A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda
Tekijät: Mustak Mekhail, Salminen Joni, Plé Loïc, Wirtz Jochen
Kustantaja: Elsevier Inc.
Julkaisuvuosi: 2021
Journal: Journal of Business Research
Tietokannassa oleva lehden nimi: Journal of Business Research
Vuosikerta: 124
Aloitussivu: 389
Lopetussivu: 404
ISSN: 0148-2963
eISSN: 1873-7978
DOI: https://doi.org/10.1016/j.jbusres.2020.10.044
The rapid advancement of artificial intelligence (AI) offers exciting opportunities for marketing practice and academic research. In this study, through the application of natural language processing, machine learning, and statistical algorithms, we examine extant literature in terms of its dominant topics, diversity, evolution over time, and dynamics to map the existing knowledge base. Ten salient research themes emerge: (1) understanding consumer sentiments, (2) industrial opportunities of AI, (3) analyzing customer satisfaction, (4) electronic word-of-mouth–based insights, (5) improving market performance, (6) using AI for brand management, (7) measuring and enhancing customer loyalty and trust, (8) AI and novel services, (9) using AI to improve customer relationships, and (10) AI and strategic marketing. The scientometric analyses reveal key concepts, keyword co-occurrences, authorship networks, top research themes, landmark publications, and the evolution of the research field over time. With the insights as a foundation, this article closes with a proposed agenda for further research.