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.

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.