Cornell University
Library
Cornell UniversityLibrary

eCommons

Help
Log In(current)
DigitalCollections@ILR
ILR School
  1. Home
  2. ILR School
  3. ILR Collection
  4. ILR Student Works
  5. How are Pre-Hire Assessments Contributing to Unbiased and More Targeted, Successful Hires?

How are Pre-Hire Assessments Contributing to Unbiased and More Targeted, Successful Hires?

File(s)
How_are_pre_hire_assessments_contributing_to_unbiased_and_more_targeted__successful_hires.pdf (536.32 KB)
Permanent Link(s)
https://hdl.handle.net/1813/74399
Collections
ILR Student Works
Executive Summaries on Current HR Topics (ILRHR 6640)
Author
Chiang, Joey
Berkoff, Rachael
Abstract

[Excerpt] New efforts to control unconscious biases are on the rise in business—some companies have already begun to transition towards removing the human element of recruiting by relying heavily on new tech platforms to help identify the right job candidates. These tools have evolved beyond the standard pen-and-paper assessment (see Appendix A) and come in new forms—gamification (e.g. Pymetrics) and AI-driven video interviewing (e.g. HireVue) just to name a few, which can provide an entirely digital recruiting experience for the candidate as well as the employer. However, this new “technology and talent” age does not come without its potential downfalls. This research will identify how companies are utilizing pre-hire assessments today while also explaining how these assessments are evolving.

Date Issued
2017-10-01
Keywords
HR
•
performance management
•
pre-assessments
•
assessments
•
candidates
•
job candidates
•
talent pool
•
talent
•
talent management
•
analytics
•
human screening
•
personality test
•
demographics
•
candidate diversity
•
adaptive reasoning tests
•
recruitment
Rights
Required Publisher Statement: Copyright held by the authors.
Type
article

Site Statistics | Help

About eCommons | Policies | Terms of use | Contact Us

copyright © 2002-2026 Cornell University Library | Privacy | Web Accessibility Assistance