A1 Refereed original research article in a scientific journal

Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda




AuthorsMustak Mekhail, Salminen Joni, Plé Loïc, Wirtz Jochen

PublisherElsevier Inc.

Publication year2021

JournalJournal of Business Research

Journal name in sourceJournal of Business Research

Volume124

First page 389

Last page404

ISSN0148-2963

eISSN1873-7978

DOIhttps://doi.org/10.1016/j.jbusres.2020.10.044(external)


Abstract

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.



Last updated on 2024-26-11 at 14:46