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Digital Competences for Civil Servants and Digital Ecosystems for More Effective Working Processes in Public Organizations

In: Digital Business Transformation

Author

Listed:
  • Nunzio Casalino

    (Guglielmo Marconi University)

  • Tommaso Saso

    (Guglielmo Marconi University)

  • Barbara Borin

    (LUISS Guido Carli)

  • Enrica Massella

    (AgID—Agenzia per l’Italia Digitale)

  • Flavia Lancioni

    (SAS Italy)

Abstract

Advancements in digital transformation, artificial intelligence, cloud computing, the Internet of Things (IoT), block-chain, big data, smart-working, information systems’ interoperability, etc. are changing the nature of the link between technology and employment in public sector. There is the potential that these changes could bring also benefits beyond labour substitution, including higher levels of output, better quality, and fewer errors that are achievable through automation. The increasing introduction of automation and other digital technologies in public organizations means information systems could progressively substituting traditional outdated workers in performing routine, codifiable tasks while at the same time amplifying the productivity of workers in supplying problem solving skills and adaptability. In a specific report of 2018 PwC calculated that 5.1 million jobs, or 44%, were at risk of digital disruption. A digital workplace value chain has becoming a revolutionary and dominant part of the world economy. Each stage can occur in different countries and under different regulatory conditions and be implemented wherever the necessary skills and materials are available at competitive cost and quality. Digital transformation itself should not be seen as a negative for the workforce. If adopted successfully and combined with successful organisational change and change management practices, they can help public organizations to be able to achieve and became more competitive. This article aims to describe the main goals and the preliminary results of a research that aims at analysing the digital technologies adoption rate in the European public sector, in order to assess also the motivations about the adoption as well as the no-adoption decision, the kind of technologies principally actually adopted inside public organizations and the activities of value chains where the new investments in these new technologies are focused.

Suggested Citation

  • Nunzio Casalino & Tommaso Saso & Barbara Borin & Enrica Massella & Flavia Lancioni, 2020. "Digital Competences for Civil Servants and Digital Ecosystems for More Effective Working Processes in Public Organizations," Lecture Notes in Information Systems and Organization, in: Rocco Agrifoglio & Rita Lamboglia & Daniela Mancini & Francesca Ricciardi (ed.), Digital Business Transformation, pages 315-326, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-47355-6_21
    DOI: 10.1007/978-3-030-47355-6_21
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    Cited by:

    1. Davide Quaglione & Dario D’Ingiullo & Linda Meleo, 2023. "Fixed and mobile broadband penetration and CO2 emissions: evidence from OECD countries," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(3), pages 795-816, October.
    2. Linh Tu Ho & Christopher Gan & Shan Jin & Bryan Le, 2022. "Artificial Intelligence and Firm Performance: Does Machine Intelligence Shield Firms from Risks?," JRFM, MDPI, vol. 15(7), pages 1-20, July.
    3. Masami Yoshida & Anuchai Theeraroungchaisri & Thapanee Thammetar & Jintavee Khlaisang, 2021. "Exploring MOOCs That Promote Innovative Public Services," Sustainability, MDPI, vol. 13(24), pages 1-13, December.

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