In the past decade, current literature and businesses have drawn attention to Artificial
Intelligence (AI) tools and in particular to the advances in machine learning techniques …

Introduction With the advancement of technology and the increasing utilization of AI, the
nature of human work is evolving, requiring individuals to collaborate not only with other …

Artificial intelligence (AI) is being increasingly integrated into enterprises to foster
collaboration within humanmachine teams and assist employees with work-related tasks …

Digital transformation exposes enterprises of altering business strategies and adapt
technological advancements such as artificial intelligence (AI). AI is expected to …

The need for AI systems to provide explanations for their behaviour is now widely
recognised as key to their adoption. In this article, we examine the problem of trustworthy AI …

Purpose Designing knowledge management (KM) systems capable of transforming big data
into information characterised by strategic value is a major challenge faced nowadays by …

This paper identifies challenges facing the development of contextual theory in Information
Systems research. The IS literature is examined to identify the variation of approaches …

Much information systems research on data science treats data as preexisting objects and
focuses on how these objects are analyzed. Such a view, however, overlooks the work …

The ethical dimensions of Artificial Intelligence (AI) constitute a salient topic in information
systems (IS) research and beyond. There is an increasing number of journal and conference …

This paper provides an assessing review and agenda for research at the 'nexus' between
information systems and strategy practice. The review aims to understand the nature of this …