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Record Nr. |
UNINA9911034569903321 |
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Autore |
Becker Judith |
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Titolo |
Apotheke 4.0 – Digitale Transformation der Vor-Ort-Apotheken : Eine empirische Analyse der Digitalisierungsakzeptanz und deren Einflussfaktoren / / von Judith Becker |
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Pubbl/distr/stampa |
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Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer VS, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (XX, 411 S. 55 Abb., 8 Abb. in Farbe.) |
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Collana |
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Social Science and Law (German Language) Series |
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Disciplina |
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Soggetti |
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Social medicine |
Technology - Sociological aspects |
Health, Medicine and Society |
Science, Technology and Society |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Einleitung -- Vor-Ort-Apotheken im Fokus der Forschung -- Die Vor-Ort-Apotheke als Organisation und ihre Akteure -- Vor-Ort-Apotheken aus professionssoziologischer Sicht -- Aktuelle Herausforderungen für Vor-Ort-Apotheken -- Apotheke 4.0 – Digitale Transformation der Vor-Ort-Apotheken -- Akzeptanz der digitalen Transformation – Theoretische Modelle -- Empirie -- Zusammenfassung und Ausblick -- Literaturverzeichnis. |
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Dieses Open-Access-Buch richtet den Fokus auf die digitale Transformation der Vor-Ort-Apotheken in Deutschland. Die Digitalisierung verändert das Gesundheitssystem grundlegend. Die Autorin beleuchtet die Perspektiven der Apothekenmitarbeiter*innen: Wie erleben sie den digitalen Wandel? Welche Faktoren beeinflussen die Akzeptanz neuer Technologien, z. B. die Einführung des E-Rezepts? Und wie unterscheiden sich die Einstellungen zwischen Apotheker*innen, PTA und PKA? Im Zentrum der Untersuchung steht das eigens entwickelte Digitalisierungsakzeptanzmodell (DiTAM), welches professionssoziologische Ansätze mit der Technikakzeptanzforschung verbindet. Auf Basis eines Mixed-Methods-Designs mit Interviews und einer quantitativen Vollerhebung |
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in einer deutschen Großstadt zeigt die Studie: Digitale Tools, die zur Professionalisierung beitragen, stoßen auf hohe Zustimmung – insbesondere bei Apotheker*innen. Maßnahmen hingegen, die als Einschränkung professioneller Autonomie wahrgenommen werden, finden deutlich weniger Akzeptanz. Die Ergebnisse liefern nicht nur wichtige Impulse für die sozialwissenschaftliche Forschung, sondern auch konkrete Handlungsempfehlungen für Politik, Berufsverbände und Apothekeninhaber*innen, um die digitale Transformation in der Praxis erfolgreich zu gestalten. Die Autorin Judith Becker ist Apothekerin und Sozialwissenschaftlerin. Am Lehrstuhl für Arbeits- und Organisationssoziologie der TU Dortmund forscht sie zur digitalen Transformation des Gesundheitssystems. |
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2. |
Record Nr. |
UNINA9910760294003321 |
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Autore |
Zhao Feng |
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Titolo |
AI-generated Content : First International Conference, AIGC 2023, Shanghai, China, August 25–26, 2023, Revised Selected Papers / / edited by Feng Zhao, Duoqian Miao |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (377 pages) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 1946 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Natural language processing (Computer science) |
Computer graphics |
Machine learning |
Artificial Intelligence |
Natural Language Processing (NLP) |
Computer Graphics |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Automatic Multilingual Question Generation for Health Data using LLMs -- DSEN: A Distance-based Semantic Enhancement Neural Network for Pronoun Anaphora Resolution -- Inheritance and Revitalization: Exploring the Synergy Between AIGC Technologies and Chinese Traditional Culture -- Strong-AI Autoepistemic Robots Build on Intensional First Order Logic -- Divide and Control: Generation of Multiple Component Comic Illustrations with Diffusion Models based on Regression -- Enhancing EFL Vocabulary Acquisition Through Computational Thinking -- Connected-CF2: Learning the Explainability of Graph Neural Network on Counterfactual and Factual Reasoning via Connected Component -- Controllable Feature-Preserving Style Transfer -- Data Adaptive Semantic Communication Systems for Intelligent Tasks and Image Transmission -- Generative Artificial Intelligence and Metaverse: Future of Work, Future of Society, and Future of Humanity -- CanFuUI: A Canvas-Centric Web User Interface for Iterative Image Generation with Diffusion Models and ControlNet -- MFAR-VTON:Multi-scale Fabric Adaptive Registration for Image-Based Virtual Try-on -- An Assessment of ChatGPT on Log Data -- DSQA-LLM: Domain-Specific Intelligent Question Answering Based on Large Language Model -- Research on the construction of intelligent customs clearance information system for cross-border road cargo between Guangdong and Hong Kong -- Analyzing Multilingual Automatic Speech Recognition Systems Performance -- Exploring User Acceptance of Al Image Generator: Unveiling Influential Factors in Embracing an Artistic AIGC Software -- File management system based on intelligent technology -- Leveraging Machine Learning for Crime Intent Detection in Social Media Posts -- Generation of Visualized Medical Rehabilitation Exercise Prescriptions with Diffusion Models -- A Literature Analysis of the Application of Artificial Intelligence in Judicial Adjudication -- Overlapping Fingerprint Segmentation and Separation Based on Deep Learning -- Artificial Intelligence for Text Generation: An Intellectual Property Perspective -- Generative Artificial Intelligence Upgrading Design of TCM Medical Diagnosis System Integration Platform -- Convolutional Neural Network (CNN) to reduce construction loss in JPEG compres-sion caused by Discrete Fourier Transform (DFT) -- Research on rural feature classification based on Improved U-net for UAV Remote Sensing Images -- Exploring the Intersection of Complex Aesthetics and Generative AI for Promoting Cultural Creativity in Rural China after the Post-Pandemic Era -- Fingerprint Image Enhancement Method based on U-Net Model -- Applications and implication of Generative AI in Non-STEM disciplines in Higher Education -- Industry 4.0 technology-supported framework for sustainable supply chain management in the textile industry. . |
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Sommario/riassunto |
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This book constitutes the revised selected papers of the First International Conference, AIGC 2023, held in Shanghai, China, during August 25–26, 2023 The 30 full papers included in this volume were carefully reviewed and selected from 62 submissions. The volume focuses on the remarkable strides that have been made in the realm of artificial intelligence and its transformative impact on content creation. As delving into the content of the proceedings, the readers will encounter cutting-edge research findings, innovative applications, and thought-provoking insights that underscore the transformative potential of AI-generated content. |
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