Artificial intelligence (AI) is beginning to transform traditional research practices in many
areas. In this context, literature reviews stand out because they operate on large and rapidly …

Abstract Artificial Intelligence (AI) and Machine Learning (ML) are being used more and
more to handle complex tasks in many different areas. As a result, interconnected …

With the proliferation of “big data” and powerful analytical techniques, information systems
(IS) researchers are increasingly engaged in what we label as big data research (BDR) …

Qualitative research can produce a rich understanding of a phenomenon but requires an
essential and strenuous data annotation process known as coding. Coding can be repetitive …

The digitalization of organizational settings can provide seemingly unprecedented visibility
into knowledge work practices through trace data. Although trace data could be a boon for …

Process mining refers to a family of algorithms used to computationally reconstruct, analyze
and visualize business processes through event log data. While process mining is …

Context is usually conceptualized as “external” to a theory or model and treated as
something to be controlled or eliminated in empirical research. We depart from this tradition …

Machine learning in the medical area has become a very important requirement. The
healthcare professional needs useful tools to diagnose medical illnesses. Classifiers are …

When IT work is performed through digital labor markets, IT professionals have a high
degree of personal responsibility for their careers and must use appropriate strategies to be …

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 …