Refine
Year of publication
Document Type
- Conference Proceeding (561) (remove)
Language
- English (473)
- German (75)
- Multiple languages (10)
- French (2)
- Russian (1)
Keywords
- social media (5)
- Archiv (4)
- Information Structure (4)
- Nachlass (4)
- COVID-19 (3)
- Cloud Computing (3)
- E-Learning (3)
- E-Mail Tracking (3)
- ERP (3)
- MOOC (3)
Institute
- Extern (139)
- Fachgruppe Betriebswirtschaftslehre (68)
- Institut für Biochemie und Biologie (56)
- Department Sport- und Gesundheitswissenschaften (41)
- Institut für Ernährungswissenschaft (37)
- Department Psychologie (29)
- Institut für Künste und Medien (23)
- Interdisziplinäres Zentrum für Musterdynamik und Angewandte Fernerkundung (23)
- Institut für Informatik und Computational Science (20)
- Institut für Slavistik (17)
Einleitung
Pflege in Deutschland befindet sich in einem Veränderungsprozess. Die politisch forcierte Zuwanderung von Pflegekräften sowie die Akademisierung führen zu einem enormen Anpassungsdruck bei allen Beteiligten. Wie wirkt sich dies auf den Arbeitsalltag aus?
Methoden
Die qualitative Datenbasis umfasst bisher 36 Tage Teilnehmende Beobachtung, 17 Themenzentrierte Leitfadeninterviews sowie vier Gruppendiskussionen in vier Pflegeteams zweier Krankenhäuser. Die Analyse erfolgt mit der Dokumentarischen Methode.
Ergebnisse
Am Beispiel der Grundpflege (u. A. dem „Waschen“) wird deutlich, wie die Pflegeteams ihren Arbeitsalltag neu aushandeln. Die Teams mit einer hohen migrationsbezogenen Diversität argumentieren eher, dass die Aufgaben der Grund- und Behandlungspflege entsprechend der Qualifikation als Hilfs- oder Fachkraft erledigt werden sollen. Hier treten stereotype (kulturalisierende) Zuschreibungen in den Hintergrund. Demgegenüber berufen sich Pflegeteams mit einer niedrigen migrationsbezogenen Diversität eher darauf, dass die Grundpflege in Deutschland – anders als in anderen Ländern – zu den Aufgaben einer examinierten Pflegefachkraft zählt. Kolleg*innen aus dem Ausland wird die pflegerische Kompetenz daher eher abgesprochen.
Schlussfolgerung
Die Frage nach der Aufteilung von Grund- und Behandlungspflege, ist auf allen Stationen virulent. Die Teams entwickeln jedoch in Abhängigkeit von ihrer spezifischen Heterogenität unterschiedliche Umgangsweisen. Demzufolge sollte sich Personal- und Organisationsentwicklung insbesondere an den Pflegeteams orientieren.
Enterprise solutions, specifically enterprise systems, have allowed companies to integrate enterprises’ operations throughout. The integration scope of enterprise solutions has increasingly widened, now often covering customer activities, activities along supply chains, and platform ecosystems. IS research has contributed a wide range of explanatory and design knowledge dealing with this class of IS. During the last two decades, many technological as well as managerial/organizational innovations extended the affordances of enterprise solutions—but this broader scope also challenges traditional approaches to their analysis and design. This position paper presents an enterprise-level (i.e., cross-solution) perspective on IS, discusses the challenges of complexity and coordination for IS design and management, presents selected enterprise-level insights for IS coordination and governance, and explores avenues towards a more comprehensive body of knowledge on this important level of analysis.
While Information Systems Research exists at the individual and workgroup levels, research on IS at the enterprise level is less common. The potential synergies between the study of enterprise systems (ES) and related fields have been underexplored and often treated as separate entities. The ongoing challenge is to seamlessly integrate technological advances and align business processes across organizations. While systems integration within an organization is common, changes occur when industry and ecosystem perspectives come into play. The four selected papers address different facets of the future role of enterprise ecosystems, including implementation challenges, ecosystem boundaries, and B2B platform specifics.
