References
- Agarwal, P. K. (2018). Public administration challenges in the world of AI and bots. Public Administration Review, 78(6), 917–921. 10.1111/puar.12979
- Ahn, M. J., & Chen, Y. C. (2022). Digital transformation toward AI-augmented public administration: The perception of government employees and the willingness to use AI in government. Government Information Quarterly, 39(2),
101664 . 10.1016/j.giq.2021.101664 - Ajayi, A., Akerele, J., Odio, P. E., Collins, A., et al. (2025). A data-driven approach to strengthening cybersecurity policies in government agencies: Best practices and case studies. International Journal of Engineering Research, 21(3), 38–56.
- Allen, D., & Weyl, E. G. (2024). The real dangers of generative AI. Journal of Democracy, 35(1), 147–162. 10.1353/jod.2024.a915355
- Alshahrani, A., Dennehy, D., & Mäntymäki, M. (2022). An attention-based view of AI assimilation in public sector organizations: The case of Saudi Arabia. Government Information Quarterly, 39(4). 10.1016/j.giq.2021.101617
- Anz, P. (2025, March 24). Bund testet eigene KI “Gov-GPT”. inside-it.ch.
https://www.inside-it.ch/post/bund-testet-eigene-ki-gov-gpt-20250324 - Aoki, N. (2020). An experimental study of public trust in AI chatbots in the public sector. Government information quarterly, 37(4),
101490 . 10.1016/j.giq.2020.101490 - Arduini, D., Belotti, F., Denni, M., Giungato, G., & Zanfei, A. (2010). Technology adoption and innovation in public services the case of e-government in Italy. Information economics and policy, 22(3), 257–275. 10.1016/j.infoecopol.2009.12.007
- Arce-Urriza, M., Chocarro, R., Cortinas, M., & Marcos-Matas, G. (2025). From familiarity to acceptance: The impact of Generative Artificial Intelligence on consumer adoption of retail chatbots. Journal of Retailing and Consumer Services, 84,
104234 . 10.1016/j.jretconser.2025.104234 - Bannister, F., & Connolly, R. (2020). Administration by algorithm: A risk management framework. Information Polity, 25(4), 471–490. 10.3233/IP-200249
- Barrett, D., & Heale, R. (2020). What are Delphi studies? Evidence-based nursing, 23(3), 68–69. 10.1136/ebnurs-2020-103303
- Baxter, P., & Jack, S. (2008). Qualitative case study methodology: Study design and implementation for novice researchers. The qualitative report, 13(4), 544–559.
- Beltran, M. A., Ruiz Mondragon, M. I., & Han, S. H. (2024, June). Comparative analysis of generative ai risks in the public sector. Proceedings of the 25th Annual International Conference on Digital Government Research (pp. 610–617). 10.1145/3657054.3657125
- Berryhill, J., Heang, K. K., Clogher, R., & McBride, K. (2019). Hello, World: Artificial intelligence and its use in the public sector. OECD Working Papers on Public Governance, 36, 1–184.
- Boston Consulting Group. (2023, November 30). Public sector poised for $1.75 trillion boost in annual productivity by 2033, propelled by GenAI.
https://www.bcg.com/press/30november2023-public-sector-boost-in-annual-productivity-genai - Breimaier, H. E., Heckemann, B., Halfens, R. J., & Lohrmann, C. (2015). The Consolidated Framework for Implementation Research (CFIR): a useful theoretical framework for guiding and evaluating a guideline implementation process in a hospital-based nursing practice. BMC nursing, 14(1),
43 . 10.1186/s12912-015-0088-4 - Bright, J., Enock, F. E., Esnaashari, S., Francis, J., Hashem, Y., & Morgan, D. (2024). Generative AI is already widespread in the public sector. arXiv preprint arXiv:2401.01291.
- Bundesrat. (2024, January 18). Fact Sheet über den Einsatz von generativen KI-Tools in der Bundesverwaltung (Version 1.2).
