IDEAS home Printed from https://ideas.repec.org/p/ipt/iptwpa/jrc118857.html
   My bibliography  Save this paper

Exploring Digital Government transformation in the EU

Author

Listed:
  • BARCEVICIUS Egidijus
  • CIBAITE Guonda
  • CODAGNONE Cristiano
  • GINEIKYTE Vaida
  • KLIMAVICIUTE Luka
  • LIVA Giovanni
  • MATULEVIC Loreta
  • MISURACA Gianluca

    (European Commission - JRC)

  • VANINI Irene

Abstract

This report presents the findings of the analysis of the state of the art conducted as part of the JRC research on "Exploring Digital Government Transformation in the EU: understanding public sector innovation in a data-driven society" (DIGIGOV), within the framework of the "European Location Interoperability Solutions for eGovernment (ELISE)" Action of the ISA2 Programme on Interoperability solutions for public administrations, businesses and citizens, coordinated by DIGIT. The results of the review of literature, based on almost 500 academic and grey literature sources, as well as the analysis of digital government policies in the EU Member States provide a synthetic overview of the main themes and topics of the digital government discourse. The report depicts the variety of existing conceptualisations and definitions of the digital government phenomenon, measured and expected effects of the application of more disruptive innovations and emerging technologies in government, as well as key drivers and barriers for transforming the public sector. Overall, the literature review shows that many sources appear overly optimistic with regard to the impact of digital government transformation, although the majority of them are based on normative views or expectations, rather than empirically tested insights. The authors therefore caution that digital government transformation should be researched empirically and with a due differentiation between evidence and hope. In this respect, the report paves the way to in-depth analysis of the effects that can be generated by digital innovation in public sector organisations. A digital transformation that implies the redesign of the tools and methods used in the machinery of government will require in fact a significant change in the institutional frameworks that regulate and help coordinate the governance systems in which such changing processes are implemented.

Suggested Citation

  • BARCEVICIUS Egidijus & CIBAITE Guonda & CODAGNONE Cristiano & GINEIKYTE Vaida & KLIMAVICIUTE Luka & LIVA Giovanni & MATULEVIC Loreta & MISURACA Gianluca & VANINI Irene, 2019. "Exploring Digital Government transformation in the EU," JRC Research Reports JRC118857, Joint Research Centre.
    • Handle: RePEc:ipt:iptwpa:jrc118857
    as

