• Journal of the Korean Operations Research and Management Science Society
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• v.34 no.2
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• pp.15-34
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• 2009

Today the u-government services are becoming more personalized and intelligent. For the successful implementation of personalization, individual user's privacy concerns must be respected and taken care of. Based on the empirical survey results, this research summarizes the reluctance to the government's use of private information using six categories. We measure user's psychological distance toward e-government using the four levels, adopting the suggestions by the Proxemics. Since a positive correlation is Identified between people's psychological Intimacy toward e-government and their tolerance to the use of private Information, the amount and/or types of private information should be sequentially used in personalization systems. Initially allowing the least intolerable private information such as occupation information, the personalization system should additionally use the next tolerable Information such as health information or service request/interest information, as user's psychological distance toward government services becomes shorter.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.2
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• pp.177-184
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• 2009

The digital contents distribution system via network provides comfortability, usability, and diversified functions to content's users. However, for the characteristic of easy access of digital contents, the copyright infringements and indiscreet contents distribution are realized in this days. In other words, any users with the authentication key can access to copyright contents with any restrictions. To solve this problems, we proposed a user authentication mechanism which prevent indiscreet access to the digital content by using user system information. Also, to provide safe distribution of digital content, we used user's unique content authentication key.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.1
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• pp.23-35
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• 2017

With the popularization of mobile devices, the number of social network service users is increasing, thereby the amount of data is also increasing accordingly. As Internet of Things environment is expanding to connect things and people, there is information much more than before. In such an environment, it becomes very important to recommend the necessary information to the user. In this paper, we propose a recommendation method that considers new users in IoT environment. In the proposed method, we recommend the information by applying the centrality-based social network analysis method to the recommendation method using the social relationships in the social IoT. We describe the seven-step recommendation method and apply them to the music circle scenario of the IoT environment. Through the music circle scenario, we show that we can recommend more suitable information to new users in the IoT environment than the existing recommendation method.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.702-705
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• 2004

Collaborative filtering (CF) is originally based on the ratings of customers who vote on the items they used. When customers' votes are not available, user-item binary data set which represents choice and non-choice can also be used in this analysis. In this case the similarities between active user and the other users must be modified. Therefore we compare eight types of binary similarities by applying them in the modified CF Algorithm. Some experimental results will be reported.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.273-287
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• 2007

The mobile Internet (M-Internet) service is a form of subscription-based information Systems (IS) services in which usage continuance is essential for the eventual success of the service providers. However, previous research on IS continuance has focused mainly on the technology user aspects despite the fact that the user plays a dual role of being a technology user and service consumer in many IS usage contexts. This study thus aims to examine IS continuance based on the theoretical foundation of dedication-based and constraint-based customer relationship development in the context of M-Internet service. Four customer relationship development factors (satisfaction, perceived value, familiarity, and switching costs) are identified and tested on how they affect continuance intention from a survey conducted on M-Internet service users. Then, the results of this study are discussed along with its limitations and implications.

• Journal of Korean Society for Quality Management
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• v.29 no.2
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• pp.120-130
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• 2001

In this paper, the QFD(quality function deployment) technique is used to acquire the quality requirements of package software which is sold in commercial software shop. To select the principal quality characteristics of package software, an user survey was conducted for a quality model developed based on the international standards and the previous research. The software user is divided into three groups: the general user, the expert, and the developer. Based on the survey results, the top 10 quality characteristics are selected including accuracy, suitability, installability, de-installability, and maturaty. Then, the QFD technique is applied to choose the software quality attributes which have strong correlation with the selected quality characteristics, some of which are traceability, accuracy, modularity, completeness, and self-descriptiveness. The developed procedure can be used in evaluating the quality of package software with lower costs and efforts.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.411-415
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• 1996

User's sensibility has an important effect upon appreciating household electronic appliances and user's feeling of satisfaction with products has a good effect on the choice of product on purchasing those items. In this point of view, the human-oriented approach of product development system can be adopted as Human Sensibility Engineering. The target of changed development system is to define user's sensibility factors and to apply them to design and development. In this study, the human sensibility ergonomics approach and usability test have been applied to the development and evaluation of an electronic product model.

• Journal of the Korean Society for information Management
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• v.14 no.1
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• pp.207-222
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• 1997

This study is aimed at design and implementation of data format for non-book materials in the field of library user interface. The ba-sic data elements were complied with KORMARC and some amend-ments with detailed expansions were applied for development of the use of at libraries. The data formats of various types of media such as books, audio materials, image data, pamphlets, posters which stored in art library were designed respectively through the use of Graphical User Interface.

• Knowledge Management Research
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• v.19 no.3
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• pp.47-61
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• 2018

A knowledge map, a taxonomy of knowledge repositories, must have capabilities supporting and enhancing knowledge user's activity to search and select proper knowledge for problem-solving. Conventional knowledge maps, however, have been hierarchically categorized, and could not support such activity that must coincide with the user's cognitive process for knowledge utilization. This paper, therefore, aims to verify and develop a methodology to build a networked knowledge map that can support user's activity to search and retrieve proper knowledge based on the referential navigation between content-relevant knowledge. This paper deploys keywords as the semantic information between knowledge, because they can represent the overall contents of a given document, and because they can play the role of semantic information on the link between related documents. By aggregating links between documents, a document network can be formulated: a keyword-based networked knowledge map can be finally built. Domain expert-based validation test was also conducted on a networked knowledge map of 50 research papers, which confirmed the performance of the proposed methodology to be outstanding with respect to the precision and recall.

• Knowledge Management Research
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• v.15 no.3
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• pp.209-228
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• 2014

The explosive growth of social commerce engenders a new business model, that is, infomediary. In a social commerce environment, infomediary works as a personal agent who provides information about various web merchants to help consumers select appropriate merchants for their needs. The purpose of this study is to identify the factors influencing consumer attitudes towards infomediaries in social commerce and examine the relationship between intention to provide word of mouth and consumer attitudes. In total, 170 responses were collected from social commerce infomediary users. The results show that competence and integrity significantly influence user attitudes as trust dimensions. Infomediary reputation and two functional factors (information variety and navigation functionality) turn out to be significant antecedents for user attitudes toward infomediary in social commerce. User attitudes in turn significantly influence the intention to provide word of mouth. Future research and practical implications are also discussed.