IDEAS home Printed from https://ideas.repec.org/a/kap/porgrv/v24y2024i1d10.1007_s11115-022-00694-x.html
   My bibliography  Save this article

Digital Transformation: Exploring big data Governance in Public Administration

Author

Listed:
  • Alexander Yukhno

    (Institute of Public Administration and Civil Service of the Russian Presidential Academy of National Economy and Public Administration)

Abstract

As economies become increasingly data-driven, big data technologies and software products are turning into key tools for managing technological processes in real time for more efficient delivery of public services to citizens. The change in the interaction between the state and society implies the creation of a unified state digital ecosystem, centered around big data. Such paradigm calls for rethinking of public administration principles ensuring the transition from an electronic state to a digital one. As a result, the likelihood of creating values ​​that meet the shifting expectations of citizens in relation to public services increases.

Suggested Citation

  • Alexander Yukhno, 2024. "Digital Transformation: Exploring big data Governance in Public Administration," Public Organization Review, Springer, vol. 24(1), pages 335-349, March.
    • Handle: RePEc:kap:porgrv:v:24:y:2024:i:1:d:10.1007_s11115-022-00694-x
    DOI: 10.1007/s11115-022-00694-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11115-022-00694-x
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11115-022-00694-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Clifford Lynch, 2008. "How do your data grow?," Nature, Nature, vol. 455(7209), pages 28-29, September.
    2. Constantiou, Ioanna D & Kallinikos, Jannis, 2015. "New games, new rules: big data and the changing context of strategy," LSE Research Online Documents on Economics 63017, London School of Economics and Political Science, LSE Library.
    3. World Bank, 2021. "World Development Report 2021 [Informe sobre el desarrollo mundial 2021]," World Bank Publications - Books, The World Bank Group, number 35218.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gangopadhyay, Partha & Jain, Siddharth & Bakry, Walid, 2022. "In search of a rational foundation for the massive IT boom in the Australian banking industry: Can the IT boom really drive relationship banking?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    2. Claudio Vitari & Elisabetta Raguseo, 2016. "Big data value and financial performance: an empirical investigation [Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data]," Post-Print halshs-01923271, HAL.
    3. Erdsiek, Daniel & Rost, Vincent, 2022. "Datenbewirtschaftung in deutschen Unternehmen: Umfrageergebnisse zu Status-quo und mittelfristigem Ausblick," ZEW Expert Briefs 22-09, ZEW - Leibniz Centre for European Economic Research.
    4. Seddon, Jonathan J.J.M. & Currie, Wendy L., 2017. "A model for unpacking big data analytics in high-frequency trading," Journal of Business Research, Elsevier, vol. 70(C), pages 300-307.
    5. Mohd Syaiful Rizal Abd Hamid & Nor Ratna Masrom & Nur Athirah Binti Mazlan, 2022. "The Key Factors of the Industrial Revolution 4.0 in the Malaysian Smart Manufacturing Context," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 13(2), pages 1-19, August.
    6. Hannes Rothe & Katharina Barbara Lauer & Callum Talbot-Cooper & Daniel Juan Sivizaca Conde, 2023. "Digital entrepreneurship from cellular data: How omics afford the emergence of a new wave of digital ventures in health," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.
    7. Rita Yi Man Li & Herru Ching Yu Li, 2018. "Have Housing Prices Gone with the Smelly Wind? Big Data Analysis on Landfill in Hong Kong," Sustainability, MDPI, vol. 10(2), pages 1-19, January.
    8. Chen,Rong - DECIG, 2021. "Mapping Data Governance Legal Frameworks Around the World : Findings from the Global Data Regulation Diagnostic," Policy Research Working Paper Series 9615, The World Bank.
    9. Udemba, Edmund Ntom & Tosun, Merve, 2022. "Moderating effect of institutional policies on energy and technology towards a better environment quality: A two dimensional approach to China's sustainable development," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    10. Marcel Rolf Pfeifer, 2021. "Human Resources during COVID-19: A Monthly Survey on Mental Health and Working Attitudes of Czech Employees and Managers during the Year 2020," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    11. Christoph Keding, 2021. "Understanding the interplay of artificial intelligence and strategic management: four decades of research in review," Management Review Quarterly, Springer, vol. 71(1), pages 91-134, February.
    12. Jean-Luc Pradel Mathurin Augustin & Shu-Yi Liaw, 2020. "Exploring the Relationship between Perceived Big Data Advantages and Online Consumers’ Behavior: An Extended Hierarchy of Effects Model," International Business Research, Canadian Center of Science and Education, vol. 13(6), pages 1-73, June.
    13. Blazquez, Desamparados & Domenech, Josep, 2018. "Big Data sources and methods for social and economic analyses," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 99-113.
    14. Claudio Vitari & Elisabetta Raguseo, 2019. "Big data analytics business value and firm performance: Linking with environmental context," Post-Print hal-02293765, HAL.
    15. Pablo Matías Herrera & Ana Inés Heras, 2023. "Epistemic Opacity And Epistemic Transparency. Organizations That Produce, Support And Recreate Them In Platform Economies," Revista Ciencias Administrativas (CADM), IIA, Universidad Nacional de La Plata, Instituto de Investigaciones Administrativas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, issue 22, pages 1-10, July-Dece.
    16. Muhammad Haseeb & Hafezali Iqbal Hussain & Beata Ślusarczyk & Kittisak Jermsittiparsert, 2019. "Industry 4.0: A Solution towards Technology Challenges of Sustainable Business Performance," Social Sciences, MDPI, vol. 8(5), pages 1-24, May.
    17. Giorgi Shuradze & Yevgen Bogodistov & Heinz-Theo Wagner, 2018. "The Role Of Marketing-Enabled Data Analytics Capability And Organisational Agility For Innovation: Empirical Evidence From German Firms," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 22(04), pages 1-32, May.
    18. Power, Michael, 2022. "Theorizing the economy of traces: from audit society to surveillance capitalism," LSE Research Online Documents on Economics 112167, London School of Economics and Political Science, LSE Library.
    19. Zhang, Jie & Chen, Zhiguo & Altuntaş, Mehmet, 2022. "Tracing volatility in natural resources, green finance and investment in energy resources: Fresh evidence from China," Resources Policy, Elsevier, vol. 79(C).
    20. Keding, Christoph & Meissner, Philip, 2021. "Managerial overreliance on AI-augmented decision-making processes: How the use of AI-based advisory systems shapes choice behavior in R&D investment decisions," Technological Forecasting and Social Change, Elsevier, vol. 171(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:porgrv:v:24:y:2024:i:1:d:10.1007_s11115-022-00694-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.