Information Systems and Neuroscience: NeuroIS Retreat 2019: 32 (Lecture Notes in Information Systems and Organisation) - Softcover

 
9783030281434: Information Systems and Neuroscience: NeuroIS Retreat 2019: 32 (Lecture Notes in Information Systems and Organisation)

Inhaltsangabe

This book presents the proceedings of the NeuroIS Retreat 2019, held on June 4–6 in Vienna, Austria, reporting on topics at the intersection of information systems (IS) research, neurophysiology and the brain sciences. Featuring the latest findings from top scholars in the field, it offers detailed insights into the neurobiology underlying IS behavior, essential methods and tools and their applications for IS, as well as applying neuroscience and neurophysiological to advance IS theory.

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Über die Autorin bzw. den Autor

Fred D. Davis is a Professor and Bobby G. Stevenson Chair in Information Technology at Texas Tech University.

 

René Riedl is a Professor for Digital Business and Innovation at the University of Applied Sciences Upper Austria and an Associate Professor for Business Informatics at the University of Linz.

 

Jan vom Brocke is a Professor for Information Systems at the University of Liechtenstein, Hilti Chair of Business Process Management, and Director of the Institute of Information Systems.

 

Pierre-Majorique Léger is a Professor in the Department of Information Technologies at HEC Montréal, Director of the ERPsim Lab and Co-director of the Tech3Lab.

 

Adriane B. Randolph is a Professor of Information Systems in the Michael J. Coles College of Business at Kennesaw State University (KSU) and Executive Director of the KSU BrainLab.

 

Thomas Fischer is a researcher in Information Systems at the Department for Digital Business at the University of Applied Sciences Upper Austria.

Von der hinteren Coverseite

This book presents the proceedings of the NeuroIS Retreat 2019, held on June 4–6 in Vienna, Austria, reporting on topics at the intersection of information systems (IS) research, neurophysiology and the brain sciences. Featuring the latest findings from top scholars in the field, it offers detailed insights into the neurobiology underlying IS behavior, essential methods and tools and their applications for IS, as well as applying neuroscience and neurophysiological to advance IS theory.

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