The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
From Digital Government to Digital Governance: Are We There Yet?
Open accessAbstract
This paper focuses on the knowledge problem of economics by discussing its current status in light of digitalization. This problem highlights the paradox of not having the necessary knowledge to take an economic decision, but pretending to have it and act, hence questioning the legitimacy of governmental decision-making and its impacts on the economy. Current technological developments are challenging this problem. Big Data has been a neglected phenomenon when it comes to its impact on the nature of knowledge and the decision-making processes associated with it, and it is easy to think that Big Data solves this problem. This research gap is evaluated by re-visiting the knowledge problem and evaluating whether the knowledge problem can still be valid in the digital era. The digital governance issue has been largely covered by literature in terms of technical possibilities. However, the main challenge is not the technical one, but rather how to create governance structures to involve people in decision-making processes, and at the same not fall into the trap of the knowledge problem. The sustainable transition from digital government to digital governance is a transition from a technical structure to multiple processes on different levels, and these processes have their own limits.
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“Large-scale surveillance enables governments to observe citizens and use algorithmic predictions to plan interventions influencing people's lives, decisions, and economies”
From AI adoption and diffusion in public administration: A systematic literature review and future research agenda (2023) · cites this paper as Erkut, 2020
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“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 Erkut, 2020
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Cites
The Use of Knowledge in Society
von Hayek, F. A. (1996) · Elsevier eBooks · doi:10.1016/b978-0-7506-9749-1.50005-3 · Cited by 6,474
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Gang-Hoon, K., Trimi, S., & Ji-Hyong, C. (2014) · Communications of the ACM · doi:10.1145/2500873 · Cited by 639
The Learning Economy and the Economics of Hope
Lundvall, B. (2016) · Anthem Press eBooks · doi:10.26530/oapen_626406 · Cited by 478
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Research works printed but not linked: 9
- Von Hayek, F.A. (1952). The Counterrevolution of Science, The Free Press.
- Erkut, 2016, Product Innovation and Market Shaping: Bridging the Gap with Cognitive Evolutionary Economics, Indraprastha J. Manag., 4, 3
- Mylonakis, 2009, Electronic Governance: A Precursor of Direct democracy?, Ελληνοβρετανικό, 40, 1
- Batubara, F.R., Ubacht, J., and Janssen, M. (1, January May). Challenges of blockchain technology adoption for e-government. Proceedings of the 19th Annual International Conference on Digital Government Research Governance in the Data Age—Dgo ’18, New York, NY, USA.
- Stjernfelt, F., and Lauritzen, A.M. (2020). The Role of the Civil Society. Your Post has been Removed, Springer. · DOI
- Boettke, P., and Coyne, C.J. (2015). The Knowledge Problem. The Oxford Handbook of Austrian Economics, Oxford University Press.
- Von Hayek, F.A. (1948). Individualism & Economic Order, University of chicago Press.
- Thomsen, E.F. (1992). Prices and Knowledge: A Market-Process Perspective, Routledge.
- Erkut, 2018, Putting the ‘Mental’ into the Governmental: How Can Nudges Improve Shock Coping?, New Perspect. Political Econ., 14, 51
Cited by
Madan, R., & Ashok, M. (2023) · Government Information Quarterly · doi:10.1016/j.giq.2022.101774 · Cited by 468
“…from AI (Alshahrani et al., 2021; Ballester, 2021; Campion et al., 2020; Chatfield & Reddick, 2018; Coglianese & Lehr, 2017; Desouza et al., 2020; Erkut, 2020; Fatima et al., 2021; Gao & Janssen, 2020; Gong & Janssen, 2021; Janssen, Brous, et al., 2020; Makasi et al., 2021; Mikalef et al., 2019;…”
InfluentialIntellectual Capital History and Trends: A Bibliometric Analysis Using Scopus Database
Al-Khoury, A. F., Hussein, S. A., Abdulwhab, M., Al-Juboori, Z. M. A., Haddad, H., Ali, M. A., Abed, I. A., & Flayyih, H. H. (2022) · Sustainability · doi:10.3390/su141811615 · Cited by 344
Sharma, G. D., Tiwari, A. K., Erkut, B., & Mundi, H. S. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.111152 · Cited by 195
Self-citationE-government and petty corruption in public sector service delivery
Sadik‐Zada, E. R., Gatto, A., & Niftiyev, İ. (2022) · Technology Analysis and Strategic Management · doi:10.1080/09537325.2022.2067037 · Cited by 136
Mathew, A. O., Jha, A., Lingappa, A. K., & Sinha, P. (2021) · Journal of Open Innovation Technology Market and Complexity · doi:10.3390/joitmc7020144 · Cited by 132
Metadata
- Authors
- Erkut, B.
- Affiliations
- Bahçeşehir Cyprus University (CY)
- Corresponding author
- Erkut, Burak
- ORCID
- Erkut, Burak
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2020-01-23
- Volume
- 12
- Issue
- 3
- Pages
- 860
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W3002991859
- Cited by
- 110
- References
- 49
- Citations by year
- 2026: 18 · 2025: 21 · 2024: 24 · 2023: 15 · 2022: 18 · 2021: 10 · 2020: 4
- FWCI
- 40.58
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Political Science and International Relations › E-Government and Public Services
- Social Sciences › Urban Studies › Smart Cities and Technologies
- Social Sciences › Political Science and International Relations › Public Administration and Political Analysis
- Keywords
- e-government, digital governance, big data, decision-making legitimacy, public decision-making, governance structures, citizen participation, digitalization, limits of knowledge
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.