Publication Type
Journal Article
Version
publishedVersion
Publication Date
6-2024
Abstract
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.
Keywords
Artificial intelligence, Digital technologies, Data-driven decision-making, Marketing strategy, Consumer behaviour
Discipline
Artificial Intelligence and Robotics | Databases and Information Systems | Marketing
Research Areas
Data Science and Engineering
Publication
Information Systems Frontiers
Volume
26
Issue
3
First Page
851
Last Page
856
ISSN
1387-3326
Identifier
10.1007/s10796-023-10462-x
Publisher
Springer
Citation
CHARLES, Valentina; RANA, Nripendra; PAPPAS, Ioannis; KAMPHAUG, Magne; SIAU, Keng; and ENGO-MONSEN, Kare.
The next 'deep' thing in X to Z marketing: An artificial intelligence driven approach. (2024). Information Systems Frontiers. 26, (3), 851-856.
Available at: https://ink.library.smu.edu.sg/sis_research/9529
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/s10796-023-10462-x
Included in
Artificial Intelligence and Robotics Commons, Databases and Information Systems Commons, Marketing Commons