Cited by 105Cyberloafing and Workplace BehaviorJob Satisfaction and Organizational BehaviorAI and HR Technologies

Evidence-based recommendations for employee performance monitoring

Tomczak, David L., Lanzo, Lauren A., Aguinis, Herman·2018·Business Horizons

Integrity signals

Registry

Crossref · 10.1016/j.bushor.2017.11.006

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

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Claims other papers make about this one

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  • Because data collected through monitoring devices is often used to assess performance, workers sometimes tend to work for data, focusing more on monitored tasks and eluding unmonitored ones, which can hamper task variety.

    “Because data collected through monitoring devices is often used to assess their performance, workers sometimes tend to”

Cites

Flagged first, then by citations

Authors
Tomczak, D. L., Lanzo, L. A., & Aguinis, H.
Affiliations
George Washington University (US)
Corresponding author
Aguinis, Herman
Venue
Business Horizons
Publisher
Elsevier BV
Published
2018-03
Volume
61
Issue
2
Pages
251-259
ISSN
0007-6813 (ISSN-L)
OpenAlex
W2772226518
Cited by
105
References
1
Citations by year
2026: 7 · 2025: 16 · 2024: 14 · 2023: 17 · 2022: 16 · 2021: 11 · 2020: 12 · 2019: 9 · 2018: 3
FWCI
17.06
Type
journal article
Language
en
Open access
closed
Locations
  • Business Horizons (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Demography › Cyberloafing and Workplace Behavior
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
Keywords
electronic performance monitoring, employee monitoring, perceived privacy, employee attitudes, transparency, job satisfaction, organizational commitment, perceived fairness, workplace surveillance, learning and development, deterrence, employee behavior, staff safety, wellness programs

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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.

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