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Cited by 135AI and HR TechnologiesLegal and Labor StudiesEmployer Branding and e-HRM

The DOI matches its Crossref record.

New Technology, Work and Employment

Bechter, Barbara, Bernd Brandl, Lehr, Alex·2010·New Technology Work and Employment
DOI 10.1111/(issn)1468-005x
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Abstract

The digitalization of business processes has led to the availability of (big) data which increasingly allows firms to analyse their workforce using HR analytics. On the basis of a cross-national multi-level analysis and a dataset that covers more than 20,000 firms in all member states of the European Union we investigate the reasons why some firms make use of HR analytics to monitor employee performance while others refrain from doing so. We show that the use of HR analytics depends upon firm characteristics as well as contextual factors. In terms of firm characteristics, we find that firms require the structural and managerial capability to make use of HR analytics. For contextual factors, our findings show that some market factors motivate firms to make use of HR analytics while the institutional, i.e. juridico-political, and cultural environment in which firms are embedded influences firms’ opportunities to use HR analytics.

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Crossref · 10.1111/(issn)1468-005x

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Metadata

Authors
Bechter, B., Brandl, B., & Lehr, A.
Venue
New Technology Work and Employment
Publisher
Wiley
Published
2010-08-04
ISSN
0268-1072 (ISSN-L)
DOI
10.1111/(issn)1468-005x
OpenAlex
W4254323599
Cited by
135
References
0
Citations by year
2025: 13 · 2024: 17 · 2023: 11 · 2022: 15 · 2021: 6 · 2020: 2 · 2019: 1 · 2018: 14 · 2016: 1 · 2015: 2 · 2014: 1 · 2013: 2
Type
paratext
Language
en
Open access
closed
Locations
  • New Technology Work and Employment (publishedVersion)
  • Durham Research Online (Durham University) (acceptedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
  • Social Sciences › Business, Management and Accounting › Industrial relations › Legal and Labor Studies
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Employer Branding and e-HRM
Keywords
HR analytics, employee performance monitoring, big data, digitalization of business processes, organizational capabilities, management skills, market factors, institutional environment, cultural context, technology adoption, European firms

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.