Cited by 13AI and HR TechnologiesEthics and Social Impacts of AIImpact of AI and Big Data on Business and Society

Like a Cog in a Machine: The Effectiveness of AI-Powered Human Resourcing

Mahmoud, Ali B.·2021·Advances in Logistics, Operations, and Management Science

Abstract

Similar to its sisters, the Fourth Industrial Revolution (Industry 4.0) has sparked varying sentiments and views regarding the ethicality and effectiveness of employing artificial intelligence (AI) tools in human resource management (HRM) in a way that triggers the need for a synthesis of current published work on the different views in that respect. This chapter presents an attempt to engage the different cogs with each other so the millstone will go around, and an updated understanding of AI-powered HRM from different angles is provided. This work reviews the main concepts revolving around AI and Industry 4.0. Also, it offers an up-to-date investigation of AI uses in HRM (e.g., People Analytics) and what risks or ethical concerns are being argued in contemporary discourse.

Integrity signals

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Crossref · 10.4018/978-1-7998-5768-6.ch001

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46 of 46 references verified0 citation errors · 0 not checkable

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  • In the context of AI-powered HRM practices, the technology should be aligned with the HR tasks and functions required in the Indian pharmaceutical sector.

    “Furthermore, in the context of AI-powered HRM practices, the technology should be aligned with the HR tasks and functions required in the Indian pharmaceutical sector (Pandey, 2020; Mahmoud, 2021; Prikshat et al., 2023).”

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Authors
Mahmoud, A. B.
Affiliations
St. John's University (US)
Corresponding author
Mahmoud, Ali B.
Venue
Advances in Logistics, Operations, and Management Science
Publisher
IGI Global
Published
2021
Pages
1-20
ISSN
  • 2327-350X (ISSN-L)
  • 2327-3518
OpenAlex
W3165515852
Cited by
13
References
46
Citations by year
2025: 3 · 2024: 2 · 2023: 4 · 2022: 2 · 2021: 2
FWCI
11.71
Type
book chapter
Language
en
Open access
closed
Locations
Advances in logistics, operations, and management science book series (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 › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
Keywords
artificial intelligence in human resource management, Industry 4.0, HR analytics, AI ethics, risks of AI adoption

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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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