Cyberloafing as a mediating variable in the relationship between workload and organizational commitment
Bibliographic record
Abstract
The availability of the internet and its usage has become accessible to all and it has contributed to the ease of employees avoiding work pressure and leading it for non-work-related matters, which is cyberloafing. It has caused many problems in organizations and the most affected are organization commitment. The purpose of this study is to examine the impact of workload dimensions (psychological workload and physical workload) on organizational commitment. It also seeks to determine whether cyberloafing mediates the link between workload and organizational commitment. A survey was conducted on 304 employees of a mining company in Jordan. Descriptive statistics, correlation, multiple regression, and hierarchical regression analyses were performed to analyse the data using SPSS v23. The results showed that the workload significantly influenced the organizational commitment among the employees. Cyberloafing was found to partially mediate the link between both workload variables and organization commitment. The study was conducted in the mining industry in Jordan. Thus, future study is suggested to examine the model in other industries and countries.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".