Innovation Through Information Systems

Volume II: A Collection of Latest Research on Technology Issues
1. Auflage 2021
ISBN: 978-3-030-86796-6
Verlag: Springer International Publishing

Buch, Englisch, Band 47, 773 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1183 g

Reihe: Lecture Notes in Information Systems and Organisation

This book presents the current state of research in information systems and digital transformation. Due to the global trend of digitalization and the impact of the Covid 19 pandemic, the need for innovative, high-quality research on information systems is higher than ever. In this context, the book covers a wide range of topics, such as digital innovation, business analytics, artificial intelligence, and IT strategy, which affect companies, individuals, and societies. 

This volume gathers the revised and peer-reviewed papers on the topic "Technology" presented at the International Conference on Information Systems, held at the University of Duisburg-Essen in 2021.

Zielgruppe

Research

Autoren/Hrsg.

Ahlemann, Frederik

Stieglitz, Stefan

Schütte, Reinhard

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management E-Commerce, E-Business, E-Marketing
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Inhaltsverzeichnis

Data Science & Business Analytics.- Information Extraction from Invoices: A Graph Neural Network Approach for Datasets with High Layout Variety.- Knowledge Sharing in Digital Platform Ecosystems – A Textual Analysis of SAP’s Developer Community.- Leveraging Natural Language Processing to Analyze Scientific Content: Proposal of an NLP pipeline for the field of Computer Vision.- Hybrid Recommender Systems for Next Purchase Prediction Based on Optimal Combination Weights.- Towards a Trust-aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism.- A Holistic Framework for AI Systems in Industrial Applications.- Managing Bias in Machine Learning Projects.- Design, Management and Impact of AI-based Systems.- User-specific Determinants of Conversational Agent Usage: A Review and Potential for Future Research.

Über Autor(innen)

Frederik Ahlemann is a Full Professor of Information Systems at the University of Duisburg-Essen, Germany. His research interests are strategic IT management and digital transformation.

Reinhard Schütte is a Full Professor of Information Systems at the University of Duisburg-Essen, Germany. His main research interests are retail and large enterprise systems, digital transformation and philosophy of science.

Stefan Stieglitz is a Full Professor of Information Systems at the University of Duisburg-Essen, Germany. His research is about communication and collaboration technologies, including social media and virtual reality.