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The publication can be exported in the following formats: APA (American Psychological Association) reference format, IEEE (Institute of Electrical and Electronics Engineers) reference format, BibTeX and RIS.

Export Reference (APA) 
Antunes, A. L., Barateiro, J. & Cardoso, E. (2024). Strategic analysis in the public sector using semantic web technologies. Digital Government: Research and Practice. N/A
Export Reference (IEEE) 
A. L. Antunes et al.,  "Strategic analysis in the public sector using semantic web technologies", in Digital Government: Research and Practice, vol. N/A, 2024
Export BibTeX 
@null{antunes2024_1715917030971,
	year = "2024",
	url = "https://dl.acm.org/journal/dgov"
}
Export RIS 
TY  - GEN
TI  - Strategic analysis in the public sector using semantic web technologies
T2  - Digital Government: Research and Practice
VL  - N/A
AU  - Antunes, A. L.
AU  - Barateiro, J.
AU  - Cardoso, E.
PY  - 2024
SN  - 2691-199X
DO  - 10.1145/3656587
UR  - https://dl.acm.org/journal/dgov
AB  - This article addresses the complex challenges that public organizations face in designing, implementing, and evaluating their strategies, where public interest and regulatory compliance often intertwine with strategic objectives. This research investigates the application of ontologies in the field of public sector strategy management to enhance the capacity of organizations to make informed data-driven decisions, efficiently allocate resources, and effectively navigate the intricate landscape of the public sector. The LNEC - National Laboratory for Civil Engineering’s strategy is used as an exploratory case study. Semantic web technologies are used to perform strategy analysis, including validating the strategy formulation, and supporting the strategy execution by assessing performance indicators, verifying the design of cause-and-effect relationships between strategic objectives, and monitoring and empirically validating these relationships. The increased interoperability of these technologies enables information sharing across systems and organizations. Following the strategy analysis, recommendations are provided, leading to a more robust and data-driven strategic management approach, enabling accurate, traceable, and continuous monitoring of an organization’s strategy. Theoretical and practical implications are discussed, along with limitations and future work. This research offers a blueprint for public sector organizations seeking to optimize their strategies, foster transparency, and deliver more effective services to the public they serve.
ER  -