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Conceptualization of the Problem Space in Design Science Research

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Book cover Extending the Boundaries of Design Science Theory and Practice (DESRIST 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11491))

Abstract

Design science research (DSR) aims to deliver innovative solutions for real-world problems. DSR produces Information Systems (IS) artifacts and design knowledge describing means-end relationships between problem and solution spaces. A key success factor of any DSR research endeavor is an appropriate understanding and description of the underlying problem space. However, existing DSR literature lacks a solid conceptualization of the problem space in DSR. This paper addresses this gap and suggests a conceptualization of the problem space in DSR that builds on the four key concepts of stakeholders, needs, goals, and requirements. We showcase the application of our conceptualization in two published DSR projects. Our work contributes methodologically to the field of DSR as it helps DSR scholars to explore and describe the problem space in terms of a set of key concepts and their relationships.

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References

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

    Article  Google Scholar 

  2. Kuechler, W., Vaishnavi, V.: A framework for theory development in design science research: multiple perspectives science research: multiple perspectives. J. Assoc. Inf. Syst. 13, 395–424 (2012)

    Google Scholar 

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

    Article  Google Scholar 

  4. 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 

  5. Sonnenberg, C., vom Brocke, J.: Evaluations in the science of the artificial – reconsidering the build-evaluate pattern in design science research. In: Peffers, K., Rothenberger, M., Kuechler, B. (eds.) DESRIST 2012. LNCS, vol. 7286, pp. 381–397. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-29863-9_28

    Chapter  Google Scholar 

  6. Denyer, D., Tranfield, D., Van Aken, J.E.: Developing design propositions through research synthesis. Organ. Stud. 29, 393–413 (2008)

    Article  Google Scholar 

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

    Google Scholar 

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

    Article  Google Scholar 

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

    Google Scholar 

  10. Deng, Q., Ji, S.: A review of design science research in information systems: concept, process, outcome, and evaluation. Pacific Asia J. Assoc. Inf. Syst. 10, 1–36 (2018)

    Google Scholar 

  11. Purao, S.: Truth or Dare. J. Database Manag. 24, 51–66 (2013)

    Article  Google Scholar 

  12. Peffers, K., Tuunanen, T., Niehaves, B.: Design science research genres: introduction to the special issue on exemplars and criteria for applicable design science research. Eur. J. Inf. Syst. 27, 129–139 (2018)

    Article  Google Scholar 

  13. Baskerville, R., Baiyere, A., Gregor, S., Hevner, A., Rossi, M.: Design science research contributions: finding a balance between artifact and theory. J. Assoc. Inf. Syst. 19, 358–376 (2018)

    Google Scholar 

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

    Article  Google Scholar 

  15. Van de Ven, A.H.: Engaged Scholarship: A Guide for Organizational and Social Research. Oxford University Press, Oxford (2007)

    Google Scholar 

  16. Getzels, J.W.: Problem finding: a theoretical note. Cogn. Sci. 3, 167–172 (1979)

    Article  Google Scholar 

  17. Einstein, A., Infeld, L.: The Evolution of Physics. Simon & Schuster, New York (1938)

    MATH  Google Scholar 

  18. Dorst, K.: The core of “design thinking” and its application. Des. Stud. 32, 521–532 (2011)

    Article  Google Scholar 

  19. Cross, N.: Expertise in design: an overview. Des. Stud. 25, 427–441 (2004)

    Article  Google Scholar 

  20. Simon, H.: The Sciences of the Artificial. MIT Press, Cambridge (1998)

    Google Scholar 

  21. Sein, M.K., Henfridsson, O., Purao, S., Rossi, M., Lindgren, R.: Action design research. MIS Q. 35, 1–20 (2011)

    Article  Google Scholar 

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

    Article  Google Scholar 

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

    Article  Google Scholar 

  24. Thuan, N.H., Drechsler, A., Antunes, P.: Construction of design science research questions. Commun. Assoc. Inf. Syst. 44(1), 20 (2019)

    Google Scholar 

  25. Zobel, J.: Writing for Computer Science, 3rd Edn. (2014)

    Book  MATH  Google Scholar 

  26. Getzels, J.W.: Problem-finding and the inventiveness of solutions. J. Creat. Behav. 9, 12–18 (1975)

    Article  Google Scholar 

  27. Alvesson, M., Sandberg, J.: Generating research questions through problematization. Acad. Manage. Rev. 36, 247–271 (2011)

    Google Scholar 

  28. Heidegger, M.: Basic Writings. HarperCollins, New York (1993)

    Google Scholar 

  29. ISO/IEC/IEEE International Standard: Systems and software engineering – Vocabulary. ISO/IEC/IEEE (2010)

    Google Scholar 

  30. Association for Project Management: Glossary. https://www.apm.org.uk/body-of-knowledge/glossary/

  31. Glinz, M.: A Glossary of Requirements Engineering Terminology (2017)

    Google Scholar 

  32. Arazy, O., Kumar, N., Shapira, B.: A theory-driven design framework for social recommender systems. J. Assoc. Inf. Syst. 11, 455–490 (2010)

    Google Scholar 

  33. Meth, H., Mueller, B., Maedche, A.: Designing a requirement mining system. J. Assoc. Inf. Syst. 16, 799–837 (2015)

    Google Scholar 

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Correspondence to Stefan Morana .

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Maedche, A., Gregor, S., Morana, S., Feine, J. (2019). Conceptualization of the Problem Space in Design Science Research. In: Tulu, B., Djamasbi, S., Leroy, G. (eds) Extending the Boundaries of Design Science Theory and Practice. DESRIST 2019. Lecture Notes in Computer Science(), vol 11491. Springer, Cham. https://doi.org/10.1007/978-3-030-19504-5_2

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  • DOI: https://doi.org/10.1007/978-3-030-19504-5_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19503-8

  • Online ISBN: 978-3-030-19504-5

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