• Management & Information Systems Review
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• v.38 no.4
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• pp.1-24
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• 2019

This study confirms the responses of consumers when the composition of emoticon bundles can be selected by individuals in MIM service. This aims to verify that customized bundling is a valid marketing strategy in the MIM emoticon market. Currently, the emoticon bundling used in Korean MIM services is in the form of pure bundling. As a result, Consumers must purchase an entire bundle even though he/she doesn't need to use all the emoticons contained in it. Some researches(e.g. Hitt & Chen, 2005; Wu & Anandalingam, 2002) show that when consumers value only part of the products or services included in pure bundling, customized bundling is much more profitable. In their works, customized bundling is appropriate when marginal costs are near zero. Information goods, such as emoticons, meet the condition. On the other hand, customized bundling increase the choosable options, so it can pose a problem of complexity (Blecker et al., 2004). And consumers may experience information overload(Huffman & Kahn, 1998). Thus, judgement on the necessity to introduce customized bundling needs to be made through empirical analyses in the light of characteristics of the product and the reaction of consumers. Results show that when customized bundling was introduced, consumers' purchase intention and willingness to pay significantly increased. Purchase intention for customized bundles has increased by 0.44 based on the five point Likert scale than the purchase intention for existing pure bundles. The increase in purchase intention for customized bundles was statistically independent of the existing purchasing experience. In addition, the willingness to pay was increased by about 2.8% compared to the price of the existing emoticon bundles in the whole group. The group with experience in purchasing pure bundles were willing to pay 5.9% more than pure bundles. The other group without experience in purchasing pure bundles were willing to buy if they were about 5% cheaper than the existing price. Overall, introducing customized bundling into emoticon bundles can lead to positive consumers responses and be a viable marketing strategy.

• Journal of Korea Spatial Information System Society
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• v.11 no.4
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• pp.28-32
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• 2009

For the ubiquitous web environment internet, as an one of the R&D projects by Korean Land Spatialization Group, the project for platform technologies was initiated to provide customized land information and geospatial service. The platform technologies can be categorized for streaming, mashup and geosearch. More specifically, the 2D/3D hybrid streaming engine, mashup engine for u-GIS service and next generation search engine for land information have been developed. In this context, the patent analyses are required to propose the strategies for efficient development and use of these technologies. This study searches the related patents in Korea, US and EU, analyzes the trend of them for customized spatial information technologies, and finally proposes proper strategies.

• Journal of the Korean Society for information Management
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• v.31 no.4
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• pp.133-159
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• 2014

The purpose of this study was to investigate the librarians' perceptions of the customized bibliographic instructions (CBI) at four-year academic libraries in Korea. The study also examined instruction librarians' perceptions of the obstacles and the factors associated with the effective adoption and delivery of the CBI. This study conducted both a survey research method and an in depth-interview. The findings of the study revealed the librarians' perception of the obstacles and facilitators in adopting and operating the CBI, which suggests useful strategies to apply in delivering the CBI in academic libraries.

• Journal of Korea Technology Innovation Society
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• v.20 no.1
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• pp.81-102
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• 2017

Financing, manpower support and tax are the most popular tools for policy for small and medium enterprises (SMEs). This paper, however, will introduce information analysis support for SMEs and will prove that can be a good tool. The information analysis support means the support of technology and market information for the technology development or commercialization of SMEs. Therefore, the support is a customized one. In the theory domain, we adopt and prove two theoretical grounds as an SMEs policy such as market and system failure. In the policy tool domain, we suggest four requirements to be an SMEs policy and prove the tool to satisfy these requirements. All the data and proofs are from a government research institute called K.

• The Journal of Information Systems
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• v.28 no.4
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• pp.155-174
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• 2019

Purpose Social interest in financial statement notes has recently increased. However, contrary to the keen interest in financial statement notes, there is no morphological analyzer for accounting terms, which is why researchers are having considerable difficulty in carrying out research. In this study, we build a morphological analyzer for accounting related text mining techniques. This morphological analyzer can handle accounting terms like financial statements and we expect it to serve as a springboard for growth in the text mining research field. Design/methodology/approach In this study, we build customized korean morphological analyzer to extract proper accounting terms. First, we collect Company's Financial Statement notes, financial information data published by KPFIS(Korea Public Finance Information Service), K-IFRS accounting terms data. Second, we cleaning and tokeninzing and removing stopwords. Third, we customize morphological analyzer using n-gram methodology. Findings Existing morphological analyzer cannot extract accounting terms because it split accounting terms to many nouns. In this study, the new customized morphological analyzer can detect more appropriate accounting terms comparing to the existing morphological analyzer. We found that accounting words that were not detected by existing morphological analyzers were detected in new customized morphological analyzers.

