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

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dc.creatorMarcelo Werneck Barbosa
dc.creatorJonathan Simões Freitas
dc.creatorMarcelo Bronzo Ladeira
dc.date.accessioned2022-11-07T14:13:12Z
dc.date.accessioned2025-09-09T00:29:29Z
dc.date.available2022-11-07T14:13:12Z
dc.date.issued2017
dc.identifier.doi10.1504/ijlsm.2017.10006286
dc.identifier.issn17427967
dc.identifier.urihttps://hdl.handle.net/1843/46970
dc.languagepor
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofInternational Journal of Logistics Systems and Management (IJLSM)
dc.rightsAcesso Restrito
dc.subjectLogística empresarial
dc.subject.otherCentering resonance analysis
dc.subject.otherQualitative methods
dc.subject.otherSupply chain management
dc.subject.otherContent analysis
dc.subject.otherCentering theory
dc.subject.otherSystematic literature review
dc.titleQualitative studies in supply chain management research: potential contributions of centring resonance analysis
dc.typeArtigo de periódico
local.citation.epage58
local.citation.issue1
local.citation.spage42
local.citation.volume28
local.description.resumoThe 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.
local.publisher.countryBrasil
local.publisher.departmentFCE - DEPARTAMENTO DE CIÊNCIAS ADMINISTRATIVAS
local.publisher.initialsUFMG
local.url.externahttp://www.inderscience.com/info/inarticle.php?artid=85884

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