Innovation Through Information Systems

Volume II: A Collection of Latest Research on Technology Issues

Häftad, Engelska, 2021

AvFrederik Ahlemann,Reinhard Schütte,Stefan Stieglitz,Reinhard Schutte

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This book presents the current state of research in information systems and digital transformation. 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.

Produktinformation

Utgivningsdatum2021-10-16
Mått155 x 235 x 43 mm
Vikt1 183 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Information Systems and Organisation
Antal sidor773
Upplaga21001
FörlagSpringer Nature Switzerland AG
ISBN9783030867966

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
E-handel inom Ekonomi och ledarskap
Affärsapplikationer inom Data och it
Affärsförhandlingar inom Ekonomi och ledarskap
Programvaruutveckling inom Data och it
Tillämpad datateknik inom Data och it

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.

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.