Department of Management, Technology, and Economics

Search

en

D-MTEC Media Update – Biased job recruitment

The D-MTEC experts engage with issues that affect society, the economy and business. The D-MTEC Media Update provides links to recent articles, interviews and commentaries. Researchers at the KOF Swiss Economic Institute have leveraged big data from recruitment platforms and machine learning to study hiring discrimination. They show that a foreign origin negatively impacts the chance of jobseekers to be contacted on job platforms.

by Dario Spilimbergo
discriminativeselection
Jobseekers with a foreign background are 6.5 percent less likely to be contacted on job platforms. Stutterstock / Aleutie

Click-rates on a job platform reveal bias

Michael Siegenthaler | KOF Swiss Economic Institute
Daniel Kopp | KOF Swiss Economic Institute

external page Original article published in Nature

The federal government should maintain the debt level after the pandemic

Michael Graff | KOF Swiss Economic Institute

Mobility declines, but not as much as in March 2020

Stefan Feuerriegel | Chair of Management Information Systems

external page Original Working Paper by Persson, Parie and Feuerriegel

Innovation needs a suitable framework

Stefano Brusoni | Chair of Technology and Innovation Management

The D-MTEC Media Update provides links to reports, interviews, and commentaries featuring department members and departmental affiliates. Access to some of the articles may be restricted to paying customers of the media company through which they appear. Some links may have expired.

If you are missing a feature or if you spot an error please

JavaScript has been disabled in your browser