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Record W4383067163 · doi:10.1080/13678868.2023.2232907

Micro-agency of human resource professionals in a large family firm: shaping the implementation of human resource development practices

2023· article· en· W4383067163 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHuman Resource Development International · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsSocioemotional selectivity theoryHuman resourcesBusinessAgency (philosophy)SubsidiaryHuman resource managementResource (disambiguation)Power (physics)Perspective (graphical)MarketingPublic relationsManagementSociologyMultinational corporationPsychologyPolitical scienceEconomicsFinance

Abstract

fetched live from OpenAlex

The implementation of Human Resource Development (HRD) practices in family firms presents several challenges. In attempting to protect the socioemotional wealth of the firm, family managers might design HRD practices that ignore the well-being of nonfamily employees. Moreover, Human Resource professionals (HRPs) may lack the power to influence HRD practices. We adopt an interpretive single case study of a large Mexican family firm to explore HRPs’ role in influencing mutual gains for the firm and its employees through HRD. The findings illustrate HRPs’ use of power over meaning to persuade family managers by creating a legitimate rhetoric that tailors HRD practices to foreign subsidiaries, and satisfies both family and nonfamily stakeholders. The paper has implications for the literature on HRD in family firms by drawing on the mutual gains’ perspective and the micro-agency of nonfamily executives.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.147
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.076
GPT teacher head0.357
Teacher spread0.281 · 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