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Empirically grounded agent-based models of innovation diffusion: a critical review
Innovation diffusion has been studied extensively in a variety of disciplines, including
sociology, economics, marketing, ecology, and computer science. Traditional literature on …
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 …
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
Purpose Partial least squares (PLS) has been introduced as a “causal-predictive” approach
to structural equation modeling (SEM), designed to overcome the apparent dichotomy …
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
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 …
interest to explore how this type of technology can improve automated service interactions …
Letting the computers take over: Using AI to solve marketing problems
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 …
to providing customer service responses. However, though many firms want to take …
Prediction‐oriented model selection in partial least squares path modeling
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 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)
Comparing alternative explanations for behavioral phenomena is central to the process of
scientific inquiry. Recent research has emphasized the efficacy of Information Theoretic …
scientific inquiry. Recent research has emphasized the efficacy of Information Theoretic …
Information systems research for smart sustainable mobility: A framework and call for action
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 …
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
Purpose Generalized structured component analysis (GSCA) and partial least squares path
modeling (PLSPM) are two key component-based approaches to structural equation …
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
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 …
generating increasing interest in insights to be gained from text-based content. This work …