The application of artificial intelligence technologies in management
Abstract
The digital transformation of our world and the inevitable interplay between people, digital technologies, and physical assets are creating a rapidly changing and complex environment that requires organizations to be more agile and ready to embrace new ways of working. Businesses are realizing the need for change to succeed in the digital age. In the period of global digitalization, information and communication technologies are one of the most important aspects of existence for a business, which makes it more efficient and effective and allows you to quickly respond to a rapidly changing external environment, as well as customer needs. At the moment, there is a high interest in the possibilities of artificial intelligence for use in business tasks in the world, as there are already examples of successful implementation when artificial intelligence and machine learning are fundamentally changing the way people work and increasing the profits of organizations in different countries. The purpose of this case study is to consider how artificial intelligence affects the value proposition and how elements of the business model change when using this technology. The paper presents the existing examples of the use of technology, the consequences of its application and the prospects for using artificial intelligence as one of the advanced digital transformation technologies. With a literature review and case studies analysis, the article aims to provide a comprehensive understanding of the impact of AI on business models, drawing from both theoretical insights and practical experiences documented in case studies. This approach allows for a nuanced exploration of the topic and contributes to advancing knowledge in the field.
Issue date (year)
2024Author
Čyras, GiedriusCitation
Čyras, G., & Janušauskienė, V. M. (2024). The application of artificial intelligence technologies in management. In New Trends in Contemporary Economics, Business and Management. Selected Proceedings of the 14th International Scientific Conference “Business and Management 2024”, pp. 261–269. https://doi.org/10.3846/bm.2024.1183The following license files are associated with this item: