Published June 2023 | Version v1
Thesis Open

Adapting to a New Normal: The Impact of COVID-19 on Hiring Patterns and the Development of Predictive Models for Talent Acquisition

Creators

  • 1. University of Chicago

Contributors

Advisor:

Committee member:

Description

I collected all interview questions from glassdoor for 26 industry-representative companies in the S&P 500 and collected data on the difficulty of all interview questions, interview outcomes, and interviewer perceptions that had been flagged. By combining the flagged data with the interview text, a unified NLP analysis was performed. I try to obtain a predictor that can predict the interview pass rate of interviewees by inputting information such as the interview questions and the difficulty of the physical interview.

Files

The Impact of COVID-19 on Hiring Patterns and the Development of Predictive Models for Talent Acquisition.pdf

Additional details

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oai:uchicago.tind.io:6183

UChicago Information

Division(s)
Social Sciences Division
Department(s)
Computational Social Sciences (MACSS)