In Time and the Other Johannes Fabian analysed how modern conceptions of time were “not only secularized and naturalized but also thoroughly spatialized.” According to Fabian, this was particularly visible in modern anthropology which “promoted a scheme in terms of which not only past cultures but all living societies were irrevocably placed on a temporal slope, a stream of Time – some upstream, others downstream.”3 Anthropologists attributed otherness to a distant past which was traditionally associated with cultural retardation, i.e. a lower degree of development, progress, and civilization. Cultural difference was expressed in terms of temporal distance while temporal distance was attributed to spatial remoteness. The result was a phenomenon that Fabian coined “the denial of coevalness” which pointed towards “a persistent and systematic tendency to place the referent(s) of anthropology in a Time other than the present of the producer of anthropological discourse.
Openness indicators for the evaluation of digital platforms between the launch and maturity phase
(2024)
In recent years, the evaluation of digital platforms has become an important focus in the field of information systems science. The identification of influential indicators that drive changes in digital platforms, specifically those related to openness, is still an unresolved issue. This paper addresses the challenge of identifying measurable indicators and characterizing the transition from launch to maturity in digital platforms. It proposes a systematic analytical approach to identify relevant openness indicators for evaluation purposes. The main contributions of this study are the following (1) the development of a comprehensive procedure for analyzing indicators, (2) the categorization of indicators as evaluation metrics within a multidimensional grid-box model, (3) the selection and evaluation of relevant indicators, (4) the identification and assessment of digital platform architectures during the launch-to-maturity transition, and (5) the evaluation of the applicability of the conceptualization and design process for digital platform evaluation.
Enterprise Resource Planning (ERP) system customization is often necessary because companies have unique processes that provide their competitive advantage. Despite new technological advances such as cloud computing or model-driven development, technical ERP customization options are either outdated or ambiguously formulated in the scientific literature. Using a systematic literature review (SLR) that analyzes 137 definitions from 26 papers, the result is an analysis and aggregation of technical customization types by providing clearance and aligning with future organizational needs. The results show a shift from ERP code modification in on-premises systems to interface and integration customization in cloud ERP systems, as well as emerging technological opportunities as a way for customers and key users to perform system customization. The study contributes by providing a clear understanding of given customization types and assisting ERP users and vendors in making customization decisions.
Enhancing economic efficiency in modular production systems through deep reinforcement learning
(2024)
In times of increasingly complex production processes and volatile customer demands, the production adaptability is crucial for a company's profitability and competitiveness. The ability to cope with rapidly changing customer requirements and unexpected internal and external events guarantees robust and efficient production processes, requiring a dedicated control concept at the shop floor level. Yet in today's practice, conventional control approaches remain in use, which may not keep up with the dynamic behaviour due to their scenario-specific and rigid properties. To address this challenge, deep learning methods were increasingly deployed due to their optimization and scalability properties. However, these approaches were often tested in specific operational applications and focused on technical performance indicators such as order tardiness or total throughput. In this paper, we propose a deep reinforcement learning based production control to optimize combined techno-financial performance measures. Based on pre-defined manufacturing modules that are supplied and operated by multiple agents, positive effects were observed in terms of increased revenue and reduced penalties due to lower throughput times and fewer delayed products. The combined modular and multi-staged approach as well as the distributed decision-making further leverage scalability and transferability to other scenarios.
Social media constitute an important arena for public debates and steady interchange of issues relevant to society. To boost their reputation, commercial organizations also engage in political, social, or environmental debates on social media. To engage in this type of digital activism, organizations increasingly utilize the social media profiles of executive employees and other brand ambassadors. However, the relationship between brand ambassadors’ digital activism and corporate reputation is only vaguely understood. The results of a qualitative inquiry suggest that digital activism via brand ambassadors can be risky (e.g., creating additional surface for firestorms, financial loss) and rewarding (e.g., emitting authenticity, employing ‘megaphones’ for industry change) at the same time. The paper informs both scholarship and practitioners about strategic trade-offs that need to be considered when employing brand ambassadors for digital activism.
Breaking down barriers
(2024)
Many researchers hesitate to provide full access to their datasets due to a lack of knowledge about research data management (RDM) tools and perceived fears, such as losing the value of one's own data. Existing tools and approaches often do not take into account these fears and missing knowledge. In this study, we examined how conversational agents (CAs) can provide a natural way of guidance through RDM processes and nudge researchers towards more data sharing. This work offers an online experiment in which researchers interacted with a CA on a self-developed RDM platform and a survey on participants’ data sharing behavior. Our findings indicate that the presence of a guiding and enlightening CA on an RDM platform has a constructive influence on both the intention to share data and the actual behavior of data sharing. Notably, individual factors do not appear to impede or hinder this effect.