• Journal of the Korean Society of Costume
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• v.57 no.8
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• pp.75-88
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• 2007

Nowadays, geometrical form expressed on costume is recognizing as a part of modeling art, at the same time is working to develop it. Also the geometrical form is affording the coinciding lifestyle and sensitivity of customers keeping their pace. As a result, our study is researching on the geometrical form that is used in the pattern, silhouette, and detail of the costume to show the texture in sense of touch and the effect of optical illusion used in variable designs, in order to present the expansion our capability of infinite development included in the study of costume. Specially, geometrical form included in sports wear is very effective since the geometrical form includes short and simple beauty as well as practical design. Thus, this study is wishing to know if satisfying the practical and psychological urge of present human beings may be applied to the golf wear market, which is a type of sport that geometrical form is sent in the fastest way in domestic market. Also we are urged to know what type of design technique is the geometrical form nowadays used and changed to discriminate the artificial commerce and improve the identity of such unique brand. The source of this thesis is wishing to investigate the specialization and the most effective geometrical shape and preference of each type in domestic golf wear goods that applied geometrical goods in $2002{\sim}2006$ and analyze its way of expression.

• The Journal of Industrial Distribution & Business
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• v.12 no.1
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• pp.15-30
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• 2021

Purpose: Year of 2020, COVID-19 has been changing the people's everyday life to ways never been thought of before all over the world. The IT and electronic industry, the methods of supplying goods and services have been changed from contact to un-tact environments based on un-tact systems very rapidly. COVID-19 has been striking the tourism and the travel industry, especially the airline and hotel industry of which services are provided by human. For the passenger service of airliner, automation has been propelled and un-tact style of service has become mainstreams except cabin service since 2000's. For passenger transportation, due to traffic regulations and exclusions etc., switching to new ways is not easy. However, under the new environment made by COVID-19, kiosk check-in, web check-in and mobile check-in has become more important. In this study, the characteristics of airline customers using mobile goods are investigated to find ways to raise the rate of utilizing mobile check-in and to increase the efficiency of boarding process. Research design, data, and methodology: Considering the COVID-19 environment, survey was done by online research company. The research model is designed to integrate the user characteristics and usage/purchase motive and technology acceptance theory. Especially considering infectious diseases prevention, concern of safety is adopted as one of the usage motive variable. Results: Extraversion or conscientiousness characteristics prefers counter check-in(contact service), while openness characteristics prefers mobile check-in(un-tact service). Concern of safety for infectious disease shows strong non-preference on counter check-in. Conclusions: Regarding service type regardless of type of the industry, automation and un-tact have been mainstreams due to high costs of labor, efficiency and standardization issue, etc., and COVID-19 has given impetus to them. For airliner, un-tact service including boarding process service has been more and more important. To raise the rate of un-tact service use, the characteristics of the user should be analyzed first. The study results indicate that for extraversion or conscientiousness, some kinds of methods to induce them to use un-tact service more are needed.

• Journal of Venture Innovation
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• v.4 no.3
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• pp.109-124
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• 2021

This study intends to find out the influence of a consumer's shopping style on impulse buying mediated by sales promotion, based on low-cost cosmetic goods. For the study, pleasure, economical, and convenience shopping styles were set as the independent variables, and impulse buying was set as the dependent variable, and as the mediating variable between the two, sales promotions such as price discount event, free giveaway event, and visit-inducing activity were reviewed. Accordingly, the influence relation of shopping style, sales promotion, and impulse buying were reviewed with hierarchical regression analysis to examine the mutual influence relation. The data for this study employed a structured questionnaire, and 230 copies were collected against men and women in their 20s-30s, who are the main consumers of low-cost cosmetic goods, and 197 faithful responses were analyzed, and the major findings from the analysis results are as follows. First, pleasure-style consumers were found to have influenced impulse buying, while economical-style consumers were found to have a negative influence, and convenience-style was found to have no significant relation. Second, as for the examination of the mediating effect of sales promotion, price discount event, free giveaway event, and visit-inducing activity were found to have a partial mediating effect on the influence of pleasure shopping style on impulse buying, and did not fulfill the economical shopping style mediating effect condition. Also, as convenience shopping style was found to be insignificant towards impulse buying, it was excluded from the mediating effect. Such result is thought to be a useful elementary material for establishing a sales promotion strategy according to shopping styles through the analysis of styles of major consumers in order to increase the sales of businesses. The theoretical and pragmatic implications of such study results were discussed and the future study directions were suggested.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.69-88
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• 2022

