The role of big data in ensuring transparency and accountability of public authorities
DOI:
https://doi.org/10.56294/hl2024.421Keywords:
artificial intelligence, blockchain technologies, digital processes, open data, public administrationAbstract
The study is aimed at highlighting the theoretical and practical aspects of the use of big data in the public administration system on the example of Ukraine. The study used various works of scientists dedicated to the study of the peculiarities of using big data in the public administration system. The results of global rankings (Open Data Barometer; Global Government Forum) and data from the information and analytical agency Statista were also used. Economic and statistical analysis methods were used to achieve the research objective. These methods helped to determine the volume of global big data market revenue since 2011 with a forecast for 2025-2027, the share of global big data market revenue since 2013 with a forecast for 2025-2027 by major segments, and Ukraine’s rating of open data development in 2015-2017. The methods of schematic and graphical display of data were also used to visualize the theoretical and practical foundations of the study. The method of logical generalization of the results was used to formulate conclusions. Moreover, the methods of systematization and comparison, induction and deduction were used. The study outlined the main opportunities for using big data in public administration. This includes accelerating and improving management processes, increasing transparency, reducing costs, and promoting the development of platforms for analyzing public finances, public procurement, and other important areas.
References
Abuljadail, M., Khalil, A., Talwar, S., & Kaur, P. (2023). Big data analytics and e-governance: Actors, opportunities, tensions, and applications. Technological Forecasting and Social Change, 193, 122612. https://doi.org/10.1016/j.techfore.2023.122612
Andrews, L. (2018). Public administration, public leadership and the construction of public value in the age of the algorithm and ‘big data’. Public Administration, 97(2), 296-310. https://doi.org/10.1111/padm.12534
Dziundziuk, B. (2023). Features of using Big Data, artificial intelligence and blockchain technology in public administration. Public Administration: Improvement And Development, 5. https://doi.org/10.32702/2307-2156.2023.5.11
Fredriksson, C., Mubarak, F., Tuohimaa, M., & Zhan, M. (2017). Big Data in the Public Sector: A Systematic Literature Review. Scandinavian Journal of Public Administration, 21(3), 39-61. https://doi.org/10.58235/sjpa.v21i3.11563
Global Government Forum. (2024). Big but not scary: how to use big data to shape government policy and delivery. Retrieved from https://www.globalgovernmentforum.com/big-but-not-scary-how-to-use-big-data-to-shape-government-policy-and-delivery/
Open Data Barometer. (2017). The Open Data Barometer. Retrieved from https://opendatabarometer.org/?_year=2017&indicator=ODB
Oxford Learner's Dictionaries. (2024). Big data noun - Definition, pictures, pronunciation. Retrieved from https://www.oxfordlearnersdictionaries.com/definition/english/big-data
Pencheva, I., Esteve, M., & Mikhaylov, S. J. (2018). Big Data and AI - A transformational shift for government: So, what next for research? Public Policy and Administration, 35(1), 24-45. https://doi.org/10.1177/0952076718780537
Rakšnys, A. V., Gudelis, D., & Guogis, A. (2021). The analysis of opportunities of the application of big data and artificial intelligence technologies in public governance and social policy. Socialinė Teorija Empirija Politika ir Praktika, 22(6), 88-100. https://doi.org/10.15388/STEPP.2021.31
RISE Ukraine. (2023). Open statement of the RISE Ukraine Coalition on ensuring access to open data. Retrieved from https://www.rise.org.ua/statements-and-appeals-uas/vidkrita-zayava-koaliciyi-rise-ukraine-shchodo-zabezpechennya-dostupnosti-vidkritih-danih
Samokhodskyi I. (2023). Can Open Data Form the Basis for a Transparent Recovery Process in Ukraine? Retrieved from https://brdo.com.ua/analytics/can-open-data-form-the-basis-for-a-transparent-recovery-process-in-ukraine/
Sazu, M., & Jahan, A. S. (Mai 2022). Impact of big data analytics on government organizations. Management et Datascience, 6(2). https://doi.org/10.36863/mds.a.20157
Schwab, K. (2017) The Fourth Industrial Revolution. New York, NY: Crown Publishing Group.
Statista (2024). Big data market size revenue forecast worldwide from 2011 to 2027. Retrieved from https://www.statista.com/statistics/254266/global-big-data-market-forecast/
Statista (2024). Share of big data market revenue worldwide from 2013 to 2027, by major segment. Retrieved from https://www.statista.com/statistics/255959/share-of-big-data-factory-revenue-by-type/
Tverdokhlib O. S., & Grytsiak, N. V. (2020). Practical aspects of applying big data analysis technologies in public administration. Efficiency of public administration, 3(64), 121-235. https://doi.org/10.33990/2070-4011.64.2020.217610
Uzun, M. M., Yildiz, M., & Önder, M. (2022). Big questions of artificial intelligence (AI) in public administration and policy. Siyasal: Journal of Political Sciences, 31(2), 423-442. http://doi.org/10.26650/siyasal.2022.31.1121900
Van der Voort, H. G., Klievink, A. J., Arnaboldi, M., & Meijer, A. J. (2019). Rationality and politics of algorithms: Will the promise of big data survive the dynamics of public decision making? Government Information Quarterly, 36(1), 27-38. https://doi.org/10.1016/j.giq.2018.10.011
Yakovlev, R. V., & Ishchenko, Y. V. (2020). Potential of big data usage in public administration. Expert: Paradigm of Legal Sciences and Public Administration, 5(11), 195-213. https://doi.org/10.32689/2617-9660-2020-5(11)-195-213
Yukhno, A. (2024). Digital transformation: Exploring big data governance in public administration. Public Organization Review, 24, 335-349. https://doi.org/10.1007/s11115-022-00608-4.
Published
Issue
Section
License
Copyright (c) 2024 Herasym Dei (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.
