https://www.mdu.se/

mdu.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Working within the shadow: what do we do with "not-yet" data?
Univ Valle DAosta, Dept Human & Social Sci, Aosta, Italy..ORCID-id: 0000-0002-4568-8246
Univ Trento, Dept Sociol, Trento, Italy..ORCID-id: 0000-0001-7026-2418
2020 (Engelska)Ingår i: Qualitative research in organization and management, ISSN 1746-5648, E-ISSN 1746-5656, Vol. 15, nr 2, s. 145-159Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Purpose The purpose of this paper is to explore the possibilities opened up by those messy, unclear and indeterminate data in research situations that may be described as being in the shadow and may as such remain in a state of vagueness and indeterminacy. Design/methodology/approach The paper draws on the extant literature on shadow organizing and post-qualitative methodologies. It focuses attention on not-yet (or shadow data) in order to ponder over what researchers do to data when they are not (yet) black-boxed as such. At the same time, it investigates what it is that not-yet data do to researchers. Findings Four types of "not-yet" data - illegible, wondrous and disorienting, hesitant and worn out - are presented and discussed. Data are illegible when a researcher is in the position of not knowing how to interpret what is in front of her/him. A second illustration is constructed around wonder, and poses the question of the feelings of surprise and disorientation that arise when facing uncanny realities. In a third situation, not-yet data are narrated as hesitation, when a participant feels conflicting desires and the researchers hesitates in interpreting. The fourth illustration depicts not-yet data as data that have been corrupted, that vanish after time or are worn out. Practical implications Not-yet data belong to researchers practice but can also be found in other professional practices which are concerned with the indeterminacy of shadowy situations. It is argued that situations like these constitute opportunities for learning and for the moral and professional development, so long as indeterminacy is kept open and a process of "slowing down" both action and interpretation is nurtured. Originality/value This paper is of value for taking the metaphor of shadow organizing further. Moreover, it represents a rare attempt to bring the vast debate on post-qualitative research/methodologies into management studies, which with very few exceptions seems to have been ignored by organization studies.

Ort, förlag, år, upplaga, sidor
EMERALD GROUP PUBLISHING LTD , 2020. Vol. 15, nr 2, s. 145-159
Nyckelord [en]
Data, Professional development, Shadow organizing, Not-yet data, Post-qualitative research
Nationell ämneskategori
Annan samhällsvetenskap
Identifikatorer
URN: urn:nbn:se:mdh:diva-51895DOI: 10.1108/QROM-09-2018-1684ISI: 000530062200004Scopus ID: 2-s2.0-85067548923OAI: oai:DiVA.org:mdh-51895DiVA, id: diva2:1484079
Tillgänglig från: 2020-10-27 Skapad: 2020-10-27 Senast uppdaterad: 2020-10-27Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Person

Gherardi, Silvia

Sök vidare i DiVA

Av författaren/redaktören
Benozzo, AngeloGherardi, Silvia
I samma tidskrift
Qualitative research in organization and management
Annan samhällsvetenskap

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 67 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf