Cited by 618Employer Branding and e-HRMAI and HR TechnologiesHuman Resource and Talent Management

The influence of technology on the future of human resource management

Stone, Dianna L., Deadrick, Diana L., Lukaszewski, Kimberly M., Johnson, Richard·2015·Human Resource Management Review

Integrity signals

Registry

Crossref · 10.1016/j.hrmr.2015.01.002

Cites

143 of 143 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • Research has not shown whether the new Web-based systems enable HRM to achieve its primary goals of attracting, motivating, and retaining employees.

    “However, research has not shown if these new systems enable HRM to achieve its primary goals of attracting, motivating, and retaining employees (see Stone et al., 2015, for a review of this literature).”
  • Technologies have changed HRM practices by introducing e-recruitment, e-training, or e-competence management.

    “technologies have changed (through enabling and/or constraining) HRM practices by introducing for example, e-recruitment, e-training, or e-competence management (Stone, Deadrick, Lukaszewski, & Johnson, 2015).”

    From Conceptualising the future of HRM and technology research (2016) · cites this paper as Stone, Deadrick, Lukaszewski, & Johnson, 2015

  • The amount of knowledge in the HR department affects the adoption of new technologies.

    “Few studies on human resource systems suggest that the amount of knowledge in the HR department effects the adoption of new technologies (Stone et al., 2015).”

Cites

Flagged first, then by citations

2 of the 145 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Stone, D. L., Deadrick, D. L., Lukaszewski, K. M., & Johnson, R.
Affiliations
  • University at Albany, State University of New York (US)
  • Old Dominion University (US)
  • Wright State University (US)
Corresponding author
Stone, Dianna L.
Venue
Human Resource Management Review
Publisher
Elsevier BV
Published
2015-06
Volume
25
Issue
2
Pages
216-231
ISSN
1053-4822 (ISSN-L)
OpenAlex
W2075214837
Cited by
618
References
145
Citations by year
2026: 63 · 2025: 103 · 2024: 76 · 2023: 65 · 2022: 45 · 2021: 72 · 2020: 59 · 2019: 50 · 2018: 34 · 2017: 32 · 2016: 13 · 2015: 5 · 2014: 1
FWCI
61.74
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 › Employer Branding and e-HRM
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Human Resource and Talent Management
Keywords
information technology, human resource management, HR processes, talent attraction, employee motivation, employee retention, one-way communication, interpersonal interaction, technology limitations

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review