- Bundesrat. (2025a, March 21). Bundesverwaltung legt Grundsätze für Einsatz von KI in der Verwaltung fest.
https://www.news.admin.ch/de/nsb?id=104596 - Bundesrat. (2025b, November 26). Bundesrat verabschiedet Bericht zur Digitalen Souveränität der Schweiz.
https://www.news.admin.ch/de/newnsb/2VPWG78YrVs4eAVeiklQx - Bundesrat. (2025c, December 12). Leitlinien für die digitale Souveränität in der Bundesverwaltung.
https://www.news.admin.ch/de/newnsb/JxuzVHViGShum_f1h_WDu - Cantens, T. (2025). How will the state think with ChatGPT? The challenges of generative artificial intelligence for public administrations. AI & SOCIETY, 40(1), 133–144. 10.1007/s00146-023-01840-9
- Capgemini, Sogeti, IDC, & Politecnico di Milano. (2024). eGovernment Benchmark 2024 Insight Report. European Commission.
https://ec.europa.eu/digital-strategy/document/download/eGovernment-Benchmark-2024 - Chen, T., Gascó-Hernandez, M., & Esteve, M. (2024). The adoption and implementation of artificial intelligence chatbots in public organizations: Evidence from US state governments. The American Review of Public Administration, 54(3), 255–270. 10.1177/02750740231200522
- Chun, S. A., & Noveck, B. S. (2025). Introduction to the Special Issue on ChatGPT and other Generative AI Commentaries: AI Augmentation in Government 4.0: AI Augmentation in Government 4.0. Digital Government: Research and Practice, 6(1), 1–8. 10.1145/3716859
- Ciriello, R. F., Richter, A., & Schwabe, G. (2018). Digital innovation. Business & Information Systems Engineering, 60(6), 563–569. 10.1007/s12599-018-0559-8
- Coelho, F., Augusto, M., & Lages, L. F. (2011). Contextual factors and the creativity of frontline employees: The mediating effects of role stress and intrinsic motivation. Journal of retailing, 87(1), 31–45. 10.1016/j.jretai.2010.11.004
- Creswell, J. W., Plano Clark, V. L., Gutmann, M. L., & Hanson, W. E. (2003). Advanced mixed methods research designs. Handbook of mixed methods in social and behavioral research, 209(240), 209–240.
- Criado, J. I., & Gil-Garcia, J. R. (2019). Creating public value through smart technologies and strategies: From digital services to artificial intelligence and beyond. International Journal of Public Sector Management, 32(5), 438–450. 10.1108/IJPSM-07-2019-0178
- Damschroeder, L. J., Aron, D. C., Keith, R. E., Kirsh, S. R., Alexander, J. A., & Lowery, J. C. (2009). Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implementation science, 4, 1–15. 10.1186/1748-5908-4-50
- Damschroeder, L. J., Reardon, C. M., Opra Widerquist, M. A., & Lowery, J. (2022). Conceptualizing outcomes for use with the Consolidated Framework for Implementation Research (CFIR): the CFIR Outcomes Addendum. Implementation science, 17(1),
7 . 10.1186/s13012-021-01181-5 - Day, J., & Bobeva, M. (2005). A generic toolkit for the successful management of Delphi studies. Electronic Journal of Business Research Methods, 3(2), 103–116.
