Date of Award

12-2024

Degree Name

Doctor of Philosophy

Department

Education and Human Development

First Advisor

David Szabla, Ed.D.

Second Advisor

Beixi Li, Ph.D.

Third Advisor

Kuanchin Chen, D.B.A.

Keywords

Artificial intelligence, human attitudes, socio-technical system, workplace well-being

Abstract

In an era characterized by rapid technological advancement, organizations are grappling with the profound changes brought by the integration of artificial intelligence (AI). This study examines the impact of AI integration on workplace well-being, conceptualized as a key indicator of the health of an organization’s socio-technical system. Conducted over a four-month period, this research utilized an exploratory case study approach, collecting data from 35 participants across four distinct organizations. By employing a socio-technical systems perspective and the tripartite model of attitudes, the study investigates the intricate interactions between AI technologies and human factors within organizational contexts. The findings reveal that employee attitudes towards AI are influenced not only by concerns over job security, but also by broader systemic factors, such as the role of diverse thinkers in the integration process, organizational readiness, and the alignment between AI capabilities and specific organizational needs. Notably, the study uncovered paradoxical attitudes towards AI, where positive outlooks coexisted with underlying anxieties about job displacement. The research culminates in the development of a comprehensive framework designed to guide organizations in achieving balanced AI integration. This framework supports a holistic understanding of the socio-technical system, incorporating both individual and organizational AI adoption processes, and offers a nuanced perspective on how AI integration impacts workplace well-being across different organizational contexts.

Access Setting

Dissertation-Open Access

Download

Share

COinS