| Literature DB >> 34725153 |
Ashley V Whillans1, Jaewon Yoon2, Aurora Turek2, Grant E Donnelly3.
Abstract
In nine studies using archival data, surveys, and experiments, we identify a factor that predicts gender differences in time stress and burnout. Across academic and professional settings, women are less likely to ask for more time when working under adjustable deadlines (studies 1 to 4a). Women's discomfort in asking for more time on adjustable deadlines uniquely predicts time stress and burnout, controlling for marital status, industry, tenure, and delegation preferences (study 1). Women are less likely to ask for more time to complete their tasks because they hold stronger beliefs that they will be penalized for these requests and worry more about burdening others (studies 1 to 2d). We find no evidence that women are judged more harshly than men (study 3). We also document a simple organizational intervention: formal processes for requesting deadline extensions reduce gender differences in asking for more time (studies 4a to 5).Entities:
Keywords: burnout; gender; time stress; well-being; workplace practices
Mesh:
Year: 2021 PMID: 34725153 PMCID: PMC8609293 DOI: 10.1073/pnas.2105622118
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205
Sample characteristics by study
| Study 1 | Study 2a | Study 2b | Study 2c | Study 2d | Study 3 | Study 4a | Study 4b | Study 5 | |
|
| 575 | 651 | 599 | 600 | 596 | 872 | 103 | 767 | 975 |
| Sample source | Amazon Mechanical Turk (MTurk). | Panel service Qualtrics | MTurk | MTurk | MTurk | MTurk | United States Undergrads | United States Undergrads | United States Undergrads |
| % Female | 42.1 | 51.8 | 44.7 | 47.5 | 48.5 | 44.2 | 57.28 | 57.3 | 60.7 |
| Age | 35.80 | 43.60 | 37.42 | 38.13 | 40.50 | 37.50 | — | — | 22.00 |
| (SD = 9.65) | (SD = 12.60) | (SD = 9.94) | (SD = 11.23) | (SD = 11.00) | (SD = 10.21) | (SD = 4.11) |
Fig. 1.The effect of gender on time stress and burnout via comfort with requesting extensions (study 1).
Fig. 2.The effect of gender on willingness to request an extension through impression cost and relational orientation (study 2a).
Fig. 3.Men and women’s willingness to request an extension by target (studies 2b and 2c).
Supervisor’s attribution to male vs. female employee’s extension request (study 3)
| Male employee | Female employee |
| Statistics | Bayes factor | |||
| Mean (SD) | Mean (SD) |
| |||||
| Lack of skill | 3.70 (1.85) | 3.31 (1.94) | 870 | 3.07 | 0.002 | −0.21 | 0.02 |
| Lack of motivation | 3.96 (1.78) | 3.64 (1.84) | 870 | 2.62 | 0.009 | −0.17 | 0.02 |
| Personal reason | 4.26 (1.64) | 3.84 (1.73) | 870 | 3.68 | < 0.001 | −0.29 | 0.02 |
Note. n = 872. Bayes factor ≤ 0.10: Strong evidence for H0. Supervisor did not believe female (vs. male) employees were more likely to request a deadline extension for these reasons.