US Edition
Work Smarter: Shorter Week Improves Employee Wellbeing
MULTIPLE COUNTRIES INCLUDING AUSTRALIA, CANADA, IRELAND, NEW ZEALAND, THE UK, AND THE USA, JUL 21 – A global trial across 141 companies found that reducing work hours to four days improved wellbeing and productivity for nearly 2,900 employees without pay
- On Monday, the journal Nature Human Behaviour published a study by Boston University academics, reporting that six-month trials across 141 organizations improved employees’ wellbeing.
- Mechanistically, under the four-day week model, work ability improved, sleep problems decreased and fatigue fell, driving the positive wellbeing outcomes.
- Comparatively, 285 employees at 12 control companies saw no wellbeing improvement.
- These workers reported the largest reductions in burnout and notable improvements in job satisfaction and mental health.
- To address the productivity slump, the Australian Bureau of Statistics reports a 1% decline in labour productivity in March despite a 2.3% rise in hours worked, as the federal government prepares for its Economic Reform Roundtable in Canberra to explore resilience.
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19 Articles
19 Articles
Who shortens working time with full wage compensation, lives healthier and is more satisfied – and also does not even suffer from output. This shows a new study. Is the four-day week the solution? Would be nice.
·Munich, Germany
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Researchers have evaluated the advantages and disadvantages of the 4-day work week in 6 different countries. Their work, published this week in "Nature", shows that employees appreciate having an extra day of rest. And that most voluntary companies have continued this rhythm after the experience has been completed. - This is revealed by a large study of the 4-day work week (Pro Life and Employment).
The IndependentReposted by 
The Independent (US)
The Independent (US)A four-day work week improves productivity and health, new study shows
·London, United Kingdom
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Total News Sources19
Leaning Left6Leaning Right1Center2Last UpdatedBias Distribution67% Left
Bias Distribution
- 67% of the sources lean Left
67% Left
L 67%
C 22%
11%
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