The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Information and communication technology use, work intensification and employee strain and distress
Abstract
Recent scholarship on work suggests that information and communication technology (ICT) use may be significantly altering job conditions in ways that are indicative of work intensification, which, in turn, contributes to employee strain and distress. This article uses structural equation modelling and OLS regression techniques to analyse 2002 survey data drawn from a nationally representative sample of US employees in order to assess the pathways through which ICT use may influence levels of employee strain and distress. It is found that use is linked to higher levels of employee strain and distress via a work intensification process that is indicated by faster-paced work and greater levels of interruptions and multitasking. However, there is also evidence that both work and personal ICT use may mitigate these influences. While the findings do suggest that ICT use can have negative implications for contemporary workers, as a whole the results support a more nuanced view that points to both costs and benefits associated with ICT use.
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Citations
Cites
Missing data: our view of the state of the art
Schafer, J. L., & Graham, J. W. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.2.147 · Cited by 11,638
Stress and Health: Major Findings and Policy Implications
Thoits, P. A. (2010) · Journal of Health and Social Behavior · doi:10.1177/0022146510383499 · Cited by 1,967 · cited 1×
“We know that job conditions can foster chronic sources of strain (Bellavia and Frone, 2005; Schieman et al., 2006) and that correlations between chronic sources of strain and distress are substantial and outpace the influence of stressful life events and trauma (Thoits, 2010).”
BackgroundThe cost of interrupted work: more speed and stress
Mark, G., Gudith, D., & Klocke, U. (2008) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1357054.1357072 · Cited by 728 · cited 2×
“It is already known that interruptions can be detrimental to work processes (Jett and George, 2003; Mark et al., 2008), and other research has suggested a link between both interruptions and multitasking and reduced employee well-being (Mark et al., 2008).”
Background"Constant, constant, multi-tasking craziness": managing multiple working spheres
González, V. M., & Mark, G. (2004) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/985692.985707 · Cited by 715
E-mail as a source and symbol of stress
Barley, S. R., Meyerson, D. E., & Grodal, S. (2011) · Organization Science · doi:10.1287/orsc.1100.0573 · Cited by 637
Bailey, B. P., & Konstan, J. A. (2006) · Computers in Human Behavior · doi:10.1016/j.chb.2005.12.009 · Cited by 600 · cited 1×
“Similarly, Baily and Konstan (2006) find that interruptions of all kinds generally heighten anxiety.”
BackgroundBlurring boundaries? Linking technology use, spillover, individual distress and family satisfaction
Chesley, N. (2005) · Journal of Marriage and Family · doi:10.1111/j.1741-3737.2005.00213.x · Cited by 506
Self-citationWhy Has Work Effort Become More Intense?
Green, F. (2004) · Industrial Relations: A Journal of Economy and Society · doi:10.1111/j.0019-8676.2004.00359.x · Cited by 408
Thomée, S., Dellve, L., Härenstam, A., & Hagberg, M. (2010) · BMC Public Health · doi:10.1186/1471-2458-10-66 · Cited by 181
E-mail characteristics, work performance and distress
Mano, R. S., & Mesch, G. S. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2009.08.005 · Cited by 129
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Children and Adolescents and Digital Media
Reid Chassiakos, Y. (., Radesky, J., Christakis, D., Moreno, M. A., Cross, C., COUNCIL ON COMMUNICATIONS AND MEDIA, Hill, D., Ameenuddin, N., Hutchinson, J., Levine, A., et al. (2016) · Pediatrics · doi:10.1542/peds.2016-2593 · Cited by 1,340
Digital inequalities and why they matter
Robinson, L., Cotten, S. R., Ono, H., Quan-Haase, A., Mesch, G., Chen, W., Schulz, J., Hale, T. M., & Stern, M. J. (2015) · Information, Communication & Society · doi:10.1080/1369118x.2015.1012532 · Cited by 1,216
Systematically reviewing remote e-workers’ well-being at work: a multidimensional approach
Charalampous, M., Grant, C. A., Tramontano, C., & Michailidis, E. (2019) · European Journal of Work and Organizational Psychology · doi:10.1080/1359432x.2018.1541886 · Cited by 743
Molino, M., Ingusci, E., Signore, F., Manuti, A., Giancaspro, M. L., Russo, V., Zito, M., & Cortese, C. G. (2020) · Sustainability · doi:10.3390/su12155911 · Cited by 532
Radesky, J. S., Kistin, C., Eisenberg, S., Gross, J., Block, G., Zuckerman, B., & Silverstein, M. (2016) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/dbp.0000000000000357 · Cited by 246
Metadata
- Authors
- Chesley, N.
- Venue
- Work, Employment and Society
- Publisher
- SAGE Publications
- Published
- 2014-03-10
- Volume
- 28
- Issue
- 4
- Pages
- 589-610
- ISSN
- 0950-0170 (ISSN-L)
- 1469-8722
- OpenAlex
- W2167081136
- Cited by
- 311
- References
- 10
- FWCI
- 19.55
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.