HIREVUE: IMPLEMENTATION IN THE FINANCIAL SERVICES RECRUITING PROCESS IN THE MIDWEST USA
Category
Sciences and Technology
Department
Human Resources
Student Status
Graduate
Research Advisor
Dr. Derrel Fincher
Document Type
Event
Location
Student Center Ballroom
Start Date
10-4-2025 2:00 PM
End Date
10-4-2025 4:00 PM
Description
The implementation of artificial intelligence (Al) tools in recruitment processes has become increasingly prevalent, offering both opportunities and challenges for organizations. This study investigates the biases and ethical concerns associated with the implementation of HireVue in the recruitment processes of financial services companies in the Midwest USA, specifically in Kansas, Missouri, and lowa. The purpose of this study is to explore the impact of HireVue on recruitment processes, focusing on the accuracy and effectiveness of candidate selection, potential ethical considerations, and the ease of use of HireVue in the financial services sector. This research employs a qualitative case study methodology to gather insights from seven experienced recruiters with over ten years of experience. Data is collected through one-hour interviews consisting of ten questions that delve into the recruiters' opinions on HireVue's implementation. The study reveals various biases and ethical concerns associated with HireVue, including issues related to the accuracy of candidate selection and the potential for biased decision-making. Additionally, the ease of use and effectiveness of HireVue in enhancing recruitment processes are evaluated. The findings of this research provide valuable recommendations for the effective implementation of Al tools in recruitment processes, ensuring accurate and unbiased decision-making. Financial services organizations can utilize these insights to optimize their recruitment strategies and address ethical challenges associated with Al-driven hiring practices. Ultimately, this study aims to assist financial services companies in adopting and optimizing Al tools like HireVue to foster a more efficient and ethical recruitment process.
HIREVUE: IMPLEMENTATION IN THE FINANCIAL SERVICES RECRUITING PROCESS IN THE MIDWEST USA
Student Center Ballroom
The implementation of artificial intelligence (Al) tools in recruitment processes has become increasingly prevalent, offering both opportunities and challenges for organizations. This study investigates the biases and ethical concerns associated with the implementation of HireVue in the recruitment processes of financial services companies in the Midwest USA, specifically in Kansas, Missouri, and lowa. The purpose of this study is to explore the impact of HireVue on recruitment processes, focusing on the accuracy and effectiveness of candidate selection, potential ethical considerations, and the ease of use of HireVue in the financial services sector. This research employs a qualitative case study methodology to gather insights from seven experienced recruiters with over ten years of experience. Data is collected through one-hour interviews consisting of ten questions that delve into the recruiters' opinions on HireVue's implementation. The study reveals various biases and ethical concerns associated with HireVue, including issues related to the accuracy of candidate selection and the potential for biased decision-making. Additionally, the ease of use and effectiveness of HireVue in enhancing recruitment processes are evaluated. The findings of this research provide valuable recommendations for the effective implementation of Al tools in recruitment processes, ensuring accurate and unbiased decision-making. Financial services organizations can utilize these insights to optimize their recruitment strategies and address ethical challenges associated with Al-driven hiring practices. Ultimately, this study aims to assist financial services companies in adopting and optimizing Al tools like HireVue to foster a more efficient and ethical recruitment process.
