Modeling technology adoption in shared-use facility management: a multidimensional framework for digital transformation in public universities
Vu-Dam Vu, Minh-Anh Nguyen Thi, Van-Quynh HaPurpose
This study aims to examine technology adoption in shared-use facility management (FM) systems within mega-institutional contexts undergoing digital transformation.
Design/methodology/approach
An integrated framework combining the Technology Acceptance Model (TAM), Technology Readiness Index (TRI) and the DeLone & McLean Information System Success Model (ISQ) was developed. Data were collected from 246 administrators and staff members at public universities in Vietnam and analyzed using partial least squares structural equation modeling.
Findings
Results indicate that technology readiness exerts an indirect influence on perceived usefulness through ease of use, underscoring the sequential role of user preparedness. In addition, indirect effect analysis further reveals that emotional barriers and system reliability play stronger roles than previously assumed in shaping user engagement.
Research limitations/implications
The empirical scope is limited to a single multi-campus university context in Vietnam. Theoretically, this study advances technology adoption literature by positioning technology readiness as an upstream psychological enabler that influences behavioral outcomes through usability perceptions.
Practical implications
Practically, the findings suggest that policymakers and FM practitioners should move beyond technical provision by strengthening user readiness, reducing technology-related discomfort and improving system usability to support effective digital FM implementation.
Originality/value
This study is among the first to address digital transformation in shared-use FM within higher education mega-facilities in Vietnam. By integrating TAM, TRI and ISQ into a multidimensional framework, the study contributes to FM literature by explaining how psychological readiness, system quality and cognitive perceptions jointly shape digital transformation outcomes in public sector mega-facility contexts.