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An analysis on leadership and decision making errors in the new artificial intelligence influenced organizational environment

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Warianty tytułu
PL
Analiza błędów w przywództwie i podejmowaniu decyzji w nowym środowisku organizacyjnym pod wpływem sztucznej inteligencji
Języki publikacji
EN
Abstrakty
EN
The integration of Artificial Intelligence (AI) is rapidly changing how leadership and decision-making work in organizations today. AI's emergence has created a need to rethink traditional ways of leading. Leaders now face the challenge of incorporating AI tools into their decision-making, which affects corporate strategies and how well they operate. However, while this combination of leadership and AI calls for adaptive strategies, it also raises worries about possible decision-making mistakes. To handle these challenges well, organizations should develop a strong understanding of how leadership styles affect decision-making when faced with the pressures of AI. To understand this relationship, our study considered key aspects like organizational climate and emotional intelligence, which are vital for long-term change.
PL
Integracja sztucznej inteligencji (AI) szybko zmienia sposób sprawowania przywództwa i podejmowania decyzji w dzisiejszych organizacjach. Pojawienie się AI spowodowało konieczność ponownego przemyślenia tradycyjnych sposobów kierowania. Liderzy stoją obecnie przed wyzwaniem włączenia narzędzi AI do procesu podejmowania decyzji, co ma wpływ na strategie korporacyjne i skuteczność działania. Jednak połączenie przywództwa i AI wymaga strategii adaptacyjnych, a jednocześnie budzi obawy dotyczące możliwych błędów w podejmowaniu decyzji. Aby dobrze sprostać tym wyzwaniom, organizacje powinny dogłębnie zrozumieć, w jaki sposób style przywództwa wpływają na procesy decyzyjne w obliczu presji wywieranej przez AI. Aby zrozumieć tę zależność, w naszym badaniu uwzględniliśmy kluczowe aspekty, takie jak klimat organizacyjny i inteligencja emocjonalna, które mają kluczowe znaczenie dla długoterminowych zmian.
Rocznik
Strony
123--137
Opis fizyczny
Bibliogr. 31 poz., tab.
Twórcy
  • National Research and Development Institute for Occupational Safety and Health ”Alexandru Darabont”; 35A Ghencea Blvd., sector 6, Bucharest, Romania
  • Babes Bolyai University from Cluj, Cluj-Napoca, Romania
  • National Research and Development Institute for Occupational Safety and Health ”Alexandru Darabont”; 35A Ghencea Blvd., sector 6, Bucharest, Romania
  • Kautz Gyula Faculty of Business and Economics, Széchenyi István University, Gyor, Hungary
  • Military Technical Academy „Ferdinand I”
Bibliografia
  • 1.Ahmed Imran, H., Muhammad Irfan, C., Sher, A., Muhammad, A. and Kashif-Ur, R., (2010). Factors Affecting job satisfaction of employees in Pakistani banking sector.
  • 2.Al Kuwaiti, A., Nazer, K., Al-Reedy, A., Al-Shehri, S., Al-Muhanna, A., Subbarayalu, A. V., ... and Al-Muhanna, F. A. (2023). A review of the role of artificial intelligence in healthcare. Journal of personalized medicine, 13(6), 951.
  • 3.Budhwar, P., Chowdhury, S., Wood, G., Aguinis, H., Bamber, G. J., Beltran, J. R., Boselie, P., Lee Cooke, F., Decker, S., DeNisi, A., Dey, P. K., Guest, D., Knoblich, A. J., Malik, A., Paauwe, J., Papagiannidis, S., Patel, C., Pereira, V., Ren, S., Rogelberg, S., Saunders, M. N. K., Tung, R. L., … Varma, A., (2023). Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT, Human Resource Management Journal, 33(3), 606-659.
  • 4.Chan, C. K. Y., (2023). A comprehensive AI policy education framework for university teaching and learning. International journal of educational technology in higher education, 20(1), 38.
  • 5.Cheong, H. S., Park, K. H., Kim, H. B., Kim, S. W., Kim, B., Moon, C., ... and Korean Society of Infectious Diseases., (2022). Core elements for implementing antimicrobial stewardship programs in Korean general hospitals. Infection & Chemotherapy, 54(4), 637.
  • 6.Deters, J. (2022). Analytics and intuition in the process of selecting talent: A holistic approach (p. 581).
  • 7.De Gruyter. Dewey, M., & Wilkens, U. (2019). The Bionic Radiologist: avoiding blurry pictures and providing greater insights. NPJ Digital Medicine, 2(1), 65.
  • 8.Döring, M., Mikkelsen, K. S., Madsen, J. K. and Haug, K. B. (2024). Creating a workforce of fatigued cynics? A randomized controlled trial of implementing an algorithmic decision-making support tool. Government Information Quarterly, 41(1), 101911.
  • 9.Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... and Wright, R. (2023). Opinion Paper:“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International journal of information management, 71, 102642.
  • 10. El Khatib, M., Kherbash, A., Al Qassimi, A. and Al Mheiri, K. (2022). How can collaborative work and collaborative systems drive operational excellence in project management?. Journal of Service Science and Management, 15(3), 297-307.
