
doi: 10.35808/ersj/3374
PRACTICAL IMPLICATIONS: The practical application of artificial intelligence in agile management of organizations can significantly contribute to increasing their competitiveness and innovation. Organizations should focus on integrating AI systems that are capable of translating complex issues, automating processes, and providing innovative solutions, which can support the development of employee competencies and improve the quality of intellectual work.
FINDINGS: Research shows that artificial intelligence has a significant impact on decisionmaking processes, streamlining and accelerating employee adaptation to new tasks and improving the quality and efficiency of reports and analyses. Respondents saw the benefits of using AI, such as better understanding of material, faster preparation of reports, and support in creating abbreviations and summaries of long texts.
ORIGINALITY/VALUE: The article makes an important contribution to the literature on agile management, focusing on the role of artificial intelligence. Its originality lies in the combination of theoretical reflections with the results of empirical research, which allows for a better understanding of how modern technologies can affect the future of managing organizations in a dynamically changing environment.
DESIGN/METHODOLOGY/APPROACH: The study is based on an analysis of the literature on the subject and empirical research among students from three Polish universities. It uses a methodology that is at the intersection of qualitative and quantitative research, which allows for a deeper understanding of the impact of AI on organizations.
PURPOSE: The article aims to explore the role that artificial intelligence (AI) plays in agile organizational management. It focuses on how AI can make companies more agile, innovative, and adaptable, allowing them to better respond to rapidly changing market conditions.
peer-reviewed
Artificial intelligence, Organizational effectiveness, Industrial management -- Data processing, Business enterprises -- Data processing, Organizational resilience
Artificial intelligence, Organizational effectiveness, Industrial management -- Data processing, Business enterprises -- Data processing, Organizational resilience
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
