• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.109-122
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• 2014

People are nowadays creating a tremendous amount of data on Social Network Service (SNS). In particular, the incorporation of SNS into mobile devices has resulted in massive amounts of data generation, thereby greatly influencing society. This is an unmatched phenomenon in history, and now we live in the Age of Big Data. SNS Data is defined as a condition of Big Data where the amount of data (volume), data input and output speeds (velocity), and the variety of data types (variety) are satisfied. If someone intends to discover the trend of an issue in SNS Big Data, this information can be used as a new important source for the creation of new values because this information covers the whole of society. In this study, a Twitter Issue Tracking System (TITS) is designed and established to meet the needs of analyzing SNS Big Data. TITS extracts issues from Twitter texts and visualizes them on the web. The proposed system provides the following four functions: (1) Provide the topic keyword set that corresponds to daily ranking; (2) Visualize the daily time series graph of a topic for the duration of a month; (3) Provide the importance of a topic through a treemap based on the score system and frequency; (4) Visualize the daily time-series graph of keywords by searching the keyword; The present study analyzes the Big Data generated by SNS in real time. SNS Big Data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. In addition, such analysis requires the latest big data technology to process rapidly a large amount of real-time data, such as the Hadoop distributed system or NoSQL, which is an alternative to relational database. We built TITS based on Hadoop to optimize the processing of big data because Hadoop is designed to scale up from single node computing to thousands of machines. Furthermore, we use MongoDB, which is classified as a NoSQL database. In addition, MongoDB is an open source platform, document-oriented database that provides high performance, high availability, and automatic scaling. Unlike existing relational database, there are no schema or tables with MongoDB, and its most important goal is that of data accessibility and data processing performance. In the Age of Big Data, the visualization of Big Data is more attractive to the Big Data community because it helps analysts to examine such data easily and clearly. Therefore, TITS uses the d3.js library as a visualization tool. This library is designed for the purpose of creating Data Driven Documents that bind document object model (DOM) and any data; the interaction between data is easy and useful for managing real-time data stream with smooth animation. In addition, TITS uses a bootstrap made of pre-configured plug-in style sheets and JavaScript libraries to build a web system. The TITS Graphical User Interface (GUI) is designed using these libraries, and it is capable of detecting issues on Twitter in an easy and intuitive manner. The proposed work demonstrates the superiority of our issue detection techniques by matching detected issues with corresponding online news articles. The contributions of the present study are threefold. First, we suggest an alternative approach to real-time big data analysis, which has become an extremely important issue. Second, we apply a topic modeling technique that is used in various research areas, including Library and Information Science (LIS). Based on this, we can confirm the utility of storytelling and time series analysis. Third, we develop a web-based system, and make the system available for the real-time discovery of topics. The present study conducted experiments with nearly 150 million tweets in Korea during March 2013.

• Journal of Distribution Research
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• v.12 no.1
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• pp.1-31
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• 2007

While trust and commitment are core mediating variables for the purpose of maintaining the long-term relationship, in the context of the characteristics of company and the relationship performance of its members, there have been limited studies which explore as to how each of the dimensions has affects differently. The basic purpose of this study is to examine the relationship between an automobile manufacturer and its agencies. The main purpose of this study is to examine how each different dimension of trust and commitment on the automobile manufacturer has different mediating effects between the characteristics of company(organization characteristics, relationship characteristics) and relationship performance perceived by its agents. Another purpose is to investigate the mechanism by which the relationship performance of the agencies is improved. An empirical study surveying 115 sales office managers at a leading automobile manufacturer in Korea was conducted. An analysis of the collected data indicates that while the characteristics of company have a positive influence on the agencies' relational performance through the mediating role of both trust of benevolence and commitment, agencies' trust of their headquarter's benevolence has a different influence on the dimensions of commitment. Finally, the authors discussed some theoretical contributions and managerial implications. And then, they presented limitations of this study and the future research directions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.144-156
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• 2014

This study analyzes effects of color marketing on brand charisma and marketing outcomes, specifically focused on agricultural goods co brand. that is color marketing refers to the extent to which people like color marketing and consists of symbolization, association and discrimination, and so called variables of marketing outcome is defined as the extent to which a color evokes meaning (loyalty, satisfaction, and switching barrier of brand). We collected statistically usable data from 266 questionnaire respondents who live in national provinces and analyzed them with SPSS 20.0 and Amos 5.0 to achieve research's goals. Based on the past studies, a total of three hypothesis are addressed in the study. Analysis results revealed that, first, color marketing of symbolization and association had a positive impacts on brand charisma. Second, the survey found that symbolization has q positive influence on brand loyalty and satisfaction except for switching barrier, association had an effect on brand loyalty, and discrimination had an effect on brand satisfaction. Third, brand charisma had an effect on brand loyalty and satisfaction. specially switching cost had not meaning on all hypothesis by reason of do not fully understand meaning of switching barrier. Summary and strategy implication will be mention in conclusion.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.170-183
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• 2020