- De Sousa, W. G., de Melo, E. R. P., Bermejo, P. H. D. S., Farias, R. A. S., & Gomes, A. O. (2019). How and where is artificial intelligence in the public sector going? A literature review and research agenda. Government Information Quarterly, 36(4). 10.1016/j.giq.2019.07.004
- Desouza, K. C., Dawson, G. S., & Chenok, D. (2020). Designing, developing, and deploying artificial intelligence systems: Lessons from and for the public sector. Business Horizons, 63(2), 205–213. 10.1016/j.bushor.2019.11.004
- Dhillon, G., Smith, K., & Dissanayaka, I. (2021). Information systems security research agenda: Exploring the gap between research and practice. The Journal of Strategic Information Systems, 30(4),
101693 . 10.1016/j.jsis.2021.101693 - Diamond, I. R., Grant, R. C., Feldman, B. M., Pencharz, P. B., Ling, S. C., Moore, A. M., & Wales, P. W. (2014). Defining consensus: a systematic review recommends methodologic criteria for reporting of Delphi studies. Journal of clinical epidemiology, 67(4), 401–409. 10.1016/j.jclinepi.2013.12.002
- Dzwigol, H. (2022). Research methodology in management science: Triangulation. Virtual Economics, 5(1), 78–93. 10.34021/ve.2022.05.01(5)
- Epstein, Z., Hertzmann, A., Investigators of Human Creativity, Akten, M., Farid, H., Fjeld, J., … & Smith, A. (2023). Art and the science of generative AI. Science, 380(6650), 1110–1111. 10.1126/science.adh4451
- Feuerriegel, S., Hartmann, J., Janiesch, C., & Zschech, P. (2024). Generative ai. Business & Information Systems Engineering, 66(1), 111–126. 10.1007/s12599-023-00834-7
- Fleiner, T. (2009). The Curent Situation of Federalism in Switzerland. Revista d’estudis autonòmics i federals, (9), 51–90.
- Füglister, K., & Wasserfallen, F. (2014). Swiss federalism in a changing environment. Comparative European Politics, 12, 404–421. 10.1057/cep.2014.28
- Gerring, J. (2004). What is a case study and what is it good for? American political science review, 98(2), 341–354. 10.1017/S0003055404001182
- Guenduez, A. A., et al. (2025, August). Innovation & generative künstliche Intelligenz: Ergebnisse aus der Schweizer Verwaltungspraxis [Report]. Smart Government Lab.
https://www.alexandria.unisg.ch/handle/20.500.14171/123251 - Guenduez, A. A., & Mettler, T. (2023). Strategically constructed narratives on artificial intelligence: What stories are told in governmental artificial intelligence policies? Government Information Quarterly, 40(1),
101719 . 10.1016/j.giq.2022.101719 - Hong, S., Kim, S. H., & Kwon, M. (2022). Determinants of digital innovation in the public sector. Government Information Quarterly, 39(4),
101723 . 10.1016/j.giq.2022.101723 - Hopster, J. K., & Maas, M. M. (2024). The technology triad: disruptive AI, regulatory gaps and value change. AI and Ethics, 4(4), 1051–1069. 10.1007/s43681-023-00305-5
- Ivankova, N. V., Creswell, J. W., & Stick, S. L. (2006). Using mixed-methods sequential explanatory design: From theory to practice. Field methods, 18(1), 3–20. 10.1177/1525822X05282260
- Janssen, M., & Kuk, G. (2016). The challenges and limits of big data algorithms in technocratic governance. Government Information Quarterly, 33(3), 371–377. 10.1016/j.giq.2016.08.011
- Jones, R. A., Jimmieson, N. L., & Griffiths, A. (2005). The impact of organizational culture and reshaping capabilities on change implementation success: The mediating role of readiness for change. Journal of management studies, 42(2), 361–386. 10.1111/j.1467-6486.2005.00500.x
- Kanbach, D. K., Heiduk, L., Blueher, G., Schreiter, M., & Lahmann, A. (2024). The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective. Review of Managerial Science, 18(4), 1189–1220. 10.1007/s11846-023-00696-z
- Keith, R. E., Crosson, J. C., O’Malley, A. S., Cromp, D., & Taylor, E. F. (2017). Using the Consolidated Framework for Implementation Research (CFIR) to produce actionable findings: a rapid-cycle evaluation approach to improving implementation. Implementation Science, 12, 1–12. 10.1186/s13012-017-0550-7
- Knellwolf, T. (2025, March 24). Federal Council experiments with its own AI. Tages-Anzeiger.
