Date Approved
2025
Degree Type
Open Access Senior Honors Thesis
Department or School
Management
First Advisor
James Krolik, Ph.D.
Second Advisor
Anushri Rawat, Ph.D.
Third Advisor
Joy Beatty, Ph.D.
Abstract
Artificial intelligence (AI) is increasingly being integrated into staffing and recruitment processes across industries. Organizations are using AI-powered tools to support tasks such as résumé screening, interview scheduling, candidate assessments, and data organization. While these technologies offer efficiency and consistency, they also raise important questions related to bias, fairness, privacy, and the continued role of human judgment in hiring decisions. The purpose of this study is to examine how AI is currently used in staffing practices and how organizational leaders perceive its benefits and limitations. This study employed a qualitative research design using semi-structured interviews with three business owners and organizational leaders from different industries, including coffee retail, healthcare, and financial services. Participants were selected based on their direct experience using AI-supported tools in staffing or operational decision-making. Interview responses were analyzed to identify common themes related to efficiency, human oversight, ethical concerns, and the balance between automation and personal judgment. The findings indicate that participants view AI as a valuable support tool that improves efficiency and organization but should not replace human involvement in hiring decisions. All participants emphasized the importance of maintaining human judgment to evaluate context, communication, and organizational fit. Concerns related to bias, transparency, and data privacy were also consistently discussed. Overall, the study highlights the need for organizations to adopt AI thoughtfully, ensuring that technological efficiency is balanced with ethical considerations and human-centered decision-making in staffing processes.
Recommended Citation
Bazzi, Batoul, "The impact of artificial intelligence on staffing: A qualitative study of HR professionals across industries" (2025). Senior Honors Theses and Projects. 883.
https://commons.emich.edu/honors/883