Algorithmic human resource management: A brief introduction and managerial toolkit

As algorithmic systems increasingly shape workplace dynamics, human resource management (HRM) is undergoing a profound transformation. Algorithmic HRM – defined as the use of software algorithms to automate or augment HR-related decisions – offers potential gains in efficiency and objectivity across the different HRM processes. However, its implementation also raises critical concerns about fairness, transparency, worker autonomy and trust. This paper explores the defining features of algorithmic HRM, examines its implications for employee experiences, and analyses emerging risks. It concludes with a managerial toolkit for responsible algorithmic HRM, outlining reflective questions and strategies that HR professionals can use to align algorithmic practices with ethical standards, employee well-being, and organizational integrity.

Institutions

Publication Details

Journal
EWOP in Practice
Published
2025-05-18
DOI
https://doi.org/10.21825/ewopinpractice.94698
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Algorithmic human resource management: A brief introduction and managerial toolkit

1 citations
EWOP in Practice
Ethics and Social Impacts of AI
2.37
article

Algorithmic human resource management: A brief introduction and managerial toolkit

article en
1 citations

Abstract

As algorithmic systems increasingly shape workplace dynamics, human resource management (HRM) is undergoing a profound transformation. Algorithmic HRM – defined as the use of software algorithms to automate or augment HR-related decisions – offers potential gains in efficiency and objectivity across the different HRM processes. However, its implementation also raises critical concerns about fairness, transparency, worker autonomy and trust. This paper explores the defining features of algorithmic HRM, examines its implications for employee experiences, and analyses emerging risks. It concludes with a managerial toolkit for responsible algorithmic HRM, outlining reflective questions and strategies that HR professionals can use to align algorithmic practices with ethical standards, employee well-being, and organizational integrity.

EWOP in PracticeVol. 19(1)
Adam Smith Institute (GB), University of Glasgow (GB)
Lembaga Pengelola Dana Pendidikan
Openalex Percentile: Top 12%
Ethics and Social Impacts of AI
2.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.