The Impact of Smartwork Activation on Organizational Performance - Focusing on Mediating Effects of Quality of Life and Moderating Effects of Manager’s Interest
Bibliographic record
Abstract
Background/Objectives: The interest in work-life balance has increased in Korea since the low birthrate problem intensified in the 2000s, and recently, a 52-hour workweek has been implemented depending on the size of the company to ensure work-life balance. Companies are also adopting the direction and policies of the government to spread job redesign or organizational culture that can bring work-life balance. Work-life balance is seen as a paradigm for high performance in modern society. Activation of smart work, which is a system that can work anytime and anywhere without being bound by time and place, is inevitable. It is assumed that the quality of life of the members of the organization will be improved through smartwork activation, and that the improvement of the quality of life will soon increase the organizational performanceMethods/Statistical analysis: This study utilizes the original data from the 2018 Smartwork Survey conducted by the Korea Information Society Agency, targeting employees of businesses with five or more business units and CEOs of businesses or heads of departments responsible for introducing and operating smart work. The survey collected samples using stratified sampling methods, and the survey was conducted online and in writing to 1,700 people from October 8, 2018 for 27 days. Finally, 566 data were hypothesized through SPSS 21.0 and AMOS structural model analysis.Findings: As a result of analyzing the effect of smart work on organizational performance through the effect of quality on life, Smartwork activation affects organizational performance, and the improvement of quality of life through time saving and work efficiency due to smartwork affects organizational performance. Managers' interest was found to play a moderating role in the structural relationship between smartwork activation, quality of life and organizational performance.Improvements/Applications: This study suggests smartwork activation by empirically analyzing the effect of smartwork activation on organizational performance by the mediating effect of quality of life for employees of companies working in smart office 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 | 0.002 | 0.004 |
| 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 | 0.000 |
| Open science | 0.000 | 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".