Relevance and Problem Choice in Design Science

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.

[1]  Vijay K. Vaishnavi,et al.  Theory Development in Design Science Research: Anatomy of a Research Project , 2008 .

[2]  Edwin T. Layton,et al.  American Ideologies of Science and Engineering , 1976 .

[3]  Bela Mutschler,et al.  Modeling and simulating causal dependencies on process-aware information systems from a cost perspective , 2008 .

[4]  Marvin V. Zelkowitz,et al.  Culture Conflicts in Software Engineering Technology Transfer , 1998 .

[5]  Günter Küppers.  On the Relation between Technology and Science — Goals of Knowledge and Dynamics of Theories. The Example of Combustion Technology, Thermodynamics and Fluidmechanics , 1978 .

[6]  Robert L. Glass,et al.  Pilot Studies: What, Why, and How , 1997, J. Syst. Softw..

[7]  Thomas H. Davenport,et al.  Rigor vs. relevance revisited: response to Benbasat and Zmud , 1999 .

[8]  B. Godin.  The Linear Model of Innovation , 2006 .

[9]  Leonard S. Reich,et al.  The Making of American Industrial Research , 2002 .

[10]  E. Layton.  Mirror-Image Twins: The Communities of Science and Technology in 19th-Century America , 1971 .

[11]  Alexander Keller.  Has science created technology? , 1984 .

[12]  Ben Marsden,et al.  Watt's Perfect Engine: Steam and the Age of Invention , 2002 .

[13]  Walter G. Vincenti,et al.  What Engineers Know and How They Know It: Analytical Studies from Aeronautical History , 1990 .

[14]  Thomas P. Hughes,et al.  Networks Of Power , 1983 .

[15]  J. P. Mckelvey.  Science and Technology : Driven and Driver : Technology Review , 1987 .

[16]  Henry Petroski,et al.  To Engineer Is Human: The Role of Failure in Successful Design , 1986 .

[17]  Ron Weber,et al.  Editor's comment: the problem of the problem , 2003 .

[18]  Izak Benbasat,et al.  Empirical Research in Information Systems: The Practice of Relevance , 1999, MIS Q..

[19]  Edward W. Constant,et al.  The Origins of the Turbojet Revolution , 1982 .

[20]  Alan R. Hevner,et al.  Design Science in Information Systems Research , 2004, MIS Q..

[21]  Edwin T. Layton,et al.  The Dynamics of Science and Technology , 1978 .

[22]  Wiebe E. Bijker,et al.  The nature of technological knowledge: are models of scientific change relevant? , 1984 .

[23]  Roel Wieringa,et al.  Risk-based Confidentiality Requirements Specification for Outsourced IT Systems , 2010, 2010 18th IEEE International Requirements Engineering Conference.

[24]  Shirley Gregor,et al.  The Anatomy of a Design Theory , 2007, J. Assoc. Inf. Syst..

[25]  Paul L. Gardner,et al.  Representations of the Relationship between Science and Technology in the Curriculum , 1994 .

[26]  Omar El Sawy,et al.  Building an Information System Design Theory for Vigilant EIS , 1992, Inf. Syst. Res..

[27]  Paul L. Gardner,et al.  The relationship between technology and science: Some historical and philosophical reflections. Part I , 1994 .

[28]  Thomas S. Kuhn,et al.  Mathematical vs. Experimental Traditions in the Development of Physical Science , 1976 .

[29]  Leonard S. Reich,et al.  The Making of American Industrial Research: Science and Business at GE and Bell, 1876-1926 , 1985 .

[30]  Donald A. Schön.  The reflective practitioner : how professionals think in action , 1986 .

[31]  Kalle Lyytinen,et al.  Nothing At The Center?: Academic Legitimacy in the Information Systems Field , 2004, J. Assoc. Inf. Syst..

[32]  S. Shapin,et al.  Leviathan and the Air-Pump: Hobbes, Boyle, and the Experimental Life , 1987 .

[33]  Sandeep Purao,et al.  Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology , 2009 .

[34]  T. Kuhn,et al.  The Essential Tension , 1977 .

[35]  Roel Wieringa,et al.  Requirements Engineering: Frameworks for Understanding , 1996 .

[36]  S. J. Kline,et al.  Innovation Is Not a Linear Process , 1985 .

[37]  Hugh G. J. Aitken,et al.  SCIENCE, TECHNOLOGY AND ECONOMICS: THE INVENTION OF RADIO AS A CASE STUDY , 1978 .

[38]  Salvatore T. March,et al.  Design and natural science research on information technology , 1995, Decis. Support Syst..

[39]  Roel Wieringa,et al.  A requirements engineering framework for cross-organizational ERP systems , 2006, Requirements Engineering.

[40]  Charles Singer,et al.  A History of technology , 1955 .

[41]  Roel Wieringa,et al.  Design science as nested problem solving , 2009, DESRIST.

[42]  H. Belloc.  The Free Press , 2002 .

[43]  Terry Schmidt,et al.  How EPA Revamped Its R&D Management Effort , 1981 .

[44]  Jay F. Nunamaker,et al.  Systems Development in Information Systems Research , 1990, J. Manag. Inf. Syst..

[45]  R. Westrum.  The Social Construction of Technological Systems , 1989 .

[46]  Mario Bunge,et al.  Technology as Applied Science , 1966 .

[47]  Richard L. Baskerville,et al.  Distinguishing action research from participative case studies , 1997 .

[48]  G. Wise,et al.  Science and Technology , 1985, Osiris.

[49]  Pj vanStrien.  Towards a methodology of psychological practice - The regulative cycle , 1997 .

[50]  Andrew Sayer,et al.  Method in Social Science: A Realist Approach , 1984 .

[51]  Wn Wybo Houkes,et al.  THE NATURE OF TECHNOLOGICAL KNOWLEDGE , 2009 .

[52]  James Kip Finch,et al.  Engineering and Science: A Historical Review and Appraisal , 1961 .

[53]  Richard Southwood,et al.  Of Sealing Wax and String , 1998 .

[54]  P. Strien.  Towards a Methodology of Psychological Practice , 1997 .

[55]  John Krige,et al.  Companion to science in the twentieth century , 2003 .

[56]  Donald Cardwell.  The New History of Technology. (Book Reviews: Turning Points in Western Technology. A Study of Technology, Science and History) , 1973 .

[57]  Walter G. Vincenti,et al.  What Engineers Know and How They Know It: Analytical Studies from Aeronautical History. , 1992 .

[58]  D. E. Stokes.  Pasteur's Quadrant: Basic Science and Technological Innovation , 1997 .

[59]  D. Schoen,et al.  The Reflective Practitioner: How Professionals Think in Action , 1985 .

[60]  John F. Rockart,et al.  IS Research Relevance Revisited: Subtle Accomplishment, Unfulfilled Promise, or Serial Hypocrisy? , 2002, Commun. Assoc. Inf. Syst..

[61]  T. P. Hughes,et al.  Networks of Power: Electrification in Western Society , 1984 .