• Journal of the Korea Society of Computer and Information
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• v.27 no.7
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• pp.137-144
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• 2022

This study is an empirical study on whether the interval of K-pop content updates and price changes consumer purchasing intentions for domestic fandom commerce platforms that turn their profit structure online and strengthen fandom-based marketing to cope with changes in the digital environment. FGI and a survey was conducted using a conjoint analysis designed to confirm the difference in price elasticity according to the content update interval. As a result, the price elasticity of K-pop content was found to be an inelastic characteristic, and the change in price elasticity according to the content update interval was not statistically significant. This study provides basic data to be used to establish a marketing strategy for the fandom commerce market that will grow in the future.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.2
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• pp.59-72
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• 2022

The online fashion market in the 21st century has shown rapid growth. Against this backdrop, using consumer activity data to provide customized customer services has emerged as a viable business model that draws attention. Algorithm-based personalized recommendation services are a good example. But their application in fashion products has clear limitations. It is not easy to identify consumers' perceptions of the attributes of fashion, which are various, hard to define, and very sensitive to trends. So there is a need to compile data on consumers' underlying awareness and to carry out defined research to increase the utilization of such services in the fashion industry and further engage consumers. This research aims to classify the attributes and types of fashion products and to identify consumers' perceptions of a given situation where a recommendation service is offered. To find out consumers' perceptions of and satisfaction with recommendation services, an online and mobile survey was conducted on women in their 20s and 30s, a group that uses recommendation services frequently. A total of 455 responses were used for analysis. SPSS 28.0 was used, combined with Conjoint Analysis and multiple regression, to analyze data. The study results could provide insights into a better understanding of recommendation services and be used as basic data for companies to identify consumers' preferences and draw up a detailed strategy for market segmentation.

• Journal of Navigation and Port Research
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• v.28 no.1
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• pp.59-67
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• 2004

As the environment for international logistics varies according to the globalization in world economy, world-class seaports are struggling for the position as strongholds in their own block. As a new government begins its own era in Korea, they are positively implementing their strategies at the level of government for making the Korean Peninsula the logistics centre in North-eastern Asia, marking the most of its geographic advantage. As one of those strategies, it plans to foster a specific area as an international logistics base camp in Northeast Asia by activating its logistics industry through inducing multinational logistics enterprises. In reality, however, in order for Busan seaport, the late-comer, to induce investment from the world-class multinational companies, a considerably large volume of investment should be given from both central and local governments. Accordingly, the objective of this study is to assess its competitiveness and to suggest an activation plan for BSDFA(Busan Seaport Duty-Free Area), based upon the results of on-the-spot interviews in China and Japan. The survey for the respondent's preference by way of Conjoint Analysis indicated that Investment procedures and limitations get the highest 36.2％ preference, so the most critical strategy to be considered for attracting enterprises into DFA(Duty-Free Area) is to solve the problems related to the investment procedures and limitations. The simulation analysis results for market share showed that UAE has the highest preference and BSDFA the lowest preference among the five countries. However, when the levels of investment procedures and limitations and production costare upgraded, the competitiveness of BSDFA was elevated next to that of UAE among the 5 countries. Thus, in order for BSDFA to obtain competitiveness, it is implied that production cost level as well as investment procedures and limitations level, should be lowered so that it could meet companies' demand.

• Journal of the Korean Institute of Landscape Architecture
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• v.34 no.6 s.119
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• pp.66-77
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• 2007

This study intends to analyze urban peoples' leisure choice attributes of rural areas from a rural demand perspective. For this purpose, this study investigates regional attributes considered in decision making processes for rural tourism destinations of urban residents using a conjoint model as a stated preference model. Based on literature reviews, two questionnaire surveys were conducted. The first questionnaire survey was performed in 4 cities including Seoul, Daejeon, Suwon and Chuncheon with 408 urban residents. The Second questionnaire survey was performed in 5 cities including Seoul, Chuncheon, Daejeon, Jeonju and Busan with about 1,060 urban residents. The study results suggest that the most important attribute in selecting rural ares for tourism are activity programs and convenience of facility, according to part-worth and vector model. The fitness level of model is 0.986, which is very significant. Among the 5 attribute's levels, the rural residents' kindness, the traditional and the ecological programs and the facilities about sign and lodging are more critical factors than other levels. Utilities of each levels decreases as cost and arrival time increases. Regarding the result of market segmentations, respondents having intention to visit can be divided into 4 group; (1) facility or program oriented type, (2) resident's kindness oriented type, (3) arrival time oriented type, and (4) negatively participant type. The results of leisure choice attributes can provide insightful information for regional planning strategies, such as selection of the type of market segments and the key factor of facility and space planning.

