Cited by 247Work-Family Balance ChallengesTechnostress in Professional SettingsCorporate Management and Leadership

Managing work⿿life boundaries in the digital age

Open access
Kossek, Ellen Ernst·2016·Organizational Dynamics

Integrity signals

Registry

Crossref · 10.1016/j.orgdyn.2016.07.010

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  • Without the customary division between home and work life, some individuals struggled to separate professional and personal identities and commitments, which negatively impacted on their well-being.

    “Without the customary division between home and work life, some individuals struggled to separate professional and personal identities and commitments, which negatively impacted on their well‐being (Kossek, 2016; Wepfer et al., 2018).”

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References 4 · Cited by 247

Authors
Kossek, E. E.
Affiliations
Purdue University West Lafayette (US)
Corresponding author
Kossek, Ellen Ernst
Venue
Organizational Dynamics
Publisher
Elsevier BV
Published
2016-07
Volume
45
Issue
3
Pages
258-270
ISSN
0090-2616 (ISSN-L)
OpenAlex
W2525919961
Cited by
247
References
4
Citations by year
2026: 28 · 2025: 29 · 2024: 26 · 2023: 35 · 2022: 43 · 2021: 27 · 2020: 23 · 2019: 17 · 2018: 14 · 2017: 3 · 2016: 2
FWCI
31.09
Type
journal article
Language
en
Open access
Locations
  • Organizational Dynamics (publishedVersion, cc-by-nc-nd)
  • Purdue e-Pubs (Purdue University System) (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Work-Family Balance Challenges
  • Social Sciences › Psychology › Social Psychology › Technostress in Professional Settings
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Corporate Management and Leadership
Keywords
work-life boundaries, work-life balance, digital technologies, remote work, digital divide, boundary management

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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