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2016 | Buch

Fundamentals of NeuroIS

Information Systems and the Brain

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SUCHEN

Über dieses Buch

This authored volume presents the fundamentals of NeuroIS, which is an emerging subfield within the Information Systems discipline that makes use of neuroscience and neurophysiological tools and knowledge to better understand the development, use, and impact of information and communication technologies. This book is an initial guide to this new research domain. The target audience primarily comprises PhD students and researchers, but the book may also be beneficial for graduate students and practitioners.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction to NeuroIS
Abstract
This chapter provides an introduction to Neuro-Information-Systems (NeuroIS). Building from a brief reflection on the nature of IS research, the chapter begins with a description of relevant historical developments in brain research. An overview of the reference disciplines of NeuroIS follows, including research fields such as neuropsychology, cognitive neuroscience, neuroeconomics, and affective computing, as well as disciplines that provide more fundamental knowledge, such as biology, medicine, engineering, and computer science. Next, this chapter answers the question of why NeuroIS is important for IS research by discussing ten major contributions that neuroscience makes to IS research. Through this discussion, the potential of NeuroIS for both fundamental research (e.g., theory test) and applied research (e.g., systems design) becomes evident. We close this chapter with a comment on expectations for the future of the NeuroIS field.
René Riedl, Pierre-Majorique Léger
Chapter 2. A Primer on Neurobiology and the Brain for Information Systems Scholars
Abstract
This chapter provides an introduction to neurobiology and the brain. Specifically, it summarizes basic knowledge on human physiology for IS researchers who want to become familiar with basic concepts and mechanisms from neurobiology and neuroscience. We start with a description of fundamental concepts in genetics. A description of the human nervous system follows, including an account of the major components and basic functioning of the nervous system. Next, we discuss the human brain. Specifically, we outline important brain structures along with their major functions. We also summarize basic terminology used in neuroscience to describe locations in the brain. Due to its usefulness for IS research, this contribution also describes fundamentals of the structure and functioning of the autonomic nervous system. We close the chapter with a brief reflection on brain plasticity.
René Riedl, Pierre-Majorique Léger
Chapter 3. Tools in NeuroIS Research: An Overview
Abstract
This chapter provides an introduction into neurophysiological tools that we consider to be relevant in IS research. We focus on tools that have been used in NeuroIS research or that hold use potential for future studies. Specifically, we discuss measurement of the central nervous system (fMRI, MRI, fNIRS, EEG), measurement of the peripheral nervous system (electrocardiogram, galvanometer, electromyography, oculometry), and measurement of the hormone system (e.g., cortisol, adrenaline, oxytocin). We outline the major advantages and disadvantages of each tool, and provide an example research study to give an authentic impression of each tool in the context of IS research.
René Riedl, Pierre-Majorique Léger
Chapter 4. Topics in NeuroIS and a Taxonomy of Neuroscience Theories in NeuroIS
Abstract
This chapter provides a publications retrospective of NeuroIS topics, and outlines potential themes for future NeuroIS studies. We begin with a description of topics from 2007 NeuroIS publications, and then, based on research agendas and discussion papers, we present topics that can be investigated by applying neuroscience approaches. Next, we analyze the topics of one specific publication—the proceedings of the Gmunden Retreat on NeuroIS. Our identification of the research topics, and the neuroscience methods and tools presented in the proceedings, is based on analysis of 85 papers published between 2011 and 2014. We end the chapter by reflecting on applying neuroscience reference theories in NeuroIS research. Because current NeuroIS research rarely addresses the use of reference theories from neuroscience, this chapter suggests a taxonomy for neuroscience theories to promote such a discourse in NeuroIS research.
René Riedl, Pierre-Majorique Léger
Chapter 5. Establishing and Operating a NeuroIS Lab
Abstract
The objective of this chapter is to provide practical recommendations on how to establish and operate a NeuroIS lab. Drawing on the experience of the authors, we provide recommendations on the setting of the experimental rooms, measurement equipment, software, and consumables. Moreover, we suggest sources of information where IS researchers could learn about neurophysiological measurement instruments and establish contacts with vendors of such instruments. Also, we provide practical advice on how to efficiently operate a NeuroIS lab. Illustrations from the Tech3Lab, HEC Montréal, are used to outline the specificity of a NeuroIS lab. We emphasize that the type of lab we discuss in this chapter is one with neurophysiological measurement instruments, and hence we do not focus on labs with magnetic resonance imaging (MRI) or similar technologies.
René Riedl, Pierre-Majorique Léger
Metadaten
Titel
Fundamentals of NeuroIS
verfasst von
René Riedl
Pierre-Majorique Léger
Copyright-Jahr
2016
Verlag
Springer Berlin Heidelberg
Electronic ISBN
978-3-662-45091-8
Print ISBN
978-3-662-45090-1
DOI
https://doi.org/10.1007/978-3-662-45091-8

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