Abstract
The supposed opposition of rigor versus relevance is based on the mistaken idea that rigor consists of linear technology transfer combined with positivistic science, and ignores the context-dependence of relevance as well as the incorporation of conditions of practice necessary for applicability of knowledge. Historical insights from the history of science and technology show that technology is not transferred linearly from research to practice, and that technical science has more in common with social science than a superficial comparison would reveal. In both fields, (1) practical problems are often solved without input from research, and (2) researchers often investigate past innovations rather than prepare future ones. And in both fields, (3) relevance is context-dependent, because it depends on changeable goals of stakeholders. Applicability is a more important requirement than relevance to a goal, where applicability is the match between theory and the condition of practice of a concrete case.
This paper summarizes insights from the history of science and technology to substantiate these points and provides an extended framework for design science to incorporate these insights. Since relevance depends on problem choice, the paper also summarizes what is known about classes of relevant practical problems and research questions in technical design science and discusses the relevance of this for IS design science. We finally discuss implications for research methods, research strategy, and knowledge transfer in IS design science.
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References
Schön, D.: The Reflective Practitioner: How Professionals Think in Action. Arena (1983)
Benbasat, I., Zmud, R.: Empirical research in information systems: the practice of relevance. MIS Quarterly 23(1), 3–16 (1999)
Davenport, T., Markus, M.: Rigor vs. relevance revisited: response to Benbasat and Zmud. MIS Quarterly 23(1), 19–23 (1999)
Nunamaker, J., Chen, M., Purdin, T.: Systems development in information systems research. Journal of Management Information Systems 7(3), 89–106 (1990–1991)
Walls, J., Widmeyer, G., Sawy, O.E.: Building an information system design theory for vigilant EIS. Information Systems Research 3(1), 36–59 (1992)
March, A., Smith, G.: Design and natural science research on information technology. Decision Support Systems 15(4), 251–266 (1995)
Hevner, A., March, S., Park, J., Ram, S.: Design science in information system research. MIS Quarterly 28(1), 75–105 (2004)
Wieringa, R.: Requirements Engineering: Frameworks for Understanding. Wiley, Chichester (1996), http://www.cs.ut/wente/nl/~roelw/REFU/all.pdf
Weber, R.: The problem of the problem. MIS Quarterly 27(1), iii–ix (2003)
Bunge, M.: Technology as applied science. In: Rapp, F. (ed.) Contributions to the Philosophy of Technology, pp. 19–39. Reidel, Dordrechtz (1974)
Godin, B.: The linear model of innovation: The historical reconstruction of an analytic framework. Science, Technology and Human Values 31(6), 639–667 (2006)
Cardwell, D.: Wheels, Clocks, and Rockets. A History of Technology. W.W. Norton & Company (1995)
Keller, A.: Has science created technology? Minerva 22(2), 160–182 (1984)
Carlson, W.: Innovation and the modern corporation. From heroic invention to industrial science. In: Krige, J., Pestre, D. (eds.) Companion to Science in the Twentieth Century, pp. 203–226. Routledge, New York (2003)
McKelvey, J.: Science and technology: The driven and the driver. Technology Review, 38–47 (1985)
Stokes, D.: Pasteur’s quadrant: Basic science and technological innovation. Brookings Institution Press (1997)
Wise, G.: Science and technology. Osiris (2nd Series), vol. 1, pp. 229–246 (1985)
Gardner, P.: Representation of the relationship between science and technology in the curriculum. Studies in Science Education 24, 1–28 (1994)
DeSolla Price, D.: Of sealing wax and string. Natural History 84(1), 49–56 (1984)
Shapin, S., Schaffer, S.: Leviathan and the air pump: Hobbes, Boyle and the experimental life. Princeton University Press, Princeton (1985)
Middleton, W.K.: A history of the thermometer and its uses in meteorology. Johns Hopkins, Baltimore (1966)
Kuhn, T.: Mathematical versus experimental traditions in the development of physical science. In: Kuhn, T. (ed.) The Essential Tension, pp. 31–65. University of Chicago Press, Chicago (1977); Reprinted from The Journal of Interdisciplinary History, vol. 7, pp. 1–31 (1976)
Marsden, B.: Watt’s Perfect Engine. Steam and the Age of Invention. Icon Books (2002)
Cardwell, D.: Turning points in Western technology. A study of technology, science and history. Science History Publications (1972)
Kline, S.: Innovation is not a linear process. Research Management 24(4), 36–45 (1985)
Reich, L.: The making of American industrial research: Science and business at GE and Bell, pp. 1876–1926. Cambridge University Press, Cambridge (1985)
