Ojo, Adegboyega (2019) Next Generation Government - Hyperconnected, Smart and Augmented. In: Collaborative Networks and Digital Transformation. Springer, pp. 285-294. ISBN 9783030284633
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Abstract
Achieving the Sustainable Development Goals (SDG2030) requires governments and their various institutions to be more agile, collaborate across agency boundaries and national borders, and also develop specific capabilities. Some of the required capabilities are related to developing and sustaining governance networks, digitally transforming public service delivery, building resilience structures within government for crisis and disasters, and harnessing disruptive technologies for new solutions to hitherto unsolved problems. This paper highlights how the integration of hyper-connectivity, “smartness” and Artificial Intelligence adoption within the context of the recent Post-New Public Management (NPM) paradigms can generate new capabilities to strengthen government institutions towards achieving their relevant SDG goals.
Item Type: | Book Section |
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Additional Information: | Cite as: Ojo A. (2019) Next Generation Government - Hyperconnected, Smart and Augmented. In: Camarinha-Matos L., Afsarmanesh H., Antonelli D. (eds) Collaborative Networks and Digital Transformation. PRO-VE 2019. IFIP Advances in Information and Communication Technology, vol 568. Springer, Cham. https://doi.org/10.1007/978-3-030-28464-0_25 |
Keywords: | Hyperconnectivity; Smart Government; Augmented Government; Collaborative Networks; Post-New Public Management; Artificial Intelligence; |
Academic Unit: | Faculty of Social Sciences > School of Business Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI |
Item ID: | 14359 |
Identification Number: | 10.1007/978-3-030-28464-0_25 |
Depositing User: | Adegboyega Ojo |
Date Deposited: | 20 Apr 2021 15:56 |
Journal or Publication Title: | Collaborative Networks and Digital Transformation |
Publisher: | Springer |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/14359 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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