Artificial Intelligence In Marketing

dc.contributor.authorSadok ,Achour
dc.contributor.authorAyadi ,Salah
dc.date.accessioned2025-05-04T08:49:28Z
dc.date.available2025-05-04T08:49:28Z
dc.date.issued2025-04-17
dc.description.abstractThis research examines the transformative role of artificial intelligence (AI) in marketing, addressing its potential to enhance organizational efficiency, boost customer engagement, and improve business outcomes. The study aims to explore innovative AI applications, such as big data analytics and deep learning, to enable precise decision-making and personalized marketing campaigns. The findings reveal that AI significantly improves campaign personalization and customer satisfaction, leading to increased sales and loyalty. However, challenges such as skill gaps, privacy concerns, and organizational resistance persist. The study recommends enhancing technical training and implementing ethical strategies to overcome these barriers and ensure sustainable success in digital markets.
dc.identifier.citationSadok ,Achour. Ayadi ,Salah. Artificial Intelligence In Marketing. Journal of business and finance economy. Vol. 10. N. 01. 17 april 2025. faculty of economie commercial and management sciences. university of el oued .
dc.identifier.issn2543-3660
dc.identifier.urihttps://dspace.univ-eloued.dz/handle/123456789/37888
dc.language.isoen
dc.publisherجامعة الوادي University of Eloued
dc.subjectArtificial Intelligence
dc.subjectMarketing
dc.subjectBusiness
dc.subjectStrategic Tools
dc.subjectCustomer Engagement
dc.subjectInnovation
dc.titleArtificial Intelligence In Marketing
dc.title.alternativeArtificial Intelligence in Marketing: A Strategic Tool for Enhancing Business Growth
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
artificial-intelligence-in-marketing_-a-strategic-tool-for-enhancing-business-growth.pdf
Size:
449.35 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections