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Are design methods rigorous
enough for academic research?
Dr. Martina Čaić, Aalto University, Finland; Karlstad University, Sweden
Ana Kustrak Korper, Linköping Univeersity, Sweden
Prof. Dr. Dominik Mahr, Maastricht University, The Netherlands
The speakers
Ana Kustrak Korper
PhD candidate
Department of
Computer and
Information Science
Linköping University
(Sweden)
Martina Čaić
Post-doctoral
researcher
Aalto School of Arts,
Design and
Architecture (Finland);
Karlstad University
(Sweden)
Dominik Mahr
Professor Digital
Innovation and
Marketing, Maastricht
University, Service
Science Factory (the
Netherlands)
Getting
reviewers’
comments
Reviewer 2:
Better introduce and explain the methodology.
A novel (and appropriate) methodology with
externally valid data are the strengths of the
paper. Since the methodology is novel, it needs
to be explained better as to why a four-step
procedure is required, rigorous, and is deemed
appropriate.
- Added figures/ details on the method could be
provided in web-based supplementary files.
Scientific rigor
• Rigor is simply defined as the quality or state of being very
exact, careful, or with strict precision or the quality of being
thorough, careful, and accurate.
• researcher should be adhering to a set criteria for rigor
during the research process and data analysis.
• Trustworthiness is considered a more appropriate criterion
for evaluating qualitative studies.
• Reliability - the extent to which the
outcomes are consistent when the research
is repeated under the same conditions
• Validity - the ability of an instrument to
measure what it is intended to measure
• Internal - how well a study can rule
out alternative explanations for its
findings
• External - the extent to which results
can justify conclusions about other
contexts
Quantitative research Qualitative research
• Credibility - ensures the study measures
what is intended and is a true reflection of
the social reality of the participants
• Transferability - the ability of the findings
to be transferred to other contexts or
settings
• Dependability - ensures the process is
described in sufficient detail to facilitate
another researcher to repeat the work
• Confirmability - the goal is to minimize
investigator bias by acknowledging
researcher predispositions
Rigor vs. Trustworthiness
Guba and Lincoln (1989)
Reliability
Validity
Internal
External
Credibility
Transferability
Dependability
Confirmability
Service Design
Research in
service design
Service
research
Marketing
Information
systems
Design
Management
Adapted from: Joly et al., (2019)
Multidisicplinarity of SD
Traditional qualitative methods Mack (2005)
Focus group
In-depth interview
Participant observations
There is a need for knowledge
building within service research that is
more dynamic and dialogic.
Tronvoll et al. (2011)
Methods to be discussed
1. RESEARCH THROUGH DESIGN
2. DESIGN SCIENCE RESEARCH
3. CASE STUDY METHODOLOGY
Research on design
Research for design
Research through design
Adapted from Frayling (1993)
Research through design is an approach to
scientific inquiry that draws on the unique insights
gained through design practice to better understand
complex, situated processes of change.
Design Science Research
DSR supports the development of valid
and relevant knowledge that can
directly or indirectly support managers'
problem-solving efforts while urging
scholars away from the “ivory tower”
towards research with increased
relevance (Van Aken et al. 2016)
Design Science
Research
Information systems
research
Design Science Research
• conceptual, descriptive, prescriptive
Knowledge type
• artifacts “are evaluated with respect to the utility provided in solving […] problems”
(Hevner et al. 2004)
Pragmatic outlook
• development and performance in design artifacts with the intention of improving
the functionality and value of the existing systems
Focus
Design Science Research cycles
Case study methodology
• anthropology, psychology, education, political science, management
Common in social sciences
• real-life context; theory development
Investigates phenomenon in-depth and up-close
• quantitative or qualitative data; triangulation
Uses different types of data
Case study methodology
Yin (2003)
Service design has the story and needs to
communicate it convincingly!
Publishing Research: Communicate design standards and rigor to other audiences
Expert Research Panel Co-Chairs – Service Design of the Journal Service Management
Service design education: Inspire students to think differently
Teaching Service Design in Masters’ and Bachelors’ programmes
Doing service design: Innovate with and for humans
Scientific Director of the Service Science Factory, Maastricht University
Transforming society at large: Think about underlying motivations and reasons
Citizen
Reflection on methods of service design
References
• Frayling, C. (1993). Research in art and design.
• Joly, M. P., Teixeira, J. G., Patrício, L., & Sangiorgi, D. (2019). Leveraging service design as a
multidisciplinary approach to service innovation. Journal of Service Management.
• Guba, E. G., & Lincoln, Y. (1989). Fourth generation evaluation. Newbury Park, CA: Sage.
• Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems
research. MIS quarterly, 75-105.
• Mack, N. (2005). Qualitative research methods: A data collector’s field guide.
• Peffers, K., Tuunanen, T., Rothenberger, M. A., & Chatterjee, S. (2007). A design science research
methodology for information systems research. Journal of management information
systems, 24(3), 45-77.
• Penin, L. (2018). An introduction to service design: designing the invisible. Bloomsbury Publishing.
• Tronvoll, B., Brown, S. W., Gremler, D. D., & Edvardsson, B. (2011). Paradigms in service
research. Journal of Service Management, 22(5), 560-585.
• Yin, R.K. (2003) Applications of Case Study Research, Second Edition, Applied Social Research
Methods Series, Vol. 34, Sage Publication.
Questions?