    Download full text from publisher

    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC118857
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alzahrani, Latifa & Al-Karaghouli, Wafi & Weerakkody, Vishanth, 2017. "Analysing the critical factors influencing trust in e-government adoption from citizens’ perspective: A systematic review and a conceptual framework," International Business Review, Elsevier, vol. 26(1), pages 164-175.
    2. Autor, David H., 2013. "The "task approach" to labor markets : an overview," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 46(3), pages 185-199.
    3. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    4. Shirley Gregor & Brian Lee‐Archer, 2016. "The digital nudge in social security administration," International Social Security Review, John Wiley & Sons, vol. 69(3-4), pages 63-83, July.
    5. Vincenzo Morabito, 2015. "Big Data and Analytics Innovation Practices," Springer Books, in: Big Data and Analytics, edition 127, chapter 0, pages 157-176, Springer.
    6. Südekum, Jens & Dauth, Wolfgang & Findeisen, Sebastian & Woessner, Nicole, 2017. "German Robots – The Impact of Industrial Robots on Workers," CEPR Discussion Papers 12306, C.E.P.R. Discussion Papers.
    7. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    8. G. M.P. Swann, 2009. "The Economics of Innovation," Books, Edward Elgar Publishing, number 13211.
    9. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2006. "The Polarization of the U.S. Labor Market," American Economic Review, American Economic Association, vol. 96(2), pages 189-194, May.
    10. Autor, David, 2008. "The Economics of Labor Market Intermediation: An Analytic Framework," IZA Discussion Papers 3705, Institute of Labor Economics (IZA).
    11. Unknown, 2016. "Department Publications 2014," Publications Lists 239845, University of Minnesota, Department of Applied Economics.
    12. Stephen P Osborne & Zoe Radnor & Kirsty Strokosch, 2016. "Co-Production and the Co-Creation of Value in Public Services: A suitable case for treatment?," Public Management Review, Taylor & Francis Journals, vol. 18(5), pages 639-653, May.
    13. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    14. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    15. Philippe Aghion & Benjamin F. Jones & Charles I. Jones, 2018. "Artificial Intelligence and Economic Growth," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 237-282, National Bureau of Economic Research, Inc.
    16. Helen Margetts & Cosmina Dorobantu, 2019. "Rethink government with AI," Nature, Nature, vol. 568(7751), pages 163-165, April.
    17. Giest, Sarah & Mukherjee, Ishani, 2018. "Behavioral instruments in renewable energy and the role of big data: A policy perspective," Energy Policy, Elsevier, vol. 123(C), pages 360-366.
    18. Gianluca Misuraca & Francesco Mureddu & David Osimo, 2014. "Policy-Making 2.0: Unleashing the Power of Big Data for Public Governance," Public Administration and Information Technology, in: Mila Gascó-Hernández (ed.), Open Government, edition 127, pages 171-188, Springer.
    19. Vincenzo Morabito, 2015. "Big Data and Analytics for Government Innovation," Springer Books, in: Big Data and Analytics, edition 127, chapter 0, pages 23-45, Springer.
    20. Yannis Charalabidis & Anneke Zuiderwijk & Charalampos Alexopoulos & Marijn Janssen & Thomas Lampoltshammer & Enrico Ferro, 2018. "The World of Open Data," Public Administration and Information Technology, Springer, number 978-3-319-90850-2, June.
    21. Adegboyega Ojo & Samuel Adebayo, 2017. "Blockchain as a Next Generation Government Information Infrastructure: A Review of Initiatives in D5 Countries," Public Administration and Information Technology, in: Adegboyega Ojo & Jeremy Millard (ed.), Government 3.0 – Next Generation Government Technology Infrastructure and Services, pages 283-298, Springer.
    22. Vincenzo Morabito, 2015. "Big Data and Analytics," Springer Books, Springer, edition 127, number 978-3-319-10665-6, June.
    23. Burak Pak & Alvin Chua & Andrew Vande Moere, 2017. "Brussels: Socio-Demographic Inequality in Crowdsourced Civic Participation," Journal of Urban Technology, Taylor & Francis Journals, vol. 24(2), pages 65-87, April.
    24. Helena Alves, 2013. "Co-creation and innovation in public services," The Service Industries Journal, Taylor & Francis Journals, vol. 33(7-8), pages 671-682, May.
    25. Dauth, Wolfgang & Findeisen, Sebastian & Südekum, Jens & Wößner, Nicole, 2017. "German robots - the impact of industrial robots on workers," IAB-Discussion Paper 201730, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cristiano CODAGNONE & Giovanni LIVA & Egidijus BARCEVICIUS & Gianluca MISURACA & Luka KLIMAVICIUTE & Michele BENEDETTI & Irene VANINI & Giancarlo VECCHI & Emily RYEN GLOINSON & Katherine STEWART & Sti, 2020. "Assessing the impacts of digital government transformation in the EU: Conceptual framework and empirical case studies," JRC Research Reports JRC120865, Joint Research Centre.
    2. Gianluca MISURACA & Colin van Noordt, 2020. "AI Watch - Artificial Intelligence in public services: Overview of the use and impact of AI in public services in the EU," JRC Research Reports JRC120399, Joint Research Centre.
    3. Sylvie Occelli & Simone Landini, 2021. "Thinking Together and Governance in Transport Planning: Can We Strengthen the Connections?," International Journal of E-Planning Research (IJEPR), IGI Global, vol. 10(4), pages 39-62, October.
    4. Aleksander Aristovnik & Polonca Kovač & Eva Murko & Dejan Ravšelj & Lan Umek & Marie Bohatá & Bernhard Hirsch & Fabienne-Sophie Schäfer & Nina Tomaževič, 2021. "The Use of ICT by Local General Administrative Authorities during COVID-19 for a Sustainable Future: Comparing Five European Countries," Sustainability, MDPI, vol. 13(21), pages 1-20, October.
    5. Polonca Kovač, 2020. "Debureaucratization Limits in Administrative Procedures Codification: Lessons from Slovenia," Administrative Sciences, MDPI, vol. 11(1), pages 1-17, December.

