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Record W4404279805 · doi:10.1108/gm-04-2023-0130

Unpacking the presence of women as HR directors: organisational factors from MNCs subsidiaries operating in Canada

2024· article· en· W4404279805 on OpenAlexaffabout
Sondes Turki

Bibliographic record

VenueGender in Management An International Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsUnpackingSubsidiaryMultinational corporationBusinessBusiness administrationDemographic economicsEconomics

Abstract

fetched live from OpenAlex

Purpose This paper aims to examine the organisational factors responsible for the inclusion of women as Human Resource (HR) directors in Canadian-based subsidiaries of multinational companies (MNCs). Design/methodology/approach Based on the resource dependence theory, this study outlines the features of subsidiaries that appoint a woman HR director. Hypotheses were developed and assessed through analysis of a database obtained from a quantitative investigation. Analyses are based on 100 multinational subsidiaries operating in Canada. Findings Three primary findings arise from this study. Firstly, the larger the subsidiary, the less likely it is for a woman to hold the position of HR director. Secondly, there is a positive and significant correlation between the percentage of women employed in an MNC subsidiary and the presence of women in the HR director position. Finally, MNC subsidiaries with high executive career progression autonomy are more likely to have a woman HR director than those lacking in such autonomy. Practical implications This study proposes improving the representation of women in HR director positions by increasing the percentage of women employed in organisations and by granting greater decision-making autonomy to subsidiaries of MNCs. Originality/value This paper contributes to broader research on gender inequality in leadership. This paper responds specifically to the dearth of research into gender inequality in HR directorships, despite HR as a profession being female dominated. This study focuses upon HR in multinational corporations – again, an under-researched area.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.080
GPT teacher head0.311
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes2
Has abstractyes

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