dc.contributor.author |
Tat, Angel |
|
dc.contributor.author |
Mocan, Marian |
|
dc.date.accessioned |
2024-10-30T11:40:41Z |
|
dc.date.available |
2024-10-30T11:40:41Z |
|
dc.date.issued |
2024 |
|
dc.identifier.citation |
Tat, Angel; Mocan, Marian.A study on how artificial intelligence can shape the future of management: Editura Politehnica, 2024. Disponibil la: https://doi.org/10.59168/ZASE3590 |
en_US |
dc.identifier.uri |
https://dspace.upt.ro/xmlui/handle/123456789/6843 |
|
dc.identifier.uri |
https://search.crossref.org/search/works?q=10.59168%2FZASE3590&from_ui=yes Link DOI |
|
dc.identifier.uri |
https://mpt.upt.ro/view-articles/ |
|
dc.description.abstract |
The advent of Artificial Intelligence (AI) presents unprecedented opportunities for redefining management practices across various industries. This paper investigates the multifaceted impact of AI on management, with a particular emphasis on its influence on decision-making processes, operational efficiencies, and human resource management. By synthesizing empirical data and theoretical insights, the study elucidates AI's potential to enhance strategic foresight, optimize operational workflows, and personalize employee development. Through a mixed-methods approach, combining case studies with statistical analysis, this research highlights the transformative potential of AI, while also acknowledging the ethical and practical challenges it poses. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Timișoara : Editura Politehnica |
en_US |
dc.relation.ispartofseries |
Transactions on engineering and management;Volume 10, Number 1 & 2 (2024) |
|
dc.subject |
Artificial Intelligence |
en_US |
dc.subject |
Decision-Making |
en_US |
dc.subject |
Operational Efficiency |
en_US |
dc.subject |
Human Resource Management |
en_US |
dc.subject |
Strategic Planning |
en_US |
dc.title |
A study on how artificial intelligence can shape the future of management [articol] |
en_US |
dc.type |
Article |
en_US |