Transforming E-government and E-participation through IT.

IEEE Intelligent Systems 01/2009; 24:14-19. DOI: 10.1109/MIS.2009.103
Source: DBLP

ABSTRACT E-government and e-participation research aims to provide the technologies and tools for more efficient public- administration systems and more participatory decision processes.

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    ABSTRACT: This paper presents the results of a literature review in regard to Social Media and participation. Besides that, to understand the meaning and impact of Social Media on elections, we show field results from the 2010 and 2011 elections in the Netherlands. There are several challenges when it comes to engaging people in party politics. The current findings in literature show us that previous efforts to shape public participation with prior Internet tools did not meet expectations. With Social Media this could change, because participation seems to be the key concept that explains the difference between ‘old’ web and ‘new’ Social Media. In the Netherlands, Social Media did not significantly influence voting behaviour during the local elections (2010/2011). But, during the national elections (2010), politicians with higher Social Media engagement got relatively more votes within most political parties. In conclusion, we propose a future research agenda to study how political parties could benefit from Social Media to reinvent and improve the way they work with their members and volunteers.
    Electronic Participation - Third IFIP WG 8.5 International Conference, ePart 2011, Delft, The Netherlands, August 29 - September 1, 2011. Proceedings; 01/2011
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    ABSTRACT: E-government information quality model is proposed. The model suggests that there are five groups of information quality dimensions that should be considered when assessing the quality of information provided by e-government for citizens. These five groups of information quality dimensions are: Availability, Objectivity, Utility, Integrity, and Confidentiality. Nineteen Thai ministry websites were surveyed based on the proposed e-government information quality model. It was found that the availability and confidentiality of information seem to get lower attention from Thai ministries, this might make citizens feel less confident in e-government. Keywordse-Government–Information quality–Information Quality dimension
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    ABSTRACT: Researchers in the discipline of electronic government e-Government have historically presented several factors impeding the adoption and implementation of these systems. This paper is uniquely aimed at investigating the factors inhibiting e-Government adoption in a developing country-Pakistan. The literature indicates that the move towards integrated service provision and transactional e-Government is considered as an immense challenge for developing countries as compared to developed regions. Moreover, the progress towards realising the full potential of e-Government using digital technologies to improve public services and government-citizen engagements has been slower and less effective in the developing countries. Pakistan, over many years, has experienced similar lethargic e-Government growth due to economic and political instability, poor governance and deteriorating government institutions. Thus, the ever increasingly weakening state of government structures in Pakistan calls for the need to deliver end-to-end 'joined-up' public services to key stakeholders i.e. citizens, businesses, government employees and other government agencies. The contribution of this research is twofold-firstly, identifying factors inhibiting e-Government adoption in Pakistan-here the focus is to identify the significant problems of meeting demands which are attributed to several issues within organisational, strategic, technological, political, operational, stakeholders and social structures. Secondly, the authors propose an achievable approach to enacting e-Government enabled delivery of services. The conceptual findings, as noted, are validated through qualitative based research in the context of Pakistan government organisations.
    Journal of Global Information Management 10/2013; 21(4):77-102. · 0.51 Impact Factor


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