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Record W4401855054 · doi:10.1111/1748-8583.12571

Antecedents and outcomes of enabling HR practices: The paradox of consistency and flexibility

2024· article· en· W4401855054 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 Management Journal · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsSupervisorFlexibility (engineering)Knowledge managementHuman resource managementPsychologyConsistency (knowledge bases)Work (physics)Resource (disambiguation)BusinessProcess managementComputer scienceManagementEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Reconciling competing demands for consistent HR implementation and providing individualized supervisor support to employees has always been a challenge in strategic human resource management. Given that there is burgeoning evidence that frontline managers (FLMs) are at the center of HR implementation, we examine how the organization helps FLMs reconcile demands for consistent HR implementation and deliver individualized support to those under their supervision. With the data from 181 FLMs and 311 employees reported to these FLMs, we find that FLMs' perceived enabling HR practices mediate the relationship between high‐performance work systems and FLMs' willingness to be flexible (WTBF). Furthermore, WTBF mediates the relationship between FLMs' perceived enabling HR practices and consistent HR implementation and between FLMs' perceived enabling HR practices and employees' individualized support. Our study offers new insights by highlighting that an effective HR system is not merely improving FLMs' HR competency and knowledge but capturing FLMs' WTBF in carrying on a broad range of HR tasks. Furthermore, our study provides an expanded and novel understanding that FLMs will likely face two opposite HR tasks that coexist and should be dealt with simultaneously as a pair. We then discuss the theoretical and practical implications of our findings and suggest future research directions.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.395

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.309
Teacher spread0.267 · 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