In the era of digital transformation, organizations are leveraging digital technologies to innovate through smart services – utilizing sensor-generated data. Despite the rich methodological knowledge available, a significant adoption gap persists in smart service innovation, particularly among small and medium-sized enterprises (SMEs) due to constraints in knowledge dissemination and resources. Addressing this challenge, we collaborated with five SMEs to develop a web application prototype, the “bi.smart Launchpad”, aimed at facilitating smart service innovation projects. This paper delineates the design requirements and features instantiated in the prototype, elaborates on its architecture and implementation, and presents the results of a quantitative evaluation. Our findings demonstrate the prototype’s potential to bridge the adoption gap, offering SMEs a practical and effective tool to overcome the challenges of smart service innovation.

The traditional process of conducting literature reviews requires a significant amount of manual work and is often constrained by the limitations of small sample sizes. Although novel computational approaches to language analysis offer great opportunities, they are rarely applied to literature reviews. We aim to demonstrate the potential of ontology-based computational literature reviews. Therefore, we conducted a Design Science Research (DSR) project to apply and extend a method for this type of review. Since DSR shows a considerable diversity in theoretical foundations and methodological approaches and can serve as an insightful example, we first developed a machine learning classifier to identify DSR articles. Second, we applied and extended a method for ontological annotation and sentence classification. Finally, we conducted a computational literature review of 6,235 DSR articles, focusing on the distribution of theories, methods, and topics. We also developed an interactive dashboard prototype with selected results from our study.

Software developers must not only be capable of producing secure code, but must also possess the ability to identify security vulnerabilities when evaluating their peers' work.
The necessary awareness of this is crucial in industrial environments that handle critical infrastructure.
The present work explores a method to empower software developers on the topic of secure coding, through the practice of code review.
We propose a serious game, called the “DuckDebugger”, specifically designed for use in industrial settings and to address the needs of software developers, and implement it across 13 events together with over 200 industrial developers.
Our research is based on insights gained from deploying this game in an industrial context.
The contributions of this work include the design of the serious game and the context in which it is deployed, an analysis of the perceived benefits, and practical recommendations for practitioners seeking to bridge code review and cybersecurity together.