[
Becker, J.; Knackstedt, R. & Pöppelbuß, J. (2009), ‘Developing Maturity Models for IT Management: A Procedure Model and Its Application,’ Business and Information Systems Engineering, vol. 1, pp. 213–222. https://doi.org/10.1007/s12599-009-0044-5
]Search in Google Scholar
[
Benington, J. (2011), ‘From Private Choice to Public Value,’ in J. Benington & M. H. Moore (eds.) Public Value: Theory and Practice, Basingstoke: Palgrave Macmillan, pp. 31–51.
]Search in Google Scholar
[
Brynjolfsson, E. & Hitt, L. M. (2000), ‘Beyond Computation: Information Technology, Organizational Transformation and Business Performance,’ Journal of Economic Perspectives, vol. 14, no. 4, pp. 23–48. https://doi.org/10.1257/jep.14.4.23
]Search in Google Scholar
[
Brynjolfsson, E. & McAfee, A. (2014), The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies, New York: W. W. Norton and Company.
]Search in Google Scholar
[
Creswell, J. W. & Poth, C. N. (2016), Qualitative Inquiry and Research Design: Choosing Among Five Approaches, Los Angeles: Sage Publications.
]Search in Google Scholar
[
Das, S. D.; Bala, P. K. & Mishra, A. N. (2023), ‘Towards Defining a Trustworthy Artificial Intelligence System Development Maturity Model,’ Journal of Computer Information Systems, pp. 1–22. https://doi.org/10.1080/08874417.2023.2251443
]Search in Google Scholar
[
Dreyling, R.; Erlenheim, R.; Tammet, T. & Pappel, I. (2023), ‘AI Readiness Assessment for Data-driven Public Service Projects: Change Management and Human Elements of Procurement,’ in V. Salminen (ed.) Human Factors, Business Management and Society, vol. 97, AHFE International, p. 97. https://doi.org/10.54941/ahfe1003894
]Search in Google Scholar
[
Dreyling, R.; Jackson, E. B.; Tammet, T.; Labanava, A. & Pappel, I. (2021), ‘Social, Legal, and Technical Considerations for Machine Learning and Artificial Intelligence Systems in Government,’ in Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS, pp. 701–708. https://doi.org/10.5220/0010452907010708
]Search in Google Scholar
[
Dreyling, R.; Tammet, T. & Pappel, I. (2024), ‘Technology Push in AI-Enabled Services: How to Master Technology Integration in Case of Bürokratt,’ SN Computer Science, Future Data Science Engineering 2024, vol. 5, art. 738. https://doi.org/10.1007/s42979-024-03064-0
]Search in Google Scholar
[
Engstrom, D. F. & Ho, D. E. (2021), ‘Artificially Intelligent Government: A Review and Agenda,’ in R. Vogl (ed.) Research Handbook on Big Data Law, Cheltenham: Edward Elgar Publishing, Ltd., pp. 57–86. https://doi.org/10.4337/9781788972826.00009
]Search in Google Scholar
[
Fukas, P.; Rebstadt, J.; Remark, F. & Thomas, O. (2021), ‘Developing an Artificial Intelligence Maturity Model for Auditing,’ in European Conference on Information Systems, ECIS Research Papers, no. 1713.
]Search in Google Scholar
[
Hevner, A. R.; March, S. T.; Park, J. & Ram, S. (2004), ‘Design Science in Information Systems Research,’ MIS Quarterly, vol. 28, no. 1, pp. 75–105. https://doi.org/10.2307/25148625
]Search in Google Scholar
[
Hinings, B.; Gegenhuber, T. & Greenwood, R. (2018), ‘Digital Innovation and Transformation: An Institutional Perspective,’ Information and Organization, vol. 28, no. 1, pp. 52–61. https://doi.org/10.1016/j.infoandorg.2018.02.004
]Search in Google Scholar
[
Holmström, J. (2022), ‘From AI to Digital Transformation: The AI Readiness Framework,’ Business Horizons, vol. 65, no. 3, pp. 329–339. https://doi.org/10.1016/j.bushor.2021.03.006
]Search in Google Scholar
[
Hong, S.; Kim, Y. & Park, J. (2018), ‘Big Data and Smart City Planning: The Case of Owl Bus in Seoul,’ in 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA: IEEE, pp. 4492–4500. https://doi.org/10.1109/BigData.2018.8622632
]Search in Google Scholar
[
Jöhnk, J.; Weißert, M. & Wyrtki, K. (2021), ‘Ready or Not, AI Comes—An Interview Study of Organizational AI Readiness Factors,’ Business and Information Systems Engineering, vol. 63, no. 1, pp. 5–20. https://doi.org/10.1007/s12599-020-00676-7
]Search in Google Scholar
[
Kesa, A. & Kerikmäe, T. (2020), ‘Artificial Intelligence and the GDPR: Inevitable Nemeses?’ TalTech Journal of European Studies, vol. 10, no. 3, pp. 68–90. https://doi.org/10.1515/bjes-2020-0022
]Search in Google Scholar
[
Labanava, A.; Dreyling, R. M. III; Mortati, M.; Liiv, I. & Pappel, I. (2022), ‘Capacity Building in Government: Towards Developing a Standard for a Functional Specialist in AI for Public Services,’ in Future Data and Security Engineering, Singapore: Springer Nature Singapore, pp. 503–516. https://doi.org/10.1007/978-981-19-8069-5_34
]Search in Google Scholar
[
Masoura, M. & Malefaki, S. (2023), ‘Evolution of the Digital Economy and Society Index in the European Union: Α Socioeconomic Perspective,’ TalTech Journal of European Studies, vol. 13, no. 2, pp. 177–203. https://doi.org/10.2478/bjes-2023-0020
]Search in Google Scholar
[
Mehr, H. (2017), Artificial Intelligence for Citizen Services and Government, Cambridge: MA: ASH Center for Democratic Governance and Innovation, Harvard Kennedy School.