https://www.tagesanzeiger.ch/bundesrat-experimentiert-mit-eigener-ki-123456789 - Kuziemski, M., & Misuraca, G. (2020). AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings. Telecommunications policy, 44(6),
101976 . 10.1016/j.telpol.2020.101976 - Lam, H., Quinn, M., Cipriano-Steffens, T., Jayaprakash, M., Koebnick, E., Randal, F., … & Kim, K. (2021). Identifying actionable strategies: using Consolidated Framework for Implementation Research (CFIR)-informed interviews to evaluate the implementation of a multilevel intervention to improve colorectal cancer screening. Implementation science communications, 2(1),
57 . 10.1186/s43058-021-00150-9 - Landis, M. (2025, March 24). Bund testet Gov-GPT in geschützter Umgebung. IT-Markt. Bund testet Gov-GPT in geschützter Umgebung. IT-Markt. Bund testet Gov-GPT in geschützter Umgebung | IT-Markt.
- Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007). Assimilation of enterprise systems: the effect of institutional pressures and the mediating role of top management. MIS quarterly, 59–87. 10.2307/25148781
- Linder, W., & Vatter, A. (2001). Institutions and outcomes of Swiss federalism: The role of the cantons in Swiss politics. West European Politics, 24(2), 95–122. 10.1080/01402380108425435
- Madan, R., & Ashok, M. (2023). AI adoption and diffusion in public administration: A systematic literature review and future research agenda. Government Information Quarterly, 40(1),
101774 . 10.1016/j.giq.2022.101774 - Maragno, G., Tangi, L., Gastaldi, L., & Benedetti, M. (2023). AI as an organizational agent to nurture: effectively introducing chatbots in public entities. Public Management Review, 25(11), 2135–2165. 10.1080/14719037.2022.2063935
- Margetts, H., Dorobantu, C., & Bright, J. (2024). How to build progressive public services with data science and artificial intelligence. The Political Quarterly, 95(4), 653–662. 10.1111/1467-923X.13448
- McKinsey & Company. (2023, December 7). Unlocking the potential of generative AI: Three key questions for government agencies.
https://www.mckinsey.com/industries/public-sector/our-insights/unlocking-the-potential-of-generative-ai-three-key-questions-for-government-agencies - Mellouli, S., Janssen, M., & Ojo, A. (2024). Introduction to the issue on artificial intelligence in the public sector: risks and benefits of AI for governments. Digital Government: Research and Practice, 5(1), 1–6. 10.1145/3636550
- Mergel, I., Dickinson, H., Stenvall, J., & Gasco, M. (2024). Implementing AI in the public sector. Public Management Review, 1–14. 10.1080/14719037.2023.2231950
- Mikhaylov, S. J., Esteve, M., & Campion, A. (2018). Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration. Philosophical transactions of the royal society a: mathematical, physical and engineering sciences, 376(2128),
20170357 . 10.1098/rsta.2017.0357 - Nanthagopan, Y. (2021). Review and comparison of multi-method and mixed method application in research studies. Journal of Advanced Research, 2(3), 55–78.
- Neumann, O., Guirguis, K., & Steiner, R. (2024). Exploring artificial intelligence adoption in public organizations: a comparative case study. Public Management Review, 26(1), 114–141. 10.1080/14719037.2022.2048685
- Newman, J., Cherney, A., & Head, B. W. (2016). Do policy makers use academic research? Reexamining the “two communities” theory of research utilization. Public administration review, 76(1), 24–32. 10.1111/puar.12464
- Paré, G., Cameron, A. F., Poba-Nzaou, P., & Templier, M. (2013). A systematic assessment of rigor in information systems ranking-type Delphi studies. Information & management, 50(5), 207–217. 10.1016/j.im.2013.03.003
- Qadir, J. (2023, May). Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education. In 2023 IEEE global engineering education conference (EDUCON) (1–9).
