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

Digital twin can be defined as a virtual representation of a physical asset enabled through
data and simulators for real-time prediction, optimization, monitoring, controlling, and …

Data science has employed great research efforts in developing advanced analytics,
improving data models and cultivating new algorithms. However, not many authors have …

A digital twin can be defined as an adaptive model of a complex physical system. Recent
advances in computational pipelines, multiphysics solvers, artificial intelligence, big data …

Data Science projects aim to methodologically extract knowledge and value from data to
help organizations to improve performance. Dedicated process models are applied to …

The rapid evolution of technology has led to a global increase in data. Due to the large
volume of data, a new characterization occurred in order to better describe the new situation …

Purpose The purpose of this paper is to explore organizational and human factor-related
challenges to information technology (IT) service management standard ISO 20000 in an …

In recent business environments data has become crucial, especially in the platform
business where advances in digital technology continuously increase the platform's value by …

Data emerged as a central success factor for companies to benefit from digitization.
However, the skills in successfully creating value from data–especially at the management …

In the paper at hand, a structured literature review was conducted to provide an overview of
the components of value creation from Data Science applications. For this purpose, the …