• Cartoon and Animation Studies
• /
• s.15
• /
• pp.221-235
• /
• 2009

Most of the sounds used in animated films are artificially made. A large number of the sounds used are either actual sound recordings or diversely processed artificial sounds made with professional sound equipments such as synthesizers. One animation episode contains numerous amounts of sounds, resulting in significant sound production costs. These sounds have full potential to be reused in different films or animations, but in reality we fail to do so. This thesis discusses ways these sound sources can be acknowledged as added new values to the present market situation as a usable 'digital content'. The iTunes Music Store is an American Apple company product that is acknowledged as the most successful digital content distribution model at the time being. Its system's sound library has potential for application in the Korean sound industry. In result, this system allows the sound creator to connect directly to the online store and become the initiative content supplier. At the same time, the user can receive a needed content easily at a low price. The most important part in the construction of this system is the search engine, which allows users to search for data in short periods of time. The search engine will have to be made in a new manner that takes into consideration the characteristics of the Korean language. This thesis presents a device incorporating the Wiki System to allow users to search and build their own data bases to share with other users. Using this system as a base, the Korean animation sound library will provide development and growth in the sound source industry as a new digital sound content.

• Culinary science and hospitality research
• /
• v.21 no.6
• /
• pp.264-279
• /
• 2015

This study is conducted to investigate the relationships among service quality, satisfaction, and revisit intention of franchise snack bars customers located in Busan. The quality of franchise Korean snack bars' service was estimated by examining three sub-dimensions: service environment factors, interaction factors, and outcome quality factors, which are classified from Brady & Cronin's third-dimensional model. The survey was performed from March 9th to March 13th in 2015. Total 300 questionnaires were distributed and 272 questionnaires were employed for final analysis. SPSS 21.0 program was used to derive the following: factor analysis, reliability analysis, correlation, simple regression and multiple regression analysis. In results, the approachableness such as convenience for access was the most important reason when people choose a franchise Korean snack bar company followed by food taste and reasonable price. In addition, the results indicate that service environment quality, interaction quality, and outcome quality have all positive impact on the customers' satisfaction as well as revisit intention. Specifically, outcome quality have the greatest influence on the satisfaction and revisit intention among three service quality factors. This outcome proves that Korean snack bar franchise companies need to investigate more to improve their outcome quality such as food quality and serving time to satisfy customers. In conclusion, current study confirmed the relationships among service quality, satisfaction, and revisit intention in context of franchise snack bar stores. These results will suggest the snack bar foodservice segmentation as valuable marketing strategic, and that it can be utilized as a fundamental data to establish an efficient business plan in the industry.

• Management & Information Systems Review
• /
• v.12
• /
• pp.137-160
• /
• 2003

The association between accounting earnings and the stock price of an entity is the subject that has been most heavily researched during the past 25 years in accounting literature. Researcher's common finding is that there are positive relationships between accounting earnings and stock prices. However, the explanatory power of accounting earnings which was measured by $R^2$ of regression functions used was rather low. To be connected with these low results, The prior studies propose that there will be additional information, errors in variables. This study investigates empirically determinants of earnings response coefficients(ERCs), which measure the correlation between earnings and stock prices, using earnings level / change, as the dependent variable in the return/earnings regression. Specifically, the thesis tests whether the factors such as earnings persistence, growth, systematic risk, image, information asymmetry and firm size. specially, the determinable variables of ERC are explained in detail. The image / information asymmetry variables are selected to be connected with additional information stand point, The debt / growth variables are selected to be connected with errors in variables. In this study, The sample of firms, listed in Korean Stock Exchange was drawn from the KIS-DATA and was required to meet the following criteria: (1) Annual accounting earnings were available over the 1986-1999 period on the KIS-FAS to allow computation of variables parameter; (2) sufficient return data for estimation of market model parameters were available on the KIS-SMAT month returns: (3) each firm had a fiscal year ending in December throughout the study period. Implementation of these criteria yielded a sample of 1,141 firm-year observation over the 10-year(1990-1999) period. A conventional regression specification would use stock returns(abnormal returns) as a dependent variable and accounting earnings(unexpected earnings) changes interacted with other factors as independent variables. In this study, I examined the relation between other factors and the RRC by using reverse regression. For an empirical test, eight hypotheses(including six lower-hypotheses) were tested. The results of the performed empirical analysis can be summarized as follows; The first, The relationship between persistence of earnings and ERC have significance of each by itself, this result accord with one of the prior studies. The second, The relationship between growth and ERC have not significance. The third, The relationship between image and ERC have significance of each by itself, but a forecast code doesn't present. This fact shows that image cost does not effect on market management share, is used to prevent market occupancy decrease. The fourth, The relationship between information asymmetry variable and ERC have significance of each by. The fifth, The relationship between systematic risk$(\beta)$ and ERC have not significance. The sixth, The relationship between debt ratio and ERC have significance of each by itself, but a forecast code doesn't present. This fact is judged that it is due to the effect of financial leverage effect and a tendency of interest.

