Date of Conferral
11-18-2025
Date of Award
November 2025
Degree
Doctor of Information Technology (D.I.T.)
School
Information Systems and Technology
Advisor
Gary Griffith
Abstract
Information technology (IT) leaders in regulated banking face significant risks related to system complexity and cybersecurity when implementing large-scale systems. Although microservice architecture (MSA) offers enhanced scalability and agility, IT leaders lack specific strategic guidance for its effective adoption within highly regulated banking environments. Grounded in the Technology Acceptance Model, the purpose of this qualitative, pragmatic study was to explore effective MSA adoption strategies for IT architects and managers transitioning legacy systems to support risk and compliance management. Data were collected through semistructured interviews with seven banking IT leaders and were analysed using thematic analysis. Three themes emerged: adoption drivers (PU), barriers and risks, and organizational readiness. Agility and scalability were the primary adoption drivers (PU). Success is contingent upon organizational readiness, dominated by the necessary cultural shift—moving to complete end-to-end service ownership. This shift enhances perceived ease of use and prevents the formation of a "distributed monolith." Findings indicate that successful MSA adoption in banking requires a holistic, culture-first strategy, where organizational alignment and regulatory risk mitigation must precede technical implementation. Implications for positive social change include the potential for healthcare leaders to foster more effective and empathetic leadership, thereby improving both the work environment for healthcare professionals and the quality of care provided to patients.
Recommended Citation
Achar, Gururaj, "Development of an Evidence-Based Guideline for Nurse-Led Interventions to Improve Medication Adherence in Patients With Severe Mental Illness" (2025). Walden Dissertations and Doctoral Studies. 19177.
https://scholarworks.waldenu.edu/dissertations/19177
