Abstract
Design Science Research (DSR) methods are much debated by the IS community with regard to outcome and research process. This debate creates ambiguity for the novice researchers in terms of selecting appropriate DSR methods. To address this ambiguity, this essay proposes a framework for classifying the DSR methods by providing conceptual clarity about DSR outcome and DSR research process. The proposed framework creates a taxonomy differentiating between outcomes as a priori formulated or emergent through contextual interaction, likewise, viewing the research process as deductive or abductive. The taxonomy provides guidance to the researchers before embarking any DSR projects. The essay contributes to the on-going discussion on utilization of the DSR methods in DSR projects.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
March, S.T., Smith, G.F.: Design and natural science research on information technology. Decision Support Systems 15(4), 251–266 (1995)
Walls, J., Widmeyer, G., El Sawy, O.: Building an information systems theory for vigilant EIS. Information Systems Research 3(1), 36–59 (1992)
Hevner, A.R., et al.: Design Science in Information Systems Research. In: MIS Quarterly 2004. MIS Quarterly & The Society for Information Management, pp. 75–105 (2004)
Livari, J.: A Paradigmatic Analysis of Information Systems As a Design Science. Scandinavian Journal of Information Systems 19(2), 39–64 (2007)
Sein, M.K., et al.: Action Design Research. MIS Quarterly 35(1), 19 (2011)
Alturki, A., Gable, G., Bandara, W.: A design science research roadmap. Service-Oriented Perspectives in Design Science Research, 107–123 (2011)
Aanestad, M.: What If Design Is Something Else: The Challenges of Dealing with Interdependencies. In: Keller, C., Wiberg, M., Ågerfalk, P.J., Eriksson Lundström, J.S.Z., et al. (eds.) SCIS 2012. LNBIP, vol. 124, pp. 95–108. Springer, Heidelberg (2012)
Peffer, K., et al.: A Design Science Research Methodology for Information Systems Research. Journal of Management Information Systems 24(3), 45–77 (2007)
Van de Ven, A.: Engaged Scholarship: Creating Knowledge for Science and Practice. Oxford University Press, New York (2007)
Baskerville, R., Wood-Harper, A.T.: Diversity in Information Systems Research Methods. European Journal of Information Systems 7(2), 17 (1998)
Mårtensson, P., Lee, A.: Dialogical Action Research at Omega Corporation. MIS Quarterly 28(3), 29 (2004)
Pries-Heje, J., Baskerville, R., Venable, J.R.: Strategies for Design Science Research Evaluation. In: ECIS 2008 Proceedings (2008)
Hirschheim, R., Klein, H.K.: Four paradigms of information systems development. Communications of the ACM 32(10), 1199–1216 (1989)
Fischer, C., Gregor, S.: Forms of reasoning in the design science research process. In: Jain, H., Sinha, A.P., Vitharana, P. (eds.) DESRIST 2011. LNCS, vol. 6629, pp. 17–31. Springer, Heidelberg (2011)
Fölstad, A.: Towards a Living Lab For the Development of Online Community Services. The Electronic Journal for Virtual Organizations and Networks 10(Special Issue in Living Labs) (2008)
Bergvall-Kareborn, B., Hoist, M., Stahlbrost, A.: Concept Design with a Living Lab Approach. In: System Sciences, in 42nd Hawaii International Conference on HICSS 2009 (2009)
Venable, J., Pries-Heje, J., Baskerville, R.: A comprehensive framework for evaluation in design science research. In: Peffers, K., Rothenberger, M., Kuechler, B. (eds.) DESRIST 2012. LNCS, vol. 7286, pp. 423–438. Springer, Heidelberg (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Harnesk, D., Thapa, D. (2013). A Framework for Classifying Design Research Methods. In: vom Brocke, J., Hekkala, R., Ram, S., Rossi, M. (eds) Design Science at the Intersection of Physical and Virtual Design. DESRIST 2013. Lecture Notes in Computer Science, vol 7939. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38827-9_40
Download citation
DOI: https://doi.org/10.1007/978-3-642-38827-9_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38826-2
Online ISBN: 978-3-642-38827-9
eBook Packages: Computer ScienceComputer Science (R0)