IDEAS home Printed from https://ideas.repec.org/a/taf/tjisxx/v27y2018i2p221-247.html
   My bibliography  Save this article

Design principles for sensemaking support systems in environmental sustainability transformations

Author

Listed:
  • Stefan Seidel
  • Leona Chandra Kruse
  • Nadine Székely
  • Michael Gau
  • Daniel Stieger
  • Ken Peffers
  • Tuure Tuunanen
  • Björn Niehaves
  • Kalle Lyytinen

Abstract

This paper reports on the results of a design science research (DSR) study that develops design principles for information systems (IS) that support organisational sensemaking in environmental sustainability transformations. We identify initial design principles based on salient affordances required in organisational sensemaking and revise them through three rounds of developing, demonstrating and evaluating a prototypical implementation. Through our analysis, we learn how IS can support essential sensemaking practices in environmental sustainability transformations, including experiencing disruptive ambiguity through the provision of environmental data, noticing and bracketing, engaging in an open and inclusive communication and presuming potential alternative environmentally responsible actions. We make two key contributions: First, we provide a set of theory-inspired design principles for IS that support sensemaking in sustainability transformations, and revise them empirically using a DSR method. Second, we show how the concept of affordances can be used in DSR to investigate how IS can support organisational practices. While our findings are based on the investigation of the substantive context of environmental sustainability transformation, we suggest that they might be applicable in a broader set of contexts of organisational sensemaking and thus for a broader class of sensemaking support systems.

Suggested Citation

  • Stefan Seidel & Leona Chandra Kruse & Nadine Székely & Michael Gau & Daniel Stieger & Ken Peffers & Tuure Tuunanen & Björn Niehaves & Kalle Lyytinen, 2018. "Design principles for sensemaking support systems in environmental sustainability transformations," European Journal of Information Systems, Taylor & Francis Journals, vol. 27(2), pages 221-247, March.
  • Handle: RePEc:taf:tjisxx:v:27:y:2018:i:2:p:221-247
    DOI: 10.1057/s41303-017-0039-0
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1057/s41303-017-0039-0
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41303-017-0039-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Quick, Reiner & Münch, M. & Mayer, J. H., 2023. "Going Beyond Compliance Fulfillment: a Literature Review on ESG Performance Management," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 142481, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Simon Michalke & Lisa Lohrenz & Christoph Lattemann & Susanne Robra-Bissantz, 2022. "Exploring engagement, well-being, and welfare on engagement platforms: Insight into the personal service sector from the DACH region," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2429-2444, December.
    3. Wolfgang Ketter & Karsten Schroer & Konstantina Valogianni, 2023. "Information Systems Research for Smart Sustainable Mobility: A Framework and Call for Action," Information Systems Research, INFORMS, vol. 34(3), pages 1045-1065, September.
    4. Johannes Schneider & Stefan Seidel & Marcus Basalla & Jan Brocke, 2023. "Reuse, Reduce, Support: Design Principles for Green Data Mining," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(1), pages 65-83, February.
    5. Christian Meske & Enrico Bunde, 2023. "Design Principles for User Interfaces in AI-Based Decision Support Systems: The Case of Explainable Hate Speech Detection," Information Systems Frontiers, Springer, vol. 25(2), pages 743-773, April.
    6. Daniel Suarez & Camilo Gomez & Andrés L. Medaglia & Raha Akhavan-Tabatabaei & Sthefania Grajales, 2024. "Integrated Decision Support for Disaster Risk Management: Aiding Preparedness and Response Decisions in Wildfire Management," Information Systems Research, INFORMS, vol. 35(2), pages 609-628, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tjisxx:v:27:y:2018:i:2:p:221-247. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjis .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.