This study sought to investigate the relationship between emotional labor and commitment to organization of flight attendants as a way to identify solutions for service quality issues attributed to reduced commitment. It was also intended to determine the relational routes in terms of the effects of social support as a supplementary factor in reduced air service quality. A survey was conducted from January 2020 for about one month and a total of 426 copies were used in the final analysis. SPSS 23.0 and AMOS 23.0 statistical programs were used for the data analysis. The results are as follows. First, the emotional labor of flight attendants showed a negative impact on the social support including support from peers, families, and team leaders. Second, support from peers and team leaders had a positive impact on commitment to organization. Third, the emotional labor of flight attendants showed a negative impact on their commitment to organization. Fourth, support from peers and team leaders were found to have a mediated effect on the relationship between emotional labor and commitment to organization.

• Journal of Science of Art and Design
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• v.11
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• pp.51-78
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• 2007

Entertainment Industry is a high value-added business and its market includes the whole world. With high-tech industry, it is said that entertainment industry strengthen country's competitiveness, and the Korean government is trying to find a way to develop the animation industry. Some domestic feature animations were made, but they failed to get sufficient audiences. Meanwhile, Shrek 2, made by PDI, has earned about 92,000,000,000$ through just theatrical revenue. The reason is that domestic animations are not exciting. Contents should have amusement in it. The humor is the most important thing to make fun. So this thesis suggest to analyse Humor Types in animations. It is based on several theories about Humor. The types of humor defined by the previous studies are summarized into (1) humor, (2) wit, (3) satire and (4) irony. I categorize the productive methods of visual humor into (1) visual pun, (2) visual parody and (3) visual paradox adopting Henri Bergson's theory of the production methods of humor. And I comment on humorous scenes of Shrek in points of design basic elements, such as (1) visual elements, (2) relational elements and (3) practical elements. And I classify humor responses into the incongruity theory, the superiority theory, and relief theory. Therefore this study suggest a reasoned method to categorize the humor types effectively for producing or analyzing various types of humor effects in animation fields.

• Journal of KIISE:Databases
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• v.35 no.3
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• pp.231-242
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• 2008

W3C has selected OWL as a standard for Web ontology description and a necessity of research on storage models that can store OWL ontologies effectively has been issued. Until now, relational model-based storage systems such as Jena, Sesame, and DLDB, have been developed, but there still remain several issues. Especially, they lead inefficient query processing performance. The structural problems of their low query processing performance are as follow: Jena has a simple structure which is not normalized and also stores most information in a single table. It exponentially decreases the performance because of comparison with unnecessary information for processing queries requiring join operations as well as simple search. The structures of storages(e.g., Sesame) have been completely normalized. Therefore it executes many join operations for query processing. The storages require many join operations to find simply a specific class. This paper proposes a storage model to resolve the problems that the query processing performance is decreased because of non-normalization or complete normalization of the existing storages. To achieve this goal, we analyze the problems of existing storage models as well as relations of OWL elements and query patterns. The proposed model, defined with the analysis results, provides an optimal normalized structure to minimize join operations or unnecessary information comparison. For the experiment of query processing performance, a LUBM data sets are used and query patterns are defined considering search targets and their hierarchical relations. In addition, this paper conducts experiments on correctness and completeness of query results to verify data loss of the proposed model, and the results are described. With the comparative evaluation results, our proposal showed a better performance than the existing storage models.

• Knowledge Management Research
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• v.17 no.4
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• pp.27-56
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• 2016

