Algorithmic Decision Making in HRM
Integrity signals
Registry
Cites
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Claims the paper makes
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?
Algorithmic HRM is a specific subset/type of digital HRM.
“Using this definition, we regard algorithmic HRM as a specific subset/type of digital, or electronic, HRM (Bondarouk et al., 2017;Strohmeier, 2020b).”
From Algorithmic human resource management: Synthesizing developments and cross-disciplinary insights on digital HRM (2021) · cites this paper as Strohmeier, 2020b
Algorithmic HRM requires digitization-a process by which information is turned into digital data.
“As such, algorithmic HRM requires what (Strohmeier, 2020b) refers to as digitization -a process by which information is turned into digital data.”
From Algorithmic human resource management: Synthesizing developments and cross-disciplinary insights on digital HRM (2021) · cites this paper as Strohmeier, 2020b
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.”
From Algorithmic human resource management: Synthesizing developments and cross-disciplinary insights on digital HRM (2021) · cites this paper as Strohmeier, 2020a
By relying on algorithmic HRM to implement a digital business strategy from their inception, OLPs seem to skip several steps (or move through them quickly) in the digitalization processes that most organizations go through.
“By relying on algorithmic HRM to implement a digital business strategy from their inception, OLPs seem to skip several steps (or move through them quickly) in the digitalization processes that most organizations go through, such as digitizing manual processes in HRIS (Strohmeier, 2020b) or HR analytics for improving HR-related decision making (Marler & Boudreau, 2017).”
From Algorithmic human resource management: Synthesizing developments and cross-disciplinary insights on digital HRM (2021) · cites this paper as Strohmeier, 2020b
While almost all organizations today are part of the information technology revolution, most organizations are still in a digitalization process, albeit some at a more advanced stage than others.
“While almost all organizations today are part of the information technology revolution, most organizations are still in a digitalization process, albeit some at a more advanced stage than others (Strohmeier, 2020b).”
From Algorithmic human resource management: Synthesizing developments and cross-disciplinary insights on digital HRM (2021) · cites this paper as Strohmeier, 2020b
Cited by
Sorted by citations
Meijerink, J., Boons, M., Keegan, A., & Marler, J. (2021) · The International Journal of Human Resource Management · doi:10.1080/09585192.2021.1925326 · Cited by 267 · see citing works
- Authors
- Strohmeier, S.
- Corresponding author
- Strohmeier, Stefan
- ORCID
- Strohmeier, Stefan
- Venue
- Encyclopedia of Electronic HRM
- Publisher
- De Gruyter
- Published
- 2020-08-24
- Pages
- 54-60
- OpenAlex
- W3196338260
- Cited by
- 11
- References
- 0
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 3 · 2023: 1 · 2021: 1
- Type
- reference entry
- Language
- en
- Open access
- closed
- Locations
- De Gruyter eBooks (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
- algorithmic decision-making, human resource management, automated decision systems, algorithmic fairness
About these checks
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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