Developing human resource data risk management in the age of big data
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The agenda in PA projects is often left to technologists, computer scientists or PA vendors, when what is really needed are experts in human behavior and ethics.
“One observation was that the agenda in PA projects is often left to technologists, computer scientists or PA vendors, when what is really needed are experts in human behavior and ethics (Calvard and Jeske, 2018*).”
From The ethics of people analytics: risks, opportunities and recommendations (2022) · cites this paper as Calvard and Jeske, 2018*
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DIGITAL TENDENCY OF HUMAN RESOURCES MANAGEMENT
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- Authors
- Calvard, T. S., & Jeske, D.
- Affiliations
- University of Edinburgh (GB)
- University College Cork (IE)
- Corresponding author
- Jeske, Debora
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2018-12
- Volume
- 43
- Pages
- 159-164
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2886184010
- Cited by
- 79
- References
- 56
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 12 · 2023: 13 · 2022: 13 · 2021: 13 · 2020: 4 · 2019: 7
- FWCI
- 9.92
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- International Journal of Information Management (publishedVersion)
- Arrow@dit (Dublin Institute of Technology) (submittedVersion, cc-by-nc-nd)
- RePEc: Research Papers in Economics (submittedVersion)
- Cork Open Research Archive (University College Cork, Ireland) (submittedVersion, cc-by-nc-nd)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- big data, human resource data, risk management, normal accident theory, information management, data collection design
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