Cited by 283AI and HR TechnologiesEthics and Social Impacts of AIEmployer Branding and e-HRM

A critical review of algorithms in HRM: Definition, theory, and practice

Cheng, Maggie M., Hackett, Rick D.·2021·Human Resource Management Review

Integrity signals

Registry

Crossref · 10.1016/j.hrmr.2019.100698

Cites

110 of 110 references verified0 citation errors · 0 not checkable

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Claims the paper makes

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Predictive algorithms operate regression-based forecasting techniques that help managers predict which employees are likely to leave the organization, or to predict the future performance of a job candidate.

    “These so-called predictive algorithms operate regression-based forecasting techniques that, for example, help managers predict which employees are likely to leave the organization (and thus how to make decisions about retention), or to predict the future performance of a job candidate (and thus help hiring managers with selection decisions) (Cheng & Hackett, 2021;Leicht-Deobald et al., 2019).”
  • Academic research on selected digital HRM activities, and any or all of its related components, lags the popularity of this term in practice.

    “In addition to lack of construct clarity, academic research on selected digital HRM activities, and any, or all, of its related components, lags the popularity of this term in practice.”

Cites

Flagged first, then by citations

Research works printed but not linked: 7

  1. Boulton, 2017, Think twice before you hire a chief AI officer, CIO. Retrieved from ProQuest Business Premium Collection.
  2. Feelders, 2002, Data mining in economic science, Dealing with the Data Flood, 166
  3. Gallagher, 2018, Social networks are losing friends, The Wall Street Journal, B10
  4. Kean, 2018, Bookshelf: Getting’ smarter all the time, The Wall Street Journal, A15
  5. Laney, 2001, 3D data management: Controlling data volume, velocity and variety, META Group Research Note
  6. Shmoys, 1985, Vol. 3, 1
  7. Strub, 1994, A synergistic approach to enhancing your process, The Journal for Quality and Participation, 17, 60

Cited by

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Authors
Cheng, M. M., & Hackett, R. D.
Affiliations
McMaster University (CA)
Corresponding author
Cheng, Maggie M.
Venue
Human Resource Management Review
Publisher
Elsevier BV
Published
2021-03
Volume
31
Issue
1
Pages
100698
ISSN
1053-4822 (ISSN-L)
OpenAlex
W2951731558
Cited by
283
References
110
Citations by year
2026: 61 · 2025: 71 · 2024: 55 · 2023: 36 · 2022: 33 · 2021: 18 · 2020: 8 · 2019: 1
FWCI
21.04
Type
journal article
Language
en
Open access
closed
Locations
Human Resource Management Review (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Employer Branding and e-HRM
Keywords
human resource management, data analytics, heuristics, black box, algorithmic transparency, descriptive analytics, predictive analytics, causality, algorithmic decision-making

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