The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Assessing the growth of remote working and its consequences for effort, well‐being and work‐life balance
Open accessAbstract
This article critically assesses the assumption that more and more work is being detached from place and that this is a ‘win‐win’ for both employers and employees. Based on an analysis of official labour market data, it finds that only one‐third of the increase in remote working can be explained by compositional factors such as movement to the knowledge economy, the growth in flexible employment and organisational responses to the changing demographic make‐up of the employed labour force. This suggests that the detachment of work from place is a growing trend. This article also shows that while remote working is associated with higher organisational commitment, job satisfaction and job‐related well‐being, these benefits come at the cost of work intensification and a greater inability to switch off.
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“The most cited article in the journal to date is Felstead and Henseke's (2017) piece on the growth of remote working and its consequences for effort, well-being and work-life balance.”
From Reflecting on 40 Years of New Technology, Work and Employment: Insights From the Current Editors on the Past and Prospects for the Future (2026) · cites this paper as Felstead and Henseke 2017
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“the majority of the piece's citations followed the outbreak of the pandemic.”
From Reflecting on 40 Years of New Technology, Work and Employment: Insights From the Current Editors on the Past and Prospects for the Future (2026) · cites this paper as Felstead and Henseke 2017
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“the article with the most full-text views is the same as the article with the most citations -Felstead and Henseke's (2017) piece on the growth of remote working.”
From Reflecting on 40 Years of New Technology, Work and Employment: Insights From the Current Editors on the Past and Prospects for the Future (2026) · cites this paper as Felstead and Henseke 2017
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Citations
Cites
The norm of reciprocity: A preliminary statement
Gouldner, A. W. (1960) · American Sociological Review · doi:10.2307/2092623 · Cited by 12,001
Social Exchange Theory: An Interdisciplinary Review
Cropanzano, R., & Mitchell, M. S. (2005) · Journal of Management · doi:10.1177/0149206305279602 · Cited by 10,068
Does Working from Home Work? Evidence from a Chinese Experiment *
Bloom, N., Liang, J., Roberts, J., & Ying, Z. J. (2015) · The Quarterly Journal of Economics · doi:10.1093/qje/qju032 · Cited by 1,991
The measurement of well-being and other aspects of mental health.
Warr, P. (1990) · Journal of Occupational Psychology · doi:10.1111/j.2044-8325.1990.tb00521.x · Cited by 1,490
Entrapped by the ‘electronic panopticon’? Worker resistance in the call centre
Bain, P., & Taylor, P. (2000) · New Technology, Work and Employment · doi:10.1111/1468-005x.00061 · Cited by 546
Cited by
Good Gig, Bad Gig: Autonomy and Algorithmic Control in the Global Gig Economy
Wood, A. J., Graham, M., Lehdonvirta, V., & Hjorth, I. (2019) · Work, Employment and Society · doi:10.1177/0950017018785616 · Cited by 2,209
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
E-Leadership and Teleworking in Times of COVID-19 and Beyond: What We Know and Where Do We Go
Contreras, F., Baykal, E., & Abid, G. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.590271 · Cited by 809
“After 2000s, work has been increasingly detached from on-site (Felstead and Henseke, 2017) to facilitate the workforce and to provide better services to the customers.”
BackgroundMaking gigs work: digital platforms, job quality and worker motivations
Dunn, M. (2020) · New Technology, Work and Employment · doi:10.1111/ntwe.12167 · Cited by 213
Das, M., Tang, J., Ringland, K. E., & Piper, A. M. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3449282 · Cited by 142
Telework: Outcomes and Facilitators for Employees
Beauregard, T. A., Basile, K. A., & Canonico, E. (2019) · The Cambridge Handbook of Technology and Employee Behavior · doi:10.1017/9781108649636.020 · Cited by 134
Understanding the telework experience of people with disabilities
Tang, J. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3449104 · Cited by 109
Towards a Metaverse Workspace: Opportunities, Challenges, and Design Implications
Park, H., Ahn, D., & Lee, J. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581306 · Cited by 72
Neurodiversity and remote work in times of crisis: lessons for HR
Szulc, J. M., McGregor, F.-L., & Cakir, E. (2023) · Personnel Review · doi:10.1108/pr-06-2021-0469 · Cited by 63
Mixed Abilities and Varied Experiences: a group autoethnography of a virtual summer internship
Mack, K., Das, M., Jain, D., Bragg, D., Tang, J., Begel, A., Beneteau, E., Davis, J. U., Glasser, A., Park, J. S., et al. (2021) · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3441852.3471199 · Cited by 68
Interruptions in Remote Work: a Resource-based Model of Work and Family Stress
Perry, S. J., Carlson, D. S., Kacmar, K. M., Wan, M., & Thompson, M. J. (2023) · Journal of Business and Psychology · doi:10.1007/s10869-022-09842-y · Cited by 54
Haun, V. C., Remmel, C., & Haun, S. (2022) · German Journal of Human Resource Management: Zeitschrift für Personalforschung · doi:10.1177/23970022221079048 · Cited by 38
Olsen, K. M., Hildrum, J., Kummen, K., & Leirdal, C. (2023) · Employee Relations: The International Journal · doi:10.1108/er-05-2022-0230 · Cited by 31
The Child Labor in Social Media: Kidfluencers, Ethics of Care, and Exploitation
Clark, D. R., & Jno-Charles, A. B. (2025) · Journal of Business Ethics · doi:10.1007/s10551-025-05953-7 · Cited by 25
(2021) · Educational Data Mining · Cited by 21
Technostress of HR professionals: the darker implication of remote work transformations
Nayak, S., Budhwar, P., & Malik, A. (2025) · The International Journal of Human Resource Management · doi:10.1080/09585192.2024.2446508 · Cited by 16
Analyzing the impact of the shift to remote work mode on middle managers’ well-being in the pandemic
Sandoval-Reyes, J., Revuelto-Taboada, L., & Duque-Oliva, E. J. (2023) · European Research on Management and Business Economics · doi:10.1016/j.iedeen.2023.100217 · Cited by 13
Hodder, A., Valizade, D., Hardy, K., MacKenzie, R., & Smith, A. (2026) · New Technology, Work and Employment · doi:10.1111/ntwe.70054
Metadata
- Authors
- Felstead, A., & Henseke, G.
- Venue
- New Technology, Work and Employment
- Publisher
- Wiley
- Published
- 2017-10-04
- Volume
- 32
- Issue
- 3
- Pages
- 195-212
- ISSN
- 0268-1072 (ISSN-L)
- 1468-005X
- OpenAlex
- W2752832772
- Cited by
- 909
- References
- 5
- FWCI
- 56.61
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.