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Big Data and Analytics for Government Innovation

In: Big Data and Analytics

Author

Listed:
  • Vincenzo Morabito

    (Bocconi University)

Abstract

This chapter discusses the transformation of the public service provision model due to big data, and in particular due to public engagement in the context of open government initiatives. We outline the changing role of governments in societies, and the technological enablement towards direct online democracy and active citizen engagement, as well as the utilization of big data enabled governance as a competitive advantage for attracting resources and talent to maintain a global smart megacity status. To this end, this chapter discusses the utilization of (a) new sources of data, such as CrowdsourcingCrowdsourcing , Internet of Things, (b) engage public talent, (c) institutionalize private–public partnerships and (d) seeks for new models of value-for-money public provision, but also the challenges that big data present us with respect to data ownershipData ownership , data quality, privacy, civil liberties, and equality, as well as public sector’s ability to attract big data analyst talent. We demonstrate different aspects of this discussion through two case studies: BarcelonaBarcelona Smart City and HaitiHaiti ’s emergency support during the 2010 earthquake disaster.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:sprchp:978-3-319-10665-6_2
    DOI: 10.1007/978-3-319-10665-6_2
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    Cited by:

    1. Simonofski, Anthony & Handekyn, Phebe & Vandennieuwenborg, Celien & Wautelet, Yves & Snoeck, Monique, 2023. "Smart mobility projects: Towards the formalization of a policy-making lifecycle," Land Use Policy, Elsevier, vol. 125(C).
    2. Hashem, Ibrahim Abaker Targio & Chang, Victor & Anuar, Nor Badrul & Adewole, Kayode & Yaqoob, Ibrar & Gani, Abdullah & Ahmed, Ejaz & Chiroma, Haruna, 2016. "The role of big data in smart city," International Journal of Information Management, Elsevier, vol. 36(5), pages 748-758.
    3. Weihong Xie & Qian Zhang & Yuyao Lin & Zhong Wang & Zhongshun Li, 2024. "The Effect of Big Data Capability on Organizational Innovation: a Resource Orchestration Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3767-3791, March.
    4. 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.
    5. Christina Vasilopoulou & Leonidas Theodorakopoulos & Konstantinos Giotopoulos, 2023. "Big Data Analytics: A Catalyst for Digital Transformation in e-Government," Technium Social Sciences Journal, Technium Science, vol. 45(1), pages 449-459, July.

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