IEEE . 10.1109/EDUCON54358.2023.10125121 - Reardon, C. M., Damschroder, L. J., Ashcraft, L. E., Kerins, C., Bachrach, R. L., Nevedal, A. L., … & Rogal, S. (2025). The Consolidated Framework for Implementation Research (CFIR) User Guide: a five-step guide for conducting implementation research using the framework. Implementation Science, 20(1),
39 . 10.1186/s13012-025-01450-7 - Salah, M., Abdelfattah, F., & Al Halbusi, H. (2024). The good, the bad, and the GPT: Reviewing the impact of generative artificial intelligence on psychology. Current Opinion in Psychology,
101872 . 10.1016/j.copsyc.2024.101872 - Schedler, K., & Summermatter, L. (2005). 3. Bericht zum Stand von E-Government in der Schweiz: Teil Kantone. IDT-HSG.
- Schmidt, R. C. (1997). Managing Delphi surveys using nonparametric statistical techniques. Decision Sciences, 28(3), 763–774. 10.1111/j.1540-5915.1997.tb01330.x
- Scupola, A., & Zanfei, A. (2016). Governance and innovation in public sector services: The case of the digital library. Government Information Quarterly, 33(2), 237–249. 10.1016/j.giq.2016.04.005
- Seawright, J., & Gerring, J. (2008). Case selection techniques in case study research: A menu of qualitative and quantitative options. Political research quarterly, 61(2), 294–308. 10.1177/1065912907313077
- Selten, F., & Klievink, B. (2024). Organizing public sector AI adoption: Navigating between separation and integration. Government Information Quarterly, 41(1),
101885 . 10.1016/j.giq.2023.101885 - Simon, H. A. (1995). Artificial intelligence: an empirical science. Artificial intelligence, 77(1), 95–127. 10.1016/0004-3702(95)00039-H
- Sun, T. Q., & Medaglia, R. (2019). Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare. Government information quarterly, 36(2), 368–383. 10.1016/j.giq.2018.09.008
- Taeihagh, A. (2025). Governance of generative AI. Policy and society, 44(1), 1–22. 10.1093/polsoc/puaf001
- Von Der Gracht, H. A. (2012). Consensus measurement in Delphi studies: review and implications for future quality assurance. Technological forecasting and social change, 79(8), 1525–1536. 10.1016/j.techfore.2012.04.013
- Wang, C., Teo, T. S., & Janssen, M. (2021). Public and private value creation using artificial intelligence: An empirical study of AI voice robot users in Chinese public sector. International Journal of Information Management, 61,
102401 . 10.1016/j.ijinfomgt.2021.102401 - Wang, J., Kiran, E., Aurora, S. R., Simeone, M., & Lobo, J. (2025). ChatGPT on ChatGPT: An exploratory analysis of its performance in the public sector workplace. Digital Government: Research and Practice, 6(2), 1–28. 10.1145/3676281
- Wirtz, B. W., Langer, P. F., & Fenner, C. (2021). Artificial intelligence in the public sector-a research agenda. International Journal of Public Administration, 44(13), 1103–1128. 10.1080/01900692.2021.1947319
- Wirtz, B. W., & Müller, W. M. (2019). An integrated artificial intelligence framework for public management. Public Management Review, 21(7), 1076–1100. 10.1080/14719037.2018.1549268
- Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2019). Artificial intelligence and the public sector – applications and challenges. International Journal of Public Administration, 42(7), 596–615. 10.1080/01900692.2018.1498103
- Xu, Y., Liu, X., Cao, X., Huang, C., Liu, E., Qian, S., … & Zhang, J. (2021). Artificial intelligence: A powerful paradigm for scientific research. The Innovation, 2(4). 10.1016/j.xinn.2021.100179
- Yigitcanlar, T., David, A., Li, W., Fookes, C., Bibri, S. E., & Ye, X. (2024). Unlocking artificial intelligence adoption in local governments: best practice lessons from real-world implementations. Smart Cities, 7(4), 1576–1625. 10.3390/smartcities7040064
- Zhang, P., & Kamel Boulos, M. N. (2023). Generative AI in medicine and healthcare: promises, opportunities and challenges. Future Internet, 15(9),
286 . 10.3390/fi15090286 - 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, 38(3). 10.1016/j.giq.2021.101577