• Information Systems Review
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• v.17 no.3
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• pp.95-111
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• 2015

The recommendation system automatically provides the predicted items which are expected to be purchased by analyzing the previous customer behaviors. This recommendation system has been applied to many e-commerce businesses, and it is generating positive effects on user convenience as well as the company's revenue. However, there are several limitations of the existing recommendation systems. They do not reflect specific criteria for evaluating products or the factors that affect customer buying decisions. Thus, our research proposes a collaborative recommendation model algorithm that utilizes each customer's online product reviews. This study deploys topic modeling method for customer opinion mining. Also, it adopts a kernel-based machine learning concept by selecting kernels explaining individual similarities in accordance with customers' purchase history and online reviews. Our study further applies a multiple kernel learning algorithm to integrate the kernelsinto a combined model for predicting the product ratings, and it verifies its validity with a data set (including purchased item, product rating, and online review) of BestBuy, an online consumer electronics store. This study theoretically implicates by suggesting a new method for the online recommendation system, i.e., a collaborative recommendation method using topic modeling and kernel-based learning.

• Design Convergence Study
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• v.15 no.2
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• pp.347-368
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• 2016

Recently, researches for the word of mouth(WOM) imply that consumers use WOM informations of products in their purchase process. This study suggests methods using opinion mining and visualization to understand consumers' opinion of each goods and each markets. For this study we conduct research that includes developing domain ontology based on reviews confined to "movie" category because people who want to have watching movie refer other's movie reviews recently, and it is analyzed by opinion mining and visualization. It has differences comparing other researches as conducting attribution classification of evaluation factors and comprising verbal dictionary about evaluation factors when we conduct ontology process for analyzing. We want to prove through the result if research method will be valid. Results derived from this study can be largely divided into three. First, This research explains methods of developing domain ontology using keyword extraction and topic modeling. Second, We visualize reviews of each movie to understand overall audiences' opinion about specific movies. Third, We find clusters that consist of products which evaluated similar assessments in accordance with the evaluation results for the product. Case study of this research largely shows three clusters containing 130 movies that are used according to audiences'opinion.

• Management & Information Systems Review
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• v.30 no.3
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• pp.85-105
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• 2011

The primary purpose of this study is to examine the effects of privacy concern on user's satisfaction and continuance intention in SNS. Based on relevant literature reviews, this study posits five characteristics, that is, privacy concern, perceived usefulness, perceived enjoyment, satisfaction, and continuance intention as key factors. And then we structured a research model and hypotheses about relationship between these variables. A total 298 usable survey responses of SNS users have been employed in the analysis. The major findings from the data analyses are as follows. Firstly, privacy concern had a significant influence upon perceived usefulness and enjoyment, however, privacy concern had not a significant influence upon satisfaction Secondly, perceived usefulness and enjoyment had a positive influence upon satisfaction. Lastly, user's perceived usefulness, perceived enjoyment, and satisfaction had significantly related to continuance intention in SNS. From this study, we expect to suggest practical and managerial implications to SNS providers.

• KIPS Transactions on Computer and Communication Systems
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• v.4 no.9
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• pp.289-296
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• 2015

The explosive growth of information has been difficult for users to get an appropriate information in time. The various ways of new services to solve problems has been provided. As customized service is being magnified, the personalized recommendation system has been important issue. Collaborative filtering system in the recommendation system is widely used, and it is the most successful process in the recommendation system. As the recommendation is based on customers' profile, there can be sparsity and cold-start problems. In this paper, we propose personalized movie recommendation system using collaborative filtering techniques and context-based techniques. The context-based technique is the recommendation method that considers user's environment in term of time, emotion and location, and it can reflect user's preferences depending on the various environments. In order to utilize the context-based technique, this paper uses the human emotion, and uses movie reviews which are effective way to identify subjective individual information. In this paper, this proposed method shows outperforming existing collaborative filtering methods.

• The Journal of Society for e-Business Studies
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• v.21 no.2
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• pp.97-119
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• 2016

Motion-sensing interface enhances the sense of reality of user experience in virtual reality context. This study analyzes the innovation resistance and adoption structure for Leap Motion, which provides a motion-sensing function, primarily considering the theory of perceived risk. Previous research regarding innovation resistance and adoption mainly addressed the resultant aspects of perceived risk, or the impact of perceived value on the adoption intention. This study synthetically reviews previous studies from a multi-dimensional view considering both resistance- and adoption-perspective. To do so, we identified important antecedents that affect perceived risk and value, and we analyzed the compound dynamics of perceived risk and value towards innovation resistance. As a result, we found that the antecedents included in the existent acceptance models from adoption-perspective can help reduce the level of perceived risk, and that higher perceived value leads to lower innovation resistance. Additionally, trialability can rather foster the perceived risk.

• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.237-246
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• 2017

Recently, with the attention of future vehicle technology, automobiles that are influenced by user experience(UX) are regarded as living space. However, the concept of term, definition, and constituent factors of driving experience have not been established so far. The purposes of this study are to define driving experience in terms of UX and to extract experience factors. We conducted the 18 drivers interviews and studied literature reviews. The collected interview data was analyzed by bottom-up method based on the grounded theory. And we reconstructed it through the top-down approach, based on the results of the literature review. As the result, the 'driving experience' is a concept that means all the emotions, perceptions, and cognitive outcomes on the basis of personal characteristics that drivers have in anticipation of the driving situation from the start to the destination Respectively. Nine factors that constitute driving experience were extracted by 'internal UI factors', 'environmental factors' and 'user related factors'.

• Journal of Astronomy and Space Sciences
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• v.28 no.1
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• pp.93-102
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• 2011

Korea Astronomy and Space Science Institute (KASI) launched the development project of two satellite laser ranging (SLR) systems in early 2008 after the government fund approval of the SLR systems in 2007. One mobile SLR system and one permanent SLR station will be developed with the completion of the project. The main objectives of these systems will be focused on the Space Geodetic researches. A system requirement review was held in the second half of the same year. Through the following system design review meeting and other design reviews, many unsolved technical and engineering issues would be discussed and resolved. However, the design of the mobile SLR system is a corner stone of whole project. The noticeable characteristics of Korea's first SLR system are 1) use of light weight main mirror, 2) design of compact optical assembly, 3) use of KHz laser pulse, 4) use of commercial laser generator, 5) remote operation capability, 6) automatic tracking, 7) state of art operation system, etc. In this paper, the major user requirement and pre-defined specification are presented and discussed.

• Journal of Korean Library and Information Science Society
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• v.43 no.1
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• pp.123-141
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• 2012

The purpose of this study is to examine the possibility of using the WorldCat, an International Union Catalog operated by OCLC as a tool for analyzing the trend of knowledge distribution in libraries around the world. In this study, four subject keywords, that is, Korea, Korean, Japan, and Japanese, were used to search materials related to Korea and Japan, and four facets, including medium, genre, language, and user level, were used to categorize search results from the WorldCat. The result shows that information resources related to Korea held by libraries around the world are only a little more than a third of Japan-related information resources. Especially Korea-related information resources for juveniles are less in numbers and lack in diversity in languages, media and genres, when compared with Japan-related information resources. Also an examination of two bibliographic records demonstrates that viewpoints expressed in user contributed reviews might affect diffusion of knowledge on certain subjects in the Next Generation Library Catalog.

• Journal of Global Scholars of Marketing Science
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• v.16 no.1
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• pp.1-11
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• 2006

DRM(Digital Right Management), which realize the controllability of intellectual right in the process of transactions with economically feasible cost, may cause critical changes in the distributions of digital contents. This Paper takes notice of the concept of 'Super Distribution' in which every user can be the core of the distribution and the possibility of usingvarious price structures by introducing DRM. We reviews that Super Distribution can increase the demand of digital contents by decreasing the information cost in the user aspect, and it can also diminish the distribution cost dramatically in the provider aspect. Also, DRM may allow various types of pricing which use different criteria such as the number or duration of usage. The variety in price structure can increase not only the profit of provider but the utility of consumer. These characteristics of DRM, as a whole, increase the efficiency of distribution and make the providers differentiate their services.

• Journal of Construction Engineering and Project Management
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• v.2 no.1
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• pp.14-19
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• 2012

Maturity models allow organizations to assess and compare their own practices against best practices or those employed by competitors, with the intention to map out a structured path to improvement. This research explores the aspects of the Maturity Models that are relevant to distinguish them from one to another. The different Project Management maturity models for define maturity differently and measure different things to determine maturity. Because of this, organizations should give careful consideration to select appropriate maturity model. The main reason behind this research lies on the modification to the existing Organizational Project Management Maturity Model (OPM3) by adding four knowledge areas, dedicated to construction industry as best practices. These are Safety, Environment, Financial and Claim Management. This Model contains (Yes/No) questions; all of these questions must be answered before the user reviews the results that describe the overall maturity and areas of strength and weakness of an organization. The research presents the implementation of the proposed Model Construction Enterprises Maturity Model (CEM2). All the components of the developed Model have been implemented in Microsoft Access. CEM2 helps Construction Enterprises to assess their Maturity Level and know Areas of Weaknesses for future improvement. The easy to use Yes/No user interfaces help enterprises' employees to assess the maturity level of their enterprises. The Model maintains users' responses in its database; as such, many employees from different enterprise divisions can be involved during assessment phase in several sessions.