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How are Pre-Hire Assessments Contributing to Unbiased and More Targeted, Successful Hires?
| Content Provider | Semantic Scholar |
|---|---|
| Author | Chiang, Joey Berkoff, Rachael |
| Copyright Year | 2017 |
| 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://digitalcommons.ilr.cornell.edu/cgi/viewcontent.cgi?article=1151&context=student |
| Alternate Webpage(s) | https://digitalcommons.ilr.cornell.edu/cgi/viewcontent.cgi?article=1151&context=student&httpsredir=1&referer= |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
