The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Big data: lessons for employers and employees
Open accessAbstract
Purpose: The purpose of this paper is to critically reflect on the pros and cons of using employee information in big data projects. Design/methodology/approach: The authors reviewed papers in the area of big data that has immediate repercussions for the experiences of employees and employers. Findings: The review of papers to date suggests that big data lessons based on employee data are still a relatively unknown area of employment literature. Particular attention is paid to discussion of employee rights, ethics, expectations and the implications employer conduct has on employment relationships and prospective benefits of big data analytics at work for work. Originality/value: This viewpoint paper highlights the need for more discussion between employees and employers about the collection, use, storage and ownership of data in the workplace. A number of recommendations are put forward to support future data collection efforts in organisations.
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“They have also been shown to affect employees' inclusion in and access to future training and development opportunities (Jeske and Calvard, 2020).”
From The ethics of people analytics: risks, opportunities and recommendations (2022) · cites this paper as Jeske and Calvard, 2020
Citations
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Cited by
Sorted by citations
The ethics of people analytics: risks, opportunities and recommendations
Tursunbayeva, A., Pagliari, C., Di Lauro, S., & Antonelli, G. (2022) · Personnel Review · doi:10.1108/pr-12-2019-0680 · Cited by 193
Bridging the gap: why, how and when HR analytics can impact organizational performance
McCartney, S., & Fu, N. (2022) · Management Decision · doi:10.1108/md-12-2020-1581 · Cited by 173
Metadata
- Authors
- Jeske, D., & Calvard, T.
- Affiliations
- University College Cork (IE)
- University of Edinburgh (GB)
- Venue
- Employee Relations: The International Journal
- Publisher
- Emerald
- Published
- 2020-01-06
- Volume
- 42
- Issue
- 1
- Pages
- 248-261
- ISSN
- 0142-5455 (ISSN-L)
- OpenAlex
- W2980250686
- Cited by
- 34
- References
- 3
- Citations by year
- 2025: 13 · 2024: 5 · 2023: 4 · 2022: 8 · 2021: 2 · 2020: 2
- FWCI
- 4.32
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Employee Relations (publishedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (publishedVersion, other-oa)
- Arrow@dit (Dublin Institute of Technology) (acceptedVersion)
- Cork Open Research Archive (University College Cork, Ireland) (submittedVersion, cc-by-nc)
- 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
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Keywords
- big data, employee data, workers' rights, data ethics, employer conduct, employment relationship, data ownership, data storage, employee expectations
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