• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2006.11a
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• pp.190-195
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• 2006

The purpose of this study is to suggest the digitalizing model of Belonging relationship information. for this study, the psychological demands of people are analysed based on the premise that the formation of various space is made by mental needs rather than functional needs. The Digitalized Belonging relationship information model consisted of such structuring factors, the visual relationship information, the accessible relationship information and the opening ratios of spaces As a result, the suggested digitalizing model will be considered as an efficient tool for the objective analysis of Belonging relationship between space. In addition, the model will contribute to the expansion of terminology in the field of digital space design

• Animal Systematics, Evolution and Diversity
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• no.spc9
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• pp.51-72
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• 2016

We surveyed the biodiversity of lepidopterous insects in Jindo Island using UV bucket trap in July 2016 to determine the relationship between surrounding environment and ecosystem in order to contribute to biodiversity conservation and management of coastal islands in Korea. Based on our survey results, a total of 262 lepidopterous insect species in 16 families were collected from Jindo Island. Members belonging to families Noctuidae and Geometridae made up approximately half of the total species (86 species [32.82%] in Noctuidae and 44 species [16.79] in Geometridae). There were 29 species (11.07%) belonging to Crambidae and 28 species (10.69%) belonging to Pyralidae. As a result of all collections based on previous literature and this study, a total of 730 species belonging to 34 families were collected from Jindo Island, including 33 protected species, 242 species (33.15%) belonging to Noctuidae (the most abundant), 124 species (16.99%) belonging to Geometridae, 79 species (10.82%) belonging to Crambidae, and 65 species (8.90%) belonging to Pyralidae. The most frequently collected species was Lamoria glaucalis in this syudy. Our results on the diversity of lepidopterous insects will provide basic information for future investigation on diverse changes in the ecosystem of Jindo Island, Korea.

• Journal of Fashion Business
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• v.19 no.5
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• pp.157-174
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• 2015

This research intends to observe the effects of social capital regarding fashion social enterprises on the community sense of participating consumers, and verify the relationship of the effects that such social capital and community sense have on sustainability formation variable(shared values, suitability of values, behavioral flow, cognitive belief and long-term relationship orientation) of social enterprises. For such analysis, a sample of 400 consumers with experience of purchasing products of fashion social enterprises more than once was utilized, and path analysis was conducted utilizing AMOS 20.0. As a result of this research, first, information sharing, social participation among the characteristic factors of social enterprises' social capital had a meaningful impact on shared values, and self-pursuit and significance meaningfully affected the suitability of values. Second, mutual influence, sense of belonging, satisfaction of needs and emotional bond among the characteristic factors of community sense between social enterprises and consumers meaningfully affected shared values, whereas mutual influence, sense of belonging and emotional bond substantially influenced suitability of values. Third, shared values and suitability of values affected the relationship between behavioral flow and cognitive trust, and behavioral flow and cognitive trust both had meaningful impact on long-term relationship orientation.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.113-119
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• 2020

Numerous tourist-related data produced on the Internet contain not only simple tourist information but also diverse ideas and opinions from users. In order to derive meaningful information about tourist sites from such big data, the social network analysis of tourist keywords can identify the frequency of keywords and the relationship between keywords. Thus, it is possible to make recommendations more suitable for users by utilizing the clear recommendation criteria of tourist attractions and the relationship between tourist attractions. In this paper, a recommendation system was designed based on tourist site information through big data social network analysis. Based on user personality information, the types of tourism suitable for users are classified through deep learning and the network analysis among tourist keywords is conducted to identify the relationship between tourist attractions belonging to the type of tourism. Tour information for related tourist attractions shown on SNS and blogs will be recommended through tagging.

• Journal of Korean Society for Geospatial Information Science
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• v.7 no.2 s.14
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• pp.15-22
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• 1999

New Address System have been defined by section belonging to a road To manage this New Address System the relationship between road and section must have consistency and convenience. So, It have to be designed not only logical relation but physical relation for The relationship between road and section. To make New Address Management System considered the relationship, It must be design database considered the relationship. In this study, therefore would like to present the database design considered the relationship between road and section. And then using GSIS system, New Address Management System have been developed.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.819-829
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• 2020

