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Vol.18 No.1

YOON, Sang-Hyeon ; SONG, Sang-Yeon ; KANG, Myung-Soo pp.5-13 https://doi.org/https://doi.org/10.15722/jds.18.1.202001.5
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Purpose: The purpose of this study is to examine the growth and change process of Korean cosmetic market that has grown more than three times since 2000. It also examined how the growth and decline of the cosmetics brands are related to the change of the cosmetic distribution structure. Research methodology: This study tried to classify the change of the Korean cosmetics market into four stages based on the market sales information. It analyzed the sales information of Korean cosmetic companies and the relationship with the sales of the brands by distribution channel. Results: One-brand store channel had played a leading role in the market growth, and multi-brand stores have grown and a number of brands also grew through that channel since 2013. Since 2016, multi-brand stores have continued to grow and have dominated the market beyond one-brand store channel. Conclusions: The changes in sales of domestic cosmetics companies have been classified based on the distribution channel type in four stages: the emergence of one-brand store, the growth of one-brand store channel, the growth of multi-brand store channel, and the decline of one-brand store channel. In conclusion, multi-brand store channels have recently grown in the Korean cosmetics market, and this trend is expected to continue.

CHANG, Mona ; XING, Yuan Yuan ; ZHANG, Qi Yue ; HAN, Sang-Jin ; KIM, Mincheol pp.15-26 https://doi.org/https://doi.org/10.15722/jds.18.1.202001.15
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Purpose: This study is to analyze the image classification using Convolution Neural Network and Transfer Learning for Jeju Island and to suggest related implications. As the biggest tourist destination in Korea, Jeju Island encounters environmental issues frequently caused by marine debris along the seaside. The ever-increasing volume of plastic waste requires multidirectional management and protection. Research design, data and methodology: In this study, the deep learning CNN algorithm was used to train a number of images from Jeju clean and polluted beaches. In the process of validating and testing pre-processed images, we attempted to explore their applicability to coastal tourism applications through probabilities of classifying images and predicting clean shores. Results: We transformed and augmented 194 small image dataset into 3,880 image data. The results of the pre-trained test set were 85%, 70% and 86%, and then its accuracy has increased through the process. We finally obtained a rapid convergence of 97.73% and 100% (20/20) in the actual training and validation sets. Conclusions: The tested algorithms are expected to implement in applications for tourism service distribution aimed at reducing coastal waste or in CCTVs as a detector or indicator for residents and tourists to protect clean beaches on Jeju Island.

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Purpose : In the aviation industry, we will investigate the impact of users' acceptance of technology on their usage behavior and find out the factors that affect their acceptance of technology. We will expand the prior study to find out the impact of the self-service technology of Incheon Airport. Research design, data and methodology : Within the last six months, the survey was conducted on people using self-service technology at Incheon International Airport from July to August 2019. Part 307 of the valid questionnaires were used for this final analysis. The collected data were used to perform frequency, factor, reliability, and multiple regression analyses using the SPSS statistical package. Results : Individual aspects of external variables, service aspects and system aspects have been shown to affect usefulness and perceived ease of use. Also, perceived ease-of-use and usefulness have effects on users' intention to accept technology. Conclusions : The perceived easement and perceived usefulness of Incheon International Airport has been shown to affect self-service users. Increasing the user's self-efficiency and increasing the user's expectations for benefits, convenience, rapid processing, and minimal effort will have a positive meaningful effect on the intention of accepting the technology.

WU, Xuan-Wen ; KIM, Moon-Hong pp.35-45 https://doi.org/https://doi.org/10.15722/jds.18.1.202001.35
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Purpose- This study examines the multi-mediation effect of personal self-congruity and social self-congruity to perceived value and brand attitude on aircraft customers in China. Research design, data and methodology- Survey was conducted on Chinese citizens who had flown via Chinese airlines and lived mainly in the Yangtze River delta. 727 cases were analyzed. SPSS 22.0 and AMOS 24.0 were used to analyze the data. Results - First, perceived economic value has a positive impact on personal self-congruity and social self-congruity but has no effect on brand attitude. Second, perceived functional value has a positive impact on personal self-congruity, social self-congruity, and brand attitude. Third, based on this, perceived economic value is not directly related to brand attitude. However, there is a relationship between perceived functional value and brand attitude, with personal self-congruity and social self-congruity having mediation effects. Conclusions - The Results show that perceived economic and functional value such as competitive airfare, mileage membership, check-in processes, diversified vouchers and coupons, and also basic services such as flight security and flight attendant service having an effect on personal self-congruity. To improve consumer brand attitude, airlines should take into consideration personal self-congruity factors such as their values and lifestyles, and their social self-congruity factors such as their social status and social security.

