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Linguistic and Ontological Concept Formation: The LION Method
Linköping University, Department of Management and Engineering, Information Systems and Digitalization. Linköping University, Faculty of Arts and Sciences.
2022 (English)In: Qualitative Report, ISSN 1052-0147, Vol. 27, no 12, p. 2715-2743Article in journal (Refereed) Published
Abstract [en]

Concept formation is a demanding task in social research. A methodological approach (called LION) is presented that emphasizes the clarification of concepts based on linguistic and ontological views. This method originates from a qualitative-pragmatist tradition of studies of work-practices in organizational settings and it is explicitly based on the linguistic turn and the practice turn in social research. It is also based on the articulation of seven conceptualization maxims. Its aim is to bring rigor to the conceptualizing process and clarity to resulting conceptualizations. The method is illustrated through an analysis example from service management. The concepts of "value-in-use" and "value generation" are critically analyzed using linguistically and ontologically oriented questions. The application of the LION method in qualitative research is discussed concerning research question formulation, collection, and analysis of data, review of extant theory, and final articulation of theoretical contribution.

Place, publisher, year, edition, pages
NOVA SOUTHEASTERN UNIV , 2022. Vol. 27, no 12, p. 2715-2743
Keywords [en]
conceptualization; linguistic turn; practice turn; language; ontology; qualitative research; pragmatism
National Category
Human Aspects of ICT
Identifiers
URN: urn:nbn:se:liu:diva-190953DOI: 10.46743/2160-3715/2022.5633ISI: 000895242700002OAI: oai:DiVA.org:liu-190953DiVA, id: diva2:1725026
Available from: 2023-01-10 Created: 2023-01-10 Last updated: 2023-02-03

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Goldkuhl, Göran
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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf