An analysis on the unified theory of acceptance and use of technology theory (UTAUT): Acceptance of electronic document management system (EDMS)
Open accessAbstract
Public Institutions need information systems that facilitate management of generated documents during business processes on a digital platform. Development of information and communication technologies facilitated the transfer of documents to digital platforms which caused the emergence of Electronic Document Management System (EDMS). Institutions are utilizing EDMS in order to keep records securely and improve business processes. EDMS have many benefits such as improvement of efficiency and productivity, reduction of errors, increase in quality of service and reduction of costs. On the other hand, while EDMS offers many benefits to its users, it also has made it imperative to adopt the new technological system. For this reason, it becomes essential to understand the factors that affect the intention of use of EDMS. This study researches the factors that affect the adoption and use of EDMS in Bartın University by using the unified theory of acceptance and use of technology (UTAUT). In this research, data was analyzed by using R software program and Structural Equation Modelling (SEM). Based on the findings, 61% of the intention of use of EDMS has been explained by performance expectancy and social influence factors with in the proposed model. Empirical findings suggest that the factors of performance expectancy and social influence has a positive effect on the intention of use but of effort expectancy factor does not have a positive effect.
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Previous literature suggested significant evidence of improving an employee's job performance via the ERP integrated system.
“From the ERP context, the previous literature suggested significant evidence of improving an employee's job performance via this integrated system (Alisoun et al., 2018; Ayaz & Yanartaş, 2020; Mahzan & Lymer, 2014).”
From ERP Post-Implementation Phase: Deployment of the Unified Theory of Acceptance and Use of Technology (UTAUT) Model on User Acceptance (2023) · cites this paper as Ayaz & Yanartaş, 2020
The Discussion says users believed EDMS would help them work more efficiently, and the Conclusions say EDMS users performed well. But the paper studies an electronic document management system, not ERP, and its Limitations state that it examined intentions rather than actual system use. It therefore does not establish improved employee job performance from an ERP-integrated system. (LLM, conf=0.86)
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- Authors
- Ayaz, A., & Yanartaş, M.
- Affiliations
- Bartin University (TR)
- Düzce Üniversitesi (TR)
- Corresponding author
- Ayaz, Ahmet
- Venue
- Computers in Human Behavior Reports
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 2
- Pages
- 100032
- ISSN
- 2451-9588 (ISSN-L)
- OpenAlex
- W3091899714
- Semantic Scholar
- 5667f46f6eb4354f8ce95ecbebad2358da91c251
- Cited by
- 246
- References
- 61
- Citations by year
- 2026: 32 · 2025: 63 · 2024: 46 · 2023: 51 · 2022: 31 · 2021: 23
- FWCI
- 26.05
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Computers in Human Behavior Reports (publishedVersion, cc-by-nc-nd)
- DSpace - Düzce (Duzce University) (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems and Technology Applications
- Social Sciences › Political Science and International Relations › E-Government and Public Services
- Keywords
- Unified Theory of Acceptance and Use of Technology, electronic document management systems, technology acceptance, intention to use, performance expectancy, social influence, effort expectancy, public institutions, university information systems, digital records management
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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