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Ali Asker Gündüz
Title
Prof. Dr.
Last Name
Gündüz
First name
Ali Asker
Email
aliasker.guenduez@unisg.ch
ORCID
Phone
+41 71 224 2852
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1 - 8 of 8
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PublicationThe role of trust in the adoption of cooperative arrangement types in e-credentials marketsThe 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.Type: journal articleJournal: Information PolityVolume: 28
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PublicationTechnological frames in public administration: What do public managers think of big data?Being among the largest creators and gatherers of data in many countries, public administrations are looking for ways to harness big data technology. However, the de facto uses of big data in the public sector remain very limited. Despite numerous studies aiming to clarify the term big data, for many public managers, it remains unclear what this technology does and does not offer public administration. Using the concept of technological frames, we explore the assumptions, expectations, and understandings that public managers possess in order to interpret and make sense of big data. We identify nine big data frames, ranging from inward-oriented techno-enthusiasts to outward-oriented techno-skeptics, each of which characterizes public managers' specific viewpoints relating to the introduction of big data in public administrations. Our findings highlight inconsistencies between different perceptions and reveal widespread skepticism among public managers, helping better understand why the de facto uses of big data in the public sector remain very limited.Type: journal articleJournal: Government Information QuarterlyVolume: 37Issue: 1
Scopus© Citations 55 -
PublicationType: journal article
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PublicationType: journal articleJournal: HMD : Praxis der WirtschaftsinformatikVolume: 54Issue: 4
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PublicationType: conference paper
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PublicationCitizen Participation in Smart Government: A Conceptual Model and two IoT Case Studies(Springer, 2020-03-07)
;Gil-Garcia, J. ;Pardo, T.Gasco-Hernandez, M.Type: book sectionVolume: Public Administration and Information TechnologyIssue: 30 -
PublicationStrategically constructed narratives on artificial intelligence: What stories are told in governmental artificial intelligence policies?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.Journal: Government Information QuarterlyVolume: 40Issue: 1
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PublicationPublic Managers in the Face of Big Data: Panic or Panacea?There is no doubt that we have arrived in the era of big data, or as Peter Sondergaard from Gartner would say: “Information is the oil of the 21st century, and analytics is the combustion engine.” By nature, governments are a particularly mighty ‘oil producer’, given that they are often among the largest creators and gatherers of data in many countries. But what about their combustion engine? Do they actively harness and analyze the collected data to improve their governance and operations?Type: newspaper articleJournal: ESADE Public