu et al. (2025). A Comprehensive Review of AI Agents: Transforming Possibilities in Technology and Beyond. Cornell University. https://arxiv.org/html/2508.11957v1.
QualСoder. (2026). QualCoder 3.8.2 Release. https:/cqualcoder.wordpress.com/.
Reshaping Work Research Institution. (2025). Psychological gap between management and employees can cause AI implementation to fail. https://medium.com/@reshaping_work/psychological-gap-between-management-and-employees-can-cause-ai-implementation-to-fail-1224f486811d.
Robbins, S.P. and Judge, T.A. (2019). Organizational Behavior. 18th edition. ISBN 978-0-13-472932-9. Published by Pearson Education ©.
Romanovich, N.A. (2024). Neural Networks in the Eyes of Public Opinion: Fears and Opportunities. Artificial intelligence: interdisciplinary analysis. https://doi.org/10.24412/2414-9241-2024-10-111-119.
Rowan, J., Ammanath, B., Mittal, N. and Perricos, C. (2026). State of AIbin the Enterprise. The untapped edge. © Deloitte Development LLC. https://www.deloitte.com/us/en/what-we-do/capabilities/applied-artificial-intelligence/content/state-of-ai-in-the-enterprise.html.
Russian Academy of Arts. (2008). Anthropomorphism. Glossary of terms. Retrieved April 3, 2026, from https://rah.ru/science/glossary/detail.php?ID=21286.
Schroeder, J., & Epley, N. (2016). Mistaking minds and machines: How speech affects dehumanization and anthropomorphism. Journal of Experimental Psychology: General, 145, 1427-1437. http://dx.doi.org/10.1037/xge0000214.
Sen, R., Blumenfeld, I.G., Kosar, J. and Gürdeniz, E. (2025). PwC’s Responsible AI survey: From policy to practice. https://www.pwc.com/us/en/tech-effect/ai-analytics/responsible-ai-survey.html.
Shaderkina, V.A., Shaderkina, A.I., Petrushin, A.A. (2023). Anthropomorphic robots in medicine: technology options and prospects. Russian Journal of Telemedicine and Electronic Healthcare. https://doi.org/10.29188/2712-9217-2023-9-1-49-59
Team Humantic AI. (2023). How to Understand Someone’s Buying Style Through Their DISC Type. https://humantic.ai/blog/how-to-understand-someones-buying-style-through-their-disc-type/.
Team Humantic AI. (2025). Empathy Mapping: Upgraded And Engineered for Enterprise Sales. https://humantic.ai.
Valtonen, A., Saunila, M., Ukko, J., Treves, L. and Ritala, P. (2025). AI and employee wellbeing in the workplace: An empirical study. Journal of Business Research. Volume 199. ISSN: 115584. https://doi.org/10.1016/j.jbusres.2025.115584.
Verhaeghe, P. (2025). Artificial intelligence requires ethical principles in organizations. Https://www.nextconomy.be/2024/05/ai-vraagt-om-een-ethisch-kader-in-organisaties/.
Viswanathasarma, Ch., Pant, K., Dixit, A.K., Thomas, L., Joshi, K. and Beri, N. (2023). Predicting Employee Mental Health Using Artificial. Neural Network 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). DOI: 10.1109/ICACITE57410.2023.10183130.
Volkova, A. D., Kostina T. A., Noak N. V. (2024). Anthropomorphism and AI: An Experimental Study. Digital Economic Journal. http://digital-economy.ru/images/easyblog_articles/1218/DE-2024-03-04.pdf.
West, J., Riemer, K. and Peter, S. (2025). Evidence Shows AI Systems Are Already Too Much Like Humans. Will That Be a Problem? Singularity Hub. https://singularityhub.com/2025/05/26/evidence-shows-ai-systems-are-already-too-much-like-humans-will-that-be-a-problem/.
Yee et al. (2025). Agents, robots, and us: Skill partnerships in the age of AI. McKinsey Global Institute, Copyright ©. McKinsey & Company. https://www.mckinsey.com/~/media/mckinsey/mckinsey global institute/our research/agents robots and us skill partnerships in the age of ai/agents-robots-and-us-skill-partnerships-in-the-age-of-ai.pdf.
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