Data, measurement, and causal inferences in machine learning: opportunities and challenges for marketing

JF Hair Jr, M Sarstedt - Journal of Marketing Theory and Practice, 2021 - Taylor & Francis
The emergence of digital data and the methods used to analyze them are revolutionizing
marketing research. The vast quantity of data offers marketing researchers countless …

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 …

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 …

[HTML][HTML] Setting the future of digital and social media marketing research: Perspectives and research propositions

YK Dwivedi, E Ismagilova, DL Hughes… - International journal of …, 2021 - Elsevier
The use of the internet and social media have changed consumer behavior and the ways in
which companies conduct their business. Social and digital marketing offers significant …

[HTML][HTML] Algorithmic bias in machine learning-based marketing models

S Akter, YK Dwivedi, S Sajib, K Biswas… - Journal of Business …, 2022 - Elsevier
This article introduces algorithmic bias in machine learning (ML) based marketing models.
Although the dramatic growth of algorithmic decision making continues to gain momentum in …

[HTML][HTML] Solving the product uncertainty hurdle in social commerce: The mediating role of seller uncertainty

AS Al-Adwan, H Yaseen - International Journal of Information Management …, 2023 - Elsevier
Social commerce, which combines the transactional side of e-commerce with social
interactions, has grown in popularity throughout the last years. Despite the fact that the issue …

An empirical comparison of machine learning methods for text-based sentiment analysis of online consumer reviews

HJ Alantari, IS Currim, Y Deng, S Singh - International Journal of Research …, 2022 - Elsevier
The amount of digital text-based consumer review data has increased dramatically and
there exist many machine learning approaches for automated text-based sentiment analysis …

Customer emotions in service robot encounters: A hybrid machine-human intelligence approach

R Filieri, Z Lin, Y Li, X Lu… - Journal of Service …, 2022 - journals.sagepub.com
Understanding consumer emotions arising from robot-customers encounters and shared
through online reviews is critical for forecasting consumers' intention to adopt service robots …

AI and digitalization in relationship management: Impact of adopting AI-embedded CRM system

S Chatterjee, R Chaudhuri, D Vrontis - Journal of Business Research, 2022 - Elsevier
The purpose of this study is to determine the impact of adopting a artificial intelligence-
embedded customer relationship management (CRM) system for business-to-business …

[HTML][HTML] Marketing perspectives on digital business models: A framework and overview of the special issue

PC Verhoef, THA Bijmolt - International Journal of Research in Marketing, 2019 - Elsevier
Strong digital developments are changing markets, and firms may adopt a digital business
model to deal with these developments. This special issue focuses on such digital business …