Abstract
Based on reviewing foremost literature, the paper discusses design science research methodology with strategies for design science evaluation. We have identified an interesting problem that, for certain artefacts, this methodology leads to a recursion effect. Therefore, we propose a conceptual framework for these artefacts, which, once developed, will detail facets of design science methodology for producing abstract design knowledge. The framework aims to fill out the lack of details in design science methodology for development of abstract design knowledge.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Aker, J.F., Chen, M., Purdin, T.D.M.: Systems Development in Information Systems Research. Journal of Management IS 7(3), 89–106 (1991)
Van Aken, J.: Management Research Based on the Paradigm of the Design Sciences: the Quest for Tested and Grounded Technological Rules. Journal of Management Studies 41(2), 219–246 (2004)
Simon, H.: The Sciences of the Artificial, 1st edn. MIT Press, Cambridge (1970)
Van Aken, J.E.: Management Research as a Design Science: Articulating the Research Products of Mode 2 Knowledge Production in Management. British Journal of Management 16(1), 19–36 (2005)
Benbasat, I., Zmud, R.W.: Empirical Research in Information Systems- The Practice of Relevance. MIS Quarterly 23(1), 3–36 (1999)
Hevner, A.R., March, S.T., Park, J., Ram, S.: Design Science in Information Systems Research. MIS Quarterly 28, 75–106 (2004)
Rosemann, M., Vessey, I.: Toward Improving the Relevance of Information Systems Research to Practice: The Role of Applicability Checks. MIS Quarterly 32(1), 1–22 (2008)
Archer, L.B.: Systematic Method for Designers. In: Developments in Design Methodology, London, pp. 57–82 (1984)
Eekels, J., Roozenburg, N.F.M.: A Methodological Comparison of the Structures of Scientific Research and Engineering Design-Their Similarities and Differences. Design Studies 12(4), 197–203 (1991)
Fulcher, A.J., Hills, P.: Towards a Strategic Framework for Design Research. Journal of Engineering Design 7(1), 183–193 (1996)
Reich, Y.: The Study of Design Methodology. Journal of Mechanical Design 117(2), 211–214 (1994)
Preston, M., Mehandjiev, N.: A Framework for Classifying Intelligent Design Theories. In: Mehandjiev, N., Brereton, B. (eds.) The 2004 ACM Workshop on Interdisciplinary Software Engineering Research, New York, pp. 49–54 (2004)
Takeda, H., Veerkamp, P., Tomiyama, T., Yoshikawam, H.: Modelling Design Processes. AI Magazine 11(4), 37–48 (1990)
Adams, L., Courtney, J.: Achieving Relevance in IS Research via the DAGS Framework. In: 37th Annual Hawaii International Conference on System Sciences (2004)
Cole, R., Purao, S., Rossi, M., Sein, M.K.: Being proactive- Where Action Research Meets Design Research. In: 26th International Conference on Information Systems, Atlanta, pp. 325–336 (2005)
March, S., Smith, G.: Design and Natural Science Research on Information Technology. Decision Support Systems 15(4), 251–266 (1995)
Rossi, M., Sein, M.K.: Design Research Workshop: A Proactive Research Approach. In: 26th Information Systems Research Seminar in Scandinavia, Haikko, pp. 9–12 (2003)
Walls, J., Widmeyer, G., El Sawy, O.: Building an Information System Design Theory for Vigilant EIS. Information Systems Research 3(1), 36–59 (1992)
Venable, J.R., Travis, J.: Using a Group Support System for the Distributed Application of Soft Systems Methodology. In: Hope, B., Yoong, P. (eds.) 10th Australasian Conference on Information Systems, Wellington, New Zealand, pp. 1105–1117 (1999)
Vaishnavi, V., Kuechler, B.: Design Research in Information Systems. Association for Information Systems (2005)
Peffers, K., Tuunanen, T., Rothenberger, M.: A Design Science Research Methodology. Journal of Management Information Systems 24(3), 45–77 (2007)
Offermann, P., Levina, O., Schonherr, M., Bub, U.: Outline of a Design Science Research Process. In: Design Science Research in Information Systems and Technology (2009)
Goldkuhl, G.: Design Theories in Information Systems – A Need for Multi-Grounding. Journal of Information Technology and Application 6(2), 59–72 (2004)
Goldkuhl, G., Lind, M.: A Multi-Grounded Design Research Process. In: Winter, R., Zhao, J.L., Aier, S. (eds.) DESRIST 2010. LNCS, vol. 6105, pp. 45–60. Springer, Heidelberg (2010)
Klecun, E., Cornford, T.: A Critical Approach to Evaluation. European Journal of IS 14(3), 229–243 (2005)
Venable, J.: A Framework for Design Science Research Activities. In: The 2006 Information Resource Management Association Conference, Washington DC (2006)
Sun, Y., Kantor, P.: Cross-Evaluation: A New Model for Information System Evaluation. Journal of the American Society for Information Science and Technology 57(5), 614–662 (2006)
Pries-Heje, J., Baskerville, R., Venable, J.: Strategies for Design Science Research Evaluation. In: 16th European Conference on Information Systems, pp. 255–266 (2008)
Van de Ven, A.: Engaged Scholarship: A Guide for Organizational and Social Research. Oxford University Press, New York (2007)
Azevedo, J.: Mapping Reality: An Evolutionary Realist Methodology for the Natural and Social Sciences. Albany (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ostrowski, Ł., Helfert, M., Hossain, F. (2011). A Conceptual Framework for Design Science Research. In: Grabis, J., Kirikova, M. (eds) Perspectives in Business Informatics Research. BIR 2011. Lecture Notes in Business Information Processing, vol 90. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24511-4_27
Download citation
DOI: https://doi.org/10.1007/978-3-642-24511-4_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24510-7
Online ISBN: 978-3-642-24511-4
eBook Packages: Computer ScienceComputer Science (R0)