000			01853cam a2200217 4500500
005			20251012024451.0
041			_afre
042			_adc
100	1	0	_aLuong, Lam _eauthor
700	1	0	_a Idir, Brahim _eauthor
245	0	0	_aThe Evolution of Interactive Digital Marketing: A Bibliometric Study of Innovation and Artificial Intelligence
260			_c2025.
500			_a31
520			_aThe quick adaptation of artificial intelligence (AI) into digital marketing has changed the way marketers execute their marketing strategies and interact with consumers. As AI and digital marketing have gained interest from both scholars and practitioners, it is important to understand how AI could enhance the marketing performance, consumers experience and consumer-brand relationships. While the topic about AI and marketing (in general) has been considerably new and this research adapts the bibliometric analysis methodology to analyze data acquired from SCOPUS, using different analysis techniques to visualize the networks of co-authorships, co-occurrence, and keywords to better understand the current picture of AI and Digital marketing research: who are the influential authors in this topic about AI and digital marketing, top cited papers, journals that are most cited, etc. Importantly, the community detection algorithm helps to identify different clusters of topics in the research stream of AI and Marketing. Importantly, with thematic mapping, the study points out the trends and avenue of future research.
690			_aArtificial Intelligence (AI)
690			_aBibliometric Analysis
690			_aDigital Marketing
690			_aInnovation
786	0		_nInnovations | hors-série | HS1 | 2025-10-10 | p. 108-108 | 1267-4982
856	4	1	_uhttps://shs.cairn.info/journal-innovations-2025-HS1-page-108?lang=en&redirect-ssocas=7080
999			_c1544022 _d1544022