Artificial Intelligence Adoption in the Workplace. An Exploration of Augmentation

Author

• Oyinkansola O. Sodiya, University of Texas at ArlingtonFollow

Graduation Semester and Year

Spring 2026

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Management

Department

Management

First Advisor

George Benson

Second Advisor

David Arena

Third Advisor

William Beksi

Abstract

As collaborative work with artificial intelligence (AI augmentation) gains interest, it is crucial to investigate factors that affect how employees perceive and use AI tools at work. Drawing on task-technology fit and technology adoption theories, this dissertation examines the ways in which task dimensions, organizational contexts, and individual differences affect the perceived usefulness of working with AI tools. This dissertation demonstrates that task-technology fit is fundamental. Employees in jobs with high information processing demands are likely to positively perceive the usefulness of AI augmentation relative to employees in jobs with high interpersonal demands. Employees with more proactive personalities perceive greater usefulness in AI augmentation. Lastly, organizational mandates did not predict perceptions of the usefulness of AI augmentation. Collectively, this research emphasizes the need to adopt an employee-based approach to AI augmentation, prioritizing individual considerations and task-technology alignment.

Keywords

AI, Augmentation, Human computer interaction, Collaborative work, Job dimensions, Technology adoption

Disciplines

Artificial Intelligence and Robotics | Human Resources Management | Technology and Innovation

License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Recommended Citation

Sodiya, Oyinkansola O., "Artificial Intelligence Adoption in the Workplace. An Exploration of Augmentation" (2026). Management Dissertations. 2.
https://mavmatrix.uta.edu/management_dissertations2/2