FIRMAN, Ahmad ; MUSTAPA, Zainuddin ; ILYAS, Gunawan Bata ; PUTRA, Aditya Halim Perdana Kusuma pp.47-57 https://doi.org/https://doi.org/10.15722/jds.18.1.202001.47
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Purpose: This study seeks to bridge between the research by Lawrence (1999) and Retegan (1992), where the focus of TQM on his studies rests on customer satisfaction. Whereas in this study trying to recompile TQM by involving the variables Innovation and competitive advantage to stimulate managerial performance improvement where performance measurements include various measurements such as financial performance, marketing performance, and production performance in the property industry. Research design, data, and methodology: Total sample are 105 respondents coming from middle to top level of management in the property sector in Indonesia. To empirically prove the results of this study using multiply regression analysis as a test tool for analysis. Results and Findings: The results of this study confirm that TQM has a positive effect on market competition, innovation, and company performance indirectly. However, it does not have a significant impact if it is directly related to TQM on company performance. In this case, TQM for property companies in Indonesia would not have been possible without the role of innovation and market competition. So that the managerial implications of this study also confirm that TQM is essential and feels obligatory to be implemented optimally.

HONG, Jin-Pyo ; KIM, Bo-Young ; OH, Sung-Ho pp.59-69 https://doi.org/https://doi.org/10.15722/jds.18.1.202001.59
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Purpose: This study aims to examine such relationships as the experiential value that customers respond to with regard to maintenance service by empirically revealing how the quality of auto maintenance and repair service affects both customer satisfaction and intention to reuse the same service through the Perceived-experiential Value of customers. Research design, data and methodology: The research model was designed with service qualities such as human quality, material quality, interaction quality, and system quality as independent variables, perceived-experiential value as a parameter, and service satisfaction and return visit intention as dependent variables. Through a questionnaire composed of 24 items, a total of 319 survey data from customers with the experience of using car maintenance service centers in Korea were collected and analyzed using a structural equation. Results: The material quality did not affect the customers' perceived-experiential value, whereas the interaction quality had the greatest influence. It is confirmed that human quality, interaction quality, and system quality can generate customer satisfaction and repurchase intention through the perceived-experiential value. Conclusions: The experiential value of customers can play an important medium role in improving satisfaction, with customers considering interaction quality important. Therefore, the auto maintenance and repair service should consider relationship-focused service strategies.

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Purpose: Because the energy consumption, economic growth and logistics development are still the heated topics which have attracted many scholars' interests. Therefore, this paper attempts to analyze the effect of logistics development on the economic growth, explore the effect of the economic growth on energy consumption and to discuss the effect of the logistics development on energy intensity. Research design, data and methodology: Using the panel data over the period 2000-2017 of 156 countries and employing the country & year fixed effect model, system generalized method moments and random effect model, the empirical analyses of this propositions are performed. Results: The empirical findings present that the logistics development is positively related to the economic growth. The energy consumption in the t-1 period and economic growth are positively related to the current energy consumption. The logistics development is negatively related to the energy intensity. Meanwhile, the empirical findings also indicate that there is a great difference about these effects among the four sub-samples (low income 18 countries, low middle income 49 countries, upper middle income 44 countries, high income 49 countries). Conclusions: Based on the evidences in this paper provided, we can find that these variables can affect each other.