• Korean Journal of Remote Sensing
• /
• v.33 no.5_2
• /
• pp.631-640
• /
• 2017

The estimation of rice yield affects the income of farmers as well as the fields related to agriculture. Moreover, it has an important effect on the government's policy making including the control of supply demand and the price estimation. Thus, it is necessary to build the crop yield estimation model and from the past, many studies utilizing empirical statistical models or artificial neural network algorithms have been conducted through climatic and satellite data. Presently, scientists have achieved successful results with deep learning algorithms in the field of pattern recognition, computer vision, speech recognition, etc. Among deep learning algorithms, the SSAE (Stacked Sparse AutoEncoder) algorithm has been confirmed to be applicable in the field of forecasting through time series data and in this study, SSAE was utilized to estimate the rice yield in South Korea. The climatic and satellite data were used as the input variables and different types of input data were constructed according to the period of rice growth in South Korea. As a result, the combination of the satellite data from May to September and the climatic data using the 16 day average value showed the best performance with showing average annual %RMSE (percent Root Mean Square Error) and region %RMSE of 7.43% and 7.16% that the applicability of the SSAE algorithm could be proved in the field of rice yield estimation.

• International Commerce and Information Review
• /
• v.13 no.3
• /
• pp.77-95
• /
• 2011

This paper investigates the relationship between export and economic variables such as trade insurance, world economy activity, relative price, unemployment rate, exchange rate volatility, using monthly data. I employ Johansen cointegration methodology since the model must be stationary to avoid the spurious results. The results indicate that there is a long-run relationship between export and variables. Also, the empirical analysis of cointegrating vector using the CCR, DOLS, FMOLS reveals that the increases of trade insurance has positive relations and the increases of exchange rate volatility have negative relations with export. Especially, DOLS based on Monte Carlo simulations, of this estimator being superior in small samples compared to a number of alternative estimators, as well as being able not only to accommodate higher orders of integration but also to account for possible simultaneity within regressors of a potential system. This paper also applies impulse-response functions to get the additional information regarding the responses of the export to the shocks of the variables. The result indicates that export positively to trade insurance and then decay fast compare with exchange rate volatility. Consequently, trade insurance plays the role of trade policy for export promotion in Korea. Whereas, increase of exchange risk result in reduction of export. Therefore, the support of trade insurance should be expanded and the stabilization of the foreign exchange market must be done for the export promotion.

