First Advisor

Tugrul Daim

Term of Graduation

Spring 2026

Date of Publication

5-20-2026

Document Type

Dissertation

Degree Name

Doctor of Philosophy (Ph.D.) in Technology Management

Department

Engineering and Technology Management

Language

English

Subjects

Adoption, readiness, Telemedicine

Physical Description

1 online resource (xiv, 229 pages)

Abstract

Telemedicine has become a strategically significant healthcare technology, particularly following the accelerated adoption of virtual care during the COVID-19 pandemic. While telemedicine offers substantial potential to improve access, efficiency, and system resilience, healthcare organizations continue to face challenges in determining their readiness to adopt and sustain telemedicine solutions. These challenges stem from complex interactions among technological capabilities, organizational structures, social factors, and policy environments. From a technology management perspective, a systematic and evidence-based approach is needed to support managerial decision-making related to telemedicine adoption.

This dissertation develops a comprehensive Hierarchical Decision Model (HDM) to evaluate healthcare organizations' readiness for telemedicine adoption, with a focus on virtual care delivery. Drawing on an extensive review of the literature, the study identifies critical adoption factors and organizes them into four interrelated perspectives: social, technological, organizational, and policy. The proposed model is validated and quantified using expert judgment through multi-criteria decision analysis techniques, ensuring both methodological rigor and practical relevance. Desirability curves are incorporated to convert qualitative assessments into measurable readiness scores that support comparative evaluation and strategic planning.

The validated HDM is applied through multiple case studies to assess organizational readiness, identify key strengths and weaknesses, and prioritize improvement initiatives. Sensitivity and scenario analyses are conducted to examine the robustness of the model under varying strategic conditions. The results demonstrate how the model can be used as a managerial decision-support tool to guide technological investment, organizational change, and policy alignment.

This research contributes to the technology management literature by providing a structured framework for assessing readiness for complex healthcare technologies. Practically, it offers healthcare executives, policymakers, and technology managers a systematic approach to evaluate telemedicine adoption readiness and to support informed, strategic, and sustainable technology management decisions.

Rights

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Persistent Identifier

https://archives.pdx.edu/ds/psu/44827

Available for download on Thursday, May 20, 2027

Included in

Engineering Commons

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