A Model for Adopting an Enterprise Content Management System for Anti-Corruption Efforts
Abstrak
One of the major challenges faced by today’s society and institutions is corruption and this brought the need and demand for Enterprise Content Management Systems (ECMS) as a tool for enhancing transparency and accountability, in the face of challenges relating to its implementation. In this study, a comprehensive ECMS adoption model is proposed and validated amid anti-corruption efforts, based the Unified Theory of Acceptance and Use of Technology (UTAUT). The development of the model involved an extensive systematic review of literature and the empirical testing of data culled from 395 Saudi employees working in the public financial sector of Saudi Arabia. Hypothesized relationships were tested using Structural Equation Modeling (SEM) with SmartPLS based on technological, organizational and environmental dimensions, under which system quality, information quality, service quality, AI tools integration and compatibility, top management support, training, change management and facilitating conditions, policy, security law and legislations and social influence were categorized respectively. Based on the obtained findings, the above factors had a significant influence over ECMS adoption intention, supporting their contribution to anti-corruption initiatives. The main contribution of this research is the validation of an ECMS adoption model, within which critical drivers throughout three dimensions are integrated in a strategic manner involving stakeholder collaboration, effective change management and ongoing evaluation. Moreover, the study contributes to both theory and practice, considering organizations attempting to adopt ECMS to support anti-corruption efforts, and by so doing, stressing user engagement, system integration, and institutional commitment for the system’s implementation success.
Topik & Kata Kunci
Penulis (3)
Bader Obaid Alshammari
Umi Asma' Mokhtar
Nazura Binti Abdul Manap
Akses Cepat
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- 2025
- Sumber Database
- DOAJ
- DOI
- 10.1109/ACCESS.2025.3633072
- Akses
- Open Access ✓