The Next ‘Deep’ Thing in X to Z Marketing: An Artificial Intelligence-Driven Approach

Vincent Charles; Nripendra P. Rana; Ilias O. Pappas; Morten Kamphaug; Keng Siau; Kenth Engø-Monsen

doi:10.1007/s10796-023-10462-x

The Next ‘Deep’ Thing in X to Z Marketing: An Artificial Intelligence-Driven Approach

Vincent Charles
, Nripendra P. Rana
, Ilias O. Pappas
, Morten Kamphaug
, Keng Siau
, Kenth Engø-Monsen

Queen's University Belfast
College of Business and Economics
University of Agder
Norwegian University of Technology and Science (NTNU)
Deloitte AS
City University of Hong Kong
Smart Innovation Norway

Research output: Contribution to journal › Editorial

7 Scopus citations

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.

Original language	English
Pages (from-to)	851-856
Number of pages	6
Journal	Information Systems Frontiers
Volume	26
Issue number	3
DOIs	https://doi.org/10.1007/s10796-023-10462-x
State	Published - Jun 2024
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 12 Responsible Consumption and Production

Keywords

Artificial intelligence
Consumer behaviour
Data-driven decision-making
Digital technologies
Marketing strategy

Access to Document

10.1007/s10796-023-10462-x

Cite this

@article{e39438bb35154ceda9200dd5520d9ac4,

title = "The Next {\textquoteleft}Deep{\textquoteright} Thing in X to Z Marketing: An Artificial Intelligence-Driven Approach",

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 {\textquoteleft}Deep{\textquoteright} 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, Consumer behaviour, Data-driven decision-making, Digital technologies, Marketing strategy",

author = "Vincent Charles and Rana, \{Nripendra P.\} and Pappas, \{Ilias O.\} and Morten Kamphaug and Keng Siau and Kenth Eng{\o}-Monsen",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.",

year = "2024",

month = jun,

doi = "10.1007/s10796-023-10462-x",

language = "English",

volume = "26",

pages = "851--856",

journal = "Information Systems Frontiers",

issn = "1387-3326",

number = "3",

}

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: © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.

PY - 2024/6

Y1 - 2024/6

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 - https://www.scopus.com/pages/publications/85180183810

U2 - 10.1007/s10796-023-10462-x

DO - 10.1007/s10796-023-10462-x

M3 - Editorial

AN - SCOPUS:85180183810

SN - 1387-3326

VL - 26

SP - 851

EP - 856

JO - Information Systems Frontiers

JF - Information Systems Frontiers

IS - 3

ER -

The Next ‘Deep’ Thing in X to Z Marketing: An Artificial Intelligence-Driven Approach

Abstract

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this