Semester
Spring
Date of Graduation
2026
Document Type
Dissertation
Degree Type
DBA
College
College of Business and Economics
Department
Management
Committee Chair
James Field
Committee Member
Olga Bruyaka Collignon
Committee Member
Xiaoxiao Hu
Committee Member
Mingang Geiger
Abstract
Artificial Intelligence (AI) is becoming more embedded in organizational workflows and is reshaping work environments, changing how we work, make decisions, stay engaged, perform, and learn. While AI adoption is associated with a wide range of benefits, it also presents negative aspects that may affect employee experiences and influence the future of work. Drawing on extant literature and on the Job Demands–Resources (JD-R) model, Conservation of Resources (COR) theory, and the Technology–Organization–Environment (TOE) framework, this research proposes a model in which psychological safety mediates the relationship between AI adoption intensity and job insecurity, while procedural justice and AI self-efficacy act as moderating variables.
Recommended Citation
Frieske, Joanna J., "AI in the Workplace: Understanding the Path Between AI Adoption Intensity and AI-induced Job Insecurity" (2026). Graduate Theses, Dissertations, and Problem Reports. 13255.
https://researchrepository.wvu.edu/etd/13255