INTEGRATING ARTIFICIAL INTELLIGENCE INTO THE MANAGEMENT DECISION-MAKING PROCESS IN THE NEW ERA OF INDUSTRY 4.0
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | INTEGRATING ARTIFICIAL INTELLIGENCE INTO THE MANAGEMENT DECISION-MAKING PROCESS IN THE NEW ERA OF INDUSTRY 4.0 |
| 2. | Creator | Author's name, affiliation, country | Svetlana Dimitrakieva; Department of Industrial Management, Technical University of Varna; Bulgaria |
| 2. | Creator | Author's name, affiliation, country | Marina Marinova-Stoyanova; Department of Industrial Management, Technical University of Varna; Bulgaria |
| 2. | Creator | Author's name, affiliation, country | Boris Gramchev; Department of Industrial Management, Technical University of Varna; Bulgaria |
| 3. | Subject | Discipline(s) | |
| 3. | Subject | Keyword(s) | Artificial Intelligence (AI), Decision-Making, Industry 4.0, Management |
| 4. | Description | Abstract | The integration of AI into management decision-making is transforming businesses in the era of Industry 4.0, driven by technologies like IoT, big data, and cloud computing. This study aims to explore the role of AI in enhancing operational efficiency, reducing costs, and fostering innovation in management practices. The working method involves a review of current literature to assess AI's capabilities, benefits, and associated challenges. AI supports faster, data-driven decisions, improving operational performance and allowing for more strategic, creative work. It aids in risk management, supply chain optimization, and identifying market opportunities. However, AI integration presents challenges, such as implementation complexity, expertise needs, data privacy concerns, and the potential impact on jobs. Ethical issues, including accountability and transparency, are crucial for maintaining trust. Despite these challenges, the study concludes that AI's role in reshaping decision-making offers significant potential for businesses to gain a competitive edge and adapt to changing market dynamics.
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| 5. | Publisher | Organizing agency, location | |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 30.04.2025 |
| 8. | Type | Status & genre | Peer-reviewed Paper |
| 8. | Type | Type | |
| 9. | Format | File format | |
| 10. | Identifier | Universal Resource Indicator | https://conferences.rta.lv/index.php/ETR/ETR2025/paper/view/7069 |
| 11. | Source | Journal/conference title; vol., no. (year) | ENVIRONMENT. TECHNOLOGY. RESOURCES; Environment. Technology. Resources. 16th International Scientific and Practical Conference |
| 12. | Language | English=en | en |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 15. | Rights | Copyright and permissions | Authors who submit to this conference agree to the following terms: a) Authors retain copyright over their work, while allowing the conference to place this unpublished work under a Creative Commons Attribution License, which allows others to freely access, use, and share the work, with an acknowledgement of the work's authorship and its initial presentation at this conference. b) Authors are able to waive the terms of the CC license and enter into separate, additional contractual arrangements for the non-exclusive distribution and subsequent publication of this work (e.g., publish a revised version in a journal, post it to an institutional repository or publish it in a book), with an acknowledgement of its initial presentation at this conference. c) In addition, authors are encouraged to post and share their work online (e.g., in institutional repositories or on their website) at any point before and after the conference. |