MétaCan
Menu
Back to cohort
Record W3034729046 · doi:10.5267/j.msl.2020.5.041

How the workplace spirituality influences work engagement through organizational commitment: Evidence from banking industry

2020· article· en· W3034729046 on OpenAlexvenueno aff
Agung Nugroho Adi, Noora Fithriana

Bibliographic record

VenueManagement Science Letters · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Spirituality and Leadership
Canadian institutionsnot available
Fundersnot available
KeywordsOrganizational commitmentBanking industryWorkplace spiritualityWork engagementBusinessWork (physics)PsychologyEmployee engagementSpiritualitySocial psychologyPublic relationsAccountingMedicinePolitical science

Abstract

fetched live from OpenAlex

This paper aimed to investigate the relationship between employee spirituality, organizational commitment, and work engagement in Banking-sector. 243 respondents were collected in this research which represents 81 percent response rate. Validity used Confirmatory Factor Analysis used KMO and Bartlett's tests, and the reliability test conducted in this study was Cronbach-Alpha (Minimum Score is 0.7). Moreover, assumption of classic test result for normality test used were Kolmogorov-Smirnov test, Heteroscedasticity used Park test. Findings. The research findings indicate that Workplace spirituality influenced on Organizational Commitment and Organizational Commitment influenced on Work Engagement. Also, the total score of Organizational Commitment mediated between Workplace Spirituality and Work Engagement. The findings in this research show the relationship model between work engagement, commitment, and work spirituality occurred both directly and indirectly where such relationship between workplace spirituality and work engagement was never measured in previous 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.130
GPT teacher head0.321
Teacher spread0.191 · 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 source (direct Gemma or distilled Codex), 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

Citations18
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueManagement Science LettersSame topicWorkplace Spirituality and LeadershipFrench-language works237,207