Neuroscience in Information Systems Research

Applying Knowledge of Brain Functionality Without Neuroscience Tools

Nonfiction, Computers, Application Software, Business Software, Internet, Business & Finance
Cover of the book Neuroscience in Information Systems Research by René Riedl, Fred D. Davis, Rajiv Banker, Peter H. Kenning, Springer International Publishing
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Author: René Riedl, Fred D. Davis, Rajiv Banker, Peter H. Kenning ISBN: 9783319487557
Publisher: Springer International Publishing Publication: January 25, 2017
Imprint: Springer Language: English
Author: René Riedl, Fred D. Davis, Rajiv Banker, Peter H. Kenning
ISBN: 9783319487557
Publisher: Springer International Publishing
Publication: January 25, 2017
Imprint: Springer
Language: English

This book shows how information systems (IS) scholars can effectively apply neuroscience expertise in ways that do not require neuroscience tools. However, the approach described here is intended to complement neuroscience tools, not to supplant them. Written by leading scholars in the field, it presents a review of the empirical literature on NeuroIS and provides a conceptual description of basic brain function from a cognitive neuroscience perspective. Drawing upon the cognitive neuroscience knowledge developed in non-IS contexts, the book enables IS scholars to reinterpret existing behavioral findings, develop new hypotheses and eventually test the hypotheses with non-neuroscience tools. At its core, the book conveys how neuroscience knowledge makes a deeper understanding of IS phenomena possible by connecting the behavioral and neural levels of analysis. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book shows how information systems (IS) scholars can effectively apply neuroscience expertise in ways that do not require neuroscience tools. However, the approach described here is intended to complement neuroscience tools, not to supplant them. Written by leading scholars in the field, it presents a review of the empirical literature on NeuroIS and provides a conceptual description of basic brain function from a cognitive neuroscience perspective. Drawing upon the cognitive neuroscience knowledge developed in non-IS contexts, the book enables IS scholars to reinterpret existing behavioral findings, develop new hypotheses and eventually test the hypotheses with non-neuroscience tools. At its core, the book conveys how neuroscience knowledge makes a deeper understanding of IS phenomena possible by connecting the behavioral and neural levels of analysis. 

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