Research & Academic Contributions
Advancing the understanding of AI adoption, innovation diffusion, and technology acceptance in organizational and consumer environments.
Advancing the understanding of AI adoption, innovation diffusion, and technology acceptance in organizational and consumer environments.
Dr. George Dagliyan's research focuses on the adoption and diffusion of artificial intelligence technologies within organizational and consumer environments. His work combines theories from information systems, innovation diffusion, and organizational behavior to analyze how individuals and institutions evaluate emerging technologies.
George's doctoral research examined how trust, brand influence, and institutional facilitators impact the adoption of AI-enabled technologies such as autonomous systems, smart assistants, and telemedicine platforms.
His academic work has been presented at the Americas Conference on Information Systems (AMCIS), one of the most respected global conferences in the field of information systems research.
Recognized for contribution and impact on understanding AI adoption dynamics at AMCIS 2024.
Understanding how organizations and consumers embrace AI-enabled systems
How emerging technologies spread through markets and institutions
The role of institutions in facilitating or inhibiting technology adoption
How trust and brand perception shape technology acceptance
AI technologies offer enhanced convenience through automation, personalization, and 24/7 accessibility, making them attractive to both organizations and consumers.
AI systems can be tailored to specific organizational needs and individual preferences, enabling personalized experiences and targeted solutions.
AI technologies significantly improve operational efficiency through automated processes, predictive analytics, and streamlined decision-making.
Uncertainty regarding AI performance, reliability, and long-term outcomes creates hesitation among potential adopters.
Concerns about data privacy and the collection of personal information by AI systems present significant adoption barriers.
Fear of losing human oversight and control over critical decisions to automated systems inhibits adoption in sensitive contexts.
Dr. Dagliyan's research examines how trust and institutional governance frameworks influence artificial intelligence adoption. His work demonstrates that institutional trust—confidence in the organizations, regulations, and oversight mechanisms governing AI technologies—plays a critical role in determining whether individuals and organizations embrace or resist AI-enabled systems. This research contributes to understanding how governance structures can be designed to foster responsible AI adoption.
Peer-reviewed research presented at leading academic conferences.
Doctoral research examining the factors influencing AI technology adoption in organizational and consumer contexts.
View Dissertation"Understanding AI Adoption: The Role of Trust, Brand Influence, and Institutional Facilitators" — Top Paper Award recipient.
View Conference PaperA conceptual framework developed to explain how individuals and organizations adopt emerging technologies, bridging academic research with practical enterprise implementation.
Brand
Influence
Institutional
Facilitators
Adoption
Inhibitors
Connect to explore research partnerships, academic collaborations, or discussions on AI adoption and technology innovation.