Advances in social science research methodologies and data analytic
methods are changing the way research in information systems is
conducted. New developments in statistical software technologies for
data mining (DM) such as regression splines or decision tree induction
can be used to assist researchers in systematic post-positivist theory
testing and development. Established management science techniques like
data envelopment analysis (DEA), and value focused thinking (VFT) can be
used in combination with traditional statistical analysis and data
mining techniques to more effectively explore behavioral questions in
information systems research. As adoption and use of these research
methods expand, there is growing need for a resource book to assist
doctoral students and advanced researchers in understanding their
potential to contribute to a broad range of research problems.
Advances in Research Methods for Information Systems Research: Data
Mining, Data Envelopment Analysis, Value Focused Thinking focuses on
bridging and unifying these three different methodologies in order to
bring them together in a unified volume for the information systems
community. This book serves as a resource that provides overviews on
each method, as well as applications on how they can be employed to
address IS research problems. Its goal is to help researchers in their
continuous efforts to set the pace for having an appropriate interplay
between behavioral research and design science.