IDEAS home Printed from https://ideas.repec.org/a/kap/policy/v52y2019i1d10.1007_s11077-018-9326-4.html
   My bibliography  Save this article

Multilevel policy implementation and the where of learning: the case of the information system for school buildings in Italy

Author

Listed:
  • Marco Giulio

    (Politecnico di Milano)

  • Giancarlo Vecchi

    (Politecnico di Milano)

Abstract

The paper builds on the case of the design and implementation of the National Information System for School Buildings in Italy. The project is one of digitalisation of the public sector and involves several layers of territorial governments (the State Department for Education, regional and local governments) and ICT experts, and is becoming a tool for policy making in the field. Nonetheless, the programme was initially designed with a top-down approach immediately stuck. Its effective implementation only took place some years later by downsizing policy design and allowing regions to implement those digital solutions which, in the meanwhile, had been designed and implemented from the bottom-up. The paper draws from the case study theoretical considerations about the importance of where policy learning happens and the strategies that policy makers may adopt in case of policy failure in order to re-establish the conditions for effectiveness.

Suggested Citation

  • Marco Giulio & Giancarlo Vecchi, 2019. "Multilevel policy implementation and the where of learning: the case of the information system for school buildings in Italy," Policy Sciences, Springer;Society of Policy Sciences, vol. 52(1), pages 119-135, March.
    • Handle: RePEc:kap:policy:v:52:y:2019:i:1:d:10.1007_s11077-018-9326-4
    DOI: 10.1007/s11077-018-9326-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11077-018-9326-4
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11077-018-9326-4?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. Michael Hill & Peter Hupe, 2003. "The multi-layer problem in implementation research," Public Management Review, Taylor & Francis Journals, vol. 5(4), pages 471-490, December.
    2. Claire A. Dunlop & Claudio M. Radaelli, 2013. "Systematising Policy Learning: From Monolith to Dimensions," Political Studies, Political Studies Association, vol. 61(3), pages 599-619, October.
    3. Breznitz, Dan, 2007. "Industrial R&D as a national policy: Horizontal technology policies and industry-state co-evolution in the growth of the Israeli software industry," Research Policy, Elsevier, vol. 36(9), pages 1465-1482, November.
    4. May, Peter J., 1992. "Policy Learning and Failure," Journal of Public Policy, Cambridge University Press, vol. 12(4), pages 331-354, October.
    5. Eugene Bardach, 2004. "Presidential address-The extrapolation problem: How can we learn from the experience of others?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 23(2), pages 205-220.
    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. Marco Di Giulio & Giancarlo Vecchi, 2023. "How “institutionalization” can work. Structuring governance for digital transformation in Italy," Review of Policy Research, Policy Studies Organization, vol. 40(3), pages 406-432, May.

    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. Raul Lejano & Savita Shankar, 2013. "The contextualist turn and schematics of institutional fit: Theory and a case study from Southern India," Policy Sciences, Springer;Society of Policy Sciences, vol. 46(1), pages 83-102, March.
    2. Ekaterina Domorenok & Anthony R. Zito, 2021. "Engines of learning? Policy instruments, cities and climate governance," Policy Sciences, Springer;Society of Policy Sciences, vol. 54(3), pages 507-528, September.
    3. Claire A. Dunlop & Claudio M. Radaelli, 2016. "Policy learning in the Eurozone crisis: modes, power and functionality," Policy Sciences, Springer;Society of Policy Sciences, vol. 49(2), pages 107-124, June.
    4. Antje Witting, 2017. "Insights from ‘policy learning’ on how to enhance the use of evidence by policymakers," Palgrave Communications, Palgrave Macmillan, vol. 3(1), pages 1-9, December.
    5. Simone Busetti, 2023. "Causality is good for practice: policy design and reverse engineering," Policy Sciences, Springer;Society of Policy Sciences, vol. 56(2), pages 419-438, June.
    6. Heather Millar, 2020. "Problem Uncertainty, Institutional Insularity, and Modes of Learning in Canadian Provincial Hydraulic Fracturing Regulation," Review of Policy Research, Policy Studies Organization, vol. 37(6), pages 765-796, November.
    7. Alastair Stark, 2019. "Policy learning and the public inquiry," Policy Sciences, Springer;Society of Policy Sciences, vol. 52(3), pages 397-417, September.
    8. Meng Hsuan Chou & Michael Howlett & Kei Koga, 2016. "Image and Substance Failures in Regional Organisations: Causes, Consequences, Learning and Change?," Politics and Governance, Cogitatio Press, vol. 4(3), pages 50-61.
    9. Yannis Papadopoulos, 2018. "How does knowledge circulate in a regulatory network? Observing a European Platform of Regulatory Authorities meeting," Regulation & Governance, John Wiley & Sons, vol. 12(4), pages 431-450, December.
    10. Jeroen Heijden, 2014. "Experimentation in policy design: insights from the building sector," Policy Sciences, Springer;Society of Policy Sciences, vol. 47(3), pages 249-266, September.
    11. Fredrik von Malmborg & Peter A. Strachan, 2023. "Advocacy Coalitions and Paths to Policy Change for Promoting Energy Efficiency in European Industry," Energies, MDPI, vol. 16(9), pages 1-21, April.
    12. Marsden, Greg & Stead, Dominic, 2011. "Policy transfer and learning in the field of transport: A review of concepts and evidence," Transport Policy, Elsevier, vol. 18(3), pages 492-500, May.
    13. C. Emdad Haque & Mahed-Ul-Islam Choudhury & Md. Sowayib Sikder, 2019. "“Events and failures are our only means for making policy changes”: learning in disaster and emergency management policies in Manitoba, Canada," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 98(1), pages 137-162, August.
    14. Covadonga Meseguer, 2005. "Policy Learning, Policy Diffusion, and the Making of a New Order," The ANNALS of the American Academy of Political and Social Science, , vol. 598(1), pages 67-82, March.
    15. Mæhle, Per Magnus & Smeland, Sigbjørn, 2021. "Implementing cancer patient pathways in Scandinavia how structuring might affect the acceptance of a politically imposed reform," Health Policy, Elsevier, vol. 125(10), pages 1340-1350.
    16. Marco Di Giulio & Giancarlo Vecchi, 2023. "How “institutionalization” can work. Structuring governance for digital transformation in Italy," Review of Policy Research, Policy Studies Organization, vol. 40(3), pages 406-432, May.
    17. Yi Qu & Yingqi Wei & Tao Jiang & Nan Zheng, 2017. "Linking R&D strategy, national innovation system and FDI to firm performance," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 15(1), pages 41-58, January.
    18. Angelou, Angelos, 2024. "Linking crises: inter-crisis learning and the European Commission’s approach to the National Recovery and Resilience Plans," LSE Research Online Documents on Economics 123867, London School of Economics and Political Science, LSE Library.
    19. Kyriakos Moumoutzis & Sotirios Zartaloudis, 2016. "Europeanization Mechanisms and Process Tracing: A Template for Empirical Research," Journal of Common Market Studies, Wiley Blackwell, vol. 54(2), pages 337-352, March.
    20. Justin Longo & Alan Rodney Dobell, 2018. "The Limits of Policy Analytics: Early Examples and the Emerging Boundary of Possibilities," Politics and Governance, Cogitatio Press, vol. 6(4), pages 5-17.

    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:policy:v:52:y:2019:i:1:d:10.1007_s11077-018-9326-4. 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.