About the Journal
About the Journal
Editorial Board
Scientific Council
Reviewers
Ethical Code
Special Issue
GDRP - information on the processing of personal data
Terms of the journal
Indexing
Licenses & Access
Archive
For Authors
Publishing Policy
Technical instruction for the authors
Agreement CC BY-SA
Copyright statement
Publication procedure
Contact
About the Journal
About the Journal
Editorial Board
Scientific Council
Reviewers
Ethical Code
Special Issue
GDRP - information on the processing of personal data
Terms of the journal
Indexing
Licenses & Access
REVIEW PAPER
AI-powered digital transformation – organizational perspective. Literature review
1
Cardinal Stefan Wyszyński University in Warsaw
Socio-Economic Department
2
Rzeszow University of Technology
Management Department
Entrepreneurship and Innovation Management Department
3
Cardinal Stefan Wyszyński University in Warsaw
Socio-Economic Department
Institute of Economics and Finance
Department of Managerial Economics
These authors had equal contribution to this work
Submission date: 2024-04-05
Final revision date: 2024-11-08
Acceptance date: 2024-12-07
Publication date: 2024-12-29
Corresponding author
Piotr Zawada
Cardinal Stefan Wyszyński University in Warsaw Socio-Economic Department Institute of Economics and Finance Department of Managerial Economics
Cardinal Stefan Wyszyński University in Warsaw Socio-Economic Department Institute of Economics and Finance Department of Managerial Economics
JoMS 2024;60(6):429-442
KEYWORDS
AI-powered digital transformationprocess automationprocess optimizationdigital transformationinformation technologyartificial intelligenceorganizational change
TOPICS
ABSTRACT
The integration of new technologies into all areas of a company existence, known as digital transformation, necessitates a fundamental shift in traditional understanding of a business process optimization and human resilience to turbulent socioeconomical and technological environment. Simultaneously, artificial intelligence (AI) emerges as a disruptive force, with immense potential to impact businesses and individuals on an unprecedented scale and at an (exponential) pace. The purpose of paper is to present the theoretical foundations of the concept of AI-powered digital transformation from an organizational perspective (taking ethical aspects also into account). The main research method is a systematic literature review based on the Web of Science (ELSEVIER) database. On the foundation of literature review, the core pillars of AI-Powered digital transformation are presented as a contribution to further theoretical and empirical research.
License
REFERENCES (27)
1.
Bini, S. A. (2018). Artificial intelligence, machine learning, deep learning, and cognitive computing:what do these terms mean and how will they impact health care?, p. 2358-2361. The Journal of Arthroplasty.
2.
Candelon, F. Reeves M. (2022). The Rise of AI-powered Companies. Walter de Gruyter GmbH & Co KG.
3.
Chesbrough, H. (2007). Why companies should have open business models, p.22. MIT Sloan Management Review.
4.
Dibbern, J. Hirschheim, R. (2020). Introduction: Riding the waves of outsourcing change in the era of digital transformation. Information systems outsourcing: The era of digital transformation, p. 1-20.
5.
Dumas, M. La Rosa, M. Mendling, J. Reijers, H.A. (2018). Fundamentals of Business Process Management Springer.
6.
Dumas, M., La Rosa, M. Mendling, J. Reijers, H.A. (2018). Fundamentals of Business Process.
7.
Gołąb-Andrzejak, E. (2023). AI-powered Digital Transformation: Tools, Benefits and Challenges for Marketers–Case Study of LPP, p. 397-404. Procedia Computer Science 219.
8.
Heinze, A. Griffiths, M. Fenton, A. Fletcher, G. (2018). Knowledge exchange partnership leads to digital transformation at Hydro-X Water Treatment, p. 6-13. Ltd. Glob. Bus. Organ. Excell.
9.
Hess, T. Matt, C. Benlian, A. Wiesböck, F. (2020). Options for formulating a digital transformation strategy. In Strategic information management, p. 151-173. Routledge.
10.
IBM. (2011). Digital Transformation: Creating New Business Models Where Digital Meets Physical; IBM: Armonk.
12.
Kaur, C. (2020). The cloud computing and internet of things (IoT). International Journal of Scientific Research in Science, p. 19-22. Engineering and Technology.
13.
Lee, J. W. Oh, S. J. (2020). Analysis of success cases of Insure Tech and Digital Insurance Platform based on artificial intelligence technologies: Focused on Ping an Insurance Group Ltd. in China, p. 71–90. Korea Intell. Inf. Syst. Soc.
14.
Mahmood, F., Khan, A. Z., Khan, M. B. (2019) Digital organizational transformation issues, challenges and impact: A systematic literature review of a decade. Abasyn University Journal of social sciences.
15.
Martínez-Rojas, A. Sánchez-Oliva J. López-Carnicer J. M. Jiménez-Ramírez A. (2021). Airpa: An architecture to support the execution and maintenance of AI-powered RPA robots, p. 38-48. Springer International Publishing.
16.
Masoodifar, M. Arslan, I. K. Nurdan, A. (2023). Artificial intelligence in global business and its communication. Journal of International Trade.
17.
Matt, C. Hess, T. Benlian, A. (2015). Digital transformation strategies. Business & information systems engineering, p. 339-343.
18.
Moreira, Sílvia, H. Mamede, S. Santos, A. (2023). Process automation using RPA–a literature. Review, p. 244-254. Procedia Computer Science 219.
19.
Nguyen, T. H. Nguyen, V. H. Huy, D. T. N. (2021). Transforming the University Management Model in the Concept of Digital Transformation, p. 380-387. Rev. Geintec-Gest. Inov. E Tecnol.
20.
Petrillo, A. De Felice, F. Achim M. V. Mirza, N. (2022). Digital Transformation: Towards New Frontiers and Business Opportunities. BoD–Books on Demand.
21.
Reis, J., Amorim, M., Melão, N., Matos, P. (2018) Digital transformation: a literature review and guidelines for future research. Trends and Advances in Information Systems and Technologies, p. 411-421.
22.
Rogers, D. L. (2016) The digital transformation playbook: Rethink your business for the digital age. Columbia University Press.
23.
Sultan, A. S. Elgharib, M. A. Tavares, T. Jessri, M. Basile, J. R. (2020). The use of artificial.
24.
intelligence, machine learning and deep learning in oncologic histopathology, p. 849–856. Journal of Oral Pathology and Medicine.
25.
Ughulu, J. (2022). The role of Artificial intelligence (AI) in Starting, automating and scaling businesses for Entrepreneurs. ScienceOpen Preprints.
26.
Watson III, Edward, F. Andrew, H. (2023). Enterprise and Business Process Automation, p. 1385-1400. Springer International Publishing.
27.
Grądzki, W. (2023). Współczesne wyzwania społeczeństwa informacyjnego. Journal of Modern Science, 52(3), 458-477. https://doi.org/10.13166/jms/1....
Share
RELATED ARTICLE
| eISSN: | 2391-789X |
| ISSN: | 1734-2031 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
