• The Journal of Society for e-Business Studies
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• v.19 no.3
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• pp.107-123
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• 2014

Current text mining techniques suffer from the problem that the conventional text representation models cannot express the semantic or conceptual information for the textual documents written with natural languages. The conventional text models represent the textual documents as bag of words, which include vector space model, Boolean model, statistical model, and tensor space model. These models express documents only with the term literals for indexing and the frequency-based weights for their corresponding terms; that is, they ignore semantical information, sequential order information, and structural information of terms. Most of the text mining techniques have been developed assuming that the given documents are represented as 'bag-of-words' based text models. However, currently, confronting the big data era, a new paradigm of text representation model is required which can analyse huge amounts of textual documents more precisely. Our text model regards the 'concept' as an independent space equated with the 'term' and 'document' spaces used in the vector space model, and it expresses the relatedness among the three spaces. To develop the concept space, we use Wikipedia data, each of which defines a single concept. Consequently, a document collection is represented as a 3-order tensor with semantic information, and then the proposed model is called text cuboid model in our paper. Through experiments using the popular 20NewsGroup document corpus, we prove the superiority of the proposed text model in terms of document clustering and concept clustering.

• Management & Information Systems Review
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• v.34 no.4
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• pp.121-139
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• 2015

This study examine the overlapping concepts among the brand performance variables such as brand trust, consumer-brand relationship, and brand loyalty in study one after divided consumer-brand relationship into 4 different variables, brand congruity, interdependence, brand nostalgia, brand love. Contrary to expectation, conclusion of factor analysis shows that there exist 4 factors based on eigenvalue. The variables such as brand experience, consumer-relationship, and brand love are divided into several variables and verified the validity of these concepts. We can easily witness this kind of situation because researchers use different scales on same variables Second study suggest brand love is concept that harder to accomplish than brand loyalty. Because the several fit indices of first model that indicate the simple relationships among brand trust, consumer-brand relationship, and brand loyalty are very low to accept, this study propose 4 different models. Conclusion shows that model 3b(love is placed last) is most acceptable thing. And this means love brands like people might be hardest thing to achieve.

• Journal of Distribution Science
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• v.5 no.2
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• pp.55-78
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• 2007

Northeast Asia is one of the regions which have been developing so rapidly. Yellow sea, located between Korea and China, became a very important logistical zone because of its huge volume of cargo and big passenger traffic. These two countries continuously are enlarging their port facilities such as berths, container yards, storage capacity and their information system in this the Pan Yellow sea area. Two countries also introduce many new liner routes and car-ferry shipping services. Therefore there must be a severe competitions and conflicts among the countries and their companies and ports as well. Some experts worry about the over capacity of port and logistics facilities. This paper investigated the current conditions of Korea-China shipping route, container and car-ferry route, and found out the problems and tasks, with the support of many experts. There are so many alternatives and strategies to solve and rationalize the shipping route and the problems of ports of two countries. This paper suggest many strategies connecting with marketing 4Ps. As port service is also a kind of service product, we can categorize the strategies into 4Ps suggested by McCarthy. And this paper classify all these alternatives into 3 dimensions. There are competitive strategies, cooperative strategies and coopetition strategies. This paper propose some directions and ideas for adopting the strategy in the port and logistical topics between Korea and China, suggesting 3 dimensions of strategies. After this paper, many diagnoses and practical investigations should be executed to introduce optimal solutions and minimize the additional cost.

• Management & Information Systems Review
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• v.39 no.2
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• pp.163-179
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• 2020

Recently, impact investment has attracted attention all over the world. This is intended to effectively solve problems by combining private capital and various financial techniques with social and environmental needs, as it is recognized that it is difficult to solve social and environmental problems. Impact investment means a mixture of financial, social, and environmental aspects. This refers to an investment focused on such a blended value, through which it simultaneously achieves financial and social values such as return on investment. The purpose of this study is to study whether impact investment, which has become a new issue, is actually applicable in Korea. This study first considers the concept and method of impact investment, and a prior study on social enterprises and impact investment that pursue social values. In particular, after analyzing in detail the social performance-related bonds (SIB) and operational cases, we intend to explore the possible applicability of impact investment to Korea. The results and implications of this study are, first, changes in the government's attitude toward impact finance. The government should entrust innovative public works to market-proven service providers to enhance the professionalism and efficiency of public service projects. Second, the legal system must innovate. Impact investment should provide an institutional foundation to pursue social problem solving simultaneously, not maximizing financial performance. Third, when investing in public works in the private sector, impact investment must clearly demand social performance and clarify the evaluation accordingly. The project execution process should create an impact environment that is more free and active.

• Management & Information Systems Review
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• v.39 no.2
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• pp.61-75
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• 2020

The purpose of this study were to investigate self-leadership, nursing professionalism, job involvement and turnover intention and to identify factors influencing turnover intention of geriatric nurses working in long term care hospitals. The data of it were collected from the 135 questionnaires of its subjects, the nurses working in long term care hospitals in D province. The collected data were analyzed using descriptive statistics, t-test, ANOVA, Scheffe test, Pearson's correlation coefficient and stepwise multiple regression analysis with SPSS/WIN 21.0. The results revealed that the nurses working in long-term care hospitals had medium level of turnover intention. There were significant correlation between self-leadership, nursing professionalism, job involvement and turnover intention. Factors affecting turnover were age, marital status, nursing professionalism. Nursing professionalism was the most influential factor with an explanatory power of 30.6%. Based on the result, to reduce turnover intention of long term care hospital nurses, it is necessary to enhance their nursing professionalism through development of educational program and organizational support, establishment of systematic strategy and creation of suitable environment for enhancement of job involvement, and intervention for the work force management considering the variables related to turnover intention of nurses working in long-term care hospitals are required in order to reduce turnover intention of theses nurses.