Ana Kustrak Korper
ana.kustrak.korper@liu.
se
Martina Čaić
martina.caic@aalto.fi
martina.caic@kau.se
Dominik Mahr
d.mahr@maastrichtuniversit
y.nl
Speaker’s contact info

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20200408 payal vaidya panel on acadmic rigor issip april8

  • 1. Are design methods rigorous enough for academic research? Dr. Martina Čaić, Aalto University, Finland; Karlstad University, Sweden Ana Kustrak Korper, Linköping Univeersity, Sweden Prof. Dr. Dominik Mahr, Maastricht University, The Netherlands
  • 2. The speakers Ana Kustrak Korper PhD candidate Department of Computer and Information Science Linköping University (Sweden) Martina Čaić Post-doctoral researcher Aalto School of Arts, Design and Architecture (Finland); Karlstad University (Sweden) Dominik Mahr Professor Digital Innovation and Marketing, Maastricht University, Service Science Factory (the Netherlands)
  • 4. Reviewer 2: Better introduce and explain the methodology. A novel (and appropriate) methodology with externally valid data are the strengths of the paper. Since the methodology is novel, it needs to be explained better as to why a four-step procedure is required, rigorous, and is deemed appropriate. - Added figures/ details on the method could be provided in web-based supplementary files.
  • 5. Scientific rigor • Rigor is simply defined as the quality or state of being very exact, careful, or with strict precision or the quality of being thorough, careful, and accurate. • researcher should be adhering to a set criteria for rigor during the research process and data analysis. • Trustworthiness is considered a more appropriate criterion for evaluating qualitative studies.
  • 6. • Reliability - the extent to which the outcomes are consistent when the research is repeated under the same conditions • Validity - the ability of an instrument to measure what it is intended to measure • Internal - how well a study can rule out alternative explanations for its findings • External - the extent to which results can justify conclusions about other contexts Quantitative research Qualitative research • Credibility - ensures the study measures what is intended and is a true reflection of the social reality of the participants • Transferability - the ability of the findings to be transferred to other contexts or settings • Dependability - ensures the process is described in sufficient detail to facilitate another researcher to repeat the work • Confirmability - the goal is to minimize investigator bias by acknowledging researcher predispositions Rigor vs. Trustworthiness Guba and Lincoln (1989) Reliability Validity Internal External Credibility Transferability Dependability Confirmability
  • 9. Traditional qualitative methods Mack (2005) Focus group In-depth interview Participant observations
  • 10. There is a need for knowledge building within service research that is more dynamic and dialogic. Tronvoll et al. (2011)
  • 11. Methods to be discussed 1. RESEARCH THROUGH DESIGN 2. DESIGN SCIENCE RESEARCH 3. CASE STUDY METHODOLOGY
  • 12. Research on design Research for design Research through design Adapted from Frayling (1993)
  • 13. Research through design is an approach to scientific inquiry that draws on the unique insights gained through design practice to better understand complex, situated processes of change.
  • 14. Design Science Research DSR supports the development of valid and relevant knowledge that can directly or indirectly support managers' problem-solving efforts while urging scholars away from the “ivory tower” towards research with increased relevance (Van Aken et al. 2016) Design Science Research Information systems research
  • 15. Design Science Research • conceptual, descriptive, prescriptive Knowledge type • artifacts “are evaluated with respect to the utility provided in solving […] problems” (Hevner et al. 2004) Pragmatic outlook • development and performance in design artifacts with the intention of improving the functionality and value of the existing systems Focus
  • 17. Case study methodology • anthropology, psychology, education, political science, management Common in social sciences • real-life context; theory development Investigates phenomenon in-depth and up-close • quantitative or qualitative data; triangulation Uses different types of data
  • 19. Service design has the story and needs to communicate it convincingly!
  • 20. Publishing Research: Communicate design standards and rigor to other audiences Expert Research Panel Co-Chairs – Service Design of the Journal Service Management Service design education: Inspire students to think differently Teaching Service Design in Masters’ and Bachelors’ programmes Doing service design: Innovate with and for humans Scientific Director of the Service Science Factory, Maastricht University Transforming society at large: Think about underlying motivations and reasons Citizen Reflection on methods of service design
  • 21. References • Frayling, C. (1993). Research in art and design. • Joly, M. P., Teixeira, J. G., Patrício, L., & Sangiorgi, D. (2019). Leveraging service design as a multidisciplinary approach to service innovation. Journal of Service Management. • Guba, E. G., & Lincoln, Y. (1989). Fourth generation evaluation. Newbury Park, CA: Sage. • Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS quarterly, 75-105. • Mack, N. (2005). Qualitative research methods: A data collector’s field guide. • Peffers, K., Tuunanen, T., Rothenberger, M. A., & Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of management information systems, 24(3), 45-77. • Penin, L. (2018). An introduction to service design: designing the invisible. Bloomsbury Publishing. • Tronvoll, B., Brown, S. W., Gremler, D. D., & Edvardsson, B. (2011). Paradigms in service research. Journal of Service Management, 22(5), 560-585. • Yin, R.K. (2003) Applications of Case Study Research, Second Edition, Applied Social Research Methods Series, Vol. 34, Sage Publication.
  • 23. Ana Kustrak Korper ana.kustrak.korper@liu. se Martina Čaić martina.caic@aalto.fi martina.caic@kau.se Dominik Mahr d.mahr@maastrichtuniversit y.nl Speaker’s contact info