Abstract
Solving real-world problems with innovative and novel artifacts is at the core of design science research (DSR). Given DSR’s emphasis on a strong connection to the real-world, artifacts for solving a particular problem may not only be described in extant literature, but also exist in practice. This is particularly the case for software artifacts. Therefore, DSR scholars need to explore the state of the art and demonstrate the novelty of their software artifact relative to existing artifacts in research and practice. However, while methodological guidance for conducting literature reviews is abundant, there is little guidance on how to review software artifacts from practice. This paper takes a first step toward addressing this gap by proposing and illustrating a seven-step method for reviewing software artifacts from practice. Our research provides actionable guidance for DSR scholars on how to support the claim that their software artifact constitutes a substantial contribution to knowledge.
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References
Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information systems research. MIS Q. 28, 75–105 (2004)
Gregor, S., Hevner, A.R.: Positioning and presenting design science research for maximum impact. MIS Q. 37, 337–355 (2013)
Webster, J., Watson, R.T.: Analyzing the past to prepare for the future: writing a literature review. MIS Q. 26, xiii–xxiii (2002)
Kitchenham, B.: Procedures for performing systematic reviews. Keele Keele Univ (2004)
Templier, M., Paré, G.: A framework for guiding and evaluating literature reviews. Commun. Assoc. Inf. Syst. 37, 112–137 (2015)
Wagner, G., Lukyanenko, R., Paré, G.: Artificial intelligence and the conduct of literature reviews. J. Inf. Technol. (2021, forthcoming)
Iivari, J., Rotvit Perlt Hansen, M., Haj-Bolouri, A.: A proposal for minimum reusability evaluation of design principles. Eur. J. Inf. Syst. 30, 1–18 (2019)
Nature: The big question. Nat. Mach. Intell. 3, 737–737 (2021)
Chandra Kruse, L., Seidel, S., vom Brocke, J.: Design archaeology: generating design knowledge from real-world artifact design. In: Tulu, B., Djamasbi, S., Leroy, G. (eds.) DESRIST 2019. LNCS, vol. 11491, pp. 32–45. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-19504-5_3
Templier, M., Paré, G.: Transparency in literature reviews: an assessment of reporting practices across review types and genres in top IS journals. Eur. J. Inf. Syst. 27, 503–550 (2018)
Spohrer, K., Fallon, M., Hoehle, H., Heinzl, A.: Designing effective mobile health apps: does combining behavior change techniques really create synergies? J. Manag. Inf. Syst. 38, 517–545 (2021)
Gleasure, R.: Conceptual design science research? how and why untested meta-artifacts have a place in IS. In: Tremblay, M.C., VanderMeer, D., Rothenberger, M., Gupta, A., Yoon, V. (eds.) DESRIST 2014. LNCS, vol. 8463, pp. 99–114. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-06701-8_7
Orlikowski, W.J., Iacono, C.S.: Research commentary: desperately seeking the “IT” in IT research—a call to theorizing the IT artifact. Inf. Syst. Res. 12, 121–134 (2001)
Lukyanenko, R., Parsons, J.: Easier crowdsourcing is better: designing crowdsourcing systems to increase information quality and user participation. In: vom Brocke, J., Hevner, A., Maedche, A. (eds.) Design Science Research. Cases. PI, pp. 43–72. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-46781-4_3
Gill, A.Q., Chew, E.: Configuration information system architecture: Insights from applied action design research. Inf. Manag. 56, 507–525 (2019)
Ruoff, M., Gnewuch, U.: Designing conversational dashboards for effective use in crisis response. In: Proceedings of the 29th European Conference on Information Systems (2021)
Johns Hopkins University: COVID-19 Dashboard (2022). https://coronavirus.jhu.edu/map
vom Brocke, J., Winter, R., Hevner, A., Maedche, A.: Special issue editorial – accumulation and evolution of design knowledge in design science research: a journey through time and space. J. Assoc. Inf. Syst. 21, 520–544 (2020)
Maedche, A., Gregor, S., Morana, S., Feine, J.: Conceptualization of the problem space in design science research. In: Tulu, B., Djamasbi, S., Leroy, G. (eds.) DESRIST 2019. LNCS, vol. 11491, pp. 18–31. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-19504-5_2
Cooper, H.M.: Organizing knowledge syntheses: a taxonomy of literature reviews. Knowl. Soc. 1, 104–126 (1988)
Ivanković, D., Barbazza, E., Bos, V., Brito Fernandes, Ó., Kringos, D.: Features constituting actionable COVID-19 dashboards: descriptive assessment and expert appraisal of 158 public web-based COVID-19 dashboards. J. Med. Internet Res. 23, e25682 (2021)
Burton-Jones, A., Boh, W.F., Oborn, E., Padmanabhan, B.: Editor’s comments: advancing research transparency at MIS quarterly: a pluralistic approach. MIS Q. 45, iii–xviii (2021)
Lukyanenko, R., Parsons, J.: Design theory indeterminacy: what is it, how can it be reduced, and why did the polar bear drown? J. Assoc. Inf. Syst. 21, 1343–1369 (2020)
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Gnewuch, U., Maedche, A. (2022). Toward a Method for Reviewing Software Artifacts from Practice. In: Drechsler, A., Gerber, A., Hevner, A. (eds) The Transdisciplinary Reach of Design Science Research. DESRIST 2022. Lecture Notes in Computer Science, vol 13229. Springer, Cham. https://doi.org/10.1007/978-3-031-06516-3_25
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