]Search in Google Scholar
[
Mergel, I.; Edelmann, N. & Haug, N. (2019), ‘Defining Digital Transformation: Results from Expert Interviews,’ Government Information Quarterly, vol. 36, no. 4, art. 101385. https://doi.org/10.1016/j.giq.2019.06.002
]Search in Google Scholar
[
Moore, M. H. (1995), Creating Public Value: Strategic Management in Government, Cambridge, MA: Harvard University Press.
]Search in Google Scholar
[
Pang, M. S.; Lee, G. & DeLone, W. H. (2014), ‘IT Resources, Organizational Capabilities, and Value Creation in Public-Sector Organizations: A Public-Value Management Perspective,’ Journal of Information Technology, vol. 29, no. 3, pp. 187–205. https://doi.org/10.1057/jit.2014.2
]Search in Google Scholar
[
Ramiro Troitiño, D. (2022), ‘The European Union Facing the 21st Century: The Digital Revolution,’ TalTech Journal of European Studies, vol. 12, no. 1, pp. 60–78. https://doi.org/10.2478/bjes-2022-0003
]Search in Google Scholar
[
Sadiq, R. B.; Safie, N.; Abd Rahman, A. H. & Goudarzi, S. (2021), ‘Artificial Intelligence Maturity Model: A Systematic Literature Review,’ PeerJ Computer Science, vol. 7, art. e661. https://doi.org/10.7717/peerj-cs.661
]Search in Google Scholar
[
Stavytskyy, A.; Kharlamova, G. & Stoica, E. (2019), ‘The Analysis of the Digital Economy and Society Index in the EU,’ TalTech Journal of European Studies, vol. 9, no. 3, pp. 245–261. https://doi.org/10.1515/bjes-2019-0032
]Search in Google Scholar
[
Tskhadadze, K. (2024), ‘E-Government Implementation on the Example of Georgia,’ TalTech Journal of European Studies, vol. 14, no. 1, pp. 253–270. https://doi.org/10.2478/bjes-2024-0012
]Search in Google Scholar
[
Üveges, I. (2022), ‘Comprehensibility and Automation: Plain Language in the Era of Digitalization,’ TalTech Journal of European Studies, vol. 12, no. 2, pp. 64–86. https://doi.org/10.2478/bjes-2022-0012
]Search in Google Scholar
[
Van Noordt, C. & Misuraca, G. (2022a), ‘Artificial Intelligence for the Public Sector: Results of Landscaping the Use of AI in Government Across the European Union,’ Government Information Quarterly, vol. 39, no. 3, art. 101714. https://doi.org/10.1016/j.giq.2022.101714
]Search in Google Scholar
[
Van Noordt, C. & Misuraca, G. (2022b), ‘Exploratory Insights on Artificial Intelligence for Government in Europe,’ Social Science Computer Review, vol. 40, no. 2, pp. 426–444.
]Search in Google Scholar
[
Vial, G. (2021), ‘Understanding Digital Transformation: A Review and a Research Agenda,’ in A. Hinterhuber, T. Vescovi & F. Checchinato (eds.) Managing Digital Transformation, London: Routledge, pp. 13–66. https://doi.org/10.4324/9781003008637-4
]Search in Google Scholar
[
Warsinske, J.; Henry, K.; Graff, M. et al., eds. (2019), The Official (ISC) 2 Guide to the CISSP CBK Reference, Hoboken, NJ: John Wiley and Sons.
]Search in Google Scholar
[
Williams, I. & Shearer, H. (2011), ‘Appraising Public Value: Past, Present and Futures,’ Public Administration, vol. 89, no. 4, pp. 1367–1384. https://doi.org/10.1111/j.1467-9299.2011.01942.x
]Search in Google Scholar
[
Wirtz, B. W.; Weyerer, J. C. & Geyer, C. (2019), ‘Artificial Intelligence and the Public Sector—Applications and Challenges,’ International Journal of Public Administration, vol. 42, no. 7, pp. 596–615. https://doi.org/10.1080/01900692.2018.1498103
]Search in Google Scholar
[
Wirtz, B. W.; Weyerer, J. C. & Sturm, B. J. (2020), ‘The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration,’ International Journal of Public Administration, vol. 43, no. 9, pp. 818–829. https://doi.org/10.1080/01900692.2020.1749851
]Search in Google Scholar
[
Zuiderwijk, A.; Chen, Y.-C. & Salem, F. (2021), ‘Implications of the Use of Artificial Intelligence in Public Governance: A Systematic Literature Review and a Research Agenda,’ Government Information Quarterly, vol. 38, no. 3, art. 101577. https://doi.org/10.1016/j.giq.2021.101577
]Search in Google Scholar
