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 Article

E‑government Information Application: Identifying Smuggling Vessels with Data mining Technology  pp47-58

Chih-Hao Wena, Ping-Yu Hsu, Chung-Yung Wang, Tai-Long Wuc, Ming-Jia Hsu

© Oct 2012 Volume 10 Issue 1, Editor: Frank Bannister, pp1 - 94

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In spite of the gradual increase in the number of academic studies on smuggling crime, focus is seldom placed on the application of data mining to crime prevention. This study provides deeper understanding and exploration of the benefits of information technology for the identification of smuggling crime. This study focuses on smuggling of vessels. The data source is the complete record of fishing vessels leaving and returning to ports in the Taiwan region. This paper essay applies both artificial neural networks (ANN) and logistics regression (LR) to classify and predict criminal behaviors in smuggling. At the same time, it shows the difference between ANN and human inspection (HI), also the difference between LR and HI. This study establishes models for vessels of different tonnage and operation purposes that can provide law enforcers with clearer judgment criteria. It is needed to construct different models for vessels to achieve the actual cases in the reality since smugglers will use different kinds of ship for different smuggling purposes. The study results show that the application of artificial neural networks to smuggling fishing vessels attains an average precision of 76.3%, and the application of logistic regression to smuggling fishing vessels can achieve an average precision of 60.5%, both of which are of significantly higher efficiency levels compared with the current human inspection (HI) method. This study suggests the value of using an artificial neural networks model to obtain good identification performance for different vessel types as well as average savings of 90.47% on the manpower loading. Information technology can greatly help to increase the probability of seizing smuggling fishing vessels. Nowadays, public administration information is saved electronically however is not employed well. In fact, it can increase the administrative efficiency by proper use of electronic data. In this study, for example, we expect better use of the data stored in the database to establish an identifying model of smuggling. Applying the automatic identification mechanism, it is useful to reduce the probability of smuggling crime.


Keywords: government information application, Crime data mining, smuggling predictions, artificial neural networks, logistic regression.


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Journal Article

Citizen‑centric Perspective on the Adoption of E‑Government in the Philippines  pp63-83

Aldwin Uy Urbina, Naoya Abe

© Mar 2017 Volume 15 Issue 2, Editor: Carl Erik Moe, pp57 - 154

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Information and communications technologies (ICTs) and the Internet are widely used as strategic means to improve the efficiency and effectiveness of governments and the accessibility of government information and services to citizens. In the Philippines, the government has prepared elaborate plans to enhance implementation of e‑government in the country. Thus, it is only fitting to investigate the state of the adoption of e‑government in the country not only to monitor progress of its implementation but to further improve access of citizens to government information and services. However, due to the inherent disparities in socio‑demography, access to ICTs, Internet use as well as in the patterns of Internet use, and awareness of available e‑government services in developing countries such as the Philippines, the adoption of e‑government by citizens in the country is faced with major challenges (e.g., inequitable access to information and government services, widening of the gap between advantaged and disadvantaged groups). In order to uncover the state of adoption and citizens’ perception of e‑government in the Philippines, this study analyzed primary data collected through a national‑scale survey conducted as a result of collaboration with a private social research institution based in the Philippines. Descriptive and inferential statistics were employed to describe the state of adoption of e‑government in the Philippines and examine the effects of socio‑demographic factors; access to ICTs and the Internet; and attitudes toward e‑government on the awareness and adoption of e‑government in the country. The study further validates the findings of other empirical studies on e‑government adoption found in literature.


Keywords: online public services, digital divide, logistic regression analysis


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Journal Issue

Volume 15 Issue 2 / Mar 2017  pp57‑154

Editor: Carl Erik Moe

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Chief Editor

carl erik moe Dr Carl Erik Moe  is a Professor of Information Systems at the University of Agder, Norway. After serving as Head of Department (HOD) for a number of years, he is back to research and teaching. As HOD he took a leading role developing graduate programs in both Information Systems and Health Informatics, and PhD program in Information Systems as well as promoting and generating research collaboration with local government and industry.

Carl Erik has served as Program Chair of IFIP EGOV 2012. He is an active reviewer for several academic journals. He was one of the founding members of the Scandinavian Workshop on e‑Government, of which he is still very much involved and he has served as leader of the Norwegian Council for Information Science.

Carl Erik’s current research interests include e‑Government covering issues such as Procurement of IS and Policies and Strategies for Digital Government including Open Government and ICT4D, and it includes e‑Health covering issues such as IS in Social Work, Telecare and Information Systems in Integrated Care.

Carl Erik served as Associate Editor on EJEG for several years before taking over as Editor. He welcomes both empirical and conceptual work and case studies with practical implications, and he encourages work on emerging topics and open and smart government. His ambition is to keep up the good academic quality of the journal at the same time as encouraging work in progress and establishing a case section in the journal.


Keywords: online public services, digital divide, logistic regression analysis, Enterprise Architecture, Public Sector, Systematic Literature Review, Government Enterprise Architecture, Technology Acceptance, e-procurement, survey, private firms, Belgium, Social Sensors, Open Governance, Crowdsourcing, e-participation, Trust, Information Quality, Organizational performance, E-government, Qualitative research, Kuwait, Arab World


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