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Leadership and Transformation in the Public Sector: An Empirical Exploration of AI Adoption and Efficiency during the Fourth Industrial Revolution.

, , and . DG.O, page 794-806. ACM, (2024)

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E-gov 4.0: a literature review towards the new government., and . DG.O, page 333-334. ACM, (2014)How much do Twitter posts affect voters? Analysis of the multi-emotional charge with affective computing in political campaigns., , and . DG.O, page 1-14. ACM, (2021)Open Government and Open Data in Times of COVID-19., , , , , , , and . DG.O, page 598-600. ACM, (2021)Construction of Domain-Specific Lexicons Based on Term Statistics., , , , and . SSCI, page 1626-1631. IEEE, (2023)Justice of the Marquesa: A Twitter Trend Analysis Using Text Mining and Word Clouds., , and . DG.O, page 592-593. ACM, (2017)Revolutionizing the Public Works Value Chain through AI monitoring: Towards an understanding of Increased Productivity in Perú., , , , and . DG.O, page 663-665. ACM, (2023)Leadership and Transformation in the Public Sector: An Empirical Exploration of AI Adoption and Efficiency during the Fourth Industrial Revolution., , and . DG.O, page 794-806. ACM, (2024)Chief information officers' perceptions about artificial intelligence A comparative study of implications and challenges for the public sector., , , and . First Monday, (2021)Towards an understanding of Twitter networks: The case of the state of Mexico., and . First Monday, (2018)Facial expressions based in emotions for virtual agents., , , , and . CONIELECOMP, page 7-12. IEEE, (2013)