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The use of technologies in different forms management

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: This article aims to investigate the necessity and importance of using technology – artificial intelligence in modern management forms, such as information management, innovation management, project management, knowledge management, quality management, and HR management. Design/methodology/approach: The research method used in the article is an analysis scientific works, which describe the features of various forms of management in organizations. The research procedure included a review of world scientific literature, methodological analysis, identification of consistent connections between the two main structural parts of the researched question, and deductive reasoning. Findings: The article examines the issue of the need to use artificial intelligence in management to increase the organization's effectiveness. The analysis of the characteristics of six modern forms of management in organizations showed how exactly artificial intelligence could improve the activity of the organizational system. The work describes the positive aspects and benefits of using key components of artificial intelligence in the manager's management activities.Research limitations/implications: Our proposals for future research are to conduct research in organizations with different degrees of technological development to identify the dependence on the efficiency of activities and the level of technology provision of organizations. Practical implications: Modern technological development requires every manager to implement technologies in the managed organization. Analysis of the need to use artificial intelligence in various management forms to improve the organization's efficiency is important for managers striving for high financial results in their activities. Social implications: Implementation and use of technologies in organizations ensure their stable development. Developed organizations form a strong economy that provides people with a high standard of living. Originality/value: The study results indicate the importance of studying issues related to implementing and developing technological processes in the organization. The analysis of the characteristics of the forms of management and their connection with the key components of artificial intelligence prove the necessity of its use in management to achieve the organization's financial stability.
Rocznik
Tom
Strony
33--41
Opis fizyczny
Bibliogr. 29 poz.
Twórcy
  • Joint Doctoral School, Department of Applied Social Sciences, Faculty of Organization and Management, Silesian University of Technology
Bibliografia
  • 1. Baker-Brunnbauer, J. (2020). Management perspective of ethics in artificial intelligence.AI and Ethics. https://doi.org/10.1007/s43681-020-00022-3.
  • 2. Bawack, R.E., Fosso Wamba, S., Carillo, K.D.A. (2021). A framework for understanding artificial intelligence research: insights from practice. Journal of Enterprise Information Management, 34(2), 645-678. https://doi.org/10.1108/jeim-07-2020-0284.
  • 3. Birkinshaw, J., Mol, M., Hamel, G. (2005). Management Innovation. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1306981.
  • 4. Bloom, N., Sadun, R., Reenen, J. (2016). Management as a Technology? NBER Working Paper No. 22327.
  • 5. Carvalho, A.V., Enrique, D.V., Chouchenea, Charrua-Santosa, F. (2021). Quality 4.0: An Overview. Procedia Computer Science, 181, 341-346.
  • 6. Dacre, N., Kockum, F. (2022) Artificial intelligence in project management. Association for Project Management, P.28.
  • 7. Dean, J., Bowen, D. (1994). Managing theory and total quality: improving research and practice through theory development. Academy of Management Review 19(3), 392-418.
  • 8. Forester, T. (1985). The Information Technology Revolution. Oxford: Blackwell.
  • 9. Haefner, N., Wincent, J., Parida, V., Gassmann, O. (2021). Artificial intelligence and innovation management: A review, framework, and research agenda✰. Technological Forecasting and Social Change, 162, 120392. https://doi.org/10.1016/j.techfore.2020.120392.
  • 10. Kanade, V. (2022). What Is Artificial Intelligence (AI)? Definition, Types, Goals, Challenges, and Trends in 2022. https://www.spiceworks.com/tech/artificial-intelligence/articles/what-is-ai/.
  • 11. Kaniki, A.M., Kutu Mphahlele, M.E. (2013). Indigenous knowledge for the benefit of all: can knowledge management principles be used effectively? South African Journal of Libraries and Information Science, 68(1). https://doi.org/10.7553/68-1-753.
  • 12. Kuzior, A. (2021). Innovation management as a tool for sustainable development and improving the quality of life of societies. In: K.S. Soliman (ed.), Innovation management and sustainable economic development in the era of global pandemic (pp. 211-216). International Business Information Management Association.
  • 13. Kuzior, A., Kwilinski, A. (2022). Cognitive Technologies and Artificial Intelligence in Social Perception. Management Systems in Production Engineering, 30(2), 109-115. https://doi.org/10.2478/mspe-2022-0014.
  • 14. Kuzior, A., Kettler, K., Rąb, Ł. (2022). Digitalization of Work and Human Resources Processes as a Way to Create a Sustainable and Ethical Organization. Energies, 15(1), 172.
  • 15. Kuzior, A., Kwilinski, A., Tkachenko, V. (2019). Sustainable development of organizations based on the combinatorial model of artificial intelligence. Entrepreneurship and Sustainability Issues, 7(2), 1353-1376.
  • 16. Kuzior, A., Pidorycheva, I., Liashenko, V., Shevtsova, H. Shvets, N. (2022). Assessment of national innovation ecosystems of the EU countries and Ukraine in the interests of their sustainable development. Sustainability, 14(14), 8487.
  • 17. Kuzior, A., Zozuľak, J. (2019). Adaptation of the idea of phronesis in contemporary approach to innovation. Management Systems in Production Engineering, 27(2), 84-87.
  • 18. Kwilinski, A., Kuzior, A. (2020). Cognitive technologies in the management and formation of directions of the priority development of industrial enterprises. Management Systems in Production Engineering, 28(2), 133-138.
  • 19. Liebowitz, J. (2001). Knowledge management and its link to artificial intelligence. Expert Systems with Applications, 20(1), 1-6. https://doi.org/10.1016/s0957-4174(00)00044-0.
  • 20. Łukaszczyk, Z., Kuzior, A. (2021). Komunikacja w zarządzaniu. Dialog czy konfrontacja? Między teorią a praktyką. Gliwice: Wydawnictwo Politechniki Śląskiej.
  • 21. Munns, A., Bjeirmi, B. (1996). The role of project management in achieving project success. International Journal of Project Management, 14(2), 81-87. https://doi.org/10.1016/0263-7863(95)00057-7.
  • 22. Opatha, H.H.D.N.P. (2021). A Simplified Study of Definitions of Human Resource Management. Sri Lankan Journal of Human Resource Management, 11(1), 15. https://doi.org/10.4038/sljhrm.v11i1.5672.
  • 23. Quintas, P., Lefere, P., Jones, G. (1997). Knowledge management: a strategic agenda. Long Range Planning, 30(3), 322-391. https://doi.org/10.1016/s0024-6301(97)00018-6.
  • 24. Rao, R. (1999). Information Management: Scope, Definition, Challenges & Issues. DRTC Workshop on Information Management, P.1-16.
  • 25. Reitz, J.M. (2004). Dictionary for library and information science. Libraries Unlimited.
  • 26. Wiederhold, G. (1992). The roles of artificial intelligence in information systems. Journal of Intelligent Information Systems, 1(1), 35-55. https://doi.org/10.1007/bf01006413.
  • 27. Wolniak, R. (2019). The Level of Maturity of Quality Management Systems in Poland—Results of Empirical Research. Sustainability, 11(15), 4239. https://doi.org/10.3390/su11154239.
  • 28. Yawalkar, V. (2019) A Study of Artificial Intelligence and its role in Human Resource Management. https://www.researchgate.net/publication/331596981_A_Study_of_Artificial_Intelligence_and_its_role_in_Human_Resource_Management.
  • 29. Zhang, C., Lu, Y. (2021). Study on artificial intelligence: The state of the art and future prospects. Journal of Industrial Information Integration, 23, 100224. https://doi.org/10.1016/j.jii.2021.100224.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-73acc2a0-efb8-4ca2-841d-0b4f889fd746
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