One of the characteristics of South Korea's economic structure is that it is highly dependent on exports. Thus, many businesses are closely related to the global economy and diplomatic situation. In addition, small and medium-sized enterprises(SMEs) specialized in exporting are struggling due to the spread of COVID-19. Therefore, this study aimed to develop a model to forecast exports for next year to support SMEs' export strategy and decision making. Also, this study proposed a strategy to recommend promising export countries of each item based on the forecasting model. We analyzed important variables used in previous studies such as country-specific, item-specific, and macro-economic variables and collected those variables to train our prediction model. Next, through the exploratory data analysis(EDA) it was found that exports, which is a target variable, have a highly skewed distribution. To deal with this issue and improve predictive performance, we suggest a separated learning method. In a separated learning method, the whole dataset is divided into homogeneous subgroups and a prediction algorithm is applied to each group. Thus, characteristics of each group can be more precisely trained using different input variables and algorithms. In this study, we divided the dataset into five subgroups based on the exports to decrease skewness of the target variable. After the separation, we found that each group has different characteristics in countries and goods. For example, In Group 1, most of the exporting countries are developing countries and the majority of exporting goods are low value products such as glass and prints. On the other hand, major exporting countries of South Korea such as China, USA, and Vietnam are included in Group 4 and Group 5 and most exporting goods in these groups are high value products. Then we used LightGBM(LGBM) and Exponential Moving Average(EMA) for prediction. Considering the characteristics of each group, models were built using LGBM for Group 1 to 4 and EMA for Group 5. To evaluate the performance of the model, we compare different model structures and algorithms. As a result, it was found that the separated learning model had best performance compared to other models. After the model was built, we also provided variable importance of each group using SHAP-value to add explainability of our model. Based on the prediction model, we proposed a second-stage recommendation strategy for potential export countries. In the first phase, BCG matrix was used to find Star and Question Mark markets that are expected to grow rapidly. In the second phase, we calculated scores for each country and recommendations were made according to ranking. Using this recommendation framework, potential export countries were selected and information about those countries for each item was presented. There are several implications of this study. First of all, most of the preceding studies have conducted research on the specific situation or country. However, this study use various variables and develops a machine learning model for a wide range of countries and items. Second, as to our knowledge, it is the first attempt to adopt a separated learning method for exports prediction. By separating the dataset into 5 homogeneous subgroups, we could enhance the predictive performance of the model. Also, more detailed explanation of models by group is provided using SHAP values. Lastly, this study has several practical implications. There are some platforms which serve trade information including KOTRA, but most of them are based on past data. Therefore, it is not easy for companies to predict future trends. By utilizing the model and recommendation strategy in this research, trade related services in each platform can be improved so that companies including SMEs can fully utilize the service when making strategies and decisions for exports.

