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Record W2130102663 · doi:10.1108/ijm-01-2014-0005

Impact of high-performance work systems on job satisfaction, organizational commitment, and intention to quit in Canadian organizations

2015· article· en· W2130102663 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Manpower · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsOrganizational commitmentPsychologyJob satisfactionContext (archaeology)Work systemsHuman resource managementSocial psychologyWork (physics)Applied psychologyKnowledge managementEngineeringComputer science

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to increase the understanding of the influence of high-performance work systems (HPWS) upon job satisfaction (JS), organizational commitment (OC) and intention to quit (QI). Design/methodology/approach – The data come from a questionnaire administered to 730 employees in different organizations. All questionnaires were administered “live,” in the presence of one or more members of the research team, with the ability to answer any of the respondents’ clarification questions. Findings – The results of this study allow the authors to better understand how the effects of HPWS are exerted on the intention to quit by highlighting the mediating role played by JS and OC. In addition, the results demonstrate a synergistic effect of HPWS, meaning that the combined effects of three sets of HR practices (skill-enhancing, motivation-enhancing and opportunity-enhancing practices) is greater than the sum of each set taken individually. Research limitations/implications – The cross-sectional nature of the study prevents the authors from inferring true causality between human resource management (HRM) practices and the attitudes and behaviors of employees. Only a longitudinal study measuring levels of JS, OC and quit intention before and after implementation of such practices would establish such causality. Practical implications – For leaders and managers of organizations seeking to reduce the rate of employee turnover, the results are eloquent: increased investment in a HPWS can significantly improve JS, helping to increase OC and reduce intention to quit. In the prevailing context of “talent war,” organizations that are the most proactive in the implementation of HRM systems, that is, systems designed to improve the skills of employees, to motivate them to use these skills and to empower them in their decision making at work, will be the employers that are more likely to retain skilled employees. Originality/value – This paper focusses on the complementary rather than aggregate effects of three sets of HRM practices, thus contributing to the discussion on the notion of complementarity among HRM practices, a notion that has been called into question in certain studies.

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)0.000
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 score0.033
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.014
GPT teacher head0.258
Teacher spread0.245 · 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