Decision-making in marketing has changed dramatically in the past decade. Companies
increasingly use algorithms to generate predictions for marketing decisions, such as which …

Artificial intelligence (AI) agents driven by machine learning algorithms are rapidly
transforming the business world, generating heightened interest from researchers. In this …

This article reviews the quantitative marketing literature on artificial intelligence (AI) through
an economics lens. We apply the framework in Prediction Machines: The Simple Economics …

This paper clarifies why context-specific studies have scientific merit and provides
recommendations to authors and journal stewards on how to develop them well. A context …

Sales managers are unlikely to reap the benefits of implementing predictive analytics
applications when salespeople show aversion to or lack understanding of these …

Despite the substantial economic impact of the restaurant industry, large-scale empirical
research on restaurant survival has been sparse. We investigate whether consumer-posted …

Behavioral science and machine learning have rapidly progressed in recent years. As there
is growing interest among behavioral scholars to leverage machine learning, we present …

By empowering customers to make fitting purchases, user reviews play an important role in
reducing inefficiencies in the provisioning of product information. Because of the abundance …

Patients at risk for hepatocellular carcinoma or liver cancer should undergo semiannual
screening tests to facilitate early detection, effective treatment options at lower cost, better …

User-generated content, particularly online product reviews by customers, provide marketers
with rich data of customer evaluations of product attributes. This study proposes …