Exploring the Impact of Organizational Support, Perceived Productivity, and Employee Status on the Organizational Commitment during the Mandatory Telework of COVID-19 Pandemic: Empirical Evidence with Algerian Employees
Bibliographic record
Abstract
This study investigates the impact of mandatory teleworking during the coronavirus disease 2019 (COVID-19) pandemic on organizational commitment (OC) among employees in Algeria. A sample of 408 respondents were utilized, consisting of employees from public sector companies in Algiers. Data were collected through an online questionnaire, and the methodology employed is quantitative, using statistical analysis to examine the relationship between teleworking conditions and levels of OC. The results highlight significant associations between commitment levels and factors such as teleworking duration, perceived employer support, perceived productivity, and employee status. This research adds to the existing literature by examining the unique challenges faced by employees during mandatory teleworking, particularly in Algeria, where teleworking practices are still emerging. The study provides practical recommendations for organizations to strengthen employee commitment as they navigate the evolving work environment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".