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Authors: Nuno Marques and André Vasconcelos

Affiliation: INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal

Keyword(s): Digital Transformation, Government, Processes, Low-Code, Reference Architecture.

Abstract: Today, companies cannot rely on outdated systems, governments being no exception. There are multiple benefits when performing the digital transformation (DT) of its processes, but also several downsides such as costs. This paper presents first the main use cases: resolve a procedure, send a notification by hand, reclassify a procedure, and create a request, and then the reference solution divided into 3 components. First, the Domain Model and Lifecycles related to the main entities. Second, the Reference Architecture adds the remaining projects’ modules (Roles,...), and also the dependencies between them. Third, the Implementation presents how to implement the information in a real-world case using “low-code” technology, especially useful to mitigate several issues. Lastly, an evaluation of the proposed solution is also presented.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Marques, N. and Vasconcelos, A. (2023). DTGov: Digital Transformation of Government Processes. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-648-4; ISSN 2184-4992, SciTePress, pages 101-108. DOI: 10.5220/0011715700003467

@conference{iceis23,
author={Nuno Marques. and André Vasconcelos.},
title={DTGov: Digital Transformation of Government Processes},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2023},
pages={101-108},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011715700003467},
isbn={978-989-758-648-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - DTGov: Digital Transformation of Government Processes
SN - 978-989-758-648-4
IS - 2184-4992
AU - Marques, N.
AU - Vasconcelos, A.
PY - 2023
SP - 101
EP - 108
DO - 10.5220/0011715700003467
PB - SciTePress