TY - JOUR
T1 - The Next ‘Deep’ Thing in X to Z Marketing
T2 - An Artificial Intelligence-Driven Approach
AU - Charles, Vincent
AU - Rana, Nripendra P.
AU - Pappas, Ilias O.
AU - Kamphaug, Morten
AU - Siau, Keng
AU - Engø-Monsen, Kenth
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2023
Y1 - 2023
N2 - The existing body of literature indicates a growing interest in research pertaining to the influence of artificial intelligence (AI) on marketing strategies, processes, and practices. However, further studies are required to fully unravel its complete potential and the implications it holds for practical application. The aim of this special issue on “The Next ‘Deep’ Thing in X to Z Marketing: An Artificial Intelligence-Driven Approach” is to explore the next frontiers and delve into the various facets of AI-driven marketing, shedding light on cutting-edge research and practical insights that can shape the future of the field. It also focuses on novel ways of using AI techniques to derive innovative insights that can streamline marketing processes and make businesses more effective. The papers herein contribute not only to the advancement of knowledge and understanding surrounding the utilisation of AI in marketing but also play a crucial role in establishing a renewed and revitalised research agenda.
AB - The existing body of literature indicates a growing interest in research pertaining to the influence of artificial intelligence (AI) on marketing strategies, processes, and practices. However, further studies are required to fully unravel its complete potential and the implications it holds for practical application. The aim of this special issue on “The Next ‘Deep’ Thing in X to Z Marketing: An Artificial Intelligence-Driven Approach” is to explore the next frontiers and delve into the various facets of AI-driven marketing, shedding light on cutting-edge research and practical insights that can shape the future of the field. It also focuses on novel ways of using AI techniques to derive innovative insights that can streamline marketing processes and make businesses more effective. The papers herein contribute not only to the advancement of knowledge and understanding surrounding the utilisation of AI in marketing but also play a crucial role in establishing a renewed and revitalised research agenda.
KW - Artificial intelligence
KW - Consumer behaviour
KW - Data-driven decision-making
KW - Digital technologies
KW - Marketing strategy
UR - http://www.scopus.com/inward/record.url?scp=85180183810&partnerID=8YFLogxK
U2 - 10.1007/s10796-023-10462-x
DO - 10.1007/s10796-023-10462-x
M3 - Editorial
AN - SCOPUS:85180183810
SN - 1387-3326
JO - Information Systems Frontiers
JF - Information Systems Frontiers
ER -
