Jan Schmutz: Katalogdaten im Frühjahrssemester 2016

NameHerr Dr. Jan Schmutz
Adresse
Arbeits-& Organisationspsychologie
ETH Zürich, WEV K 501
Weinbergstr. 56/58
8092 Zürich
SWITZERLAND
E-Mailjschmutz@ethz.ch
DepartementManagement, Technologie und Ökonomie
BeziehungDozent

NummerTitelECTSUmfangDozierende
364-1020-01LMethods in Management Research: Module 1: Methodological Fit in Management Research Information 1 KP1SJ. Schmutz, G. Grote
KurzbeschreibungThis module covers basic issues of study design, such as definition of concepts/variables, choice of data collection and data analysis methods, validity and its limitations, and embedding research in existing paradigms/scientific communities.
LernzielThe module aims to support students in
- understanding the key elements of study design and the choices related to each
- knowing and being able to apply criteria for the validity of empirical research
- discussing methodological issues in relation to their own research
InhaltBasic approaches to empirical inquiry (deduction, induction, abduction) and their relation to methodological perspectives (qualitative, quantitative, mixed) are discussed. Different types of validity of empirical research are introduced and applied to different methods for data collection and analysis. Consideration of levels of analysis and treatment of time are discussed as two additional key requirements in study design. The concepts introduced in the course are applied to pertinent examples of published research.
LiteraturSession 1: Choices in study design and validity criteria
Scandura, T.A. & Williams, E.A. (2000). Research methodology in management: Current practices, trends, and implications for future research. Academy of Management Journal, 43, 1248-1264.
Edmondson, A.C. & McManus, S.E. (2007). Methodological fit in management field reseach. Academy of Management Review, 32, 1155-1179.
Creswell, J.W. (2009). Research design. Qualitative, quantitative and mixed methods approaches. Chap. 10: Mixed methods procedures.
Locke, K., Golden-Biddle, K. & Feldman, M.S. (2008). Making doubt generative: Rethinking the role of doubt in the research process. Organization Science, 19, 907-918.
Barley, S.R. (2006). When I write my masterpiece: Thoughts on what makes a paper interesting. Academy of Management Journal, 49, 16-20.
Zohar, D. & Luria, G. (2010). Group leaders as gatekeepers: testing safety climate variations across levels of analysis. Applied Psychology: An International Review, 59, 647-673. (Example of quantitative research)
Bechky, B.A. & Okhyusen, G.A. (2011). Expecting the unexpected? How SWAT officers and film crews handle surprises. Academy of Management Journal, 54, 239-261. (Example of qualitative research)
Eisenhardt, K.M. & Tabrizi, B.N. (1995). Accelerating adaptive processes: Product innovation in the global computer industry. Administrative Science Quarterly, 40, 84-110. (Example of mixed methods research)

Session 2: Considering levels of analysis and time in study design; Discussion of participants' "model papers"
Klein, K.J. & Kozlowski, S.W.J. (2000). Form Micro to Meso: Critical steps in conceptualizing and conducting multilevel research. Organizational Research Methods, 3, 211-236.
Mitchell, T.R. & James, L.R. (2001). Building better theory: Time and the specification of when things happen. Academy of Management Review, 26, 530-547.
Langley, A. (1999). Strategies for theorizing from process data. Academy of Management Review, 24, 691-710.
Voraussetzungen / BesonderesThere will be three assignments: (1) Prepare a written short summary and moderate discussion on one paper from course readings (in pairs); (2) Prepare short presentation of "model paper" for your own research for general discussion (individually); (3) Read all course papers as basis for discussion in class.