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Record W2981041818 · doi:10.1111/emre.12367

Human Resource Management in India: Performance and Complementarity

2019· article· en· W2981041818 on OpenAlex
Tamer K. Darwish, Geoffrey Wood, Satwinder Singh, Rahul Singh

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

VenueEuropean Management Review · 2019
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsComplementarity (molecular biology)BusinessUSableHuman resource managementYield (engineering)Human resourcesContext (archaeology)MarketingPsychological interventionScale (ratio)Knowledge managementIndustrial organizationEconomicsManagementPsychology

Abstract

fetched live from OpenAlex

This is a study of the relationship between HR practices and organisational performance of large‐scale enterprises in India. The main survey yielded 252 usable replies from the HR directors. Results show that mutually supportive sets of HR practices do not yield disproportionately superior outcomes than limited and focused individual practices. This highlights the limitations of strategic HRM in an Indian context. It seems there is little immediate benefit in developing sophisticated mutually supporting HR systems if particular firm or regionally relevant interventions yield clear benefits on their own right. These results highlight the limitations in national level institutions made for a general lack of complementarities, and/or that firms do not want to take the risk of over‐relying on a specific institutional feature that may be subject to change. We also find that innovative firms are not in any way more likely to adopt best HR practices to a greater degree than their less innovative counterparts. India's weak and uneven institutional coverage may open up more opportunities for HR innovation, but the lack of systemic support means that there are fewer opportunities for the latter to realise its fullest potential .

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.781
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.055
GPT teacher head0.384
Teacher spread0.329 · 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