Table 4.
View | % perceiving impact | Significantly more pronounced if … | Significantly less pronounced if … |
---|---|---|---|
More positive self-view of telework | 52.0% | Female; in a relationship but not cohabiting; better current health; infected by COVID-19 for the moment (probably); temporarily unemployed; higher % of work potentially done via telework | Tertiary education; more autonomous in job; sector is ICT or legal |
Hope for more telework in the future | 62.7% | Female; in a relationship but not cohabiting or in a relationship and cohabiting; uncertain about having been infected by COVID-19; sector is creative, agriculture and horticulture or marketing; temporarily unemployed; higher % of work potentially done via telework; temporarily extended telework | Tertiary education; living in the centre of a city; more satisfied with job; more autonomous in job; more feedback from others in job |
Believe in overall more telework in country in future | 85.3% | Resident family members (other than parents); better health for the moment; employed on permanent appointment in public sector; part-time contract; more feedback from others in job; temporarily extended telework | |
More positive self-view on digital meetings | 50.8% | Better current health; sector is agriculture and horticulture; higher % of work potentially done via telework | |
Hope for more digital meetings in the future | 48.8% | Higher number of resident children; province of Limburg; sector is human resources, agriculture and horticulture, management, marketing, education or sales; higher % of work potentially done via telework | |
Believe in overall more digital meetings in the country in future | 80.5% | Tertiary education; resident family members (other than parents); part-time contract; more feedback from others in job | Longer tenure in current job |
The proportion ‘perceiving impact’ corresponds to the sum of those who indicated ‘completely agree’ and ‘somewhat agree’ to the related survey item (see Appendix A). The relationship to the personal and job characteristics was analysed by means of a linear regression analysis with heteroscedasticity-robust standard errors (in which all characteristics mentioned in Table 1 were included). The significance level was set as p < 0.05