• 한국벤처창업학회:학술대회논문집
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• 2007.04a
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• pp.203-226
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• 2007

The purpose of this research is to analyze the impact of business scope and technological innovation capability(TIC) on firm performance in SMEs. Among the 1,077 SME sample data collected with the help of Korean Industrial Complex Corporation, 228 sample data from capital goods sectors had been selected and analyzed. Several mutiple regression models were developed to test the main and the interaction effects of two independent variables business scope and TIC on SME performance. The empirical analysis show that the number of product lines, one of the two scope variable measured, is positively correlated with the return on sales(ROS). Among the variable of TIC, the number of intellectual property rights(IPRs) is positively correlated with the sales growth rates of SMEs, which the ratio of engineers to total employees is positively correlated with the ROS of SMEs. The results also delineated some interaction effects of business scope and TIC on SME performance. There exists a positive interaction effect of the ratio of engineers to total employees and the number of product lines both on ROS and scales growth rate. The interaction of the number of customers and the number of IPRs positively effects on ROS, and also the interaction of the number of product lines and the number of IPRs are positively related with ROS. Findings of this research indicates that it is necessary for SMEs in capital goods sectors to accumulate technological innovation capability and to expand business scope to improve firm performance. Furthermore, the accumulation of internal TIC should accommodate with the expansion of business scope to gain an improved performance. Particularly, adequate technological innovation capability is required to address the need of expanded customers when enlarging the scope of customers.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.377-389
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• 2019

This study conducted social network big data analysis to investigate consumer's perception of Japanese sporting goods related to Japanese boycott and to extract problems and variables by recognition. Social network big data analysis was conducted in two areas, "Japanese boycott" and "Japanese sporting goods". Months of data were collected and investigated. If you specify the research method, you will identify the issues of the times - keyword setting using social network analysis - clustering using CONCOR analysis using TEXTOM and Ucinet 6 programs - variable selection through expert meetings - questionnaire preparation and answering - and validity of questionnaire Reliability Verification - It consists of hypothesis verification using the structural model equation. Based on the results of using the big data of social networks, four variables of relevant characteristics, nationality, attitude, and consumption behavior were extracted. A total of 30 questions and 292 questionnaires were used for final hypothesis verification. As a result of the analysis, first, the boycott-related characteristics showed a positive relationship with nationality. Specifically, all of the characteristics related to boycotts (necessary boycott, sense of boycott, and perceived boycott benefits were positively related to nationality. In addition, nationality was found to have a positive relationship with consumption behavior.

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.6
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• pp.87-96
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• 2014

Since markup is defined as price over marginal cost by Hall(1988), the New Keynesians have intensively applied its definition in elucidating the relationship between market structure and business cycle. In lots of literatures markups proved to be counter cyclical empirically and theoretically. At the same time many studies analysed the determinants for markup in relation with business cycles. This paper establishes the markup equation based on the constant returns to scale production function including intermediate goods with technology being assumed to be AR(1) process and estimates the industrial markups in the Korean 5 service industries over the period 1975:1-2010:4. The paper also analyzed the markup determinants using the autoregressive distributed lag scheme ADL(1,1) in which the dependent variable and the single explanatory variable are each lagged once.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.710-723
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• 2022

TV program favorability does not necessarily lead to actions related to programs such as producing videos, emotions, webtoons, and goods, participating in concerts, and fan meetings. Therefore, there might be a mediating variable between program favorability and related behaviors. This study presents relationships as a mediating variable. This study assumed that if the program favorability is high, a positive relationship can be formed with the program, the characters on the show, the groups appearing in the program, the viewers who watch it together, and viewing affordance. Those formed relations can have positive effects on the program related activities. In the conducted online survey, we found that high favorability has positive effects on intimate relationships with the program, viewing affordance, characters, and other viewers, and these relationships have positive effects on program-related offline and online activities. However, the relationship with the character group has a negative effect on program-related behavior. This may be the result of viewers feeling alienated from highly intimate relationships formed among characters appearing in the show.

