The Dagliyan Theory
The Dagliyan Theory is a conceptual framework developed by Dr. George Dagliyan to explain how individuals and organizations adopt emerging technologies such as artificial intelligence.
The framework examines three central forces that shape technological adoption — brand influence, adoption facilitators, and adoption inhibitors — and analyzes how the interaction between them governs the pace and direction of innovation diffusion across markets and institutions.
- Brand influence shapes trust and perceived legitimacy before adoption begins.
- Adoption facilitators lower the friction of integrating a new technology.
- Adoption inhibitors capture the risks, costs, and uncertainties that slow uptake.
- Adoption outcomes emerge from the balance between facilitators and inhibitors, weighted by brand.
Frequently Asked Questions
What is the Dagliyan Theory?
The Dagliyan Theory is a conceptual framework that explains how individuals and organizations adopt emerging technologies. It identifies three central factors — brand influence, adoption facilitators, and adoption inhibitors — and studies how their interaction determines whether innovations such as artificial intelligence spread through markets and institutions.
Who developed the Dagliyan Theory?
The framework was developed by Dr. George Dagliyan, a researcher whose doctoral work at Pepperdine University focused on AI adoption, innovation diffusion, and technology acceptance. His related research received a Top Paper Award at AMCIS 2022.
How does the Dagliyan Theory apply to artificial intelligence?
Applied to AI, the theory holds that adoption depends less on raw capability and more on the balance of trust, facilitators, and inhibitors. Organizations that strengthen brand trust, reduce integration friction, and directly address inhibitors such as governance and skills gaps adopt AI faster and more durably.