This empirical research is aimed at testing the relationship of the big five personality traits namely openness to experience, extraversion, consciousness, agreeableness, neuroticism, and risk aversion with the investment intention of individual investors belonging to Balochistan, Pakistan. The primary data is collected through a self-administered questionnaire (a structured form that consists of a series of closed-ended and open-ended questions) from a sample of 397 active individual investors belonging to different districts of the province. The data is empirically analyzed by applying the Partial Least Square (PLS) path modeling technique by using the estimation package available in Smart-PLS. The findings of this study suggest that all the variables are statistically significant with investors' investment intention with risk aversion as the strongest predictor. Moreover, openness to experience, extraversion, consciousness, agreeableness, and risk are significantly and positively related to an investor's investment intention, whereas neuroticism is negatively related to an investor's investment intention. The results extended by this study can be used by financial planners and investment bankers to channelize the available financial resources in diversified portfolios. The results will help financial planners to make available diverse investment alternatives for investors in Balochistan, thus catering to their unique needs. Academia must offer courses on contemporary finance paradigm based on behavioral finance to enable future business graduates to make wise financial decisions.

• International Commerce and Information Review
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• v.8 no.4
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• pp.343-368
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• 2006

The rapid expansion of regionalism has resulted in the creation of blocs of the global economy, so that those countries not belonging to one or more blocs can be discriminated. The purpose of this paper is to examine the competition policy theoretically, international background with issues, and discussion trend of global enterprise. By doing them, this paper suggests the responsive plan, future prospects, and policy directions for the competition policy by distribution service. There is not a statistically significant relationship between international diversification strategy and firm performance. However, we observed some tendency that the larger the firm size, the higher the firm performance, assuming the degree of international diversification or multinationality to be constant. However, the export productivity increase after 1~2 years, and there exits a clear evidence that the innovation investment increases a firm's export competitiveness as time goes on.

• Asia pacific journal of information systems
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• v.14 no.2
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• pp.37-59
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• 2004

Team decision making is a collective behavior that needs to be understood by considering properties belonging to team and individual member domains together. This paper introduces a conceptual model called "Dual-Level(DL)" model that describes a team decision-making process in terms of team level, member level, and the relationship between them. The team-level view explains the decision-making process by considering the team as a wholeand divides the process into three stages: Problem Conceptualization, Alternative Generation, and Selection. The member-level view describes what happens to individual members when they go through the group process and splits it into the five phases: Individual Cognitive Mapping, Problem Decomposition, Subproblem Session, Subproblem Integration, and Team Decision. The DL model works as a theoretical framework to explore team decision making by using a set of computational models of team design and team members. In practice, the conceptual framework is used to build a computational model of decision making team, called "Team-Soar."

• International Commerce and Information Review
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• v.8 no.1
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• pp.227-242
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• 2006

The rapid expansion of regionalism has resulted in the creation of blocs of the global economy, so that those countries not belonging to one or more blocs can be discrimiated. Though signed on the bill of FTA with Chile, Korea is actually alienated from major stream of the blocs. Therefore, Korea government makes efforts to contract more FTAs with countries such as Singapore and Japan, others. FTA is believed to be an important method to secure export and national competitiveness. Therefore, we need to exactly understand critical issues and the long-run effort of FTA. This paper tries to find out important issues and potential strategies relating to electronic commerce in Korea's FTA with other countries. In these means, relationship between FTA and e-Trade are closely related to global business chance. In these means, we should use FTA potentials for encouraging global commerce by e-Trade and develop e-FTA in the foreseeable future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.11
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• pp.3913-3934
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• 2021

Real-time prediction of Web service of quality (QoS) provides more convenience for web services in cloud environment, but real-time QoS prediction faces severe challenges, especially under the cold-start situation. Existing literatures of real-time QoS predicting ignore that the QoS of a user/service is related to the QoS of other users/services. For example, users/services belonging to the same group of category will have similar QoS values. All of the methods ignore the group relationship because of the complexity of the model. Based on this, we propose a real-time Matrix Factorization based Clustering model (MFC), which uses category information as a new regularization term of the loss function. Specifically, in order to meet the real-time characteristic of the real-time prediction model, and to minimize the complexity of the model, we first map the QoS values of a large number of users/services to a lower-dimensional space by the PCA method, and then use the K-means algorithm calculates user/service category information, and use the average result to obtain a stable final clustering result. Extensive experiments on real-word datasets demonstrate that MFC outperforms other state-of-the-art prediction algorithms.