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Factors Influencing Digital Adoption of Data and Information Management Methods in the Public Sector

Bridget Geoffrey Lojonon & Rayner Alfred

International Journal of Electronic Government Research2025https://doi.org/10.4018/ijegr.389245article
ABDC C
Weight
0.50

What the paper says

The current study critically examines the factors affecting government employees' acceptance of electronic document management systems (EDMS) in the public sector of the state of Sabah. The study seeks to identify current trends characterizing employees' attitudes toward EDMS usage, as well as the ability of government organizations for launching EDMS initiatives. Both quantitative and mixed methods were used to explore the objectives of this research. A survey was administered to 441 individuals who work at government organizations in the state of Sabah. The unified theory of acceptance and use of technology (UTAUT) model served as the study's theoretical framework. Results show that the state's public sector is ready for implementing EDMS initiatives. Further, all eight hypotheses related to the technology were confirmed by the research. In particular, it was found that performance expectancy, effort expectancy, facilitating conditions, social factors, and an attitude towards the technology could predict the variation in behavioral intentions related to technology use.

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https://doi.org/https://doi.org/10.4018/ijegr.389245

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@article{bridget2025,
  title        = {{Factors Influencing Digital Adoption of Data and Information Management Methods in the Public Sector}},
  author       = {Bridget Geoffrey Lojonon & Rayner Alfred},
  journal      = {International Journal of Electronic Government Research},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.4018/ijegr.389245},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.