
This bibliometric study investigates the growing significance of Artificial Intelligence (AI) in digital marketing for consumer electronics (1986-2024). Analyzing 401 articles from Scopus, it explores publication trends, authorship patterns, keyword co-occurrence, and citation networks. The research maps the current landscape, identifies key themes and gaps, and examines how AI shapes digital marketing. Findings reveal a surge in publications in the last five years, with China, the United States, and India as leading contributors. The study identifies 159 authors, 69 countries, and 15 prominent journals. This analysis provides insights for researchers and educators in identifying research areas, developments, and quality literature. The research confirms AI's potential in seven clusters: AI integration, machine learning, consumer behavior, digital transformation, personalization, and customer service, while highlighting the need for responsible AI practices. It also identifies gaps in understanding AI’s long-term impact on consumer behavior and integration challenges. Addressing these limitations enables stakeholders to leverage AI ethically and effectively in digital marketing. Additionally, the study identifies influential authors, their locations, and frequently used keywords, informing a future research agenda focused on key themes, methodologies, and areas of inquiry
artificial intelligence machine learning digital marketing marketing automation consumer electronics personalization
artificial intelligence machine learning digital marketing marketing automation consumer electronics personalization
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