• Journal of Distribution Science
• /
• v.14 no.5
• /
• pp.97-106
• /
• 2016

Purpose - Social commerce is a certain way of how people buy some products together with others through the internet sites with mutual interactions among customers with the benefits of SNS when buying some products. At present, China market has some problems due to its rapid growing. However, empirical research or academic approach to social commerce has not been made enough. So, it is important for Chinese social market to develop and enlarge the customers with stability under the reliability and satisfaction. Also it is important for them to have repurchase intention. Nowadays, it is necessary to find the factors on customer satisfaction and trust, whereas consumers' dissatisfaction and unreliability are increasing on social commerce recently. In addition, researches on social commerce have been actively pursued by a variety of domestic and foreign scholars. However, researches on social commerce and Chinese market are short of, and they have some limitations because of the rapid growth of the market even though it is the early stage. The current situation requires researches on consumers' repurchase intention for continuing growth in the future according to the growth of Chinese social commerce. Research design, data, and methodology - The literature and the empirical studies are combined in order to achieve the purpose of the study. Deriving social commerce features and consumer properties as factors affecting the repurchase intention through the literature, and these factors have modeled a series of assumptions about the impact on satisfaction and trust, and have established hypotheses to verify them. The survey which is conducted to test the hypothesis and questionnaires are derived based on the variables discussed in the previous study. Appropriate measures were developed and tested on 227 respondents in China with a cross-sectional questionnaire survey. The path relationships of the research model were analyzed by SPSS 23.0 and Amos 23.0. Results - Research results about social commerce characteristics and factors affecting the repurchase intention are presented to Chinese market companies that adopt business models and consumer characteristics. In addition, this study focuses on the characteristics of social commerce, from two-dimensional characteristics of the consumer satisfaction, trust and the impact on the repurchase. Therefore, social commerce features and consumer properties based on the results of this study may lead the strategic implications that may increase the repurchase intention. Conclusions - The classification reviewing the previous findings related to social commerce and social commerce features affects social commerce repurchase (price discount, interactivity) and consumer characteristics (impulsivity, innovation, collectivism). It affects repurchase on factors and analyzes empirically. The empirical results identify major characteristics (social commerce characteristics, attributes) that affect the repurchase intention, and give the practical implications as well as the business strategies that are able to enhance social commerce repurchase consumers. Social commerce is a certain way of how people buy some products together with others through the internet sites with mutual interactions among customers with the benefits of SNS when buying some products.

• Proceedings of the Korea Contents Association Conference
• /
• 2011.05a
• /
• pp.135-136
• /
• 2011

It is very crucial that small and medium-sized enterprises, called SMEs, should play a pivotal role in creating jobs and contributing to export. Day by day under the influence of the increment globalization of the world market and the rapid changes of business environment, our country has been heavily dependent on export to the foreign countries. Therefore, both enterprises' Marketing Mix such as Product, Price, Place and Promotion and global competitiveness are essential elements to raise the volume of export. The purpose of this research is to find out the relationships between Marketing Mix and Marketing Performance. The considerable number of 338 domestic export SMEs was surveyed to verify the hypothesis and research model through a covariance structure analysis via AMOS 18.0, accompanied by the confirmatory factor analysis to prove suggested potential variables. After the strenuous empirical analysis, the relationship between marketing mix elements and marketing performance, the place and promotion element of 4Ps' Mix proved to have a postive impact on marketing performance. This research focused on Marketing Mix as major elements in marketing performance. Theoretical and practical implications are generated to help both enterprises and policy-makers that cover comprehensive government policies for SMEs.

