Abstract
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 language | English |
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Pages (from-to) | 159-164 |
Journal | International Journal of Information Management |
Volume | 43 |
Early online date | 8 Aug 2018 |
DOIs | |
Publication status | Published - Dec 2018 |
Keywords / Materials (for Non-textual outputs)
- big data
- consent
- data analytics
- employment
- ethics
- risk management