The Electronic Journal of e-Government publishes perspectives on topics relevant to the study, implementation and management of e-Government

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Journal Issue
Volume 8 Issue 2, ECEG Conference Issue / Dec 2010  pp83‑235

Editor: Frank Bannister

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Guiding Integrated Service Delivery: Synthesizing and Embedding Principles Using Role‑Playing Games  pp83‑92

Nitesh Bharosa, Marijn Janssen, Bram Klievink, Anne-Fleur van Veenstra, Sietse Overbeek

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Trustworthy Communication Channels for the Electronic Safe  pp93‑103

Christian Breitenstrom, Martin Unger, Andreas Penski

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Segmentation of the PAYE Anytime Users  pp104‑119

Jessica Clancy, Giuseppe Manai, Duncan Cleary

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A new Usage for Semantic Technologies for eGovernment: Checking Official Documents Consistency  pp120‑133

Fred Freitas, Zacharias Candeias Jr, Heiner Stuckenschmidt

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Government as Part of the Revolution: Using Social Media to Achieve Public Goals  pp134‑146

David Landsbergen

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Towards a Framework for eGovernment Development in Nigeria  pp147‑160

Darren Mundy, Bandi Musa

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The Link between the Conceptualization of eGovernment and its Perceived Impacts: an Exploratory Empirical Study in Kenya  pp161‑174

Nixon Ochara-Muganda, Jean-Paul Van Belle

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Exploring Issues Underlying Citizen Adoption of eGovernment Initiatives in Developing Countries: The Case of Tanzania  pp175‑187

Jim Yonazi, Henk Sol, Albert Boonstra

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Design Principles of Identity Management Architecture Development for Cross‑Border eGovernment Services  pp188‑201

Kamelia Stefanova, Dorina Kabakchieva, Roumen Nikolov

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Public Opinion Mining for Governmental Decisions  pp202‑213

George Stylios, Dimitris Christodoulakis, Jeries Besharat, Maria-Alexandra Vonitsanou, Ioanis Kotrotsos, Athanasia Koumpouri, Sofia Stamou

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eGovernment refers to the use of information and communications technologies (ICTs) to improve the quality of services and information offered to citizens, to make government more accountable to citizens and advance public sector transparency. As already pointed out by other researchers, one of the most important issues for making eGovernment effective is to enable citizens to participate in the decision‑making process. Nowadays, topics related to governmental decisions are among the most widely discussed ones within digital societies. This is not only because web 2.0 has empowered people with the ability to communicate remotely but also because governments all around the globe publish a great volume of their decisions and regulations online. In this paper, we propose the exploration of text and data mining techniques towards capturing the public’s opinion communicated online and concerning governmental decisions. The objective of our study is twofold and focuses on understanding the citizen opinions about eGovernment issues and on the exploitation of these opinions in subsequent governmental actions. We examine several features in the user‑generated content discussing governmental decisions in an attempt to automatically extract the citizen opinions from online posts dealing with public sector regulations and thereafter be able to organize the extracted opinions into polarized clusters. Our goal is to be able to automatically identify the public’s stance against governmental decisions and thus be able to infer how the citizens’ viewpoints may affect subsequent government actions. To demonstrate the usability and added value of our proposed approach we have designed an interactive eGovernment infrastructure, the architecture of which we will present and discuss in our paper. Moreover, we will elaborate on the system details, its adaptation capacity and we will discuss its usage benefits for both citizens and public sector bodies. 


Keywords: opinion mining, opinion classification, knowledge extraction, linguistic analysis


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Migration Strategies for Multi‑Channel Service Provisioning in Public Agencies  pp214‑225

Anne Fleur van Veenstra, Marijn Janssen

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Measuring for Knowledge: A Data‑Driven Research Approach for eGovernment  pp226‑235

Pieter Verdegem, Jeroen Stragier, Gino Verleye

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