de Vries, M.: 80 Years of Research at the Philips Natuurkundig Laboratorium. Pallas Publications (2005)
Wieringa, R.J.: Design science as nested problem solving. In: Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology, pp. 1–12. ACM, New York (2009)
Vincenti, W.: What Engineers Know and How They Know It. Analytical Studies from Aeronautical History. Johns Hopkins, Baltimore (1990)
Aitken, H.: Science, technology and economics: The invention of radio as a case study. In: Krohn, W., Layton, E., Weingart, P. (eds.) The Dynamics of Science and Technology. Sociology of the Sciences, II, pp. 89–111. Reidel, Dordrechtz (1978)
Lyytinen, K., King, J.: Nothing at the center? Academic legitimacy in the information systems field. Journal of the Association of Information Systems 5(6), 220–246 (2004)
Constant, E.: The Origins of the Turbojet Revolution. Johns Hopkins, Baltimore (1980)
Hughes, T.: Networks of Power. Electrification in Western Society, pp. 1880–1930. Johns Hopkins university Press, Baltimore (1983)
Laudan, R.: Introduction. In: Laudan, R. (ed.) The Nature of Technological Knowledge. Are Models of Scientific Change Relevant?, pp. 1–26. Reidel, Dordrechtz (1984)
Hughes, T.: The evolution of large technological systems. In: Bijker, W., Hughes, T., Pinch, T. (eds.) The Social Construction of Technological Systems, pp. 51–82. MIT Press, Cambridge (1987)
Kock, N., Gray, P., Hoving, R., Klein, H., Myers, M., Rockart, J.: Research relevance revisited: Subtle accomplishment, unfulfilled promise, or serial hyporcisy? Communications of the Association of Information Systems 8, 330–346 (2002)
Petroski, H.: To Engineer is Human: The Role of Failure in Successful Design. Vintage books (1992)
Pawson, R., Tilley, N.: Realistic Evaluation. Sage Publications, Thousand Oaks (1997)
Layton, E.: Mirror-image twins: The communities of science and technology in 19th century America. Technology and Culture 12(4), 562–580 (1971)
Layton, E.: American ideologies of science and engineering. Technology and Culture 17, 688–701 (1976)
Finch, J.: Engineering and science: A historical review and appraisal. Technology and Culture 2, 318–332 (1961)
Cook, W.: ECOOP 2009 banquet speech, http://wcook.blogspot.com/2009/10/ecoop-2009-banquet-speech.html (Accessed January 20, 2010)
Küppers, G.: On the relation between technology and science—goals of knowledge and dynamics of theories. The example of combustion technology, thermodynamics and fluid dynamics. In: Krohn, W., Layton, E., Weingart, P. (eds.) The Dynamics of Science and Technology. Sociology of the Sciences, II, pp. 113–133. Reidel, Dordrechtz (1978)
Daneva, M., Wieringa, R.J.: A requirements engineering framework for cross-organizational erp systems. Requirements engineering 11(3), 194–204 (2006)
Kuechler, B., Vaishnavi, V.: On theory development in design science research: anatomy of a research project. European Journal of Information Systems 17, 489–504 (2008)
Baskerville, R.: Distinguishing action research from participative case studies. Journal of Systems and Information Technology 1(1), 25–45 (1997)
Glass, R.: Pilot studies: What, why, and how. Journal of Systems and Software 36, 85–97 (1997)
Merton, R.: On sociological theories of the middle range. In: Social Theory and Social Structure, Enlarged edn., pp. 39–72. The Free Press (1968)
Gregor, S., Jones, D.: The anatomy of a design theory. Journal of the AIS 8(5), 312–335 (2007)
Van Strien, P.: Towards a methodology of psychological practice: The regulative cycle. Theory & Psychology 7(5), 683–700 (1997)
Zelkowitz, M., Wallace, D., Binkley, D.: Culture conflicts in software engineering technology transfer. In: 23rd NASA Goddard Space Flight Center Software Engineering Workshop (1998)
Gardner, P.: The relationship between technology and science: Some historical and philosophical reflections. part II. International journal of Technology and Design Education 5, 1–33 (1995)
Sayer, A.: Method in Social Science: A Realist Approach, 2nd edn. Routledge, New York (1992)
Mutschler, B.: Modeling and simulating causal dependencies on process-aware information systems from a cost perspective. PhD thesis, Univ. of Twente, Enschede (2008), http://eprints.eemcs.utwente.nl/11864/
Morali, A., Wieringa, R.J.: Risk-based confidentiality requirements specification for outsourced it systems. Technical Report TR-CTIT-10-09, Centre for Telematics and Information Technology, University of Twente, Enschede (2010)
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Wieringa, R. (2010). Relevance and Problem Choice in Design Science. In: Winter, R., Zhao, J.L., Aier, S. (eds) Global Perspectives on Design Science Research. DESRIST 2010. Lecture Notes in Computer Science, vol 6105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13335-0_5
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