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Record W3120934863 · doi:10.5267/j.msl.2020.12.023

Engaging employees through compensation fairness, job Involvement, organizational commitment: The roles of employee spirituality

2021· article· en· W3120934863 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueManagement Science Letters · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEmployee Performance and Management
Canadian institutionsnot available
Fundersnot available
KeywordsEmployee engagementPsychologyModerationWorkplace spiritualitySocial psychologyCronbach's alphaEmployee researchConfirmatory factor analysisTest (biology)Organizational commitmentApplied psychologyBusinessPublic relationsMarketingSpiritualityPsychometricsClinical psychologyPolitical science

Abstract

fetched live from OpenAlex

This paper aims to investigate the role of Employee Spirituality to moderate between Compensation fairness and Employee Engagement, Job involvement and Employee Engagement, organizational commitment, and employee engagement. In this survey, 279 respondents were collected with a 75 percent response rate (139 respondents) from May to July 2020 and a 93.3 percent rate (140 questionnaires) from August until September 2020. Validity used Confirmatory Factor Analysis used KMO and Bartlett’s test, and the reliability test was based on Cronbach-Alpha. Moreover, Kolmogorov-Smirnov test is used for normality test, Park test is implemented for Heteroscedasticity and Multicollinearity test. Moderator Regression Analysis is used to identify the moderator types. The results indicate that Employee Spirituality fully moderated (Pure moderator) between Compensation fairness and Employee Engagement and between Organizational Commitment and Employee Engagement. Moreover, Employee Spirituality partially moderated between Job Involvement and Employee Engagement. The research suggests to implement the model in a narrow scope and considers many variables outside the Compensation fairness, Job Involvement, and Organizational Commitment.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.503
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.034
GPT teacher head0.296
Teacher spread0.262 · 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