Date of Award

2026

Degree Name

Business Administration

College

College of Business

Type of Degree

D.B.A.

Document Type

Dissertation

First Advisor

Dr. Kevin Knotts

Second Advisor

Dr. Marc Sollosy

Third Advisor

Dr. Karen Nicholas

Abstract

The rapid integration of artificial intelligence (AI) into organizational processes has altered how work is performed and experienced by employees, yet empirical research examining the human implications of AI-driven change remains limited. This study examined the perceived impact of AI implementation on role ambiguity, employee motivation, and training engagement, and investigated the moderating role of perceived organizational support (POS). Grounded in Job Demands–Resources (JD-R) Theory and Organizational Support Theory (OST), the research examined how employees interpreted and responded to AI-related changes in their work environment.

The results offer valuable insights into a shifting perception of how employees experience technology in the workplace. The findings suggest that employees are not experiencing role ambiguity and confusion but rather enhanced role clarity and motivation. This represents a positive shift in how employees perceive technological AI-driven change. This research makes an important contribution by expanding JD-R theory and OST within the context of AI-driven change. The results provide evidence that employees are shifting their perception of AI from a job demand to a job resource. These findings also support reevaluating what OST means in a modern, technologically advanced workplace.

Subject(s)

Industrial management.

Organizational behavior.

Artificial intelligence.

Employees.

Employees -- Training.

Employees -- Training -- Technology.

Artificial intelligence -- Industrial applications.

Human-computer interaction.

Additional Files
Amendment Letter.pdf (104 kB)
Signature Page for Sheena Metzger.pdf (197 kB)
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