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Record W4414045622 · doi:10.5267/j.dsl.2025.8.004

Career development, work compensation and workload impact on work motivation by job satisfaction mediation in airline companies

2025· article· en· W4414045622 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

VenueDecision Science Letters · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEmployee Performance and Management
Canadian institutionsnot available
Fundersnot available
KeywordsAviationStructural equation modelingSample (material)Work (physics)WorkloadJob satisfactionMediationCompensation (psychology)Variable (mathematics)

Abstract

fetched live from OpenAlex

With satisfaction of job acting as a crucial mediating variable in the link between work compensation, career development, and Work Load, this study attempts to examine how these elements affect work motivation at Xyz Aviation Transportation Company. All 130 workers at the Jakarta-based Xyz Aviation Transportation Company, including managers, supervisors, engineers, marketers, administrative staff, and field workers, made up the study's population. The Structural Equation Model and Smart-PLS methodologies are utilized in an explanatory quantitative research design with total sampling (census sampling) as the sample methodology. Finding the influence value of the relationship between each study variable is the anticipated research outcome. Effect Size is a measure of the relationship's effect value between the research variables. The managerial implications, which include recommendations, follow-up, and tactics that company management must implement to establish dynamic working settings and circumstances with high job satisfaction and work motivation, will be prepared once the Effect Size value has been determined. It is anticipated that this study would offer insightful suggestions to the management of Xyz Aviation Transportation Company for developing practical plans to boost worker motivation and job happiness, which will enhance the caliber of services offered by the company.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
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 head0.030
GPT teacher head0.326
Teacher spread0.296 · 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