IDEAS home Printed from https://ideas.repec.org/a/bla/srbeha/v38y2021i3p368-376.html
   My bibliography  Save this article

Lessons for systems engineering from the Segura River reclamation project: A critical systems thinking analysis

Author

Listed:
  • Miguel A. Rodenas
  • Michael C. Jackson

Abstract

The International Council on Systems Engineering has long declared a wish to extend the scope of application of systems engineering from its traditional sphere of complex technical systems to more complex sociotechnical systems. The Segura River reclamation project was a successful systems engineering project, involving water treatment and management and environmental regeneration, which falls squarely into the latter category. Taking lessons from this project, the paper sets out to understand the circumstances in which systems engineering can be successful in guiding and managing interventions in nontraditional domains such as transportation, housing, infrastructure, health and environmental systems. This involves an analysis using critical systems thinking. The paper also seeks to suggest how systems engineering must change to ensure success in circumstances that are less propitious for its theory and practice than in the Segura case.

Suggested Citation

  • Miguel A. Rodenas & Michael C. Jackson, 2021. "Lessons for systems engineering from the Segura River reclamation project: A critical systems thinking analysis," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(3), pages 368-376, May.
  • Handle: RePEc:bla:srbeha:v:38:y:2021:i:3:p:368-376
    DOI: 10.1002/sres.2789
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sres.2789
    Download Restriction: no

    File URL: https://libkey.io/10.1002/sres.2789?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
    ---><---

    References listed on IDEAS

    as
    1. David Rousseau, 2019. "A vision for advancing systems science as a foundation for the systems engineering and systems practice of the future," Systems Research and Behavioral Science, Wiley Blackwell, vol. 36(5), pages 621-634, September.
    2. Mike Yearworth, 2020. "The theoretical foundation(s) for Systems Engineering?," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(1), pages 184-187, January.
    3. David Rousseau, 2020. "The Theoretical Foundation(s) for Systems Engineering? Response to Yearworth," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(1), pages 188-191, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Michael C. Jackson, 2021. "Critical systems practice 2: Produce—Constructing a multimethodological intervention strategy," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(5), pages 594-609, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kelley E. Dugan & Erika A. Mosyjowski & Shanna R. Daly & Lisa R. Lattuca, 2022. "Systems thinking assessments in engineering: A systematic literature review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(4), pages 840-866, July.
    2. Christian Hoyer & Indra Gunawan & Carmen Haule Reaiche, 2020. "The Implementation of Industry 4.0 – A Systematic Literature Review of the Key Factors," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 557-578, July.
    3. David Rousseau, 2020. "The Theoretical Foundation(s) for Systems Engineering? Response to Yearworth," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(1), pages 188-191, January.
    4. Alejandro Salado, 2021. "A systems‐theoretic articulation of stakeholder needs and system requirements," Systems Engineering, John Wiley & Sons, vol. 24(2), pages 83-99, March.
    5. Mike Yearworth, 2020. "The theoretical foundation(s) for Systems Engineering?," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(1), pages 184-187, January.
    6. Marco Aurélio de Oliveira & Antonio Schalata Pacheco & André Hideto Futami & Luiz Veriano Oliveira Dalla Valentina & Carlos Alberto Flesch, 2023. "Self‐organizing maps and Bayesian networks in organizational modelling: A case study in innovation projects management," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(1), pages 61-87, January.

    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:bla:srbeha:v:38:y:2021:i:3:p:368-376. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1111/1092-7026 .

    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.