Skip to main content

2017 | Buch

Neuroscience in Information Systems Research

Applying Knowledge of Brain Functionality Without Neuroscience Tools

insite
SUCHEN

Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter

Applying Knowledge of Brain Functionality Without Neuroscience Tools: The Approach

Frontmatter
Chapter 1. Introduction
Abstract
Although information systems (IS) scholars have been applying neurophysiological tools for decades, a renewed call for drawing on the brain sciences as a reference discipline for the IS field took place in December 2007, at the International Conference on Information Systems (ICIS) and at two pre-ICIS meetings (see Riedl and Léger 2016, p. 73, for details on the genesis of NeuroIS). Angelika Dimoka, Paul A. Pavlou, and Fred D. Davis coined the term NeuroIS.
René Riedl, Fred D. Davis, Rajiv D. Banker, Peter H. Kenning
Chapter 2. Knowledge Production in Cognitive Neuroscience: Tests of Association, Necessity, and Sufficiency
Abstract
While all domains in neuroscience might be relevant for NeuroIS research to some degree, the field of cognitive neuroscience has been identified as the major reference discipline (e.g., Dimoka et al. 2011).
René Riedl, Fred D. Davis, Rajiv D. Banker, Peter H. Kenning
Chapter 3. Applying Knowledge of Brain Functionality Without Neuroscience Tools: Three Example Studies and Abstraction of the Underlying Logic
Abstract
The main question addressed in this book is how IS scholars can apply neuroscience knowledge to advance IS research without necessarily using neuroscience tools.
René Riedl, Fred D. Davis, Rajiv D. Banker, Peter H. Kenning
Chapter 4. Notes on the Application of the Approach
Abstract
Application of our approach implies identification, processing, and use of neuroscience knowledge. In particular, the IS researcher must acquire knowledge on the neural correlates of the constructs of his or her study.
René Riedl, Fred D. Davis, Rajiv D. Banker, Peter H. Kenning
Chapter 5. Conclusion
Abstract
The field of NeuroIS has made advancements during the recent past.
René Riedl, Fred D. Davis, Rajiv D. Banker, Peter H. Kenning

Appendix

Frontmatter
6. Appendix A: Review of Empirical NeuroIS Literature
Abstract
To identify empirical NeuroIS papers published in peer-reviewed journals, we searched for articles via WEB OF KNOWLEDGESM (June 30, 2015). Specifically, we searched for “NeuroIS” based on the constraint <TOPIC>.
René Riedl, Fred D. Davis, Rajiv D. Banker, Peter H. Kenning
Chapter 7. Appendix B: Major Statements in the NeuroIS Literature on the Importance of Cognitive Neuroscience Knowledge Acquisition
Abstract
In the following, we present major statements in the NeuroIS literature on the importance of becoming familiar with the neuroscience literature in a given study context and the application of neuroscience knowledge in IS research without necessarily using neuroscience tools.
René Riedl, Fred D. Davis, Rajiv D. Banker, Peter H. Kenning
Chapter 8. Appendix C: Conceptual Description of Basic Brain Functioning from a Cognitive Neuroscience Perspective
Abstract
Throughout the history of cognitive neuroscience, there has been an ongoing debate as to whether a mental process (e.g., trust) is localized in a discrete brain region or whether it is represented by a distributed network of brain regions.
René Riedl, Fred D. Davis, Rajiv D. Banker, Peter H. Kenning
Chapter 9. Appendix D: Description of Background Information on Online Trust
Abstract
First, two studies (Sidorova et al. 2008; Steininger et al. 2009) identified trust as one of the major topics in both North American and European IS research. Sidorova et al. (2008), investigating the intellectual core of the IS discipline, analyzed 1615 abstracts of articles published in three North American IS journals from 1985 to 2006, and found that trust is among the most important research topics in the time period 2002–2006, thereby demonstrating that the topic is up-to-date.
René Riedl, Fred D. Davis, Rajiv D. Banker, Peter H. Kenning
Metadaten
Titel
Neuroscience in Information Systems Research
verfasst von
René Riedl
Fred D. Davis
Rajiv Banker
Peter H. Kenning
Copyright-Jahr
2017
Electronic ISBN
978-3-319-48755-7
Print ISBN
978-3-319-48754-0
DOI
https://doi.org/10.1007/978-3-319-48755-7