Korean traditional markets have been struggling of late as big-sized superstores and SSM(Super Supermarkets) are thriving in the market. They have therefore upgraded their facilities and undertaken management modernization actively to overcome the threat to traditional markets and ensure their competitiveness; however, the effect does not appear to be verifiable. The purpose of this study is to analyze the impact of the organizational characteristics of the traditional market merchant association on social capital and organizational performance. In other words, this paper investigates a merchant association's organizational characteristics in terms of the modernization of business activities of the traditional markets and the influence on their social capital and organizational performance. This study analyzes the traditional market by evaluating the impact of these factors. This study consists of four hypotheses: The first hypothesis relates to the causal relationship between the characteristics of a merchant association and social capital. The second and third hypotheses, respectively, relate to the causal relationships between the social capital of a merchant association and the merchant's satisfaction and that between the social capital of a merchant association and organizational commitment. The last hypothesis relates to the relationship between the organizational commitment of a merchant association and the merchant's satisfaction. This study conducts a reliability and validity analysis of the above factors and analyzes the causal relationships between them by using the PLS(Partial Least Squares) path model as one of the structural equation models. The results of the empirical analysis are summarized as follows: First, the organizational characteristics of the traditional market merchant association have a significant influence on social capital. However, only two sub-hypotheses are not significant; these insignificant hypotheses relate to the relationship between a merchant's entrepreneurship and structural capital and that between a merchant's entrepreneurship and cognitive capital. Second, the social capital of a merchant association influences organizational commitment significantly. Third, the relationship between the social capital of a merchant association and the merchant's satisfaction is mostly significant. However, one of the sub-hypotheses, that is, the relationship between relational capital and a merchant's satisfaction is not exceptionally significant. Lastly, the organizational commitment of a merchant association affect the merchant's satisfaction significantly. Through our extensive study, this paper found that a merchant association's organizational characteristics of the traditional market significantly affect social capital, organizational commitment, and satisfaction through the mediation of social capital. Therefore, in order to activate the key traditional market, an understanding of organizational characteristics and social capital is primarily required. Systematic management and investment pertaining to these two factors will be the first consideration for revitalizing traditional markets.

• Korean Security Journal
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• no.49
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• pp.97-129
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• 2016

This study is empirically intended to look into the effects of security martial arts leader's leadership behaviors on their role perception and coaching confidence, and the mediating effects of their role perception in the relationship between their leadership behaviors and their coaching confidence. To achieve this, a survey was carried out to incumbent security martial arts leaders. The questionnaires were used for data analysis. The correlation analysis prior to a test of research hypothesis showed that there was a significant positive relationship between all potential factors(< p.01). Especially, there was a high relationship between psychological coaching confidence, human relational coaching confidence, exercise coaching, exercise prescription, and volunteer activities. The detailed results of hypothesis verification were as follows: First, hypothesis 1 showed that leadership behaviors had a significant positive effect on role perception, supporting hypothesis 1. Second, hypothesis 2 showed that role perception had a significant positive effect on coaching confidence, supporting hypothesis 2. Third, hypothesis 3 showed that leadership behaviors had a significant positive effect on coaching confidence, supporting hypothesis 3. Fourth, hypothesis 4 showed that role perception was partially mediated in the effects of leadership behaviors on coaching confidence, supporting hypothesis 4. The findings suggest that the effects of security martial arts leader's leadership behaviors on their coaching confidence can be maximized in combination with their role perception.

• Journal of Global Scholars of Marketing Science
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• v.13
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• pp.159-181
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• 2004

The purposes of this study are following. First, we want to review the relationship between trust and precedent variables including shared value, communication and opportunistic behavior in the on-line and off-line channel. Second, building the relationship among variables from previous research, we develop the research model. Third, based on the empirical analysis, we want to build the relationship among variables. Fourth, based on results of analysis, we want to elicit implications for marketing management from the trust in on-line channel in order to enhance the relationship commitment and customer loyalty. Theoretical implications of this study are following. First, under the multiple channel retailing environment, trust in on-line channel is influenced by the trust in off-line channel that the company is operating. Previous researches couldn't found this result because these researches divided on-line and off-line channel separatedly, Second, under the multiple channel retailing environment, on-line or off-line relational attributes including shared value, opportunistic behavior and communication have a effect on trust or relationship commitment So, shared value, opportunistic behavior and communication are very important variables having a effect on trust and relationship commitment in not only off-line channel but also on-line channel. Third, trust and relationship commitment were important mediate variables in multiple channel environment. This result goes with previous researches in single channel.

• Communications of Mathematical Education
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• v.31 no.4
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• pp.433-456
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• 2017

The purpose of this study is to suggest the directions for the development and improvement of mathematics textbooks in Korea by examining these characteristics of German textbooks. As a result, German mathematics textbooks were free for unit order and names of units. German mathematics textbooks defined a function for various real life and natural phenomena, relation after intuitively knowing the correspondence between two variables through a graph. In addition, it exercises interpreting the characteristics and information of the graph, guides the activity of graphing various functional situations, and contents to convert various expression methods such as graphs, tables, relational expressions, mathematical terms and sentences. In the German mathematics textbooks, mathematical expressions of the functional relations of the materials in various contexts of daily life, and the activities of predicting and predicting the future, were made to feel the usefulness of mathematics. It has raised functional thinking and provided problems related to other subjects, thus enhancing connectivity with other disciplines. It also included open issues and issues that required mathematical communication.