Developing human resource data risk management in the age of big data

Thomas Calvard, Deborah Jeske

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

In recent years, a great deal of attention has been devoted to trying to understand the risk challenges that arise in information management, and most recently, challenges that arise due to big data. In this article, the complexities of big data for employers are explored, drawing on a risk management on Human Resources (HR) perspective and normal accident theory (NAT) to illustrate the evolving characteristics of these complexities. The paper concludes with a series of recommendations that focus on education, design in data collection, and risk management, in the hope that these recommendations enable employers to better anticipate and address emerging big data challenges.
Original languageEnglish
Pages (from-to)159-164
JournalInternational Journal of Information Management
Early online date8 Aug 2018
Publication statusPublished - Dec 2018

Keywords / Materials (for Non-textual outputs)

  • big data
  • consent
  • data analytics
  • employment
  • ethics
  • risk management


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