The application of artificial intelligence technologies in management

Author:

Čyras Giedrius1ORCID,Janušauskienė Vita Marytė1ORCID

Affiliation:

1. The Department of Business Technology and Entrepreneurship, Faculty of Business and Management, Vilnius Gediminas Technical University, Saulėtekio al. 11, 10223, Vilnius, Lithuania

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.

Publisher

Vilnius Gediminas Technical University

Reference52 articles.

1. Abed, A. K., & Anupam, A. (2022). Review of security issues in internet of things and artificial intelligence‐driven solutions. Security and Privacy, 6(3), Article e285. https://doi.org/10.1002/spy2.285

2. Akdim, K., & Casaló, L. V. (2023). Perceived value of AI-based recommendations service: The case of voice assistants. Service Business, 17(1), 81-112. https://doi.org/10.1007/s11628-023-00527-x

3. Allam, S., Nadikattu, A. K. R. (2020). AI economical wearable smart device to alert real time health reports to doctors. International Journal of Creative Research Thoughts (IJCRT), 8(12), 3287-3291. https://www.ijcrt.org/papers/IJCRT2012360.pdf

4. Artificial Intelligence Index. (2022). Measuring trends in Artificial Intelligence [The AI Index Report]. https://aiindex.stanford.edu/ai-index-report-2022/

5. Astuti E., Harsono, I., Uhai, S., Muthmainah, H. N., & Vandika, A. Y. (2024). Application of artificial intelligence technology in customer service in the hospitality industry in Indonesia: A literature review on improving efficiency and user experience. Sciences Du Nord Nature Science and Technology, 1(01), 28-36. https://www.researchgate.net/publication/378102098_Application_of_Artificial_Intelligence_Technology_in_Customer_Service_in_the_Hospitality_Industry_in_Indonesia_A_Literature_Review_on_Improving_Efficiency_and_User_Experience

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