Empirically grounded agent-based models of innovation diffusion: a critical review

H Zhang, Y Vorobeychik - Artificial Intelligence Review, 2019 - Springer
Innovation diffusion has been studied extensively in a variety of disciplines, including
sociology, economics, marketing, ecology, and computer science. Traditional literature on …

Machine learning in marketing: Overview, learning strategies, applications, and future developments

VA Brei - Foundations and Trends® in Marketing, 2020 - nowpublishers.com
The widespread impacts of artificial intelligence (AI) and machine learning (ML) in many
segments of society have not yet been felt strongly in the marketing field. Despite such …

Predictive model assessment in PLS-SEM: guidelines for using PLSpredict

G Shmueli, M Sarstedt, JF Hair, JH Cheah… - European journal of …, 2019 - emerald.com
Purpose Partial least squares (PLS) has been introduced as a “causal-predictive” approach
to structural equation modeling (SEM), designed to overcome the apparent dichotomy …

[HTML][HTML] Resha** the contexts of online customer engagement behavior via artificial intelligence: A conceptual framework

R Perez-Vega, V Kaartemo, CR Lages… - Journal of Business …, 2021 - Elsevier
As new applications of artificial intelligence continue to emerge, there is an increasing
interest to explore how this type of technology can improve automated service interactions …

Letting the computers take over: Using AI to solve marketing problems

G Overgoor, M Chica, W Rand… - California …, 2019 - journals.sagepub.com
Artificial intelligence (AI) has proven to be useful in many applications from automating cars
to providing customer service responses. However, though many firms want to take …

Prediction‐oriented model selection in partial least squares path modeling

PN Sharma, G Shmueli, M Sarstedt, N Danks… - Decision …, 2021 - Wiley Online Library
Partial least squares path modeling (PLS‐PM) has become popular in various disciplines to
model structural relationships among latent variables measured by manifest variables. To …

Model selection uncertainty and multimodel inference in partial least squares structural equation modeling (PLS-SEM)

NP Danks, PN Sharma, M Sarstedt - Journal of Business Research, 2020 - Elsevier
Comparing alternative explanations for behavioral phenomena is central to the process of
scientific inquiry. Recent research has emphasized the efficacy of Information Theoretic …

Information systems research for smart sustainable mobility: A framework and call for action

W Ketter, K Schroer… - Information Systems …, 2023 - pubsonline.informs.org
Transportation is a backbone of modern globalized societies. It also causes approximately
one third of all European Union and US greenhouse gas emissions, represents a major …

A comparative study of the predictive power of component-based approaches to structural equation modeling

G Cho, S Kim, J Lee, H Hwang, M Sarstedt… - European journal of …, 2023 - emerald.com
Purpose Generalized structured component analysis (GSCA) and partial least squares path
modeling (PLSPM) are two key component-based approaches to structural equation …

Paralanguage classifier (PARA): An algorithm for automatic coding of paralinguistic nonverbal parts of speech in text

AW Luangrath, Y Xu, T Wang - Journal of Marketing …, 2023 - journals.sagepub.com
Brands and consumers alike have become creators and distributors of digital words, thus
generating increasing interest in insights to be gained from text-based content. This work …