MétaCan
Menu
Back to cohort
Record W4391567827 · doi:10.55908/sdgs.v12i1.3023

The Effects of Work Stress and Workload on Job Satisfaction With its Impact on Employee Performance at PT. Industrial Kapal Indonesia (Persero)

2024· article· en· W4391567827 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.

Bibliographic record

VenueJournal of Law and Sustainable Development · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEmployee Performance and Management
Canadian institutionsImpact
Fundersnot available
KeywordsWorkloadJob satisfactionWork (physics)Operations managementBusinessComputer scienceManagementEngineeringEconomicsMechanical engineering

Abstract

fetched live from OpenAlex

Objective: Performance is necessary to increase one's capacity to handle competition. Several reasons, such as time constraints, physical and mental exhaustion, and taking on several duties, can lead to excessive workloads, which in turn can cause stress in some employees and lower performance. This study attempts to ascertain the impact of work stress and workload on job satisfaction with its impact on employee performance at PT Industri Kapal Indonesia (Persero). Method: Cross-sectional study design in quantitative research. 104 employees who were chosen by simple random sampling participated in the study. A questionnaire and the Pulse Oximeter Tool were used to measure the variables related to physical workload. Path analysis was used to examine the data using Analysis Moment of Structural (AMOS) software. Results: The results showed that there is an effect of work stress on job satisfaction (p=0.002), work period affects job satisfaction (p=0.000), mental workload affects job satisfaction (p=0.026), physical workload does not affect on job satisfaction (p=0.649), there is no direct effect of work stress on employee performance (p=0.666), work period affects employee performance (p=0.002), mental workload affects employee performance (p=0.014), physical workload affects employee performance (p=0,000), work stress has an indirect effect on employee performance through job satisfaction (p=0.005), work period has an indirect effect on employee performance through job satisfaction (p=0.002), mental workload has an indirect effect on employee performance through job satisfaction (p=0.035), physical workload has no indirect effect on employee performance through job satisfaction (p=0.539). Conclusion: Furthermore, there is a significant impact on workload and work exhaustion. More investigation is being done on additional variables that may impact output at work. Implication of the research: This research can contribute to increasing employee’s awareness of work stress and workload that can have an impact on performance. In the workplace. The results of this study can help companies to reduce the level of stress and workload experienced by employees and can increase employee job satisfaction so that employee performance continues to increase. Originality: This journal presents a study of work stress and workload with its impact on employee performance considering that previous studies have not discussed work stress and physical and mental loads together. These findings explain the importance of maintaining stress levels and physical and mental health in determining the increase and decrease in employee performance.

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)0.001
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 score0.114
Threshold uncertainty score0.667

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.012
GPT teacher head0.267
Teacher spread0.255 · 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