AI in marketing, consumer research and psychology: A systematic literature review and research agenda

MM Mariani, R Perez‐Vega, J Wirtz - Psychology & Marketing, 2022 - Wiley Online Library
This study is the first to provide an integrated view on the body of knowledge of artificial
intelligence (AI) published in the marketing, consumer research, and psychology literature …

[HTML][HTML] Using data sciences in digital marketing: Framework, methods, and performance metrics

JR Saura - Journal of Innovation & Knowledge, 2021 - Elsevier
In the last decade, the use of Data Sciences, which facilitate decision-making and extraction
of actionable insights and knowledge from large datasets in the digital marketing …

Teachers' AI digital competencies and twenty-first century skills in the post-pandemic world

DTK Ng, JKL Leung, J Su, RCW Ng… - … technology research and …, 2023 - Springer
The pandemic has catalyzed a significant shift to online/blended teaching and learning
where teachers apply emerging technologies to enhance their students' learning outcomes …

[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 …

Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda

M Mustak, J Salminen, L Plé, J Wirtz - Journal of Business Research, 2021 - Elsevier
The rapid advancement of artificial intelligence (AI) offers exciting opportunities for
marketing practice and academic research. In this study, through the application of natural …

Machine learning in marketing: A literature review, conceptual framework, and research agenda

EWT Ngai, Y Wu - Journal of Business Research, 2022 - Elsevier
In recent years, machine learning (ML) and artificial intelligence (AI) have attracted
considerable attention in different industry sectors, including marketing. ML and AI hold …

Predicting the changes in the WTI crude oil price dynamics using machine learning models

H Guliyev, E Mustafayev - Resources Policy, 2022 - Elsevier
This study aims to use a monthly dataset from 1991 to 2021 to predict West Texas
Intermediate (WTI) oil price dynamics using US macroeconomic and financial factors, as well …

The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning

SB Jabeur, R Khalfaoui, WB Arfi - Journal of Environmental Management, 2021 - Elsevier
This study aims to predict oil prices during the 2019 novel coronavirus (COVID-19)
pandemic by looking into green energy resources, global environmental indexes (ESG), and …

[HTML][HTML] Value-based pricing in digital platforms: A machine learning approach to signaling beyond core product attributes in cross-platform settings

T Christen, M Hess, D Grichnik, J Wincent - Journal of Business Research, 2022 - Elsevier
Value-based pricing is known to be challenging, especially on online platforms, but is
considered a superior pricing strategy. We investigate cross-platform pricing and other …

Detecting pain points from user-generated social media posts using machine learning

J Salminen, M Mustak, J Corporan… - Journal of …, 2022 - journals.sagepub.com
Artificial intelligence, particularly machine learning, carries high potential to automatically
detect customers' pain points, which is a particular concern the customer expresses that the …