LOS ANGELES, CA
Dr. George Dagliyan, a researcher focused on artificial intelligence adoption and enterprise systems innovation, is examining how organizations and consumers evaluate emerging technologies and integrate them into everyday decision-making.
Artificial intelligence continues to reshape industries across the global economy. Businesses increasingly rely on AI-enabled systems to analyze data, automate processes, and improve operational efficiency. However, the success of these technologies depends not only on technical performance but also on how institutions and individuals perceive and trust them.
Dr. Dagliyan’s research explores the factors that influence adoption of AI-enabled technologies across organizational and consumer environments. His work focuses on the intersection of artificial intelligence adoption, enterprise systems, and institutional strategy.
“Artificial intelligence adoption is not simply a technological decision,” Dr. Dagliyan said. “It is shaped by trust, institutional readiness, governance, and the ability of organizations to integrate innovation responsibly.”
One key focus of Dr. Dagliyan’s research is understanding why some technologies are embraced while others face resistance. Artificial intelligence systems can provide significant advantages, including improved efficiency, advanced data analysis, and personalized user experiences. At the same time, organizations and consumers may hesitate to adopt AI technologies due to concerns about uncertainty, privacy risks, and loss of control.
Dr. Dagliyan’s work highlights several drivers that encourage adoption of artificial intelligence technologies. Convenience can reduce the time and effort required to complete complex tasks. Customization allows AI systems to tailor services and experiences to individual users. Efficiency enables organizations to process large volumes of data and identify patterns more quickly than traditional systems.
However, adoption barriers can influence how users interpret these benefits. Uncertainty surrounding how AI systems operate can reduce confidence in their outputs. Privacy concerns may arise when AI-enabled technologies rely on personal data to deliver value. In addition, users may feel uncomfortable when decisions shift from human control to automated systems.
Dr. Dagliyan’s research also emphasizes the importance of trust in determining adoption outcomes. Brand trust, reliability, and perceived goodwill can influence how individuals and organizations evaluate emerging technologies. In many cases, trust in a technology provider can shape adoption decisions even before users interact directly with a new AI-enabled system.
Beyond artificial intelligence adoption, Dr. Dagliyan studies enterprise systems and organizational strategy. Enterprise systems provide critical infrastructure for managing data, coordinating operations, and monitoring institutional performance. As digital technologies evolve, these systems increasingly incorporate advanced analytics and machine learning capabilities that support strategic planning and operational visibility.
Dr. Dagliyan’s work also reflects an interest in interdisciplinary innovation that connects technology, organizational development, and cultural engagement. He has supported artistic collaborations and cultural initiatives that encourage dialogue between creative communities and emerging technological fields.
As artificial intelligence continues to evolve, organizations face new opportunities and challenges related to governance, transparency, and responsible innovation. Dr. Dagliyan’s research contributes to ongoing discussions about how institutions can successfully integrate emerging technologies while maintaining trust and accountability.
About Dr. George Dagliyan
Dr. George Dagliyan is a researcher whose work focuses on artificial intelligence adoption, enterprise systems innovation, and organizational strategy. His research examines how emerging technologies are evaluated and integrated across institutional and consumer environments.
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Office of Dr. George Dagliyan
Los Angeles, California
Last modified: March 9, 2026
