Information overload is becoming one of the problems that hinder the effectiveness of e-government services. Intelligent e-government services with personalized recommendation techniques can provide a solution for this problem. Existing recommendation approaches have not entirely considered the influences of attributes of various online services and may result in no guarantee of recommendation accuracy. This study proposes a new approach to handle recommendation issues of one-and-only items in e-government services. The proposed approach integrates the techniques of semantic similarity and the traditional item-based collaborative filtering. A recommender system named Smart Trade Exhibition Finder has been developed to implement the proposed recommendation approach. The recommender system can be applied in e-government services to improve the quality of government-to-business online services.
Electronic government (e-government) breaks down the barrier of distance and time, and offers the potential for government to better deliver its contents and services, and interact with citizens and businesses. Australia has been recognized as one of e-government leaders internationally. All the three levels (federal, state and local) of Australian government organizations have increasingly embraced e-government. With few years of e-government practices in Australia, it is critical to evaluate the current applications and explore more effective strategies for the next phase of e-government. This study aims to identify what factors affect the effectiveness of Australian e-government online services. In the study, a research model is proposed and data collections are completed based on two questionnaire-based surveys from internal and external users of Australian e-government Web sites respectively. Furthermore, data analyses are conducted to test proposed hypotheses. The findings show that Web presence quality and information quality influence effectiveness of e-government online services more than system quality from user perspectives. Several recommendations and future trends are also presented in the chapter.
Electronic government (e-government) breaks down the barrier of distance and time, and offers the potential for government to better deliver its contents and services, and interact with citizens and businesses. Australia has been recognized as one of e-government leaders internationally. All the three levels (federal, state and local) of Australian government organizations have increasingly embraced e-government. With few years of e-government practices in Australia, it is critical to evaluate the current applications and explore more effective strategies for the next phase of e-government. This study aims to identify what factors affect the effectiveness of Australian e-government online services. In the study, a research model is proposed and data collections are completed based on two questionnaire-based surveys from internal and external users of Australian e-government Web sites respectively. Furthermore, data analyses are conducted to test proposed hypotheses. The findings show that Web presence quality and information quality influence effectiveness of e-government online services more than system quality from user perspectives. Several recommendations and future trends are also presented in the chapter.
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