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Titlebook: Electronic Government and the Information Systems Perspective; First International Kim Normann Andersen,Enrico Francesconi,Tom M. Eng Conf

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樓主: 哄笑
11#
發(fā)表于 2025-3-23 10:29:42 | 只看該作者
Facilitating E-Government Services through SDIs, an Application for Water Abstractions Authorizationrelated permits are among the least developed kind of e-government services in Europe. Environmental management and government requires the use of geographic information and spatial data infrastructures (SDIs) are being providing the framework for optimizing its management, and they are becoming a l
12#
發(fā)表于 2025-3-23 17:51:34 | 只看該作者
13#
發(fā)表于 2025-3-23 20:47:32 | 只看該作者
14#
發(fā)表于 2025-3-24 01:06:55 | 只看該作者
Transforming the Greek e-Government Environment towards the e-Gov 2.0 Eraap forward, which is the adaptation of Web 2.0 technologies. This transition towards e-Government 2.0 will not only improve participation, transparency and integration but it will also speed up the pace of innovation through collaboration and consultation. This paper presents an enhanced Greek e-Gov
15#
發(fā)表于 2025-3-24 03:50:28 | 只看該作者
16#
發(fā)表于 2025-3-24 09:34:29 | 只看該作者
17#
發(fā)表于 2025-3-24 11:55:06 | 只看該作者
Policy Incentives for Innovation Diffusion: An Agent-Based Simulationallenges having to do with the design and implementation of effective policies, which requires a deep understanding of diffusion processes..This paper presents an agent-based decision support tool for policy makers, providing useful insights in the design of incentive policies aimed at maximizing th
18#
發(fā)表于 2025-3-24 18:12:51 | 只看該作者
E-Government Services Using Customer Index Knowledgeed service production and delivery by the public sectors. On this account, most public sectors thus far have made little progress in making themselves more customer-friendly, when compared with private sectors. The business environment surrounding public sectors has been rapidly changing, such as pr
19#
發(fā)表于 2025-3-24 19:05:16 | 只看該作者
20#
發(fā)表于 2025-3-25 00:18:34 | 只看該作者
A Fuzzy Recommender System for eElectionscisions by providing information about candidates close to the voters preferences and tendencies. The use of recommender systems for eGovernment is a research topic used to reduce information overload, which could help to improve democratic processes.
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