Qualitative studies in supply chain management research: potential contributions of centring resonance analysis
Marcelo Werneck Barbosa,
Jonathan Simões Freitas and
Marcelo Bronzo Ladeira
International Journal of Logistics Systems and Management, 2017, vol. 28, issue 1, 42-58
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.
Keywords: centring resonance analysis; qualitative methods; supply chain management; content analysis; centring theory; systematic literature review; SLR. (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=85884 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijlsma:v:28:y:2017:i:1:p:42-58
Access Statistics for this article
More articles in International Journal of Logistics Systems and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().