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Titlebook: Electronic Government; 22nd IFIP WG 8.5 Int Ida Lindgren,Csaba Csáki,Anneke Zuiderwijk Conference proceedings 2023 IFIP International Feder

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樓主: 熱情美女
21#
發(fā)表于 2025-3-25 05:34:51 | 只看該作者
Construct Hunting in GovTech Research: An Exploratory Data Analysiss service towards the citizen, while the private for-profit sector is responsible for innovation, development, and profitable maintenance of the GovTech services, hence making the whole area of solutions seemingly desirable to invest in..However, the current literature on stakeholder views of the Go
22#
發(fā)表于 2025-3-25 08:21:01 | 只看該作者
Harmonization in eProcurement: Design of a Holistic Solution Model for Pre-award Proceduresramework (EIF) to be ensured. The high number of distinct actors and different legal frameworks involved hampers efficiency and interoperability of procedures. This problem situation is even more critical during the pre-award phase of procurement, which has so far received less attention from resear
23#
發(fā)表于 2025-3-25 12:12:29 | 只看該作者
Government as a Platform in Practice: Commonalities and Differences Across Three European Countriesevelopment. However, there is scant empirical evidence on how to properly implement GaaP in practice. In particular, most of the literature focusses on the adoption in individual countries. We address this gap by investigating and systematically comparing three countries with successful GaaP impleme
24#
發(fā)表于 2025-3-25 18:53:17 | 只看該作者
The Self-serving Citizen as a Co-producer in the Digital Public Service Deliveryvices. From the policy perspective, users can benefit from better service access, process efficiency and opportunities for citizens to co-produce their public services. These opportunities are accompanied by increasing responsibilities for citizens that are expected to serve themselves to a higher e
25#
發(fā)表于 2025-3-25 22:50:18 | 只看該作者
The Digital Cage Dilemma – How Street-Level Bureaucrats at Public Libraries are a Key for Digital Inwith e.g. public e-services. As street-level bureaucrats, library staff can support citizens’ digital inclusion within the scope of their assignment and institutional framework. However, they face dilemmas when they encounter citizens with needs that fall partly outside this framework..According to
26#
發(fā)表于 2025-3-26 03:48:32 | 只看該作者
Untangling the Relationship Between Public Service Automation and No-Stop Governmentinitions point to different meanings, some scholars equate the terms and use them interchangeably. Since a clear shared understanding is crucial for scholars to produce reliable research, this conceptual paper aims to shed light on the two terms and support conceptual clarity. We investigate the mea
27#
發(fā)表于 2025-3-26 04:23:15 | 只看該作者
ChatGPT Application vis-a-vis Open Government Data (OGD): Capabilities, Public Values, Issues and a t also for the public sector-case in point being the Open Government Data (OGD) initiative. However, though there has been some limited (as this topic is quite new) research concerning the capabilities ChatGPT in these sectors, there has been no research about the capabilities it can provide to gove
28#
發(fā)表于 2025-3-26 08:42:18 | 只看該作者
The Human Likeness of Government Chatbots – An Empirical Study from Norwegian Municipalitiesmake sure that this technology is not confused with human support. However, there is a knowledge gap concerning whether and how government chatbots indeed represent a risk of such confusion, in spite of their resemblance with human conversation. To address this gap, we have conducted a study of a No
29#
發(fā)表于 2025-3-26 16:13:26 | 只看該作者
Automatic Bill Recommendation for?Statehouse Journalistsn the United States. The project aims to capture the most important information that occurred in a bill discussion to allow reporters to quickly decide if they want to pursue a story on the subject. In this paper, we present, discuss and evaluate a module for the tip sheets that is designed to recom
30#
發(fā)表于 2025-3-26 17:47:44 | 只看該作者
Assessing Forgetfulness in?Data Stream Learning – The Case of?Hoeffding AnyTime Tree Algorithm Forgotten’. There are many divergences on what type of data must be considered in this matter. If some governmental policy interprets that some data collected in a given domain is property of an individual, and this individual has the right to request forgetfulness of this data portion, this data m
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