Fr. 168.00

Information Systems and Neuroscience - NeuroIS Retreat 2025, Vienna, Austria

Englisch · Taschenbuch

Erscheint am 02.11.2025

Beschreibung

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This book presents the proceedings of the NeuroIS Retreat 2025, May 26 28, Vienna, Austria, reporting on topics at the intersection of information systems (IS) research, neurophysiology, and the brain sciences. Readers discover the latest findings from top scholars in the field of NeuroIS, which offer detailed insights on the neurobiology underlying IS behavior, essential methods and tools, and their applications for IS, as well as the application of neuroscience and neurophysiological theories to advance IS theory.

Über den Autor / die Autorin

Fred D. Davis is Professor and Bobby G. Stevenson Chair in Information Technology at Texas Tech University, Lubbock, Texas, USA.
René Riedl is Professor of Digital Business and Innovation at the University of Applied Sciences Upper Austria and an Associate Professor for Business Informatics at the University of Linz, Austria.
Jan vom Brocke is Professor and Chair of Information Systems & Business Process Management at the University of Münster and Director of ERCIS—The European Research Center for Information Systems, Germany 
Pierre-Majorique Léger is Professor in the Department of Information Technologies at HEC Montréal, Québec, Canada, Director of the ERPsim Lab and Co-Director of the Tech3Lab.
Adriane B. Randolph is Professor of Information Systems in the Michael J. Coles College of Business at Kennesaw State University (KSU), Georgia, USA, and Executive Director of the KSU BrainLab.
Gernot Müller-Putz is Professor of Semantic Data Analysis and Head of the Institute of Neural Engineering and its associated Laboratory of Brain-Computer Interfaces at Graz University of Technoloy, Austria.

Zusammenfassung

This book presents the proceedings of the NeuroIS Retreat 2025, May 26–28, Vienna, Austria, reporting on topics at the intersection of information systems (IS) research, neurophysiology, and the brain sciences. Readers discover the latest findings from top scholars in the field of NeuroIS, which offer detailed insights on the neurobiology underlying IS behavior, essential methods and tools, and their applications for IS, as well as the application of neuroscience and neurophysiological theories to advance IS theory.

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