• Journal of the Korea Society of Computer and Information
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• v.20 no.8
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• pp.7-13
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• 2015

Recently, there are serviced user customized advertisement of various type using smart device. Representative services are advertisement service using light of smart TV screen or audible sound of smart TV to transmit advertisement information. However, those services have to do a specific action of smart device user for advertisement information or need audible audio information of TV contents. To overcome those weakness, therefore, we propose an advertisement method using inaudible sound of speaker based on smart device. This method supports the transfer of advertising content to the smart device user with no additional action or TV audio signal required to access that content. The proposed method used two high frequencies among 18kHz ~ 22kHz of audible frequency range which smart TV can send out. And it generates those frequencies synthesized with audio of TV contents as trigger signal which can send advertisements to smart device. Next, smart device analysis the trigger signal and request advertisement contents related to the signal to server. After then, smart device can show the downloaded contents to user. Because the proposed method uses the high frequencies of sound signals via the inner speaker of the smart device, its main advantage is that it does not affect the audio signal of TV content. To evaluate the efficacy of the proposed method, we developed an application to implement it and subsequently carried out an advertisement transmission experiment. The success rate of the transmission experiment was approximately 97%. Based on this result, we believe the proposed method will be a useful technique in introducing a customized user advertising service.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.4
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• pp.25-31
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• 2006

With the increasing demand of foreign language education in colleges, an effective testing and study system is also needed especially for large scale classes. In this paper, 1 propose a new online system for running large scale foreign language classes which supports not only testing function but also individually customized studying and diagnosis functions. Using the proposed system enables saving of testing space and helps all students get equally good testing and study environment regardless of class size and lecturers.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.2
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• pp.113-125
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• 2017

In today's highly competitive environment, the importance of technology protection cannot be overemphasized. To evaluate technology protection competency of Small and Medium-sized Enterprises(SMEs), Government has conducted surveys every year but its effectiveness is still in question. To enhance the effectiveness of technology protection for SMEs, a customized evaluation model of technology protection competency has been suggested in this study. Surveys are conducted to measure the relative importance of evaluation areas that can be influenced by the size and type of business. The analysis shows that there exists significant differences between evaluation areas. This study suggests that the effectiveness of technology protection can be enhanced by utilizing a customized evaluation model depending on the size and type of business. Also, the proposed model can be used for SMEs to identify and enhance their weakness in technology protection. Overall, it is expected that the proposed model can be effectively used to protect valuable technologies in various SMEs.

• Journal of Intelligence and Information Systems
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• v.22 no.2
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• pp.97-113
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• 2016

Due to the growth of internet data and the rapid development of internet technology, "big data" analysis is actively conducted to analyze enormous data for various purposes. Especially in recent years, a number of studies have been performed on the applications of text mining techniques in order to overcome the limitations of existing structured data analysis. Various studies on sentiment analysis, the part of text mining techniques, are actively studied to score opinions based on the distribution of polarity of words in documents. Usually, the sentiment analysis uses sentiment dictionary contains positivity and negativity of vocabularies. As a part of such studies, this study tries to construct sentiment dictionary which is customized to specific data domain. Using a common sentiment dictionary for sentiment analysis without considering data domain characteristic cannot reflect contextual expression only used in the specific data domain. So, we can expect using a modified sentiment dictionary customized to data domain can lead the improvement of sentiment analysis efficiency. Therefore, this study aims to suggest a way to construct customized dictionary to reflect characteristics of data domain. Especially, in this study, movie review data are divided by genre and construct genre-customized dictionaries. The performance of customized dictionary in sentiment analysis is compared with a common sentiment dictionary. In this study, IMDb data are chosen as the subject of analysis, and movie reviews are categorized by genre. Six genres in IMDb, 'action', 'animation', 'comedy', 'drama', 'horror', and 'sci-fi' are selected. Five highest ranking movies and five lowest ranking movies per genre are selected as training data set and two years' movie data from 2012 September 2012 to June 2014 are collected as test data set. Using SO-PMI (Semantic Orientation from Point-wise Mutual Information) technique, we build customized sentiment dictionary per genre and compare prediction accuracy on review rating. As a result of the analysis, the prediction using customized dictionaries improves prediction accuracy. The performance improvement is 2.82% in overall and is statistical significant. Especially, the customized dictionary on 'sci-fi' leads the highest accuracy improvement among six genres. Even though this study shows the usefulness of customized dictionaries in sentiment analysis, further studies are required to generalize the results. In this study, we only consider adjectives as additional terms in customized sentiment dictionary. Other part of text such as verb and adverb can be considered to improve sentiment analysis performance. Also, we need to apply customized sentiment dictionary to other domain such as product reviews.

• Journal of the Korea Computer Industry Society
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• v.6 no.3
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• pp.421-428
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• 2005

Insufficiency of special knowledge and construction cost makes it difficult in build a customized-feed service system in the agricultural and livestock industry In this paper, customized-feed service system was developed in the internet service environment by using digital information and technology as a grafted system. This system has a couple of advantages like economic feed supply and effective management of feed production cost which make it possible to establish a customized-feed database suitable for the working environment in the agricultural and livestock industry. And this system is expected as a solution for 21st century digitalized agricultural and livestock industry which make it certain in real time by constructing a network environment and digitalizing the equipment and component related to the farm production.