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.
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