IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v28y2017i1p42-58.html
   My bibliography  Save this article

Qualitative studies in supply chain management research: potential contributions of centring resonance analysis

Author

Listed:
  • Marcelo Werneck Barbosa
  • Jonathan Simões Freitas
  • Marcelo Bronzo Ladeira

Abstract

The historical strong emphasis on quantitative studies in supply chain management (SCM) is giving place to more qualitative studies. The execution of SCM activities as well as interactions among participants in the chains generates lots of information which can be analysed using qualitative methods. A common methodological problem in such analyses is how to move beyond specific linguistic material to generalisations. One method suited for this is centring resonance analysis (CRA), which allows the synthesis of texts into smaller categories. This article discusses the contributions and potential future use of CRA in SCM field by performing a systematic literature review in studies that adopted this technique. Results showed that CRA has been adopted in SCM since 2010 in order to analyse documents that vary from training materials and corporate social reports to interviews and software documentation. A characterisation of methods applied in conjunction with CRA is also provided.

Suggested Citation

  • Marcelo Werneck Barbosa & Jonathan Simões Freitas & Marcelo Bronzo Ladeira, 2017. "Qualitative studies in supply chain management research: potential contributions of centring resonance analysis," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 28(1), pages 42-58.
    • Handle: RePEc:ids:ijlsma:v:28:y:2017:i:1:p:42-58
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=85884
    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.

    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:ijlsma:v:28:y:2017:i:1:p:42-58. 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=134 .

    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.