• Journal of Korea Trade
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• v.27 no.4
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• pp.45-60
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• 2023

Purpose - This research focused on women who enjoy watching Korean dramas and K-pop, as well as how their desire to imitate are influenced by their viewing habits. Due to the influence of their idols, women who aspire to copy and are influenced by their idols will desire to purchase Korean products. This cultural export strategy has effectively persuaded the global community, particularly women. Indonesia with a large population can be a reference for the industry to increase sales of South Korean beauty products, especially in the ASEAN region. Design/methodology - This research used a quantitative approach with an online questionnaire. This questionnaire had two steps: the pre-questionnaire and the questionnaire itself. The different measuring tools that were already in use when the data were being collected helped to determine how much each variable meant. As a part of this research project, 410 Indonesian women filled out the questionnaire in order to share their thoughts as they were the focus of the study. SMART PLS was used to analyze the data. Findings - One of the most essential findings from establishing the Korean Wave effect on purchase intention was the imitation intention variable. Someone who has the aspiration to be just like their idol will be willing to give anything in order to achieve that goal. One strategy is to buy things that are similar to the ones you want to imitate in order to stimulate demand for Korean products. People's imitation intention and attitude toward Korean products will increase as a result of Korean drama and K-pop elements that display one's idols with fashionable appearances and good-looking faces, which will lead to purchase intentions. Originality/value - The Korean Wave has had a beneficial impact on the intention to imitate and the attitude toward Korean items, both of which will favorably boost the intention to acquire Korean goods. In order to boost sales in international markets, particularly in Indonesia, the Korean business sector needs to increase the number of artists and singers it employs for product promotion. . Mutualism effect between the government, the entertainment industry, and the beauty product industry to increase sales of South Korean beauty products.

• Journal of Distribution Science
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• v.12 no.10
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• pp.99-108
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• 2014

Purpose - The goals of this study are the following. First, this study focused on customer satisfaction of in-flight service. Specifically, in-flight duty free items were considered because of their potential value related with the differentiated strategy of airline companies. Second, this study analyzed feasible strategies that would fence off the aversive attitudes of consumers toward innovation regarding in-flight duty free items. Third, this study strived to discover implicit routes related with the reactions of of consumers to innovation. Fourth, the construal level theory was applied to the context of in-flight service. Psychological distance is expected to promote acceptance of innovation for duty free items. Research design, data, and methodology - This study consisted of three experiments. All data were collected through the participation of university students. First, the experiment employed a 2×2 between-subject design. The first independent variable was temporal distance (long vs. short of navigation time). The second independent variable was innovativeness (innovative duty free items vs. typical items). Further, experiment 2 involved a 2×2 between-subject design. The first independent variable was social distance (typical vs. atypical stewardess image). The second was innovativeness that was based on a pattern similar to that of the prior experiment. The third experiment involved a 2×2×2 design. The first and second independent variables were temporal distance and item innovation, respectively, based on the method of experiment 1. The third independent variable was cognitive depletion (depletion vs. control condition). Results - Experiment 1 demonstrated that the innovation of duty free items would need to consider the journey time of the airline. Specifically, innovative items were preferred in case of a long journey; typical items, however, were liked in a short journey. Further, experiment 2 demonstrated that, in spite of a short journey, innovative items would be preferred if an atypical stewardess was serving. An atypical stewardess was linked with social distance, and the psychological effects would activate a creative and flexible mindset that would fit with innovative duty free items. The final experiment was accomplished for the examination of cognitive processing of psychological distance on innovation-acceptance. Specifically, if the effects were related with systematic processing, then cognitive effort would be needed. In contrast, if they were related with heuristic processing, then such efforts would not be required. The same pattern appeared under both cognitive depletion and control condition; therefore, the effects of psychological distance were implied to be heuristic processing. Conclusions - Managers need to consider the navigation time, stewardess concepts, and depletion of consumers as important factors for innovative strategy regarding in-flight service. Longer journeys are more successful for innovative trials. Further, a more atypical stewardess image is more successful for atypical service. Long navigation and unfamiliar stewardesses may activate creative and flexible thinking. Further, cognitive depletion of consumers is not a dominant factor of psychological distance effects, because the effects are not related with systematic processing, but with heuristic processing.