Cited by 119Employer Branding and e-HRMAI and HR TechnologiesMedical Education and Admissions

Information as a double-edged sword: The role of computer experience and information on applicant reactions towards novel technologies for personnel selection

Open access
Langer, Markus, König, Cornelius J., Fitili, Andromachi·2018·Computers in Human Behavior

Integrity signals

Registry

Crossref · 10.1016/j.chb.2017.11.036

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Claims other papers make about this one

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Cites

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Cited by

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Authors
Langer, M., König, C. J., & Fitili, A.
Affiliations
Saarland University (DE)
Corresponding author
Langer, Markus
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2018-04
Volume
81
Pages
19-30
ISSN
0747-5632 (ISSN-L)
OpenAlex
W2770434700
Cited by
119
References
4
Citations by year
2026: 15 · 2025: 15 · 2024: 15 · 2023: 20 · 2022: 14 · 2021: 14 · 2020: 14 · 2019: 10 · 2018: 2
FWCI
12.83
Type
journal article
Language
en
Locations
  • Computers in Human Behavior (publishedVersion)
  • FreiDok plus (Universitätsbibliothek Freiburg) (submittedVersion)
  • GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen) (submittedVersion, cc-by)
Funders
German Federal Ministry for Education and Research (16SV7229K)
Topics
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Employer Branding and e-HRM
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Medical Education and Admissions
Keywords
personnel selection, applicant reactions, computer experience, procedural information, transparency, employer attractiveness

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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