Employee and Organizational Impacts of Flexitime Work Arrangements
Bibliographic record
Abstract
There is evidence of heavy job demands and low control resulting in multiple negative consequences for employees and their families. Understandably, there is then a desire to move away from such practices and adopt more flexible organizational systems. In such environments, employees may be more in control of their workloads, and manage a better balance between life and work. Flexitime provides increased opportunity to fit other commitments and activities in with work, and make better use of their free time. As employees can choose their own start and finish times for the working day, they can take a little extra time off in a week. It is argued that creating such opportunities improve motivation and raises morale. This also allows for lower stress in the work place and greater enjoyment in the home. Consequently, employees experience increased performance in the work place and greater repertoire for marketing to new employers. Using WERS (The British Workplace Employee Relations Survey), the present study examines the nature of such relationships, and specifi cally explores the usage of flexitime and employee and organizational outcomes. WERS provides a useful set of information about work environment, job characteristics, and occupation, permitting researchers to conduct a more detailed analysis of individual employee behaviour. We develop our hypotheses based on the organizational behaviour literature that is concerned with exploring the nature of individual and organizational responses in challenging and stressful environments. Our results show a negative relationship between flexitime and job security. There is also no evidence of establishments with flexitime work arrangements having less stressed employees. Flexitime may however lead to increased employee participation in decision making as measured by employee discretion and team work. Our fi ndings thus stress the need to be cautious about how we build the case for the adoption of flexitime.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".