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As AI technology is increasingly used in production systems, different approaches have emerged from highly decentralized small-scale AI at the edge level to centralized, cloud-based services used for higher-order optimizations. Each direction has disadvantages ranging from the lack of computational power at the edge level to the reliance on stable network connections with the centralized approach. Thus, a hybrid approach with centralized and decentralized components that possess specific abilities and interact is preferred. However, the distribution of AI capabilities leads to problems in self-adapting learning systems, as knowledgebases can diverge when no central coordination is present. Edge components will specialize in distinctive patterns (overlearn), which hampers their adaptability for different cases. Therefore, this paper aims to present a concept for a distributed interchangeable knowledge base in CPPS. The approach is based on various AI components and concepts for each participating node. A service-oriented infrastructure allows a decentralized, loosely coupled architecture of the CPPS. By exchanging knowledge bases between nodes, the overall system should become more adaptive, as each node can “forget” their present specialization.
The chapter analyses recent reforms in the multilevel system of the Länder, specifically territorial, functional and structural reforms, which represent three of the most crucial and closely interconnected reform trajectories at the subnational level. It sheds light on the variety of reform approaches pursued in the different Länder and also highlights some factors that account for these differences. The transfer of state functions to local governments is addressed as well as the restructuring of Länder administrations (e.g. abolishment of the meso level of the Länder administration and of single-purpose state agencies) and the rescaling of territorial boundaries at county and municipal levels, including a brief review of the recently failed (territorial) reforms in Eastern Germany.
Since more and more production tasks are enabled by Industry 4.0 techniques, the number of knowledge-intensive production tasks increases as trivial tasks can be automated and only non-trivial tasks demand human-machine interactions. With this, challenges regarding the competence of production workers, the complexity of tasks and stickiness of required knowledge occur [1]. Furthermore, workers experience time pressure which can lead to a decrease in output quality. Cyber-Physical Systems (CPS) have the potential to assist workers in knowledge-intensive work grounded on quantitative insights about knowledge transfer activities [2]. By providing contextual and situational awareness as well as complex classification and selection algorithms, CPS are able to ease knowledge transfer in a way that production time and quality is improved significantly. CPS have only been used for direct production and process optimization, knowledge transfers have only been regarded in assistance systems with little contextual awareness. Embedding production and knowledge transfer optimization thus show potential for further improvements. This contribution outlines the requirements and a framework to design these systems. It accounts for the relevant factors.
Helping overcome distance, the use of videoconferencing tools has surged during the pandemic. To shed light on the consequences of videoconferencing at work, this study takes a granular look at the implications of the self-view feature for meeting outcomes. Building on self-awareness research and self-regulation theory, we argue that by heightening the state of self-awareness, self-view engagement depletes participants’ mental resources and thereby can undermine online meeting outcomes. Evaluation of our theoretical model on a sample of 179 employees reveals a nuanced picture. Self-view engagement while speaking and while listening is positively associated with self-awareness, which, in turn, is negatively associated with satisfaction with meeting process, perceived productivity, and meeting enjoyment. The criticality of the communication role is put forward: looking at self while listening to other attendees has a negative direct and indirect effect on meeting outcomes; however, looking at self while speaking produces equivocal effects.
Der nutzbringenden Einsatz einer Datenbrille besteht nicht nur aus der Brille selbst. Die potenzielle ressourcenschonende Assistenz bei der Abarbeitung von komplexen Workflows bedarf eine ausreichende Integration in die Anwendungssystemlandschaft. Implikation sind demnach zwei Hauptelemente: die Brille selbst und die Integrationssoftware. Beide Komponenten sind in geeigneter Form auszulegen und auf die intendierten Anwendungsfälle zu konfigurieren. Dieser Beitrag fasst die Erfahrungen aus zahlreichen Projekten zusammen und liefert einen Überblick über die Herausforderungen bei AR-Einführungen.
Auf Basis einer Umfrage unter 300 Beschäftigten im öffentlichen Dienst untersucht dieser Beitrag, welche möglichen Auswirkungen die Digitale Transformation auf das Tätigkeitsprofil von Mitarbeiterinnen und Mitarbeitern im öffentlichen Sektor haben kann. Zum einen finden sich erste Hinweise auf signifikante Effizienzpotenziale durch Automatisierung im öffentlichen Sektor. Zum anderen wird deutlich, dass die Mitarbeiterinnen und Mitarbeiter dieser Entwicklung mehrheitlich positiv gegenüberstehen und sie aktiv an der Verbesserung von Dienstleistungen mitwirken wollen. Aus diesen Erkenntnissen können zahlreiche Handlungsimplikationen für Veränderungsprojekte in der Praxis abgeleitet werden. Gleichzeitig ruft dieser Beitrag dazu auf, die Folgen der Digitalen Transformation für Mitarbeiterinnen und Mitarbeiter noch besser zu erforschen.
Im Zuge der Digitalisierung bietet Business Analytics das Potenzial, die Budgetierung insbesondere durch eine Automatisierung von Prozessschritten der Budgetierung maßgeblich weiterzuentwickeln. Dieser Beitrag zeigt mittels einer empirischen Untersuchung den Status quo des Einsatzes von Business Analytics im Rahmen der Budgetierung in Deutschland und geht auf die Beurteilung einer Automatisierung der Budgetierung durch Unternehmen ein.
The design of qualitative, excellent teaching requires collaboration between teachers and learners. For this purpose, face-to-face teaching benefits from a long-standing tradition, while digital teaching is comparatively still at the beginning of its dissemination. A major developmental step toward the digitization of teaching was achieved in the context of university teaching during the Covid 19 pandemic in spring 2020, when face-to-face teaching was interrupted for months. During this time, important insights into the opportunities and limitations of digital teaching were gained. This paper presents selected results of a study conducted at four German universities and with 875 responses in spring 2020. The study uncovers opportunities and limitations of digital teaching from the students’ perspective and against the background of their experience in the completely digital semester. The results are used as a basis for deriving design guidelines for digital teaching and learning offerings. Based on a model for analyzing the design of teaching and learning formats, these indications are structured according to the elements learners, teachers, teaching content, environment and teaching style.
Chinas neuer langer Marsch
(2021)