Knowledge management is an important discipline as it organizes the knowledge resources necessary for innovation and sustainable competitive advantage. Thus, it becomes increasingly important in times of high fluctuation and retirements. With the rise of (generative) artificial intelligence (AI) and related technological advances, information systems supporting knowledge management processes are expected to improve. Still, research has not yet provided prescriptive knowledge on such AI-supported knowledge management systems. Therefore, we apply the design archaeology methodology and analyze the functionalities of successful knowledge repositories as a special class of knowledge management systems. We derive nine design principles and evaluate them using interviews with practitioners, showing a high relevance of the topic and the design knowledge. This study contributes to knowledge management and information systems literature by uncovering (already starting) change due to technological (AI) advances, deriving prescriptive knowledge on knowledge management systems, and providing rigor to the design archaeology methodology.

Während einzelne Einsatzbereiche der Blockchain Technologie (BCT) in der wissenschaftlichen Literatur bereits gut durchdrungen sind, zeigt die Praxis immer wieder neue Einsatzbereiche auf, wie die Spieleindustrie. Die Arbeit nutzt einen literature review, um das Potenzial der BCT für die Spieleindustrie zu ana-lysieren. Die Erkenntnisse aus der Literatur werden in acht Anwendungspotenzi-ale klassifiziert und beschrieben. Auf diese Weise werden die vielfältigen Um-setzungsmöglichkeiten der BCT in der Spieleindustrie zusammengefasst und ver-anschaulicht. Mit Hauptfokus auf die Klassifikation soll eine Transparenz ge-schaffen werden, welche Stakeholdern der Spieleindustrie das Erfassen der Po-tenziale der BCT ermöglicht und das Übertragen dieser Erkenntnisse auf eigene Modelle erleichtert.

This study examines data management and scaling in AI startups. It uncovers the distinctive scaling dynamics of AI startups, where data emerges as a central resource. Through qualitative research and interviews with 13 AI startups, operational complexities and strategic approaches in data management are unveiled. The research employs a practical Framework of Data Conceptualisation for AI startups, which we developed based on our findings, enriching both scientific understanding and entrepreneurial theory in the AI domain.

Developers are confronted with a plethora of guidelines to address trustworthy AI (TAI). However, guidelines remain mainly abstract and implications for the development process are often difficult to address technically in a holistic manner across the AI development process of data preprocessing, model development, model evaluation, and inferencing. We synthesize existing research on TAI guidelines and realization of TAI qualities, such as security or fairness, to derive techniques that TAI development platforms need to prioritize and include to guide developers for addressing TAI. Our study reveals 34 techniques for achieving TAI on development platforms along six main technique categories: trustworthy training data, trustworthy model training, tests for trustworthy model evaluation, monitoring and control for trustworthy inferencing, external and internal transparency, and data protection. This study contributes to a better understanding of realizing TAI so that researchers and practitioners can better address TAI requirements and ensure impact of TAI guidelines.

With the rise of highly capable generative artificial intelligence (GenAI) systems such as ChatGPT, research into the factors that ultimately influence their acceptance is essential for meeting the high development effort with high adoption. Building on the Technology Acceptance Model, a model specifically tailored to GenAI has been developed to unearth the specific factors influencing the acceptance of GenAI systems, namely (1) personalization, (2) AI alignment, (3) contextuality, (4) AI experience, and (5) subjective norms. After conducting an online experiment with 307 participants to evaluate the proposed model, it showed that both AI alignment and personalization had a direct impact on perceived usefulness. Perceived usefulness and subjective norms also showed direct effects on attitudes toward using a GenAI system. Finally, this model will help system designers and developers understand how GenAI systems should be designed to achieve high user acceptance.

ChatGPT ist seit der globalen Veröffentlichung im November 2022 in aller Munde. Während viele Chancen für die Nutzung von generativer KI existieren, stellt die Monetarisierung von KI-generierten Erzeugnissen Unternehmen vor diverse Herausforderungen. Diese Arbeit befasst sich mit der Zahlungsbereitschaft von Konsumierenden für Texte von generativer KI und berücksichtigt dabei den mediierenden Faktor Vertrauen. Das Forschungsmodell wurde quantitativ durch eine multiple lineare Regression geprüft. Indem die Herkunft des Textes experimentell manipuliert wurde, konnten Aussagen über eine Aversion gegenüber generativer KI und wahrgenommene Qualität getroffen werden. Die Ergebnisse des Experimentes zeigen eine signifikant geringere Zahlungsbereitschaft für Texte, bei welchen die generative KI als Erzeuger angegeben wurde. Gleichzeitig konnte kein signifikanter Zusammenhang zwischen der Zahlungsbereitschaft und generativer KI als tatsächlichem Verfasser gezeigt werden. Daraus ergeben sich moralischen und juristischen Implikationen. Während KI weniger Vertrauen entgegengebracht wurde, konnte kein signifikanter Effekt dieser auf die Zahlungsbereitschaft festgestellt werden.

A growing number of organizations with hybrid work models aim to increase their employees’ in-office presence, often due to perceived detrimental effects of hybrid work on collaboration and organizational culture as a result of employees being less present in the office simultaneously. To achieve this, the study argues that employees may be motivated to be present in the office more often if they can co-create the office to meet their individual workplace-related needs. This can be achieved through the use of toolkits, which this study exam- ines within an exploratory single case study where an organization attempted to adapt its workspace design according to the different needs of its employees. Lego® Serious Play® as a physical and a digital toolkit with similar functionality were used to help employees to express their workplace-related needs. Juxtapos- ing the two revealed three disting patterns that showed how digital toolkits could be more beneficial.

Implementing green information systems (IS) in urban contexts presents an opportunity to address the challenges of climate change. Scholars have formulated citizen-centric design principles that can be used in sustainable smart districts. Whether and to what extent these principles are followed de facto remains to be understood. To address this question, this paper aims to evaluate the execution of design principles by conducting market analysis on a sample of 10 cities using green IS to efficiently use resources, optimize processes, integrate data, or enhance citizen engagement. We assess citizen-centricity, privacy guidelines, IT architecture, and design approaches when developing and maintaining green IS in an urban context. The results suggest that the exploitation of urban data or citizen-centricity is mostly implemented in every city. At the same time, there is room for improvement in terms of holistic strategies or data protection guidelines.

Digital nudging has proven effective in various e-commerce applications to promote environmentally conscious consumer decisions. However, digital nudging for the choice of sustainable packaging has only been marginally addressed. This paper, therefore, investigates the effectiveness and practical feasibility of digital nudging for the promotion of sustainable packaging in e-commerce by conducting expert interviews with professionals from the online retail and packaging industries. The findings show that while digital nudging can support the promotion of sustainable packaging in online stores, the widespread adoption of sustainable packaging requires additional legal incentives and an approximation to the cost and process properties of conventional packaging.