Next Generation Government - Hyperconnected, Smart and Augmented
Open accessThe claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Dynamic capabilities ensure optimal resource configurations can be mobilised during the assimilation of AI technologies.
“Dynamic capabilities ensure optimal resource configurations can be mobilised during the assimilation of AI technologies”
From AI adoption and diffusion in public administration: A systematic literature review and future research agenda (2023) · cites this paper as Ojo, 2019
Section 4 (p. 8) describes dynamic government collaboration networks that can reconfigure as circumstances change and facilitate resource pooling. It also discusses embedding innovations such as AI, but does not say that dynamic capabilities ensure optimal resource configurations during AI assimilation. (LLM, conf=0.78)
Experimental — accuracy not yet measuredAutomation of mundane tasks enables redirecting public managers towards complex societal issues.
“Or, the ability to redirect public managers towards complex societal issues by automation of mundane tasks (service values) (Ojo, 2019).”
From AI adoption and diffusion in public administration: A systematic literature review and future research agenda (2023) · cites this paper as Ojo, 2019
Section 3.3 (p. 6) says robotic and cognitive automation can shift human labour to high-value work, and the Introduction (p. 2) identifies tackling complex societal challenges as a government goal. The paper does not specifically say that automating mundane tasks redirects public managers toward those challenges. (LLM, conf=0.82)
Experimental — accuracy not yet measuredCitizens and businesses can co-produce public services using AI-enabled platforms.
“Citizens and businesses can co-produce public services using AI-enabled platforms”
From AI adoption and diffusion in public administration: A systematic literature review and future research agenda (2023) · cites this paper as Ojo, 2019
Section 4 (p. 8) says citizens and businesses can initiate co-production of digital services using government-provided tools and platforms. It describes this capability in a convergence that includes AI, but does not specify that the co-production platforms themselves are AI-enabled. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
New Public Management Is Dead--Long Live Digital-Era Governance
Dunleavy, P. (2005) · Journal of Public Administration Research and Theory · doi:10.1093/jopart/mui057 · Cited by 2,638 · see citing works
The second wave of digital-era governance: a quasi-paradigm for government on the Web
Margetts, H., & Dunleavy, P. (2013) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2012.0382 · Cited by 573 · see citing works
A Realist Perspective on AI-era Public Management*
Ojo, A., Mellouli, S., & Ahmadi Zeleti, F. (2019) · Proceedings of the 20th Annual International Conference on Digital Government Research · doi:10.1145/3325112.3325261 · Cited by 63 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 15
- [1][1] J. R. Gil-Garcia, N. Helbig, and A. Ojo, 'Being smart: Emerging technologies and innovation in the public sector,' Gov. Inf. Q. , vol. 31, no. S1, pp. I1-I8, 2014. -
- [2][2] J. Millard, 'European Strategies for e-Governance to 2020 and Beyond,' in Government 3.0 -- Next Generation Government Technology Infrastructure and Services: Roadmaps, Enabling Technologies & Challenges , A. Ojo and J. Millard, Eds. Cham: Springer International Publishing, 2017, pp. 1-25. -
- [3][3] A. Ojo and S. Adebayo, 'Blockchain as a Next Generation Government Information Infrastructure: A Review of Initiatives in D5 Countries,' in Government 3.0 -- Next Generation Government Technology Infrastructure and Services: Roadmaps, Enabling Technologies & Challenges , A. Ojo and J. Millard, Eds. Cham: Springer International Publishing, 2017, pp. 283-298. -
- [5][5] W. J. Orlikowski, 'The Duality of Technology : Rethinking the Concept of Technology in Organizations,' Organ. Sci. , vol. 3, no. 3, pp. 398-427, 1992. -
- [8][8] C. Greve, 'Ideas in Public Management Reform for the 2010s. Digitalization, Value Creation and Involvement,' Public Organ. Rev. , vol. 15, no. 1, pp. 49-65, 2015. -
- [9][9] G. Stoker, 'Public Value Management: A New Narrative for Networked Governance?,' Am. Rev. Public Adm. Vol. , vol. 36, no. 1, pp. 41-57, 2006. -
- [15][15] A. Ojo, E. Curry, and T. Janowski, 'Designing Next Generation Smart City Initiatives -Harnessing Findings and Lessons from a Study of Ten Smart City Programs,' in Proceedings of the European Conference on Information Systems (ECIS) 2014, Tel Aviv, Israel, June 9-11, 2014 , 2014, pp. 0-14. -
- [16][16] S. Mellouli, L. F. Luna-Reyes, and J. Zhang, 'Smart government, citizen participation and open data,' Inf. Polity , vol. 19, no. 1-2, pp. 1-4, 2014. -
- [18][18] E. A. Feigenbaum, 'Artificial Intelligence Research,' IEEE Trans. Inf. Theory , no. October, pp. 248-253, 1962. -
- [19][19] H. A. Simon, 'Artificial intelligence: an empirical science,' Artif. Intell. , vol. 77, no. 1, pp. 95-127, 1995. -
- [20][20] M. L. Minsky, 'Steps toward Artificial Intelligence,' in Proceedings of the IRE , 1961, vol. 49, no. 1, pp. 8-30. -
- [23][23] S. J. Mikhaylov, S. J. Esteve, and S. J. Campion, 'AI for the Public Sector: Opportunities and challenges of cross-sector collaboration,' Philos. Trans. R. Soc. A , vol. 376, no. 2128, pp. 1-26, 2018. -
- [24][24] L. M. Camarinha-matos and H. Afsarmanesh, 'Value creation in a knowledge society,' in International Federation for Information Processing (IFIP), Volume 207, Knowledge Enterprise: Intelligent Strategies In Product Design, Manufacturing, and - Management , 2006, vol. 207, pp. 26-40. -
- [25][25] E. Estevez, A. Ojo, and T. Janowski, 'Idioms for Collaborative Government Networks - Conceptualization and Applications to Seamless Services,' Networks , pp. 1-8. -
- [26][26] A. Ojo and S. Mellouli, 'Deploying governance networks for societal challenges,' Gov. Inf. Q. , vol. 35, no. 4, pp. S106-S112, 2018.
Cited by
Sorted by citations
Madan, R., & Ashok, M. (2023) · Government Information Quarterly · doi:10.1016/j.giq.2022.101774 · Cited by 468 · see citing works
- Authors
- Ojo, A.
- Affiliations
- Gdańsk University of Technology (PL)
- Corresponding author
- Ojo, Adegboyega
- ORCID
- Ojo, Adegboyega
- Venue
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer International Publishing
- Published
- 2019
- Volume
- AICT-568
- Pages
- 285-294
- ISSN
- 1868-422X (ISSN-L)
- 1868-4238
- OpenAlex
- W2972938414
- Cited by
- 8
- References
- 3
- Citations by year
- 2024: 2 · 2023: 2 · 2022: 1 · 2021: 2 · 2020: 1
- FWCI
- 6.89
- Type
- conference paper
- Language
- en
- Open access
- green
- inria.hal.science
- Licence
- Locations
- IFIP advances in information and communication technology (publishedVersion)
- Maynooth University ePrints and eTheses Archive (Maynooth University) (acceptedVersion)
- HAL (submittedVersion, cc-by)
- Topics
- Social Sciences › Political Science and International Relations › E-Government and Public Services
- Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
- Social Sciences › Public Administration › Public Policy and Administration Research
- Keywords
- hyperconnectivity, smart government, artificial intelligence adoption, digital transformation of public services, post-NPM, inter-agency cooperation, governance networks, disaster resilience, disruptive technologies, Sustainable Development Goals
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review