Online reviews became an essential source of knowledge during consumers’ online decision-making process. In recent years, the crucial role of online reviews has incentivized fraudsters to game the review system by writing selfpromotional fake reviews or bad-mouthing competitors. While detecting fake reviews has become an important task for scholars and practitioners, research on the impact of fake reviews is still limited and distributed across disciplines. Therefore, we conducted a systematic literature review to synthesize empirical and theoretical research findings on the impact of fake reviews. Our findings show that fake reviews are not only a competitive and economic but also a social problem. Moreover, fake reviews undermine the importance of online reviews as quality signals in online decision-making processes. In this paper, we identified research gaps and derived recommendations for future research and practice.

The sociotechnical paradigm in information systems (IS) offers a ho- listic framework to view dynamics between social and technical subsystems. Gender is a consistent part of the social subsystem and has often been the object of research in IS. In combination with gender, the concept of social justice is widely used and sparks discussion. To our knowledge, there is no comprehensive review on the subject of gender and sociotechnical systems (STS). The present review is an analysis of the existing IS literature on STS regarding gender and the concept of social justice in this context. By delving into the intersectionality of gender and STS, we contribute to a broader understanding of gender dimen- sions in STS within the IS, raising awareness of gender definitions and dimen- sions, as well as sociotechnical perspectives that can lead to fairer and more re- sponsible future research.

Recent advancements in immersive technologies (ImTs) present various opportunities for small and medium-sized enterprises (SMEs) including the creation of virtual prototypes and the facilitation of employee training in extended reality settings. Integrating ImTs into their business models as part of the digitization process is increasingly viewed as essential for SMEs to maintain future competitiveness. However, despite the potential benefits, the adoption of ImTs by SMEs remains relatively low. This study analyses the affordances and constraints associated with the adoption of ImTs through a qualitative analysis of 10 semi-structured interviews with providers and users of ImTs in the context of SMEs. This research builds upon existing literature and provides valuable insights into the adoption of ImTs, including the hitherto underexposed facets of improved worker safety through ImTs as well as the lack of standardization, which are of particular interest in the context of SMEs.

Novice researchers often encounter the dilemma of how their research can be expanded and enhanced through the gathering of data in a methodologically rigorous and dependable manner. An invaluable instrument is the utilization of surveys, focus groups, the Delphi method, and alike, which requires the knowledge of appropriate constructs. Novice researchers are frequently overwhelmed by the wide range of questionnaires, which can result in erroneous decisions that can have far-reaching implications for the success of design science research projects. Therefore, the present study endeavors to elucidate the obscure realm of data collection by presenting an extensive overview of questionnaires and constructs in design science research projects. Through the provision of descriptive knowledge in the form of data visualizations, as well as an interactive conceptual model and a database of questionnaires, our work contributes to a more profound comprehension and an extensive overview to aid novice researchers in their endeavors.

Since its inception in the 1950s, the Business Informatics field and its education have continually adapted to the growing need for information systems expertise. The continuous evolution of the field, as well as the need to align with emerging topics, challenge master’s programs to meet market demands for highly trained scholars, managers, and entrepreneurs. Despite various adaptations, most business informatics master’s programs have kept the name “Wirtschaftsinformatik,” masking the diversity of their structure and content. We address this by investigating the structure and content of German Business Informatics master’s programs to identify their similarities and differences. We gathered data from 4,158 courses from 47 German universities and performed topic modeling using BERTopic. Our results provide first insights into programs’ structures and contents, highlighting similarities and differences. We discuss these results, introducing a three-dimensional typology that categorizes three program types, and concluding with future research directions.

Algorithm-driven systems, including those containing Artificial Intelligence, are increasingly deployed within criminal justice systems. This includes facial recognition in public places for identifying people, pattern recognition for real-time detection of crimes, and algorithmic surveillance and recommendations as features within penal facilities. Such systems are frequently criticised, as they might perpetuate discrimination, and they pose a potential threat to privacy. Data protectionists and other human rights activists are paying attention to surveillance in public places, and the matter is strongly represented in political discourse. We find, conducting a hermeneutic literature review, that surveillance and the algorithmic evaluation and assessment of people in penal facilities, however, are largely absent from public and scholarly discourse. Applying a Foucauldian lens, we perform a critical discourse analysis, and argue that those current developments show a lack of dignity, respect and moral behaviour in an increasingly datafied world.

Enhancing patient-centeredness in healthcare is crucial for delivering high-quality patient care, particularly in light of concerning statistics indicating that many patients feel inadequately informed about their illnesses. Engaging patients in the development of services and systems serves as a pivotal strategy to enhance patient-centeredness. Nonetheless, existing literature lacks a comprehensive overview of patient engagement strategies, impeding stakeholders' ability to discern co-creation opportunities. Addressing this gap, this systematic review examines patient engagement across diverse healthcare domains and methodologies. Among the 1,686 articles initially screened in PubMed, 72 met inclusion criteria and were categorized into seven distinct groups: research, clinical studies, quality management, guideline development, policy, product and innovation, and clinical organization. The findings provide a comprehensive outlook on patient engagement possibilities, underscore methodological similarities, and reveal varying levels of research and results across categories, signaling significant potential for future studies.