IDEAS home Printed from https://ideas.repec.org/a/ids/injams/v10y2018i2p105-126.html
   My bibliography  Save this article

The WINGS method with multiple networks and its application to innovation projects selection

Author

Listed:
  • Jerzy Michnik

Abstract

The paper presents a comprehensive method for supporting important decisions with long-term consequences for an organisation. The proposed approach combines multiple weighted influence nonlinear gauge system (WINGS) networks into a single model comprising a broad analysis of benefits, opportunities, costs and risks (BOCR). Practicality of the presented solution is demonstrated with the illustrative example of selecting innovation projects.

Suggested Citation

  • Jerzy Michnik, 2018. "The WINGS method with multiple networks and its application to innovation projects selection," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 10(2), pages 105-126.
    • Handle: RePEc:ids:injams:v:10:y:2018:i:2:p:105-126
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=92077
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Dariusz Banaś & Jerzy Michnik, 2019. "Evaluation of the Impact of Strategic Offers on the Financial and Strategic Health of the Company—A Soft System Dynamics Approach," Mathematics, MDPI, vol. 7(2), pages 1-20, February.
    2. Sarfaraz Hashemkhani Zolfani & Alireza Nemati & Pedro J. Reyes-Norambuena & Carlos A. Monardes-Concha, 2022. "A Novel MCDM Approach Based on OPA-WINGS for Policy Making in Undergraduate Elective Courses," Mathematics, MDPI, vol. 10(22), pages 1-19, November.
    3. Jerzy Michnik & Artur Grabowski, 2020. "Modeling Uncertainty in the Wings Method Using Interval Arithmetic," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 221-240, January.
    4. Tavana, Madjid & Khalili Nasr, Arash & Mina, Hassan & Michnik, Jerzy, 2022. "A private sustainable partner selection model for green public-private partnerships and regional economic development," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    5. Anna Adamus-Matuszyńska & Jerzy Michnik & Grzegorz Polok, 2019. "A Systemic Approach to City Image Building. The Case of Katowice City," Sustainability, MDPI, vol. 11(16), pages 1-20, August.

    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:ids:injams:v:10:y:2018:i:2:p:105-126. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=286 .

    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.