Smart Government Lab
Type
applied research project
Start Date
01 January 2017
End Date
31 December 2019
Status
ongoing
Leader contributor(s)
Member contributor(s)
Frischknecht, Ruth
Partner(s)
Stadt St. Gallen
PwC Schweiz
Funder(s)
Method(s)
Szenariotechnik
Expertenpanel
Range
HSG + Partners
Range (De)
HSG + Partner
Division(s)
Eprints ID
247354

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Regierung wird digital

2020-05-28 , Schedler, Kuno

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Trendradar 2022. Handlungsansätzefür den öffentlichen Sektor

2022 , Singler, Sebastian , Gündüz, Ali Asker , Kühne, Antonia , Douillet, Christopher , Roth, Philipp , Schedler, Kuno , Fuchs, Saskia

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Making cities smarter: Which work practices are need to drive smart city transformation?

2021 , Guenduez, Ali A. , Mergel, Ines , Schedler, Kuno

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Von Electronic Government und Smart Government

2018-05-07 , Schedler, Kuno

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Anwendung von Chatbots in der kantonalen Verwaltung: Wirkungsanalyse

2021-12-31 , Guenduez, Ali Asker , Schedler, Kuno , Britschgi, Nadja , Brühwiler, Yannik , Fuchs, Saskia , Walker, Nora , Müller, Elena , Douillet, Christopher

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Strategically constructed narratives on artificial intelligence: What stories are told in governmental artificial intelligence policies?

2023 , Guenduez, Ali Asker , Mettler, Tobias

What stories are told in national artificial intelligence (AI) policies? Combining the novel technique of structural topic modeling (STM) and qualitative narrative analysis, this paper examines the policy narratives in 33 countries’ AI policies. We uncover six common narratives that are dominating the political agenda concerning AI. Our findings show that the policy narratives' saliences vary across time and countries. We make several contributions. First, our narratives describe well-grounded, supportable conceptions of AI among governments, and show that AI is still a fairly novel, multilayered, and controversial phenomenon. Building on the premise that human sensemaking is best represented and supported by narration, we address the applied rhetoric of governments to either minimize the risks or exalt the opportunities of AI. Second, we uncover the four prominent roles governments seek to take concerning AI implementation: enabler, leader, regulator, and/or user. Third, we make a methodological contribution toward data-driven, computationally-intensive theory development. Our methodological approach and the identified narratives present key starting points for further research.

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Smart Government Akademie Bodensee, Jahresbericht 2021/2022

2022-12 , Guenduez, Ali Asker , Schedler, Kuno

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The role of trust in the adoption of cooperative arrangement types in e-credentials markets

2023 , Guenduez, Ali Asker , Mettler, Tobias , Schedler, Kuno

The interest in digital identities has increased considerably in academia and practice in recent years. This can be seen by the many electronic identity projects worldwide and the numerous published studies that provide insightful narratives and descriptive case findings about success factors and barriers to the adoption of national authentication infrastructures. In this paper, we take a closer look to the role of trust on the design and implementation of a nation-wide e-credential market. We argue that trust in political and economic institutions can be an important factor to explain differences in the chosen cooperative arrangement which can range from monopolistic, purely state-controlled e-credential markets, to polypolistic, decentralized e-credential markets where also private vendors offer state recognized e-ID on their own or in partnership with the government. Following an inductive reasoning process, we develop three testable propositions which may inspire further empirical research and offer practitioners a new angle to rethink e-credential markets in the light of citizen trust in political and economic institutions.

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Jahresbericht 2020 Smart Government Akademie Bodensee

, Guenduez, Ali Asker , Schedler, Kuno

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Making cities smarter: Fähigkeiten für eine erfolgreiche Transformation

2021 , Guenduez, Ali A. , Mergel, Ines

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