Machine learning and marketing: A systematic literature review

V Duarte, S Zuniga-Jara, S Contreras - IEEE Access, 2022 - ieeexplore.ieee.org
Even though machine learning (ML) applications are not novel, they have gained popularity
partly due to the advance in computing processing. This study explores the adoption of ML …

Artificial intelligence in marketing: A network analysis and future agenda

D Schiessl, HBA Dias, JC Korelo - Journal of Marketing Analytics, 2022 - Springer
Recent research in the marketing literature has explored the use of artificial intelligence in
harnessing consumer information, providing researchers and businesses with strategic …

[HTML][HTML] Creating and detecting fake reviews of online products

J Salminen, C Kandpal, AM Kamel, S Jung… - Journal of Retailing and …, 2022 - Elsevier
Customers increasingly rely on reviews for product information. However, the usefulness of
online reviews is impeded by fake reviews that give an untruthful picture of product quality …

[HTML][HTML] The future of service: The power of emotion in human-robot interaction

SHW Chuah, J Yu - Journal of Retailing and Consumer Services, 2021 - Elsevier
Astoundingly, recent technological advancements have enabled robots to display emotions.
Yet, while emotional expression is valued in the field of service, understanding emotions in …

Detecting fake reviews through topic modelling

ŞÖ Birim, I Kazancoglu, SK Mangla… - Journal of Business …, 2022 - Elsevier
Against the uncertainty caused by the information overload in the online world, consumers
can benefit greatly by reading online product reviews before making their online purchases …

Knowing how satisfied/dissatisfied is far from enough: a comprehensive customer satisfaction analysis framework based on hybrid text mining techniques

T Yang, J Wu, J Zhang - International Journal of Contemporary …, 2024 - emerald.com
Purpose This study aims to establish a comprehensive satisfaction analysis framework by
mining online restaurant reviews, which can not only accurately reveal consumer …

Sustainable service product design method: Focus on customer demands and triple bottom line

X Liu, MY Li - Journal of Retailing and Consumer Services, 2024 - Elsevier
Sustainable development of the service industry represents an inevitable trend. The key to
sustainable transformation in service-oriented enterprises lies in sustainable service product …

[HTML][HTML] How profanity in influences perceived authenticity and perceived helpfulness of online reviews: The moderating role of review subjectivity

DS Lie, B Sung, M Stankovic, F Septianto - Decision Support Systems, 2024 - Elsevier
While profanity may seem offensive, its prevalence within online reviews suggests it might
be useful in influencing perceptions of the usefulness of online reviews. The present …

Mind the fake reviews! Protecting consumers from deception through persuasion knowledge acquisition

M Costa Filho, DN Rafael, LSG Barros… - Journal of Business …, 2023 - Elsevier
A growing body of research has shown that while computers can effectively detect fake
reviews, humans are no more accurate than chance. Since consumers strongly trust online …

Text mining-based four-step framework for smart speaker product improvement and sales planning

J Park, D Yang, HY Kim - Journal of Retailing and Consumer Services, 2023 - Elsevier
The smart speaker market, which is considered an early-stage market, is expected to grow
rapidly as smart speakers become a part of daily life. Consequently, manufacturers are …