    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. Cirillo, Valeria & Evangelista, Rinaldo & Guarascio, Dario & Sostero, Matteo, 2021. "Digitalization, routineness and employment: An exploration on Italian task-based data," Research Policy, Elsevier, vol. 50(7).
    2. Ben Vermeulen & Jan Kesselhut & Andreas Pyka & Pier Paolo Saviotti, 2018. "The Impact of Automation on Employment: Just the Usual Structural Change?," Sustainability, MDPI, vol. 10(5), pages 1-27, May.
    3. Gries, Thomas & Naude, Wim, 2018. "Artificial intelligence, jobs, inequality and productivity: Does aggregate demand matter?," MERIT Working Papers 2018-047, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Armanda Cetrulo & Dario Guarascio & Maria Enrica Virgillito, 2020. "Anatomy of the Italian occupational structure: concentrated power and distributed knowledge," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(6), pages 1345-1379.
    5. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    6. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2019. "Digitalization and the Future of Work: Macroeconomic Consequences," IZA Discussion Papers 12428, Institute of Labor Economics (IZA).
    7. Fossen, Frank M. & Sorgner, Alina, 2019. "New Digital Technologies and Heterogeneous Employment and Wage Dynamics in the United States: Evidence from Individual-Level Data," IZA Discussion Papers 12242, Institute of Labor Economics (IZA).
    8. Zhang, Xinchun & Sun, Murong & Liu, Jianxu & Xu, Aijia, 2024. "The nexus between industrial robot and employment in China: The effects of technology substitution and technology creation," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    9. Gregory, Terry & Salomons, Anna & Zierahn, Ulrich, 2016. "Racing With or Against the Machine? Evidence from Europe," VfS Annual Conference 2016 (Augsburg): Demographic Change 145843, Verein für Socialpolitik / German Economic Association.
    10. Dengler, Katharina & Matthes, Britta, 2018. "The impacts of digital transformation on the labour market: Substitution potentials of occupations in Germany," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 304-316.
    11. Maarten Goos & Melanie Arntz & Ulrich Zierahn & Terry Gregory & Stephanie Carretero Gomez & Ignacio Gonzalez Vazquez & Koen Jonkers, 2019. "The Impact of Technological Innovation on the Future of Work," JRC Working Papers on Labour, Education and Technology 2019-03, Joint Research Centre.
    12. Genz Sabrina & Janser Markus & Lehmer Florian, 2019. "The Impact of Investments in New Digital Technologies on Wages – Worker-Level Evidence from Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(3), pages 483-521, June.
    13. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2021. "Stop worrying and love the robot: An activity-based approach to assess the impact of robotization on employment dynamics," GLO Discussion Paper Series 802, Global Labor Organization (GLO).
    14. Pouliakas, Konstantinos, 2018. "Determinants of Automation Risk in the EU Labour Market: A Skills-Needs Approach," IZA Discussion Papers 11829, Institute of Labor Economics (IZA).
    15. Brall, Franziska & Schmid, Ramona, 2020. "Automation, robots and wage inequality in Germany: A decomposition analysis," Hohenheim Discussion Papers in Business, Economics and Social Sciences 14-2020, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    16. Cristiano CODAGNONE & Giovanni LIVA & Egidijus BARCEVICIUS & Gianluca MISURACA & Luka KLIMAVICIUTE & Michele BENEDETTI & Irene VANINI & Giancarlo VECCHI & Emily RYEN GLOINSON & Katherine STEWART & Sti, 2020. "Assessing the impacts of digital government transformation in the EU: Conceptual framework and empirical case studies," JRC Research Reports JRC120865, Joint Research Centre.
    17. Thomsen, Stephan L, 2018. "Die Rolle der Computerisierung und Digitalisierung für Beschäftigung und Einkommen," Hannover Economic Papers (HEP) dp-645, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    18. Naude, Wim, 2019. "The race against the robots and the fallacy of the giant cheesecake: Immediate and imagined impacts of artificial intelligence," MERIT Working Papers 2019-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    19. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    20. Dachs, Bernhard, 2017. "The impact of new technologies on the labour market and the social economy," MPRA Paper 90519, University Library of Munich, Germany.

    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:ipt:iptwpa:jrc118857. 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: Publication Officer (email available below). General contact details of provider: https://edirc.repec.org/data/ipjrces.html .

    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.