Studies in computational intelligence, Journal Year: 2023, Volume and Issue: unknown, P. 2013 - 2036
Published: Jan. 1, 2023
Language: Английский
Studies in computational intelligence, Journal Year: 2023, Volume and Issue: unknown, P. 2013 - 2036
Published: Jan. 1, 2023
Language: Английский
Studies in computational intelligence, Journal Year: 2023, Volume and Issue: unknown, P. 1295 - 1313
Published: Jan. 1, 2023
Language: Английский
Citations
14Studies in computational intelligence, Journal Year: 2023, Volume and Issue: unknown, P. 1385 - 1401
Published: Jan. 1, 2023
Language: Английский
Citations
14Studies in computational intelligence, Journal Year: 2023, Volume and Issue: unknown, P. 1657 - 1672
Published: Jan. 1, 2023
Language: Английский
Citations
14Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 137 - 166
Published: Feb. 28, 2025
This chapter explores AI's transformative potential in public governance Oman, focusing on enhancing efficiency, transparency, and citizen participation as part of Vision 2040. It examines grassroots AI initiatives within government departments, their impact service delivery, challenges such ethical issues data privacy. Key objectives include assessing current applications, effects decision-making, barriers to adoption, identifying best practices for sustained integration. The central research question addresses how can improve Omani its unique socio-political context. Utilizing a descriptive design secondary data, the aims provide insights policymakers effectively tailoring applications Oman's needs, ultimately services engagement.
Language: Английский
Citations
0Vinculatégica EFAN, Journal Year: 2025, Volume and Issue: 11(2), P. 30 - 43
Published: March 31, 2025
Construir una ciudadanía digital en el siglo XXI, integrando la inteligencia artificial (IA) es un reto significativo, que pone de relieve temas, desde modernización administración pública hasta adaptación a innovación tecnológica. El objetivo investigación fue analizar perspectiva los ciudadanos Nuevo León sobre adopción tecnologías basadas IA y influyen construcción digital. Se utilizó enfoque cuantitativo, con diseño transversal alcance descriptivo. La muestra 319 encuestados, seleccionados mediante Muestreo Aleatorio Simple (MAS), instrumento encuesta 12 ítems escala tipo Likert. Entre resultados más sobresalientes están 63.6% estuvo acuerdo o muy considerar colaboración entre sector público privado fundamental para implementación efectiva administración. En conclusión, requiere estrecha privado, visión estratégica aprovechar su potencial mejora eficiencia servicios, inversión continua infraestructuras tecnológicas modernas seguras.
Citations
0Data & Metadata, Journal Year: 2025, Volume and Issue: 4, P. 950 - 950
Published: April 13, 2025
The integration of information technology (IT) into urban processes can significantly enhance public management by providing objective and timely for decision-making at all levels governance. It facilitates the administration control city resources, strengthens processes, fosters greater citizen participation, efficiency, transparency in their execution. This article proposes an IT framework aligned with smart concept. was organized three management: strategic, tactical, operational, which corresponded to city's maturity, intelligence, technology, respectively. model based on best practices, international standards, recognized theories. developed from results instrument designed quantify indicators two research variables: city, applied governing bodies Santa Marta, Colombia. analysis responses allowed us quantitatively qualitatively describe variables interrelations. also enabled identify strengths weaknesses order make recommendations improve technological state development services that increase level intelligence Marta.
Language: Английский
Citations
02022 International Conference on Business Analytics for Technology and Security (ICBATS), Journal Year: 2023, Volume and Issue: unknown, P. 1 - 7
Published: March 7, 2023
The purpose of this study was to investigate the factors that influence adoption AI-based predictive analysis in professional audits and highlight role control risk decision-making process. research methodology used an online survey targeted accountants auditors working audit firms distributed using Facebook ads. findings indicated mediates relationship between technological variables analysis. also identified preparedness for IT challenges as primary driver adoption, but other played a significant well. originality lies its integration quality, challenges, into TOE model within context. Furthermore, proposes mediating variable context profession. limitations include non-random distribution data among respondents due targeting tools survey. implications limitation are study's may not be generalizable wider population auditors. Additionally, does consider impact cultural institutional affect audits. Future is recommended, considering these factors, provide more comprehensive understanding
Language: Английский
Citations
8Studies in big data, Journal Year: 2024, Volume and Issue: unknown, P. 25 - 37
Published: Jan. 1, 2024
Language: Английский
Citations
3Studies in big data, Journal Year: 2024, Volume and Issue: unknown, P. 89 - 108
Published: Jan. 1, 2024
Language: Английский
Citations
3Studies in computational intelligence, Journal Year: 2023, Volume and Issue: unknown, P. 2081 - 2094
Published: Jan. 1, 2023
Language: Английский
Citations
7