TRACK

TRACK

TRACK 24

Research Methods and Philosophy
The Information System (IS) community has witnessed an upsurge of interest in methodological and theoretical developments across multiple disciplines. The Research Methods and Philosophy track provides a forum for the dissemination of knowledge supporting the advancement of research methods relevant to the IS research. Theoretical and empirical studies that inform IS researchers about methodological issues will help us better understand where gaps exist and how to systematically develop the appropriate application of research methods to overcome the existing gaps.

 

We welcome submissions that address qualitative and quantitative methodological topics involved in designing, conducting, analyzing, and interpreting research. Efforts on identifying measurement issues and exploring relevant philosophy of science topics are welcome. We highly appreciate innovative research methods with roots from other disciplines that make innovative use of current research methods by applying or integrating them to new IS research topics. We also welcome papers that constructively critique existing methodological approaches, as well as insightfully discuss the usefulness of analytic approaches.
 

We cordially invite original submissions that enrich and advance research methods with a particular emphasis on method application in IS research.
 

Topics of interest include, but are not limited to:
Philosophy of information and technology
Paradigms and design of IS research
Theoretical analyses of emerging issues and controversies to IS research
Quantitative, qualitative or hybrid method applied to IS research
Critical evaluation of IS research methods and techniques
New methodological approaches of quantitative and qualitative research
Qualitative method to create native IS theories
Grounded theory research
Action research
Epistemological and ontological approaches
Quantitative technology and tools
Sampling, data collections and data archiving (e.g., open source web crawlers for data mining)
Quantitative or qualitative digital research (e.g., CATA or computer-assisted qualitative analysis)
Innovative research design in quantitative, qualitative or hybrid method

 

Track Co-Chairs:
Jacob C. Tsai, Assistant Professor, Department of Information Management, National Yunlin University of Science and Technology, Taiwan, jtsai@yuntech.edu.tw
Maxwell K. Hsu, Professor, Department of Marketing, University of Wisconsin-Whitewater, USA, hsum@uww.edu
Dennis Kopf, Associate Professor, Department of Marketing, University of Wisconsin-Whitewater, USA, kopfd@uww.edu

 

Track AEs:
Carol Scovotti, Professor, University of Wisconsin-Whitewater, USA, scovottc@uww.edu
Chao Ding, Assistant Professor, the University of Hong Kong, Hong Kong, cgao.ding@hku.hk
Chih-Hung Peng, Assistant Professor, City University of Hong Kong, Hong Kong, chpeng@cityu.edu.hk
Christina L. Chang, Professor, National Pingtung University, Taiwan, cchangmis@gmail.com
Christian M. Ringle, Professor, Hamburg University of Technology, Germany, c.ringle@tuhh.de
Jao-Hong Cheng, Professor, National Yunlin University of Science and Technology, Taiwan, jhcheng@yuntech.edu.tw
Jörg Henseler, Professor, University of Twente, Netherlands, J.Henseler@utwente.nl
MarcoWolf, Associate Professor, University of Southern Mississippi, USA, marco.wolf@usm.edu
Miguel Ignacio Aguirre-Urreta, Assistant Professor, Texas Tech University, USA, miguel.aguirre-urreta@ttu.edu
Roger Yin, Professor, University of Wisconsin-Whitewater, USA, yinl@uww.edu
Tsai-Hsin Chu, Professor, National Chiayi University, Taiwan, thchu@mail.ncyu.edu.tw
Tuan Q. Phan, Assistant Professor, National University of Singapore, Singapore, phantq@comp.nus.edu.sg
Weiling Zhuang, Associate Professor, Eastern Kentucky University, USA, Weiling.Zhuang@eku.edu

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