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Research Framework

The Dagliyan Theory

A conceptual framework for understanding technology adoption in organizational and consumer environments.

Bridging Theory and Practice

The Dagliyan Theory is a conceptual framework developed through doctoral research at Pepperdine University to explain how individuals and organizations adopt emerging technologies. The theory bridges classical diffusion of innovations theory with contemporary factors specific to AI-enabled technologies.

While classical adoption theories focus on relative advantage, compatibility, and complexity, the Dagliyan Theory introduces additional dimensions critical to modern technology adoption: brand influence, institutional facilitators, and adoption inhibitors.

This framework has been validated through academic research and presented at the Americas Conference on Information Systems (AMCIS), where it received recognition for its contribution to understanding AI adoption dynamics.

Top Paper Award

AMCIS 2024 | Recognized for contribution to AI adoption research

Framework Overview

1

Brand Influence

Trust and credibility from established technology providers

2

Institutional Facilitators

Organizational support, training, and governance structures

3

Adoption Inhibitors

Barriers including risk, complexity, and lack of trust

The Three Pillars

Core Components

Brand Influence

The perceived credibility and trustworthiness of technology vendors and solutions significantly impact adoption decisions.

  • Vendor reputation and market position
  • Industry recognition and certifications
  • Customer success stories and case studies
  • Brand trust in data handling

Institutional Facilitators

Organizational structures and support systems that enable or accelerate technology adoption.

  • Leadership commitment and sponsorship
  • Training and change management programs
  • Governance frameworks and policies
  • Resource allocation and budget

Adoption Inhibitors

Barriers and challenges that slow or prevent successful technology implementation.

  • Perceived risk and uncertainty
  • Technical complexity and integration
  • Lack of trust in AI decisions
  • Organizational resistance to change
Practical Applications

Implementing the Framework

The Dagliyan Theory provides actionable insights for organizations seeking to improve their technology adoption outcomes. By systematically analyzing each component, leaders can develop targeted strategies.

Assessment Phase

Evaluate current position on each pillar through stakeholder surveys and organizational assessments.

Strategy Development

Develop targeted interventions addressing identified gaps in brand trust, institutional support, or inhibitor mitigation.

Implementation

Execute adoption programs with continuous monitoring and adjustment based on framework indicators.

Framework in Action

AI Technology Vendors

Use framework to position solutions and address customer concerns

Enterprise Leaders

Apply framework to assess readiness and plan adoption programs

Consultants

Utilize framework to diagnose adoption challenges

Academics

Extend theory through further research and validation

Research Background

Academic Foundation

Research Context

The Dagliyan Theory emerged from doctoral research examining how trust, brand influence, and institutional factors impact the adoption of AI-enabled technologies in organizational and consumer environments.

The research analyzed adoption patterns across various AI applications including autonomous systems, smart assistants, and telemedicine platforms.

Publications

  • Doctoral Dissertation

    Pepperdine University

  • AMCIS 2024 Paper

    Top Paper Award recipient

  • Theory Development

    Peer-reviewed framework

Explore Further

Discover how the Dagliyan Theory can inform your organization's technology adoption strategy.