Dornberger | New Trends in Business Information Systems and Technology | Buch | 978-3-030-48331-9 | sack.de

Buch, Englisch, Band 294, 327 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 676 g

Reihe: Studies in Systems, Decision and Control

Dornberger

New Trends in Business Information Systems and Technology

Digital Innovation and Digital Business Transformation
1. Auflage 2021
ISBN: 978-3-030-48331-9
Verlag: Springer International Publishing

Digital Innovation and Digital Business Transformation

Buch, Englisch, Band 294, 327 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 676 g

Reihe: Studies in Systems, Decision and Control

ISBN: 978-3-030-48331-9
Verlag: Springer International Publishing


This book presents selected examples of digitalization in the age of digital change. It is divided into two sections: “Digital Innovation,” which features new technologies that stimulate and enable new business opportunities; and “Digital Business Transformation,” comprising business and management concepts that employ specific technological solutions for their practical implementation. Combining new insights from research, teaching and management, including digital transformation, e-business, knowledge representation, human-computer interaction, and business optimization, the book highlights the breadth of research as well as its meaningful and relevant transfer into practice. It is intended for academics seeking inspiration, as well as for leaders wanting to tap the potential of the latest trends to take society and their business to the next level.
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Research


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Weitere Infos & Material


Digital Innovation and Digital Business Transformation in the Age of Digital Change.- A Survey of State of the Art Methods Employed in the O?ine Signature Veri?cation Process.- Agile Visualization in Design Thinking.- Text Mining Innovation for Business.- Using Mobile Sensing on Smartphones for the Management of Daily Life Tasks.- A Dialog-Based Tutoring System for Project-Based Learning in Information Systems Education.- A Human Aptitude Test for Object-Oriented Programming in the Context of AI and Machine Learning.- Adapting the Teaching of Computational Intelligence Techniques for Improving the Learning Outcomes.- Automatic Programming of Cellular Automata and Arti?cial Neural Networks Guided by Philosophy.- Facial Recognition and Pathfinding on the Humanoid Robot Pepper as a Starting Point for Social Interaction.



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