This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes
guidelines on how information systems (IS) research could contribute to this research …

Advancements in artificial intelligence (AI) technologies are rapidly changing the competitive
landscape. In the search for an appropriate strategic response, firms are currently engaging …

Explosive growth in big data technologies and artificial intelligence (AI) applications have
led to increasing pervasiveness of information facets and a rapidly growing array of …

Theorizing is the intellectual engine of a scholarly community. With this special issue, we
hope to inspire the IS community to reaffirm its commitment to develo** foundational …

Progressively, information systems (IS) researchers draw on digital trace data to capture the
emergent dynamics of today's digitalized world. Digital trace data enable researchers to …

This study offers fresh ontological insights by examining generative causality through the
Qualitative Comparative Analysis (QCA) counterfactual lens, in conjunction with Critical …

In this paper, we respond to Grover and Lyytinen (2022). We agree with them that the advent
of the digital age is calling for a reconsideration of the role of theory and theorizing. We also …

E-commerce platforms are becoming a primary destination for individuals to find, compare,
and eventually buy goods. They use machine learning (ML), business intelligence, and …

Process science is the interdisciplinary study of socio-technical processes. Socio-technical
processes involve coherent series of changes over time, entailing actions and events that …

The advance of Machine Learning (ML) has led to a strong interest in this technology to
support decision making. While complex ML models provide predictions that are often more …