Now showing 1 - 10 of 19
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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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Smart Government – Partizipation und Empowerment der Bürger im Zeitalter von Big Data und personalisierter Algorithmen

2017-08 , Gündüz, Ali Asker , Mettler, Tobias , 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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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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How smart can government be? Exploring barriers to the adoption of smart government

2019 , Schedler, Kuno , Guenduez, Ali A. , Frischknecht, Ruth

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Pantoffeltierchen-Politik dank Echtzeit-Information

2017-04-01 , Schedler, Kuno , Guenduez, Ali A.

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Digital Government

2022-08 , Guenduez, Ali Asker , Schedler, Kuno

Digital government comprises several initiatives and strategies for modernizing public administration in recent decades, all of which aim to exploit the potentials of new and innovative technologies, methods and approaches. There is very strong interest from both practitioners and academics, which has given rise to a wide range of terms and concepts. This chapter outlines the development of digital government along the main governance paradigms and describes the drivers and the goals being pursued. It outlines the barriers to implementation as well as the success factors, and concludes with a brief outlook.

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Smart Government Success Factors

2018-12 , Guenduez, Ali A. , Singler, Sebastian , Tomczak, Tobias , Schedler, Kuno , Oberli, Moritz

Smart information and communication technologies are finding their way into public administration. Today, there are numerous initiatives in the public sector, promising a new model for the public services: smart government. In this article, we seek to identify success factors for smart government initiatives. We provide a selected review of the current literature on the motivations, goals, and processes behind smart government so as to provide a conceptual and analytical basis for the analysis. Based on desk research, interviews, and workshops, our qualitative analysis reveals institutional (political commitment, clear governance, legal agility, digital awareness, and IT infrastructure), organizational (structure and processes, capabilities, values, and human resources), and leadership/strategy success factors that must be considered when implementing smart government initiatives. We discuss our findings and conclude by emphasizing the limitations as well as implications for praxis and future research.

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How smart can government be? Discussing the barriers of smart government adoption

2017-08-17 , Schedler, Kuno , Guenduez, Ali A. , Frischknecht, Ruth

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Citizen Participation in Smart Government: A Conceptual Model and two IoT Case Studies

2020-03-07 , Guenduez, Ali A. , Mettler, Tobias , Schedler, Kuno , Gil-Garcia, J. , Pardo, T. , Gasco-Hernandez, M.