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Communication of Design Research: A Use-Case Agnostic Framework and Its Application

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The Next Wave of Sociotechnical Design (DESRIST 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12807))

Abstract

Existing guidance for communicating design research projects commonly focusses on specific communication instance types such as journal paper writing. However, the diversity of design research endeavours and the variety of communication situations within each such project requires broader and more adaptable guidance. This study therefore proposes a use-case agnostic framework for the communication of DSR. The design of this framework was continuously evaluated and refined by using it in University lectures. It guides design researchers by helping them characterize specific communication situations, based on which an informed communication design process can be formulated.

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References

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

    Article  Google Scholar 

  2. Gregor, S., Hevner, A.R.: Positioning and presenting design science research for maximum impact. MIS Q. 37(2), 337–355 (2013)

    Article  Google Scholar 

  3. Tremblay, M.C., VanderMeer, D., Beck, R.: The effects of the quantification of faculty productivity: perspectives from the design science research community. Commun. Assoc. Inf. Syst. 43(1), 34 (2018)

    Google Scholar 

  4. vom Brocke, J., Maedche, A.: The DSR grid: six core dimensions for effective capturing of DSR projects. Electron. Mark. 29, 379–385 (2019)

    Article  Google Scholar 

  5. Pollock, T.G., Bono, J.E.: Being Scheherazade: the importance of storytelling in academic writing. Acad. Manag. J. 56(3), 629–634 (2013)

    Article  Google Scholar 

  6. Cooke, S.J., et al.: Considerations for effective science communication. FACETS 2(1), 233–248 (2017)

    Google Scholar 

  7. Berger, C.R., Roloff, M.E., Ewoldsen, D.R.: The Handbook of Communication Science. Sage, Thousand Oaks (2010)

    Google Scholar 

  8. Burns, T.W., O’Connor, D.J., Stocklmayer, S.M.: Science communication: a contemporary definition. Public Underst. Sci. 12(2), 183–202 (2003)

    Article  Google Scholar 

  9. Wilson, M.J., Ramey, T.L., Donaldson, M.R., Germain, R.R., Perkin, E.K.: Communicating science: sending the right message to the right audience. FACETS 1(1), 127–137 (2016)

    Article  Google Scholar 

  10. Mauelshagen, C., Jakobs, E.-M.: Science meets public: customized technology research communication. In: International Professional Communication Conference (IPCC), Austin, Texas, USA, pp. 1–9. IEEE (2016)

    Google Scholar 

  11. Van Eperen, L., Marincola, F.M., Strohm, J.: Bridging the divide between science and journalism. J. Transl. Med. 8(1), 25 (2010)

    Article  Google Scholar 

  12. Putortì, E.S., Sciara, S., Larocca, N.U., Crippa, M.P., Pantaleo, G.: Communicating science effectively: when an optimised video communication enhances comprehension, pleasantness, and people’s interest in knowing more about scientific findings. Appl. Psychol. 69(3), 1072–1091 (2020)

    Article  Google Scholar 

  13. Lee, A.S.: Editor’s comment: MIS quarterly’s editorial policies and practices. MIS Q. 25(1), iii–vii (2001)

    Google Scholar 

  14. Miller, S.: Public understanding of science at the crossroads. Public Underst. Sci. 10(1), 115–120 (2001)

    Article  Google Scholar 

  15. Engel, C., Leicht, N., Ebel, P.: The imprint of design science in information systems research: an empirical analysis of the AIS senior scholar's basket. In: International Conference on Information Systems, ICIS, Munich, Germany (2019)

    Google Scholar 

  16. 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(2), 129–139 (2018)

    Article  Google Scholar 

  17. Hevner, A.R.: A three cycle view of design science research. Scand. J. Inf. Syst. 19(2), 87–92 (2007)

    Google Scholar 

  18. Bortz, J., Döring, N.: Forschungsmethoden und Evaluation. Springer, Heidelberg (2006). https://doi.org/10.1007/978-3-540-33306-7

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Correspondence to Marcel Cahenzli .

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Cahenzli, M., Beese, J., Winter, R. (2021). Communication of Design Research: A Use-Case Agnostic Framework and Its Application. In: Chandra Kruse, L., Seidel, S., Hausvik, G.I. (eds) The Next Wave of Sociotechnical Design. DESRIST 2021. Lecture Notes in Computer Science(), vol 12807. Springer, Cham. https://doi.org/10.1007/978-3-030-82405-1_18

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  • DOI: https://doi.org/10.1007/978-3-030-82405-1_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-82404-4

  • Online ISBN: 978-3-030-82405-1

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