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Record W3109805468 · doi:10.5267/j.msl.2020.11.028

Unravelling the HRM practices and performance link in Malaysian SMEs: The role of organizational innovation

2020· article· en· W3109805468 on OpenAlexvenueno aff
Nazlina Zakaria, Francis Chuah Chin Wei, Nor Azimah Chew Abdullah, Rushami Zien Yusoff

Bibliographic record

VenueManagement Science Letters · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMediationBusinessKnowledge managementOrganizational performanceLinkage (software)Performance appraisalKnowledge sharingHuman resource managementMarketingManagementComputer scienceSociologyEconomics

Abstract

fetched live from OpenAlex

Many studies have focused on direct link between HRM practices and organizational performance. There is a strong relationship between these two variables that driven further research to identify the mechanism through which such relationship exists. Following resource-based view (RBV), the aim of this research was to investigate the indirect effect of organizational innovation on HRM practices-performance linkage. Data was collected from owners/managers of manufacturing SMEs in West Malaysia. 331 (60.5%) distributed questionnaires were received and analyzed through PLS-SEM. Out of six hypotheses on mediation, only one hypothesis was rejected. The findings strongly supported the RBV theory when organizational innovation significantly mediated the relationship. These results clearly indicate that organizational innovation plays an intermediate role between HRM practices (i.e. communication and information sharing, compensation, selection, performance appraisal, and training and development) and organizational performance of SMEs.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.013
GPT teacher head0.209
Teacher spread0.196 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2020
Admission routes1
Has abstractyes

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