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Alla Konnikov

Biographic Data

ID216189
NAMEAlla Konnikov
GIVEN NAMESAlla
FAMILY NAMEKonnikov
SIGNATUREKONNIKOV A
AFFILIATIONSUniversity of Calgary
ORCID0000-0002-3448-4969
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS3
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Problematizing the role of artificial intelligence in hiring and organizational inequalities

    Open Access•Karen D Hughes, Alla Konnikov et al.•ARTICLE•Human Relations•2025•Cited by: 1•References: 14

    What are the implications of the growing use of artificial intelligence (AI) in recruitment and hiring for organizational inequalities? While advocates suggest that AI is a groundbreaking tool that can enhance hiring precision, efficiency, diversity and fit, critics raise serious concerns around bias, fairness, and privacy. This review article critically advances this debate by drawing on diverse scholarship across computing and data sciences; hu…

  • Intersections on the road to skills’ transferability

    Open Access•Alla Konnikov•ARTICLE•Canadian Review of Sociology/Revue…•2023•Cited by: 2•References: 30

    This paper focuses on the engineering profession in Canada, a regulated field with a large proportion of internationally trained professionals. Using Canadian census data, this study addresses two main questions. First, I ask whether immigrant engineers who were trained abroad are at increased disadvantage in gaining access (1) to employment in general, (2) to the engineering field, and (3) to professional and managerial employment within the fie…

  • Former Soviet Union Immigrant Engineers in Germany and Israel

    Open Access•Alla Konnikov, R Raijman•ARTICLE•Journal of International…•2016•References: 25

  • Intersections on the road to skills’ transferability

    Open Access•Alla Konnikov•ARTICLE•Canadian Review of Sociology/Revue…•2023•Cited by: 2•References: 30

    This paper focuses on the engineering profession in Canada, a regulated field with a large proportion of internationally trained professionals. Using Canadian census data, this study addresses two main questions. First, I ask whether immigrant engineers who were trained abroad are at increased disadvantage in gaining access (1) to employment in general, (2) to the engineering field, and (3) to professional and managerial employment within the fie…

  • Problematizing the role of artificial intelligence in hiring and organizational inequalities

    Open Access•Karen D Hughes, Alla Konnikov et al.•ARTICLE•Human Relations•2025•Cited by: 1•References: 14

    What are the implications of the growing use of artificial intelligence (AI) in recruitment and hiring for organizational inequalities? While advocates suggest that AI is a groundbreaking tool that can enhance hiring precision, efficiency, diversity and fit, critics raise serious concerns around bias, fairness, and privacy. This review article critically advances this debate by drawing on diverse scholarship across computing and data sciences; hu…

  • Former Soviet Union Immigrant Engineers in Germany and Israel

    Open Access•Alla Konnikov, R Raijman•ARTICLE•Journal of International…•2016•References: 25

  • Intersections on the road to skills’ transferability

    Open Access•Alla Konnikov•ARTICLE•Canadian Review of Sociology/Revue…•2023•Cited by: 2•References: 30

    This paper focuses on the engineering profession in Canada, a regulated field with a large proportion of internationally trained professionals. Using Canadian census data, this study addresses two main questions. First, I ask whether immigrant engineers who were trained abroad are at increased disadvantage in gaining access (1) to employment in general, (2) to the engineering field, and (3) to professional and managerial employment within the fie…

  • Problematizing the role of artificial intelligence in hiring and organizational inequalities

    Open Access•Karen D Hughes, Alla Konnikov et al.•ARTICLE•Human Relations•2025•Cited by: 1•References: 14

    What are the implications of the growing use of artificial intelligence (AI) in recruitment and hiring for organizational inequalities? While advocates suggest that AI is a groundbreaking tool that can enhance hiring precision, efficiency, diversity and fit, critics raise serious concerns around bias, fairness, and privacy. This review article critically advances this debate by drawing on diverse scholarship across computing and data sciences; hu…

Gender Studies (2 works) · Immigration (2 works) · Law (2 works) · Political science (2 works) · Sociology (2 works) · Census (1 work) · Cultural assimilation (1 work) · Demography (1 work) · Demography (1 work) · Digital Economy and Work Transformation (1 work)

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