Edinburgh Research Explorer

Big data: Lessons for employers and employees

Research output: Contribution to journalArticlepeer-review

Related Edinburgh Organisations

Open Access permissions



  • Download as Adobe PDF

    Rights statement: This is the accepted version of the following article: Jeske, D. and Calvard, T. (2020), "Big data: lessons for employers and employees", Employee Relations, Vol. 42 No. 1, pp. 248-261. https://doi.org/10.1108/ER-06-2018-0159, which has been published in final form at: https://www.emerald.com/insight/content/doi/10.1108/ER-06-2018-0159/full/html

    Accepted author manuscript, 274 KB, PDF document

Original languageEnglish
Pages (from-to)248-261
JournalEmployee Relations
Issue number1
Publication statusPublished - 6 Jan 2020


Purpose: The focus of the current article is to critically reflect on the pros and cons of using employee information in big data projects.
Approach: The authors reviewed papers in the area of big data that have 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 article 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.

    Research areas

  • big data, consent, data analytics, employment, ethics

Download statistics

No data available

ID: 104689947