Issue |
E3S Web Conf.
Volume 448, 2023
The 8th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2023)
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Article Number | 02039 | |
Number of page(s) | 10 | |
Section | Information System | |
DOI | https://doi.org/10.1051/e3sconf/202344802039 | |
Published online | 17 November 2023 |
Evaluating the Influence of EA Capabilities on Digital Transformation in the Ministry of Finance of Indonesia
1 Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, D.I. Yogyakarta, Indonesia
2 Accounting Study Program, Sekolah Tinggi Ilmu Ekonomi Pahlawan Negara, D.I. Yogyakarta, Indonesia
* Corresponding author: faqihzulfikar@mail.ugm.ac.id
Enterprise Architecture (EA) has been adopted by the Ministry of Finance (MoF) of Indonesia since 2018 as a strategic methodology to achieve the MoF's organizational goals more effectively and efficiently by defining, mapping, aligning and integrating business domains, data, applications and technology. EA's role in digital transformation is listed in the MoF's EA Vision, namely as an orchestrator who accelerates and harmonizes digital transformation in the MoF and focuses on outcomes. However, a number of stakeholders considered that the value provided by EA to support the MoF's digital transformation was considered not optimal. This is allegedly caused by the insufficient maturity level of the MoF's EA capability. The purpose of this paper is to analyze the perceptions of the MoF's EA Team on the maturity of EA capabilities and their influence on the MoF's digital transformation. The methodology used in analyzing this effect is the Partial Least Square Structural Equation Model (PLS-SEM). The research findings demonstrate that the MoF's EA capabilities, categorized into enabler capability and utilization capability, have a significant positive influence on the digital transformation within the MoF.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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