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Generalizing the Information Systems Artifact

Author

Listed:
  • Manoj A. Thomas

    (University of Sydney Business School, Darlington, New South Wales 2006, Australia)

  • Yan Li

    (Center for Information Systems & Technology, Claremont Graduate University, Claremont, California 91711)

  • Allen S. Lee

    (Department of Information Systems, Virginia Commonwealth University, Richmond, Virginia 23284)

Abstract

Established process steps for design science research have not addressed the usability of technology artifacts beyond the original research setting. Building on what is already known about generalizing a theory from one setting to another and the idea of an artifact as the interface between an inner environment and outer environment put forth by Nobel Prize–winning social scientist Herbert Simon, we propose a procedure for generalizing an information systems (IS) artifact from one setting to another. We illustrate the treatment of the procedure by examining how an IS artifact (which itself consists of a technology artifact, information artifact, and social artifact) is generalized from the setting of Haiti to the setting of Nepal. The generalization procedure is a contribution to the practically oriented design science literature, which emphasizes the importance of the production of problem-solving artifacts. Specifically, our conceptualization of generalizing IS artifacts emphasizes the practical significance of design science research and the successful creation of artifacts that work in new settings in addition to the one where a research study originally created it. Design science researchers and practitioners may find the procedure and its real-world treatment and description a useful model to follow.

Suggested Citation

  • Manoj A. Thomas & Yan Li & Allen S. Lee, 2022. "Generalizing the Information Systems Artifact," Information Systems Research, INFORMS, vol. 33(4), pages 1452-1466, December.
    • Handle: RePEc:inm:orisre:v:33:y:2022:i:4:p:1452-1466
    DOI: 10.1287/isre.2022.1106
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    References listed on IDEAS

    as
    1. Allen S. Lee & Richard L. Baskerville, 2003. "Generalizing Generalizability in Information Systems Research," Information Systems Research, INFORMS, vol. 14(3), pages 221-243, September.
    2. Herbert A. Simon, 1996. "The Sciences of the Artificial, 3rd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262691914, December.
    3. Yan Li & Manoj A. Thomas & Debra Stoner & Sarbartha S. J. B. Rana, 2020. "Citizen-centric capacity development for ICT4D: the case of continuing medical education on a stick," Information Technology for Development, Taylor & Francis Journals, vol. 26(3), pages 458-476, July.
    4. Samir Chatterjee & Jongbok Byun & Kaushik Dutta & Rasmus Ulslev Pedersen & Akshay Pottathil & Harry (Qi) Xie, 2018. "Designing an Internet-of-Things (IoT) and sensor-based in-home monitoring system for assisting diabetes patients: iterative learning from two case studies," European Journal of Information Systems, Taylor & Francis Journals, vol. 27(6), pages 670-685, November.
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