Jenna A. Van Fossen, Nathan M. Baker, Elizabeth A. Mack, C. Chang, S. Cotten, Isabella Catalano
{"title":"The Moderating Effect of Scheduling Autonomy on Smartphone Use and Stress Among Older Workers","authors":"Jenna A. Van Fossen, Nathan M. Baker, Elizabeth A. Mack, C. Chang, S. Cotten, Isabella Catalano","doi":"10.1093/workar/waac017","DOIUrl":null,"url":null,"abstract":"\n Older adults’ smartphone use has been shown to be a double-edged sword, linked to health and social benefits but also creating vulnerabilities. Similarly, the use of smartphones and other information and communication technologies (ICTs) in organizations also affords workers advantages, such as increased flexibility, while exposing them to risks such as exhaustion and distress. This research examines older workers’ smartphone use and identifies a contextual characteristic that may buffer the negative implications of smartphone use for work purposes. Following the job demands–resources (JD-R) model, we hypothesized that older workers’ daily work-related smartphone use is positively related to their experienced stress and negatively related to their mood, and that these relationships would be attenuated by work scheduling autonomy. We conducted an experience sampling method (ESM) study with a sample of 38 workers (ages 50–64) who completed daily measures over 8 days, and tracked their smartphone use objectively using screenshots of time spent using various apps. Contrary to our expectations, smartphone use was not significantly related to stress or mood. There were significant cross-level interactions, such that smartphone use for work was negatively related to experienced stress and positively related to a positive mood for those with lower levels of scheduling autonomy. We interpret these findings and discuss the effects that technology use for work may have on older workers’ well-being through the lens of the JD-R model. Our results suggest that ICT use in the workplace combined with work scheduling autonomy may not be advantageous for workers’ well-being.","PeriodicalId":46486,"journal":{"name":"Work Aging and Retirement","volume":"28 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Work Aging and Retirement","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1093/workar/waac017","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INDUSTRIAL RELATIONS & LABOR","Score":null,"Total":0}
引用次数: 1
Abstract
Older adults’ smartphone use has been shown to be a double-edged sword, linked to health and social benefits but also creating vulnerabilities. Similarly, the use of smartphones and other information and communication technologies (ICTs) in organizations also affords workers advantages, such as increased flexibility, while exposing them to risks such as exhaustion and distress. This research examines older workers’ smartphone use and identifies a contextual characteristic that may buffer the negative implications of smartphone use for work purposes. Following the job demands–resources (JD-R) model, we hypothesized that older workers’ daily work-related smartphone use is positively related to their experienced stress and negatively related to their mood, and that these relationships would be attenuated by work scheduling autonomy. We conducted an experience sampling method (ESM) study with a sample of 38 workers (ages 50–64) who completed daily measures over 8 days, and tracked their smartphone use objectively using screenshots of time spent using various apps. Contrary to our expectations, smartphone use was not significantly related to stress or mood. There were significant cross-level interactions, such that smartphone use for work was negatively related to experienced stress and positively related to a positive mood for those with lower levels of scheduling autonomy. We interpret these findings and discuss the effects that technology use for work may have on older workers’ well-being through the lens of the JD-R model. Our results suggest that ICT use in the workplace combined with work scheduling autonomy may not be advantageous for workers’ well-being.