• The Korean Journal of Applied Statistics
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• v.23 no.5
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• pp.967-975
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• 2010

Since the least squares estimation is not appropriate when multicollinearity exists among the regressors of the linear regression model, the principal components regression is used to deal with the multicollinearity problem. This article suggests a new procedure for the selection of suitable principal components. The procedure is based on the condition index instead of the eigenvalue. The principal components corresponding to the indices are removed from the model if any condition indices are larger than the upper limit of the cutoff value. On the other hand, the corresponding principal components are included if any condition indices are smaller than the lower limit. The forward inclusion method is employed to select proper principal components if any condition indices are between the upper limit and the lower limit. The limits are obtained from the linear model which is constructed on the basis of the conjoint analysis. The procedure is evaluated by Monte Carlo simulation in terms of the mean square error of estimator. The simulation results indicate that the proposed procedure is superior to the existing methods.

• The Korean Journal of Applied Statistics
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• v.22 no.3
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• pp.531-539
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• 2009

Logistic regression is widely used as a datamining technique for the customer relationship management. The maximum likelihood estimator has highly inflated variance when multicollinearity exists among the regressors, and it is not robust against outliers. Thus we propose the robust principal components logistic regression to deal with both multicollinearity and outlier problem. A procedure is suggested for the selection of principal components, which is based on the condition index. When a condition index is larger than the cutoff value obtained from the model constructed on the basis of the conjoint analysis, the corresponding principal component is removed from the logistic model. In addition, we employ an algorithm for the robust estimation, which strives to dampen the effect of outliers by applying the appropriate weights and factors to the leverage points and vertical outliers identified by the V-mask type criterion. The Monte Carlo simulation results indicate that the proposed procedure yields higher rate of correct classification than the existing method.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.192-201
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• 2020

This study commercialization of 5G will enable transformation of university education. This study identifies five attributes (device type, learning place, learning content, learning field and expense payment) and corresponding levels to study the impact of 5G in the future of university education. The attributes and the levels are then combined into few 5G education service alternatives for respondents to rank. 102 students ranked the alternatives based on their preferences and intent to use. Results indicate that the intent to use 5G-based education service was high with 86% and the most important factor was expense payment (37%), followed by learning field (26%), learning content (24%), device type (8%) and learning place (5%). Specifically, students preferred smart device, practical and experiential content, ubiquitous (no limitation of space and time) learning, practical education and free rate when adopting 5G-based education service. These will provide implications to accelerate adoption of and exploitation of 5G for innovating university education.

• Journal of Global Scholars of Marketing Science
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• v.16 no.2
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• pp.77-94
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• 2006

The purpose of this study was to identify the consumers who use the level of price as the indicator of the product quality and calibrate the price response function with price-dependent quality evaluation. In order to implement the purpose of this study, Home theater market in China had been segmented by the mixture regression model, and price response function was calibrated at segment level. Based on the types of price response function, segments were allocated into one of two groups; the group using the level of price as the quality indicator or the group not using the level of price as that. Then, characteristics of both groups were compared in terms of product attributes and demographic variables.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.1
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• pp.115-123
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• 2015

As LTE service and smartphone are emerging as the mainstream of mobile communications market, the value and importance of mobile data service has been further increased. MNO(mobile network operator)s already recognized the data service as essential market needs, and have appealed to consumers based on various satisfaction elements of data service such as faster transmission speed, expended data volume provided as default, and introduction of unlimited plan. So, in the smartphone market where has been mature, investigating what service attributes affect users' selection of data service is very meaningful from the perspectives of both the industry and the academic. Under this background, this study explores determinants influencing consumer's choice for mobile data service and analyzes relative importance of the attributes among different type of users. The findings of this study makes us extend our understanding of consumer characteristics and their service needs in data service centric era, and it provides some implications for establishing telecommunications policies and business strategies.

• Korean small business review
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• v.43 no.1
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• pp.35-50
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• 2021

The youth job problem is becoming more serious due to COVID-19. To solve this problem, a "good job platform" was proposed that allows young job seekers to easily and conveniently find excellent SMEs they want to work for. This study developed a "good job self-assessment model" that grasps the preferred jobs of young job seekers and evaluates SMEs and applied them in the platform. In this process, the characteristics of good jobs from the viewpoint of job seekers were identified through conjoint analysis from the viewpoint of salary level, performance compensation, working environment, corporate soundness, and organizational culture. Next, the importance of 13 detailed evaluation items was reflected through AHP for industry, academia, and research experts. The self-assessment model of this study can be used as a tool to improve awareness that changes the SME environment into a job favored by young job seekers. As a result, it could provide an opportunity to change the job problem from providing cost-oriented support to a qualitative solution.