• Korean Chemical Engineering Research
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• v.55 no.5
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• pp.609-617
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• 2017

Lignocellulosic biomass is a renewable resource for production of biofuels and biochemicals. Furfural (FF) is an important platform chemical catalytically derived from the hemicellulose fraction of biomass. Tetrahydrofurfuryl alcohol (THFA) is a FF derivative and can be used as an eco-friendly solvent with thermal and chemical stability. Despite large numbers of experimental studies for catalytic conversion of FF to THFA, few research have conducted on the economic feasibility for large-scale THFA production from FF. At the stage of assessment of the potential for commercialization of conversion technology, a large-scale process study is required to identify technological bottleneck and to obtain information for solving scale-up problems. In this study, process simulation and technoeconomic evaluation for catalytic conversion of FF to THFA are performed, as the following three steps: integrated process design, heat integration, and economic evaluation. First, a large-scale process including conversion and separation processes is designed based on experimental results. When the FF processing rate is 255 tonnes per day, the FF-to-THFA yields are 63.2~67.9 mol%. After heat integration, the heating requirements are reduced by 14.4~16.4%. Finally, we analyze the cost drivers and calculate minimum selling price of THFA by economic evaluation. The minimum selling price of THFA for the developed process are $2,120~2,340 per tonne, which are close to the current THFA market price.

• Journal of Environmental Impact Assessment
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• v.26 no.2
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• pp.105-113
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• 2017

Recently mountain tourism has been promoted and introduction of railroads with utilizing mountain resources is being planned. With the government policies to increase the share of eco-friendly transportation on railroad, national double-tracking of single rail and improvement projects are on going. However, the eco-friendly railroad policy suggests the environmental impact assessment items only on air quality, water quality, geographical/geological features, fauna/flora, natural/environmental resources, noise/ vibration, and recreation/landscape. And for fauna/flora and natural/environmental resources, confirming the presence of environmental protection zone is enough to satisfy legal requirement. This study suggested to evaluate environmental/ecological values with quantitative data. Evaluation indices and evaluation items have been selected to provide the data. Each of the subject map and railroad network was overlapped. The study selected naturalness and diversity as major indicators and calculated weight values of the items under the indicators, which are to be usd for the selection of the sites for railway development. This assessment method could be applied to the environmentally friendly construction of railroads in the future.

• Informatization Policy
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• v.24 no.2
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• pp.68-86
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• 2017

This research aims to analyze the changes in participants' capacity (problem-solving ability and self-leadership), humanity (self-efficacy), and global network (intercultural sensitivity) as performance indicators and the 'effectiveness of personal characteristics' of the World Friends IT Volunteers program. To do this, the study conducted a pre-test and a post-test on 364 participants of the World Friends IT Volunteers program. The collected data is investigated through ANCOVA using covariates, driven from the prerest results. The results of this study represent that meaningful improvements have been identified in problem-solving ability, self-leadership and intercultural sensitivity since the operation of the program. Regarding the personal characteristics, performance in the female group improved more than the male group in terms of intercultural sensitivity, whereas the male group showed better performance on self-efficacy than the female group. In addition, the group with a high level of English proficiency showed more progress on intercultural sensitivity and self-leadership than the English-beginner group. Besides, the group who had an experience of short-term stay overseas showed moderate improvement on problem-solving ability and intercultural sensitivity when compared to other groups. The group who had lived overseas for a long-term showed better indicators on intercultural sensitivity. Also, self-efficacy of the leader group was more noticeable than that of the member group.

• Journal of Music and Human Behavior
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• v.13 no.2
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• pp.31-48
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• 2016

This study investigated how music therapists perceive the professionalism of the profession. A total of 98 certified music therapists completed the online survey for a 46.7% response rate, and 78 questionnaires were included in the analysis after excluding incomplete responses. The results of this study demonstrated that music therapists show a high level of standards for music therapy professionalism in general. Meanwhile, the respondents gave their lowest rating on the perception of their occupation as a social service addressing the needs of society. The majority of respondents rated the level of their professionalism as high and they tended to identify individual competency as the most important factor. Also, there were significant differences in perceived professionalism depending on the length of clinical practice and level of education. These results indicate that the quality of training may contribute to a high level of perception on professionalism. Also, lower levels of perception on social aspects of the professionalism support the need for continuing education to broaden the understanding of professionalism. Given the importance of professionalism in enhancing the quality of care for clients and expanding the profession, further studies were suggested to increase understanding of the music therapy professionalism and propose strategies for maintaining the professionalism of music therapists.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.1
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• pp.45-52
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• 2015

The interoperability of multi-source data has become more important due to various digital maps, produced from public institutions and enterprises. In this study, the automatic matching algorithm of multi-source building data using hierarchical matching was proposed. At first, we divide digital maps into blocks and perform the primary geometric registration of buildings with the ICP algorithm. Then, corresponding building pairs were determined by evaluating the similarity of overlap area, and the matching threshold value of similarity was automatically derived by the Otsu binary thresholding. After the first matching, we extracted error matching candidates buildings which are similar with threshold value to conduct the secondary ICP matching and to make a matching decision using turning angle function analysis. For the evaluation, the proposed method was applied to representative public digital maps, road name address map and digital topographic map 2.0. As a result, the F measures of matching and non-matching buildings increased by 2% and 17%, respectively. Therefore, the proposed method is efficient for the matching of building polygons from multi-source digital maps.