René Riedl, University of Applied Sciences Upper Austria (Linz, Autriche)
What every information systems researcher should know about measurement in NeuroIS. Neuro-Information-Systems (NeuroIS) relies on neuroscience and neurophysiological knowledge and tools to better understand the development, use, and impact of information and communication technologies. The genesis of the NeuroIS field took place in 2007. It follows that the NeuroIS field is still in a relatively nascent stage, even though several conceptual and empirical contributions already exist. Importantly, IS scholars need to become familiar with the methods, tools, and measurements that are used in cognitive neuroscience and in related disciplines (e.g., psychophysiology). Based on a higher degree of familiarity, IS researchers (editors, reviewers, and authors) can develop sound methodological knowledge that is necessary to evaluate whether or not a specific method, tool, or measurement is suitable to study a specific IS research question and whether a method or tool is correctly applied. Without such a knowledge base, IS scholars cannot leverage the full potential of neuroscience for IS research. Against this background, and considering that measurement themes have only recently begun to become a major topic in the NeuroIS literature, Dr. Riedl will discuss important aspects related to measurement in NeuroIS.