Umeå University's logo

umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • 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
THE VIABILITY OF AI-BASED RECRUITMENT PROCESS: A systematic literature review
Umeå University, Faculty of Social Sciences, Department of Informatics.
Umeå University, Faculty of Social Sciences, Department of Informatics.
2020 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Place, publisher, year, edition, pages
2020. , p. 25
Series
Informatik Student Paper Master (INFSPM) ; SPM 2020.03
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:umu:diva-172311OAI: oai:DiVA.org:umu-172311DiVA, id: diva2:1442986
Educational program
Master's Programme in IT Management
Supervisors
Examiners
Available from: 2020-06-18 Created: 2020-06-17 Last updated: 2020-06-18Bibliographically approved

Open Access in DiVA

AI-Recruitment-magister-Thesis-Javed-Brishti(702 kB)22815 downloads
File information
File name FULLTEXT01.pdfFile size 702 kBChecksum SHA-512
cd4ac751d745e02228e5de502dd6a70f9a8907459ea60dda7dc7ee8d12f497a3ebb5f0521456074c7d08c025fe7fca04304f88213a04580414b4d7f34946c6cb
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Brishti, Juthika KabirJaved, Ayesha
By organisation
Department of Informatics
Information Systems, Social aspects

Search outside of DiVA

GoogleGoogle Scholar
Total: 22835 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 2612 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • 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