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I-WAYS - The Journal of E-Government Policy and Regulation archive | 2009

Service Quality between e-Government Users and Administrators

Yu-Hsieh Sung; Su-Houn Liu; Hsiu-Li Liao; Ching-Min Liu

After Taiwan governments implement it’s egovernment portal (MyeGov, www.gov.tw) in 2002 as a means of delivering better information services and resources, building quality service that encourage citizen uptake is becoming an increasing challenge. This paper addresses this issue and examines the quality divide cause by the cognitive difference between users and administrators of the egovernment portal. To understand what governments need to do to secure successful implementation of comprehensive government service that are relevant to citizens, the services quality of e-government portals are scrutinized through a survey on both its users and administrators. The investigation instrument is based on the conceptual model of service quality proposed by Parasuraman, Zeithaml and Berry. The research finds that the user’s intention of re-use the e-Government portal is highly associated with their service quality factors. The research also provides insights for government officials and practitioners to understand and improve e-Government practice by identify major cognitive difference between e-government portal’s users and its administrators that cause the low usage rate of the e-government portal.


Expert Systems With Applications | 2011

Development of a Patent Retrieval and Analysis Platform - A hybrid approach

Su-Houn Liu; Hsiu-Li Liao; Shih-Ming Pi; Jing-Wen Hu

Research highlights? In this study, we have developed a patent retrieval system call ARAP. ? ARAP integrated bibliographic coupling with text mining to enhance patent retrieval. ? To test its effectiveness, a series of tests was conducted with various settings. ? On best combination, it had reduced the no. of patent recommended to more than 90%. ? The results show that hybrid approach helps to reduce the effort of patent retrieval. In order to process large numbers of explicit knowledge documents such as patents in an organized manner, automatic document categorization and search are required. In this paper, we develop an intelligent retrieval system for patent analysis that helps companies manage patent documents more effectively. By composing both bibliographic coupling and text mining approaches, this paper proposes a hybrid structure for higher search accuracy. An experimental prototype called PRAP (Patent Retrieval and Analysis Platform) was developed. Testing indicates that the PRAP has significantly increased the accuracy of patent retrieval compared to traditional patent search methods. We believed that our works have provided a feasible architecture for an intelligent patent retrieval system.


international conference on intelligent computing | 2011

The Effect of Product Placement Marketing on Effectiveness of Internet Advertising

Hsiu-Li Liao; Su-Houn Liu; Shih-Ming Pi; Hui-Ju Chen

Compared to the traditional way of doing advertising, such as ad Banners, internet product placement is now emerging as a promising strategy for advertisers to do their job effectively in this Web 2.0 era. Therefore, this study focuses on the effectiveness of product placement advertising on the Internet. The results show that product prominence (Subtle or Prominent) and presentation of the advertising (Video or Images) significantly impacts the effectiveness of product placement advertising on the Internet, including brand impression, advertising attitude, and intention to click. Product prominence and presentation of the advertisement have an interactive impact. Our findings indicated that presenting the product through videos will enhance higher levels of advertising attitude, brand impression, and intention to click than presenting it through still images. Subtle placements will increase the level of advertising attitude and intention to click more so than prominent placements. But prominent placements increase the brand impression more than the subtle placements.


international conference on intelligent computing | 2011

Framework for Classifying Website Content Based on Folksonomy in Social Bookmarking

Shih-Ming Pi; Hsiu-Li Liao; Su-Houn Liu; Chen-Wen Lin

Automated document classification approaches are divided into two major groups. The first is the group of keyword-based classification methods; these are frequently associated with unclear meanings of keywords and other issues. The second group is based on semantic analysis. Various academicians have constructed ontologies to solve semantic problems. However, ontology depends on expert knowledge of the problem domain, and the process of constructing knowledge depends on the participation of knowledge engineers. Folk classification (Folksonomy) is associated with Web2.0. Since Folksonomy is keyword-based, it still is associated with a semantic problem. This study presents an improved weighting mechanism to solve the semantic problems and the problematic effects of poor classification. The results of this study indicate that the Folksonomy-related weight classification mechanism can effectively reduce the number of classification results by more than 30% significantly improved the quality of tagging, and increased user satisfaction.


Computers in Education | 2009

Impact of media richness and flow on e-learning technology acceptance

Su-Houn Liu; Hsiu-Li Liao; Jean A. Pratt


Social Behavior and Personality | 2011

Modeling motivations for blogging: An expectancy theory analysis

Hsiu-Li Liao; Su-Houn Liu; Shih-Ming Pi


Archive | 2011

Factors influencing the behavior of online group-buying in Taiwan

Shih-Ming Pi; Hsiu-Li Liao; Su-Houn Liu; I-Shan Lee


Archive | 2011

Talk to me: A preliminary study of the effect of interaction with a spokes-character

Hsiu-Li Liao; Su-Houn Liu; Shih-Ming Pi; Yu-Chun Liu


Social Behavior and Personality | 2010

The effects of user perception of value on use of blog services

Shih-Ming Pi; Hsiu-Li Liao; Su-Houn Liu; Chia-Yu Hsieh


international conference on web based learning | 2010

Factors affecting lifelong learners' intention to continue using e-learning website: an empirical study

Hsiu-Li Liao; Su-Houn Liu; Shih-Ming Pi; You-Jie Chou

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Hsiu-Li Liao

Chung Yuan Christian University

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Shih-Ming Pi

Chung Yuan Christian University

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Chen-Wen Lin

Chung Yuan Christian University

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Ching-Min Liu

Chung Yuan Christian University

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Han-Ting Chen

Chung Yuan Christian University

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Hui-Ju Chen

Chung Yuan Christian University

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Jing-Wen Hu

Chung Yuan Christian University

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Shia-Chung Chen

Chung Yuan Christian University

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Shih-Ming Wang

Chung Yuan Christian University

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Wen-Ren Jong

Chung Yuan Christian University

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