This dissertation discusses the implementation process of gamification in organisations’ workplace learning environments, focusing on four stakeholder groups: Administrators, Leaders, Providers and Users. These stakeholder ...

Innovative decision support systems (DSSs) are revolutionizing key processes in organizations. These systems are used in managerial decision-making to solve increasingly complicated decision tasks, for example, using ...

The discretion of street-level bureaucrats is increasingly affected by public sector digitalisation. The aim of this study was to provide a scoping review with “state of the art” of research about information and communication ...

The digital platform has served us well as a metaphor for an imaginary ‘something’ made comprehensible through theories such as matchmaking, externalities, and network effects. But as much as metaphors and theories can ...

As organizations embrace digital technologies in new ways, they experience a process known as digital transformation. This process is not just about technological changes – digital transformation also involves ...

The increasing demand for connectivity in safety-critical domains has made security assurance a crucial consideration. In safety-critical industry, software, and connectivity have become integral to meeting market expectations. ...

In recent years, there has been an increasing interest in the connections between supervisory control theory and reactive synthesis. As the two fields use similar techniques there is great hope that technologies from one ...

Background: Modern software development companies are increasingly implementing continuous integration (CI) practices to meet market demands for delivering high-quality features. The availability of data from CI systems ...

This thesis explores the application of digital tools in Swedish language education, specifically in relation to speaking skills. It focuses on dialogue- based, computer-assisted language learning, which enables students ...

Context: The proficiency of machine learning (ML) systems in solving many real-world problems effectively has enabled a paradigm shift toward ML-enabled systems. In ML-enabled software, significant software code artifacts ...