  • 11.Frank, J. W., (2002). Transformational leadership and moral discourse in the workplace and civil society. University of North Florida.
  • 12.Ghobakhloo, M., Iranmanesh, M., Mubarak, M. F., Mubarik, M., Rejeb, A. and Nilashi, M., (2022). Identifying industry 5.0 contributions to sustainable development: A strategy roadmap for delivering sustainability values. Sustainable Production and Consumption, 33, 716-737.
  • 13.Hübsch, T., Vogel-Adham, E., Vogt, A. and Wilhelm-Weidner, A., (2024). Articulating tomorrow: Large language models in the service of professional training. A contribution by the Digitalbegleitung (technological monitoring and research) within the framework of the German funding program" Innovationswettbewerb INVITE". Berlin: VDI/VDE Innovation+ Technik GmbH.
  • 14.Jelinek, T., Bhave, A., Buchoud, N., Bühler, M. M., Glauner, P., Inderwildi, O., ... and Voss, A., (2024). International collaboration: Mainstreaming artificial intelligence and cyberphysical systems for carbon neutrality. IEEE Transactions on Industrial Cyber-Physical Systems, 2, 26-34.
  • 15.Jia, X. H., & Tu, J. C. (2024). Towards a new conceptual model of AI-enhanced learning for college students: The roles of artificial intelligence capabilities, general self-efficacy, learning motivation, and critical thinking awareness. Systems, 12(3), 74.
  • 16.Juma, A., Nazik, S., (2025). Risk Management and Patient Safety; The National Safety and Quality Health Service (NSQHS) Standards, Global Journal of Health Sciences, 10(1), 72-82.
  • 17.Kapahi, K., (2025), Leadership Management, Organizational Behavior, and Organizational Success. International Journal for Research in Applied Science and Engineering Technology.
  • 18.Katiforis, S., (2024). Synchronized Coevolution: A Conceptual Framework For Sustaining a Human-Centered Security Culture in AI-Driven Environments.
  • 19.Lameijer, B. A., Pereira, W. and Antony, J. (2021). The implementation of Lean Six Sigma for operational excellence in digital emerging technology companies. Journal of manufacturing technology management, 32(9), 260-284.
  • 20.Lesniak, A., Surma, T., Szczepanska-Woszczyna, K. and Zamasz, K., (2023). The Recent Development of High-Efficiency Cogeneration Units in Poland. Forum Scientiae Oeconomia, 11(4), 123-143.
  • 21.Mohammad, S. P., (2019). A Systemic Study of Learners' Knowledge Sharing and Collaborative Skills Development: A Case Study in a British Business School (Doctoral dissertation, University of Hull).
  • 22.Mourtzis, D., Angelopoulos, J. and Panopoulos, N., (2022). A Literature Review of the Challenges and Opportunities of the Transition from Industry 4.0 to Society 5.0. Energies, 15(17), 6276.
  • 23.Ooi, K. B., Tan, G. W. H., Al-Emran, M., Al-Sharafi, M. A., Capatina, A., Chakraborty, A., ... and Wong, L. W., (2025). The potential of generative artificial intelligence across disciplines: Perspectives and future directions. Journal of Computer Information Systems, 65(1), 76-107.
  • 24.Parker, S. K., Grote, G., (2022). Automation, algorithms, and beyond: Why work design matters more than ever in a digital world. Applied psychology, 71(4), 1171-1204.
  • 25.Patel, V., Chesmore, A., Legner, C. M. and Pandey, S., (2022). Trends in workplace wearable technologies and connected‐worker solutions for next‐generation occupational safety, health, and productivity. Advanced Intelligent Systems, 4(1), 2100099.
  • 26.Pesqueira, A., de Bem Machado, A., Bolog, S., Pereira, R. and Sousa, M. J., (2024). Exploring the impact of EU tendering operations on future AI governance and standards in pharmaceuticals. Computers & Industrial Engineering, 198, 110655.
  • 27.Radu, C., (2023). Fostering a positive workplace culture: Impacts on performance and agility. In Human resource management-an update. IntechOpen.
  • 28.Saha, P., Talapatra, S., Belal, H. M. and Jackson, V., (2022). Unleashing the potential of the TQM and industry 4.0 to achieve sustainability performance in the context of a developing country. Global Journal of Flexible Systems Management, 23(4), 495-513.
  • 29.Szczepańska-Woszczyna, K., Gatnar, S. (2022). Key competences of research and development project managers in high technology sector. Forum Scientiae Oeconomia, 10(3), 107-130.
  • 30.Turikov, R., (2024). Enhancing Managerial Efficiency in Civil Aviation by Implementing AI Technologies.
  • 31.Wang, Y., Su, Z., Zhang, N., Xing, R., Liu, D., Luan, T. H. and Shen, X. (2022). A survey on metaverse: Fundamentals, security, and privacy. IEEE communications surveys & tutorials, 25(1), 319-352.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d457979a-3f68-4ace-88fe-6615052eaaab
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