Coherence and transparency: some advice for qualitative researchers

Detalhes bibliográficos
Autor(a) principal: Coombs,Crispin
Data de Publicação: 2017
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Production
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132017000100324
Resumo: Abstract There is relatively little advice in the Engineering domain for undertaking qualitative studies. Researchers have to rely on generic guidance that may result in imprecise application of qualitative methods. A related discipline to Engineering is Information Systems (IS) and the experiences of the IS domain may provide some useful insights for undertaking qualitative studies. This paper synthesizes the guidance from the IS community for crafting high quality qualitative studies and manuscripts. It reports on five themes: i) Establishing philosophical underpinnings; ii) Clarifying theoretical aims; iii) Selecting qualitative methods; iv) Demonstrating rigour in qualitative data analysis; and v) Grappling with generalisation. The review stresses the importance of coherence and transparency for crafting qualitative research manuscripts and provides a list of reflective questions for qualitative research design.
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spelling Coherence and transparency: some advice for qualitative researchersQualitative studiesGuidanceData analysisCase studyGeneralisibilityInformation systemsEngineeringAbstract There is relatively little advice in the Engineering domain for undertaking qualitative studies. Researchers have to rely on generic guidance that may result in imprecise application of qualitative methods. A related discipline to Engineering is Information Systems (IS) and the experiences of the IS domain may provide some useful insights for undertaking qualitative studies. This paper synthesizes the guidance from the IS community for crafting high quality qualitative studies and manuscripts. It reports on five themes: i) Establishing philosophical underpinnings; ii) Clarifying theoretical aims; iii) Selecting qualitative methods; iv) Demonstrating rigour in qualitative data analysis; and v) Grappling with generalisation. The review stresses the importance of coherence and transparency for crafting qualitative research manuscripts and provides a list of reflective questions for qualitative research design.Associação Brasileira de Engenharia de Produção2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132017000100324Production v.27 2017reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/0103-6513.006817info:eu-repo/semantics/openAccessCoombs,Crispineng2017-10-23T00:00:00Zoai:scielo:S0103-65132017000100324Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2017-10-23T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv Coherence and transparency: some advice for qualitative researchers
title Coherence and transparency: some advice for qualitative researchers
spellingShingle Coherence and transparency: some advice for qualitative researchers
Coombs,Crispin
Qualitative studies
Guidance
Data analysis
Case study
Generalisibility
Information systems
Engineering
title_short Coherence and transparency: some advice for qualitative researchers
title_full Coherence and transparency: some advice for qualitative researchers
title_fullStr Coherence and transparency: some advice for qualitative researchers
title_full_unstemmed Coherence and transparency: some advice for qualitative researchers
title_sort Coherence and transparency: some advice for qualitative researchers
author Coombs,Crispin
author_facet Coombs,Crispin
author_role author
dc.contributor.author.fl_str_mv Coombs,Crispin
dc.subject.por.fl_str_mv Qualitative studies
Guidance
Data analysis
Case study
Generalisibility
Information systems
Engineering
topic Qualitative studies
Guidance
Data analysis
Case study
Generalisibility
Information systems
Engineering
description Abstract There is relatively little advice in the Engineering domain for undertaking qualitative studies. Researchers have to rely on generic guidance that may result in imprecise application of qualitative methods. A related discipline to Engineering is Information Systems (IS) and the experiences of the IS domain may provide some useful insights for undertaking qualitative studies. This paper synthesizes the guidance from the IS community for crafting high quality qualitative studies and manuscripts. It reports on five themes: i) Establishing philosophical underpinnings; ii) Clarifying theoretical aims; iii) Selecting qualitative methods; iv) Demonstrating rigour in qualitative data analysis; and v) Grappling with generalisation. The review stresses the importance of coherence and transparency for crafting qualitative research manuscripts and provides a list of reflective questions for qualitative research design.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132017000100324
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132017000100324
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-6513.006817
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
dc.source.none.fl_str_mv Production v.27 2017
reponame:Production
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