lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
Social media analytics – A structured data collection and analysis method in a digitalised society
Linnaeus University, School of Business and Economics, Department of Marketing and Tourism Studies (MTS).ORCID iD: 0000-0003-2632-6378
2023 (English)In: SAGE Research Methods Cases: Business & Management, Sage Publications, 2023Chapter in book (Refereed)
Place, publisher, year, edition, pages
Sage Publications, 2023.
National Category
Business Administration
Research subject
Economy, Marketing
Identifiers
URN: urn:nbn:se:lnu:diva-122625OAI: oai:DiVA.org:lnu-122625DiVA, id: diva2:1773984
Note

Ej belagd 20240206

Available from: 2023-06-24 Created: 2023-06-24 Last updated: 2024-02-06Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

SAGE Research Methods - Cases

Authority records

Öberg, Christina

Search in DiVA

By author/editor
Öberg, Christina
By organisation
Department of Marketing and Tourism Studies (MTS)
Business Administration

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 48 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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