Time Tetris: a longitudinal study on compressed schedules and workplace well-being at IKEA

Compressed schedules allow workers to condense weekly working hours into fewer, longer days in exchange for additional days off. Despite their popularity as a means to improve workplace well-being and combat burnout, rigorous longitudinal evidence on specific work-related outcomes—recovery from work, exhaustion, and burnout risk—remains scarce. Drawing on recovery theory (Effort-Recovery Model), extended time away from work is expected to support psychological detachment, yet sustained reductions in exhaustion and burnout are uncertain because overall demands persist. This study evaluates IKEA Belgium's 2024 implementation of optional compressed schedules, addressing three research questions: RQ1 Do workers report higher psychological detachment after transitioning to compressed schedules? RQ2 Do workers report changes in work-related exhaustion and burnout risk after transitioning? RQ3 How is time use on the additional days off associated with changes in detachment and exhaustion?

Prior reviews of nonstandard schedules note perceived benefits for work-life balance but limited longitudinal evidence on recovery and burnout. Compressed schedules may enhance psychological detachment by providing uninterrupted time off, analogous to vacations, consistent with the Effort-Recovery Model which posits recovery occurs when exposure to work ceases. However, empirical findings suggest psychological detachment does not reliably reduce exhaustion over time, and any relief from extended breaks fades after returning to work. Burnout experts argue compressed schedules are unlikely to lower overall burnout risk because they do not reduce underlying job demands. Comparative evidence indicates part-time workers, who are away from work more often, exhibit similar burnout risk to full-time workers. Early work suggested gendered reactions to compressed schedules, but recent evidence shows convergence; instead, time use on the extra day off (low-duty versus high-duty activities) may influence recovery, though evidence is mixed.

Design: Longitudinal study with four waves surrounding IKEA Belgium's rollout of optional compressed schedules following a national labor reform. Measurement timeline: Baseline (Nov 2023), placebo test for pre-trends (Feb 2024), first post-measurement ~3 months after implementation (Jun 2024), second post-measurement ~6 months after implementation (Aug 2024). Participants: All employees who expressed interest and completed the Compressed Schedule Reflection Tool at baseline (n=559) were invited to follow-ups, including those not ultimately treated to serve as a comparison group. Response counts: Feb 2024 n=101 (treated nₜ=70, comparison nᶜ=31); Jun 2024 n=111 (nₜ=79, nᶜ=32); Aug 2024 n=95 (nₜ=64, nᶜ=31). Selective attrition was assessed via logistic regressions on baseline outcomes and found non-significant. Measures: Psychological detachment via the 4-item Psychological Detachment Scale from the Recovery Experiences Questionnaire (1–5 Likert). Burnout Assessment Tool (12 items; 1–5 Likert) to compute work-related exhaustion factor and total burnout risk score; population norms: burnout risk M=2.02 (SD=0.66), exhaustion M=2.26 (SD=0.86). Moderator: Planned time use on additional days off categorized as low-duty (leisure, relaxing, social relations) or high-duty (household work, childcare, caregiving, additional job, construction/renovation, education). Controls: Gender, age, number of children, daily commute time (minutes), job seniority (years), telework possibility, management position, second job. Models: Within-subjects mixed-effects growth models for detachment, exhaustion, burnout risk with period indicators (placebo, post1, post2), low-duty day-off indicator, interaction terms, control variables; random intercepts per individual and random slopes for period; estimated variants without controls/interactions and with controls only. Between-subjects extended two-way fixed-effects models incorporating the comparison group, with respondent and time fixed effects, estimating period-by-treatment interactions and including time-varying controls. Inference: Alpha thresholds determined via Wulff and Taylor's Bayesian-frequentist approach (alphaN) with total observations of 353 (within treated across four periods) and 509 (treated + comparison across four periods), yielding upper alpha thresholds ~0.124 and ~0.111, conservatively rounded to 0.100 for marginal significance in tables; standard errors clustered at respondent level.

Psychological detachment increased among treated workers: within-subjects Model A showed post-measurement 1 β=0.255, p=.003 and post-measurement 2 β=0.448, p<.001; effects remained after controls. No pre-existing trend was observed in the placebo test. Between-subjects fixed-effects indicated the detachment increase at post-measurement 1 was related to treatment (β=0.337, p=.069, below the upper alpha threshold), but at post-measurement 2 both treated and non-treated increased similarly, with no additional treated effect (p=.198, p=.232). Work-related exhaustion showed no significant decreases for treated individuals and no differences versus comparison group. Burnout risk increased in within-subjects estimates at the placebo test (β=0.111, p=.034) and at post-measurement 2 (β=0.140, p=.033 or 0.238* with full model), but between-subjects estimates suggest the post-measurement 2 increase was not related to treatment (β=-0.107, p=.309). No significant interactions were detected between time use (low-duty vs high-duty) and outcomes across periods.

Findings support RQ1: compressed schedules were associated with increased psychological detachment, implying improved ability to mentally disengage during non-work time. Between-subjects evidence links the initial detachment gains to treatment, but the effect appears to fade during summer, potentially due to universal extended breaks; however, seasonal versus fading intervention influences cannot be distinguished, warranting multi-year testing. For RQ2, consistent with theory, increased detachment did not produce sustained reductions in exhaustion or overall burnout risk, reinforcing evidence that extended time off without reducing job demands does not ameliorate cumulative strain. For RQ3, time use on the additional day off did not moderate outcomes, contrary to expectations from recovery literature. Overall, results caution against assuming compressed schedules alone mitigate burnout; they may offer coping benefits without addressing underlying stressors.

This longitudinal case study adds internal validity to evidence on compressed schedules, showing they can enhance psychological detachment but do not reduce exhaustion or burnout risk in the longer term. The arrangement may help workers mentally switch off, yet underlying workplace demands remain. Policymakers and employers should not treat compressed schedules as a stand-alone solution to burnout; prevention requires addressing stressors within work design. Future research should adopt multi-year longitudinal designs with larger treated and comparison samples across multiple organizations, examine mechanisms behind detachment gains, investigate selection into compressed schedules, and assess potential seasonal dynamics.

Self-selection into treatment limits generalizability to contexts where compressed schedules are imposed (e.g., shift work), which have been linked to higher exhaustion and burnout. Modest sample sizes, especially in the comparison group, and a relatively short study duration constrain power and long-term inference. Potential spill-over effects on the comparison group (e.g., workload redistribution) cannot be ruled out. Possible seasonal effects (summer) may confound observed changes in detachment. While attrition followed baseline survey overload, analyses found no selective attrition on baseline outcomes; nonetheless, post-baseline participation declined. The study does not uncover mechanisms driving detachment improvements.