Innovation Through Information Systems: Volume III: A Collection of Latest Research on Management Issues

Innovation Through Information Systems: Volume III: A Collection of Latest Research on Management Issues

Innovation Through Information Systems: Volume III: A Collection of Latest Research on Management Issues

Innovation Through Information Systems: Volume III: A Collection of Latest Research on Management Issues

eBook1st ed. 2021 (1st ed. 2021)

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Overview

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 "Management" presented at the International Conference on Information Systems, held at the University of Duisburg-Essen in 2021.


Product Details

ISBN-13: 9783030868000
Publisher: Springer-Verlag New York, LLC
Publication date: 10/28/2021
Series: Lecture Notes in Information Systems and Organisation , #48
Sold by: Barnes & Noble
Format: eBook
File size: 39 MB
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About the Author

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.

Table of Contents

Data Management and Data Ecosystems.- Data Source Selection Support in the Big Data Integration Process - Towards a Taxonomy.- Permissioned Blockchain for Data Provenance in Scientific Data Management.- Quantity over Quality? – A Framework for Combining Mobile Crowd Sensing and High Quality Sensing.- Decentralized and Microservice-oriented Data Integration for External Data Sources.- Digital Credentials in Higher Education Institutions: A Literature Review.- A Theory-Driven Design Science Research Agenda Towards Gamified Videos in Learning.- A Methodology to enhance Learning Processes with Augmented Reality Glasses.- Developing Digitalization Mindset and Capabilities: Preliminary Results of an Action Research Study.- Digital Transformation&Business Models.
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