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Knowledge Accumulation in Design-Oriented Research

Developing and Communicating Knowledge Contributions

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Designing the Digital Transformation (DESRIST 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10243))

Abstract

In this paper, we problematize a relative absence of established ways to develop and communicate knowledge contributions (KC) from Design-oriented research (DOR) within information systems. This is problematic since it hinders the potential for knowledge accumulation within the field. Thus, for communicating KC, we propose a framework, dubbed PDSA (Prescriptive, Descriptive, Situated, and Abstract). To develop KC especially from empirical data, we suggest the use of qualitative process methods. The framework is illustrated by revisiting a published DOR study. Finally, we show how the PDSA framework serves as a template to establish firm KC in DOR. In addition, we explore contributions generated from empirical data and suggest possibilities to use qualitative process methods as means to increase transparency and rigor of KC development and communication.

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References

  1. Walls, J.G., Widmeyer, G.R., El Sawy, O.A.: Building an information system design theory for vigilant EIS. Inf. Syst. Res. 3, 36–59 (1992)

    Article  Google Scholar 

  2. Markus, M.L., Majchrzak, A., Gasser, L.: A design theory for systems that support emergent knowledge processes. MIS Q. 26, 179–212 (2002)

    Google Scholar 

  3. Jones, D., Gregor, S., Jones, D., Gregor, S.: The anatomy of a design theory. J. Assoc. Inf. Syst. 8, 312–335 (2007)

    Google Scholar 

  4. Lindgren, R., Henfridsson, O., Schultze, U.: Design principles for competence management systems: a synthesis of an action research study. MIS Q. 28, 435–472 (2004)

    Google Scholar 

  5. Germonprez, M., Hovorka, D., Gal, U.: Secondary design: a case of behavioral design science research. J. Assoc. Inf. Syst. 12, 662–683 (2011)

    Google Scholar 

  6. Davison, R.M., Martinsons, M.G., Ou, C.X.J.: The roles of theory in canonical action research. MIS Q. 36, 763–786 (2012)

    Google Scholar 

  7. Gregor, S.: The nature of theory in information systems. MIS Q. 30, 611–642 (2006)

    Google Scholar 

  8. Zmud, B.: Editor’s comments. MIS Q. 20, 257 (1996)

    Article  Google Scholar 

  9. Davison, R.M., Martinsons, M.G., Kock, N.: Principles of canonical action research. Inf. Syst. J. 14, 65–86 (2004)

    Article  Google Scholar 

  10. Straub, D., Ang, S.: Editor’s comments: rigor and relevance in IS research: redefining the debate. MIS Q. 35, ii–xi (2011)

    Google Scholar 

  11. Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information systems research. MIS Q. 28, 75–105 (2004)

    Google Scholar 

  12. Gregor, S., Hevner, A.R.: Positioning and presenting design science research for maximum impact. MIS Q. 37, 337–355 (2013)

    Google Scholar 

  13. Nunamaker, J., Chen, M., Purdin, T.: Systems development in information systems research. J. Manag. Inf. Syst. 7(3), 89–106 (1990)

    Article  Google Scholar 

  14. Hevner, A.R.: A three cycle view of design science research. Scand. J. Inf. Syst. 19, 87–92 (2007)

    Google Scholar 

  15. Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24, 45–77 (2007)

    Article  Google Scholar 

  16. Pries-Heje, J., Baskerville, R.L., Venable, J.R.: Strategies for design science research evaluation. Eur. Conf. Inf. Syst. Pap. 87, 1–13 (2008)

    Google Scholar 

  17. 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). doi:10.1007/978-3-642-29863-9_31

    Chapter  Google Scholar 

  18. Venable, J., Pries-Heje, J., Baskerville, R.: FEDS: a framework for evaluation in design science research. Eur. J. Inf. Syst. 25, 77–89 (2016)

    Article  Google Scholar 

  19. Chandra, L., Seidel, S., Gregor, S.: Prescriptive knowledge in IS research: conceptualizing design principles in terms of materiality, action, and boundary conditions. In: 2015 48th Hawaii International Conference on System Sciences (HICSS), pp. 4039–4048 (2015)

    Google Scholar 

  20. Winter, R.: Design science research in Europe. Eur. J. Inf. Syst. 17, 470–475 (2008)

    Article  Google Scholar 

  21. Gregory, R.W., Muntermann, J.: Heuristic theorizing: proactively generating design theories. Inf. Syst. Res. 25, 639–653 (2014)

