Data governance refers to the exercise of authority and control over the management of
data. The purpose of data governance is to increase the value of data and minimize data …

Algorithmic fairness (AF) has been framed as a newly emerging technology that mitigates
systemic discrimination in automated decision‐making, providing opportunities to improve …

Some of the world's most profitable firms own platforms that exhibit network effects. A
platform exhibits network effects if, the more that people use it, the more valuable it becomes …

This introduction to the special issue on Data Governance, Digital Innovation, and Grand
Challenges highlights the importance of data governance when seeking to address grand …

Abstract Currently, Digital Twins receive considerable attention from practitioners and in
research. A Digital Twin describes a concept that connects physical and virtual objects …

As organizations increasingly rely on ERP for their financial operations, the need for
effective data governance becomes paramount to ensure accuracy, security, and …

Data management solutions on their own are becoming very expensive and not able to cope
with the reality of everlasting data complexity. Businesses have grown more sophisticated in …

While there has been a wealth of research exploring data governance, there are still some
gaps in how firms deploy data governance and what strategic actions they take to do so …

While governing data as an organizational asset has clear benefits, mobilizing an
organization to implement data governance remains elusive for practitioners. On that …

Data quality and especially the assessment of data quality have been intensively discussed
in research and practice alike. To support an economically oriented management of data …