[HTML][HTML] Artificial intelligence in marketing: Systematic review and future research direction

S Verma, R Sharma, S Deb, D Maitra - International Journal of Information …, 2021 - Elsevier
Disruptive technologies such as the internet of things, big data analytics, blockchain, and
artificial intelligence have changed the ways businesses operate. Of all the disruptive …

Survey on applications of multi-armed and contextual bandits

D Bouneffouf, I Rish, C Aggarwal - 2020 IEEE Congress on …, 2020 - ieeexplore.ieee.org
In recent years, the multi-armed bandit (MAB) framework has attracted a lot of attention in
various applications, from recommender systems and information retrieval to healthcare and …

[HTML][HTML] A strategic framework for artificial intelligence in marketing

MH Huang, RT Rust - Journal of the Academy of Marketing Science, 2021 - Springer
The authors develop a three-stage framework for strategic marketing planning, incorporating
multiple artificial intelligence (AI) benefits: mechanical AI for automating repetitive marketing …

Machine learning and AI in marketing–Connecting computing power to human insights

L Ma, B Sun - International Journal of Research in Marketing, 2020 - Elsevier
Artificial intelligence (AI) agents driven by machine learning algorithms are rapidly
transforming the business world, generating heightened interest from researchers. In this …

Artificial intelligence and marketing: Pitfalls and opportunities

A De Bruyn, V Viswanathan, YS Beh… - Journal of …, 2020 - journals.sagepub.com
This article discusses the pitfalls and opportunities of AI in marketing through the lenses of
knowledge creation and knowledge transfer. First, we discuss the notion of “higher-order …

[HTML][HTML] Unravelling the techno-functional building blocks of metaverse ecosystems–A review and research agenda

AK Kar, PS Varsha - International Journal of Information Management Data …, 2023 - Elsevier
The metaverse as a hyper-connected digital cosmos, holds great potential for reshaping the
future of business and consumer interactions in a world where different virtual realities blend …

A framework for collaborative artificial intelligence in marketing

MH Huang, RT Rust - Journal of Retailing, 2022 - Elsevier
We develop a conceptual framework for collaborative artificial intelligence (AI) in marketing,
providing systematic guidance for how human marketers and consumers can team up with …

Online and offline retailing: What we know and directions for future research

B Ratchford, G Soysal, A Zentner, DK Gauri - Journal of Retailing, 2022 - Elsevier
The fast-paced growth of e-commerce is rapidly changing consumers' shopping habits and
shaping the future of the retail industry. While online retailing has allowed companies to …

Dynamic coupon targeting using batch deep reinforcement learning: An application to livestream shopping

X Liu - Marketing Science, 2023 - pubsonline.informs.org
We present an empirical framework for creating dynamic coupon targeting strategies for high-
dimensional and high-frequency settings, and we test its performance using a large-scale …

How to maximize clicks for display advertisement in digital marketing? A reinforcement learning approach

V Singh, B Nanavati, AK Kar, A Gupta - Information Systems Frontiers, 2023 - Springer
One of the core challenges in digital marketing is that the business conditions continuously
change, which impacts the reception of campaigns. A winning campaign strategy can …