    Article  Google Scholar 

  22. Niehaves, B., Ortbach, K.: The inner and the outer model in explanatory design theory: the case of designing electronic feedback systems. Eur. J. Inf. Syst. 25, 303–316 (2016)

    Article  Google Scholar 

  23. Langley, A.: Strategies for theorizing from process data. Acad. Manag. Rev. 24, 691–710 (1999)

    Google Scholar 

  24. Mandviwalla, M.: Generating and justifying design theory. J. Assoc. Inf. Syst. 16, 314–344 (2015)

    Google Scholar 

  25. Gregory, R.W.: Design science research and the grounded theory method: characteristics, differences, and complementary uses. In: Theory-Guided Model Empiricism Information Systems Research, pp. 111–127 (2011)

    Google Scholar 

  26. Sein, M.K., Henfridsson, O., Purao, S., Rossi, M., Lindgren, R.: Action design research. MIS Q. 35, 37–56 (2011)

    Google Scholar 

  27. Baskerville, R.: What design science is not. Eur. J. Inf. Syst. 17, 441–443 (2008)

    Article  Google Scholar 

  28. Cross, N.: Designerly ways of knowing: design discipline versus design science. Des. Issues 17, 49–55 (2001)

    Article  Google Scholar 

  29. March, S.T., Smith, G.F.: Design and natural science research on information technology. Decis. Support Syst. 15, 251–266 (1995)

    Article  Google Scholar 

  30. Iivari, J.: Distinguishing and contrasting two strategies for design science research. Eur. J. Inf. Syst. 24, 107–115 (2015)

    Article  Google Scholar 

  31. Österle, H., Becker, J., Frank, U., Hess, T., Karagiannis, D., Krcmar, H., Loos, P., Mertens, P., Oberweis, A., Sinz, E.J.: Memorandum on design-oriented information systems research. Eur. J. Inf. Syst. 20, 7–10 (2011)

    Article  Google Scholar 

  32. Kuechler, W., Vaishnavi, V.: A framework for theory development in design science research: multiple perspectives. J. Assoc. Inf. Syst. 13, 395–423 (2012)

    Google Scholar 

  33. Merton, R.K.: Social Theory and Social Structure. The Free Press, New York (1968)

    Google Scholar 

  34. Kuechler, B., Vaishnavi, V.: On theory development in design science research: anatomy of a research project. Eur. J. Inf. Syst. 17, 489–504 (2008)

    Article  Google Scholar 

  35. Pries-Heje, J., Baskerville, R.: The design theory nexus. MIS Q. 32, 731–755 (2008)

    Google Scholar 

  36. Baskerville, R., Pries-Heje, J.: Explanatory design theory. Bus. Inf. Syst. Eng. 2, 271–282 (2010)

    Article  Google Scholar 

  37. Iivari, J.: A paradigmatic analysis of information systems as a design science. Scand. J. Inf. Syst. 19, 39–64 (2007)

    Google Scholar 

  38. Bunge, M.: Scientific Research II. The Search for Truth. Springer, New York (1967)

    Book  MATH  Google Scholar 

  39. Purao, S.: Design research in the technology of information systems: truth or dare. Pennsylvania State University (2002)

    Google Scholar 

  40. Gregor, S., Jones, D.: The anatomy of a design theory. J. Assoc. Inf. Syst. 8, 313–335 (2007)

    Google Scholar 

  41. Popper, K.: Unended Quest an Intellectual Autobiography. Fontana, Glasgow (1986)

    Google Scholar 

  42. William, K., Vijay, V.: A framework for theory development in design science research: multiple perspectives science research: multiple perspectives. J. Assoc. Inf. 13, 395–423 (2007)

    Google Scholar 

  43. Beck, R., Weber, S., Gregory, R.W.: Theory-generating design science research. Inf. Syst. Front. 15, 637–651 (2013)

    Article  Google Scholar 

  44. Holmstrom, J., Tuunanen, T., Kauremaa, J.: Logic for accumulation of design science research theory. In: 2014 47th Hawaii International Conference on System Sciences, pp. 3697–3706. IEEE (2014)

    Google Scholar 

  45. 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). doi:10.1007/978-3-642-13335-0_4

    Chapter  Google Scholar 

  46. Fischer, C., Gregor, S., Aier, S.: Forms of discovery for design knowledge. In: Proceedings of the ECIS 2012, p. 64 (2012)

    Google Scholar 

  47. Nagel, E.: The Structure of Science Problems in the Logic of Scientific Explanation. Hackett Publishing Co., Indianapolis (1979)

    Google Scholar 

  48. Goldkuhl, G.: Design theories in information systems – a need for multi-grounding. J. Inf. Technol. Appl. 6, 59–72 (2004)

