Author
Listed:
- MITRACHE MARIUS
(FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION, UNIVERSITY OF CRAIOVA, ROMANIA)
- SPULBAR LUCIAN
(UNIVERSITY OF CRAIOVA, DOCTORAL SCHOOL OF ECONOMICS SCIENCES EUGENIU CARADA, CRAIOVA, ROMANIA)
Abstract
Within the increasingly dynamic environment of the modern business world, the application of artificial intelligence (AI) is not a reality of the future but the reality of the here and now. This article delves into the transformative role AI assumes as an optimizing force within business start-ups and well-established organizations. The relevance of this study arises out of the need for adaptive measures that connect technology trends with decision-making strategies. As a source of competitive advantage for newcomer organizations, AI technologies like predictive analytics, customer segmentation analysis, and workflow automation create unprecedented advantages in terms of ease of entry into the markets, cost savings, and product or market appropriateness. At the same time, established organizations can make use of AI technology designed to improve organizational operations and foster customer engagement. A dual-path approach would enable the structuring of AI applications into two distinct but intertwined pathways that encompass AI for Entrepreneurial Development and AI for Operational Optimization. Through this approach, the application of technologies like machine learning, natural language processing, and intelligent automation can be strategically leveraged with the purpose of innovation and minimizing risk. Through the examination of practical cases and technology adoption theories, this article proves that the incorporation of AI is more than just an instrument of competitive differentiation, it is one of the base pillars that guarantee success during the age of technology. This might apply whether the company that wants this success is still a start-up or an established organization that wishes to reinvent itself.
Suggested Citation
Mitrache Marius & Spulbar Lucian, 2025.
"Leveraging Ai To Optimize Business Growth And Entrepreneurship,"
Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 225-233, December.
Handle:
RePEc:cbu:jrnlec:y:2025:v:6:p:225-233
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cbu:jrnlec:y:2025:v:6:p:225-233. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ecobici Nicolae (email available below). General contact details of provider: https://edirc.repec.org/data/fetgjro.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.