Maturity models are widespread in IS research and in particular, IT practitioner communities.
However, theoretically sound, methodologically rigorous and empirically validated maturity …

Purpose The purpose of this paper is to investigate social and technical drivers of data
science practices and develop a standard model for assisting organizations in their digital …

The implementation of electronic health records has resulted in a rapid accumulation of
data. Healthcare organizations can use business intelligence (BI) technologies to leverage …

Business analytics (BA) capabilities can potentially provide value and lead to better
organisational performance. This paper develops a holistic, theoretically-grounded and …

Background Recently, machine learning (ML) has been transforming our daily lives by
enabling intelligent voice assistants, personalized support for purchase decisions, and …

Business Intelligence and Analytics (BIA) systems play an essential role in organizations,
providing actionable insights that enable business users to make more informed, data …

The evaluation, acquisition and use of newly available big data sources has become a
major strategic and organizational challenge for airline network planners. We address this …

The emergence of collaborative robots (cobots) has transformed the interaction between
humans and robots in industrial workspaces. While cobots offer significant advantages in …

This research focuses on designing a new maturity model to evaluate and plan an
organization's customer-centricity. The Hierarchical Decision Model (HDM) is used as the …

Business intelligence is an approach that includes processes and systems for transformation
of the raw data into meaningful and useful information which enables effective, systematic …