    Google Scholar 

  49. Langley, A., Smallman, C., Tsoukas, H., Van de Ven, A.H.: Process studies of change in organization and management: unveiling temporality, activity, and flow. Acad. Manag. J. 56, 1–13 (2013)

    Article  Google Scholar 

  50. Pozzebon, M., Pinsonneault, A.: Challenges in conducting empirical work using structuration theory: learning from it research. Organ. Stud. 26, 1353–1376 (2005)

    Article  Google Scholar 

  51. Ortiz de Guinea, A., Webster, J.: Overcoming variance and process distinctions in information systems research. In: Proceedings of the 35th ICIS, Auckland, NZ (2014)

    Google Scholar 

  52. Adomavicius, G., Bockstedt, J.C., Gupta, A., Kauffman, R.J.: Making sense of technology trends in the information technology landscape: a design science approach. MIS Q. 32, 779–809 (2008)

    Google Scholar 

  53. Van de Ven, A.H., Poole, M.S.: Methods for studying innovation development in the minnesota innovation research program. Organ. Sci. 1, 313–335 (1990)

    Article  Google Scholar 

  54. Van de Ven, A.H., Poole, M.S.: Explaining development and change in organizations. Acad. Manag. Rev. 20, 510–540 (1995)

    Google Scholar 

  55. Van de Ven, A.H., Poole, M.S.: Alternative approaches for studying organizational change. Organ. Stud. 26, 1377–1404 (2005)

    Article  Google Scholar 

  56. Giessmann, A., Legner, C.: Designing business models for cloud platforms. Inf. Syst. J. 26, 551–579 (2016)

    Article  Google Scholar 

  57. Peters, C., Blohm, I., Leimeister, J.M.: Anatomy of successful business models for complex services: insights from the telemedicine field. J. Manag. Inf. Syst. 32, 75–104 (2015)

    Article  Google Scholar 

  58. Ebel, P., Bretschneider, U., Leimeister, J.M.: Leveraging virtual business model innovation: a framework for designing business model development tools. Inf. Syst. J. 26, 519–550 (2016)

    Article  Google Scholar 

  59. von Brocke, J., Simons, A., Niehaves, B., Riemer, K., Plattfaut, R., Cleven, A.: Reconstructing the giant: on the importance of rigour in documenting the literature search process. In: 17th European Conference on Information Systems, vol. 9, pp. 2206–2217 (2009)

    Google Scholar 

  60. Gregor, S., Imran, A., Turner, T.: A “sweet spot” change strategy for a least developed country: leveraging e-Government in Bangladesh. Eur. J. Inf. Syst. 23, 655–671 (2014)

    Article  Google Scholar 

  61. Papas, N., O’Keefe, R.M., Seltsikas, P.: The action research vs design science debate: reflections from an intervention in eGovernment. Eur. J. Inf. Syst. 21, 147–159 (2012)

    Article  Google Scholar 

  62. Rosenkranz, C., Holten, R., Räkers, M., Behrmann, W.: Supporting the design of data integration requirements during the development of data warehouses: a communication theory-based approach. Eur. J. Inf. Syst. 0, 1–33 (2015)

    Google Scholar 

  63. Spagnoletti, P., Resca, A., Sæbø, Ø.: Design for social media engagement: insights from elderly care assistance. J. Strateg. Inf. Syst. 24, 128–145 (2015)

    Article  Google Scholar 

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Authors and Affiliations

  1. Freie Universität Berlin, Garystr. 21, 14195, Berlin, Germany

    Ana Paula Barquet, Lauri Wessel & Hannes Rothe

Authors
  1. Ana Paula Barquet
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  2. Lauri Wessel
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  3. Hannes Rothe
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Correspondence to Ana Paula Barquet .

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Editors and Affiliations

  1. Karlsruhe Institute of Technologie (KIT) , Karlsruhe, Germany

    Alexander Maedche

  2. University of Liechtenstein , Vaduz, Liechtenstein

    Jan vom Brocke

  3. University of South Florida , Tampa, Florida, USA

    Alan Hevner

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Barquet, A.P., Wessel, L., Rothe, H. (2017). Knowledge Accumulation in Design-Oriented Research. In: Maedche, A., vom Brocke, J., Hevner, A. (eds) Designing the Digital Transformation. DESRIST 2017. Lecture Notes in Computer Science(), vol 10243. Springer, Cham. https://doi.org/10.1007/978-3-319-59144-5_24

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  • DOI: https://doi.org/10.1007/978-3-319-59144-5_24

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