Frederik Ahlemann & Reinhard Schütte 
Innovation Through Information Systems [PDF ebook] 
Volume II: A Collection of Latest Research on Technology Issues

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.

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.