Big Data
Show Less

Big Data

Promise, Application and Pitfalls

Edited by John Storm Pedersen and Adrian Wilkinson

Big data and 'the package' of the digital society is de-mystified in this important book. A group of international experts frame the debates around big data and analyse its impact in different sectors in practice. They also examine whether big data and the digital society can deliver on its promises.
Show Summary Details
You do not have access to this content

Chapter 4: Big data and human resource management

Tobias M. Scholz


Big data is becoming ubiquitous and pervasive. Its development is the same in human resource management. Everything in HRM can be digitized and will be usable for big data analyses. Therefore, automation of HRM is possible. In areas like recruitment and selection, this automation is already observable, with consequences like algorithmic discrimination. Consequently, it is essential to open the black box of automated HRM and be able to monitor the automated process loop and steer it strategically. However, this presupposes a unique set of skills. People require training in computational, statistical, and, most importantly, skeptical thinking. These skills are necessary at first in the HR department and later for the entire organization in order to escape the vicious cycle. This chapter shows the need for HRM in the digitized society to get the fullest potential out of big data and not become dependent on the reality that data will shape without human supervision.

You are not authenticated to view the full text of this chapter or article.

Elgaronline requires a subscription or purchase to access the full text of books or journals. Please login through your library system or with your personal username and password on the homepage.

Non-subscribers can freely search the site, view abstracts/ extracts and download selected front matter and introductory chapters for personal use.

Your library may not have purchased all subject areas. If you are authenticated and think you should have access to this title, please contact your librarian.

Further information

or login to access all content.