• Journal of Distribution Science
• /
• v.11 no.2
• /
• pp.35-44
• /
• 2013

Purpose - Until recently, studies on customer values for restaurants recognized two path structures; the SERVQUAL model, that is, service quality? perceived value? customer satisfaction? behavioral intention, and the customer value? customer satisfaction? behavioral intention path that categorizes customer values into functional value and hedonic value. This study, instead, classifies the consumption values of fast-food restaurants based on the consumption value system provided by Sheth, Newman and Gross (1991) and illustrates the new path structure, consumption value? customer satisfaction? behavioral intention, targeting college students for a generalization of the consumption value system of fast-food restaurants. Research design, data, and methodology - This study establishes five hypotheses based on the relationship between each type of consumption value (functional, emotional, social, and epistemic) and customer satisfaction, and the relationship between customer satisfaction and behavioral intention. For this analysis, data was collected by conducting a pre-test and administering a survey to 213 college students who are regular customers at fast-food restaurants in Seoul, Korea. The data collected was then analyzed using SPSS 15.0 and AMOS 6.0 statistical packages. Results - The study showed that: First, the consumption values of fast-food restaurants are classified into the following four categories: functional value, emotional value, social value, and epistemic value while consumption value can be applied to customer value of fast-food restaurants. Second, the functional and epistemic values had a positive impact on customer satisfaction. The resulting satisfaction is attributed to the intrinsic characteristics of fast-food restaurants like the consistent quality of food, reasonable prices, fast service, and unique or new experiences on every visit. On the other hand, emotional and social values did not affect customer satisfaction. The results on emotional value differed from the general studies on restaurants while the results obtained for social value were not consistent with the studies on high-end restaurants. Third, customer satisfaction had a positive impact on behavioral intention. The survey showed that college students reflected behavioral intention - repurchase intention and word-of-mouth - if they were satisfied with the food quality and employee services provided. Simultaneously, it was seen that the impact of functional value on customer satisfaction of fast food restaurant goers was more than that of epistemic value. Conclusions - The consumption values of fast-food restaurant users could be classified into four categories, functional, emotional, social and epistemic values, based on the consumption value system provided by Sheth, Newman and Gross (1991). It proved that the customer values of restaurant goers can be extended to the path structure of consumption value? customer satisfaction? behavioral intention to confirm its generalization. The study also showed that marketing managers need to focus more on the factors that influence functional value as the fast-food restaurant users consider timely services with the consistent quality of food at a reasonable price and at a convenient place more important than the new experiences or uniqueness.

• Journal of Navigation and Port Research
• /
• v.32 no.8
• /
• pp.667-674
• /
• 2008

In this paper, operational problems of Busan Port and competitiveness deciding factors are analyzed by field data research and interview with employees in shipping companies and terminal operation companies. In the analysis, the problems Busan Port currently has are identified as follows: 1) low price competitiveness, 2) Lack of new port back facilities and connecting transportion system 3) Lack of operation ability of container terminal 4) Inefficient pour labor supply system. In order to strengthen the competitiveness and leap up to a hub port in North East Asia, Busan port is investigated to enhance below requirements. 1) Hiring more equipment and increase productivity in terminal 2) Integrating terminal operation companies to react maximization of vessel 3) Maintaining cost advantages 4)Proactively inviting global carriers to participate in the terminal operation 5)Making business environment for Global Terminal Operator to participate in the terminal operation in order to take advantage of their global marketing power.

• Journal of the Economic Geographical Society of Korea
• /
• v.11 no.4
• /
• pp.549-563
• /
• 2008

The purpose of this research is to identify the urban structure in Korea. Though there is research regarding urbanization, there is little regarding the urban structure of the Korean economy. In this paper, two issues will be discussed: the measurements of inter-city and intra-city structure in Korean Metropolitan Statistical Areas (MSAs), which is newly defined. First, the city size rank rule, widely known as Zipf’s Law, will illustrate Korean the inter-city structure. The city size rank rule gives an idea whether Korean MSAs are balanced or not. In general, Korea has a heavy concentration in the Seoul MSA in terms of population. It could be either that the Seoul MSA is too big or that the Busan MSA is too small or both. If this is the primacy problem, a decentralization policy is necessary. On the other hand, if it is a second city problem, development policies for the Busan MSA and Daegu MSA are more important. Next, the Korean intra-city structure will be discussed. The evolutions of the MSAs explain intra-city structure by analyzing population density function and the housing price function. Some large MSAs such as Seoul and Busan have experienced urban sprawl, while other MSAs have experienced urban concentration. The population density gradient by the distance from the ARC GIS shows the growth rate of a city. According to the Spatial Mismatch Index between population and employment, the Ulsan MSA, Gwangju MSA, and Suwon-Hwaseong-Osan MSA are more mismatched, while the Daejeon MSA and Incheon MSA are less mismatched. Therefore, these analyses of Korean urban structure are meaningful in developing regional policy.