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Purpose: This study investigates the influence of VMI on the supply chain performance over time. By examining each supply chain member's ongoing performance, this study figures out how VMI allows the vendor to overcome the initial loss and eventually provides the benefit to every supply chain member. Research design, data, and methodology: The proposed mathematical model describes the supply chain system where a manufacturer and a retailer make the operational decisions to maximize their own profits. By using the numerical examples with arbitrary data, VMI and non-VMI are compared in terms of their profit changes over time. Results: The numerical analysis shows that VMI results in greater overall profits for both manufacturer and retailer than non-VMI, while the manufacturer make a loss in the early stage of VMI implementation. This study also examines the impacts of certain conditional factors on the performance of VMI. Conclusions: This study supports the idea that VMI leads to manufacturer's initial loss but it brings greater profits to both manufacturer and retailer than non-VMI after all. In addition, the result of this study provides the managerial implications about the particular condition that allows VMI to achieve a significant financial performance improvement over non-VMI.

CHO, Eunseong ; BYUN, Sookeun pp.95-105 https://doi.org/https://doi.org/10.15722/jds.18.1.202001.95
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Purpose: Will more expensive gifts be more pleasurable and appreciated? This is a general expectation of gift-givers. According to the previous study on Americans (Flynn and Adams 2009), recipients tend to appreciate gifts regardless of their price. It indicates that there is an interaction effect between position (giving / receiving) and gift price. This study expands the previous study and aims to answer the following two questions: "Are such an interaction effect observed in Korean, too?" and "What types of people prefer expensive gifts?" Research design, data, and methodology: Study 1 of the current research repeated the Study 3 of Flynn and Adams (2009), with an iPod (high-priced gift condition) and a music CD (low-priced gift condition). That is, a 2 (gift price: high / low) x 2 (position: giver / receiver) between-group design was used. Study 2 used gift certificates of 100,000 won (high-priced gift condition) and 5,000-won gift (low-priced gift condition). Unlike the previous study that measured only one dependent variable (gratitude), this study added five more dependent variables in an attempt to exclude alternative explanations, such as endowment effects or emotional conflicts. This study also measured individualism / collectivism, face sensitivity, and materialism to explore the types of people who prefer expensive gifts. Results: The interaction effect between gift price and position on the level of appreciation was not significant. Meanwhile the main effect of gift price and of position were significant. The gift-recipient was more appreciative than the gift-givers' expectation regardless of the price of gifts. To investigate individual differences, individualism/collectivism, face sensitivity, and materialism were examined, but none of these variables were significantly related to the preference for expensive gifts. Respondents who received gift certificates in Study 2 were less grateful than those who received iPods or music CDs in Study 1. Conclusions: This study found that Koreans tend to be more grateful if they receive expensive gifts, in contrast to the Flynn and Adams (2009)'s study with Americans. In addition, gift-recipients appreciated more than givers' expectation and were more grateful when they received tangible products rather than gift certificates.

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Purpose: Shared mobility services are the most notable in the shared economy; however, they have yet to be activated in Korea due to various regulations and conflicts amongst stakeholders. Nevertheless, shared mobility has become an irresistible trend of the times, as it can cause a great deal of economic and environmental benefits. In this vein, the purpose of this study is to contribute to the revitalization of shared mobility services in Korea and to provide service providers with implications for developing consumer-oriented marketing strategies. Research design, data and methodology: Based on the reasons that the users do not use shared mobility service, the factors influencing the behaviors of shared mobility users are structured and analyzed in a reliable, technical and procedural manner. To this end, the theory of reasoned action (TRA) of Ajzen and Fisbbein, the initial trust model (ITM), task technology fit (TTF) and switching cost (SC) are adopted. A total of 202 questionnaires were collected from the respondents who were aware of shared mobility. Then statistical processing of the collected data used SmartPLS(v.3.2.8), a PLS-SEM (Partial Least Squares Structural Equation Modeling) analysis program. The steps of the analysis are as follows. First, a PLS-Algorithm analysis was performed to evaluate the measurement model, and a Bootstraping and Blindfolding analysis was performed to evaluate the structural model and verify the hypotheses. Second, a multi-group analysis (PLS-MGA) was conducted to further analyze the differences depending on whether or not users experienced shared mobility service. Results: The results showed that initial trusts model (ITM) and task technology fit (TTF) have positive effects on users' behaviors through the mediation of the intention to use. As opposed to the assumption, switching costs did not have negative moderating effects in relation to the intention to use and users' behaviors. The influence of IT self-efficacy was significant, depending on the prior experience to use shared mobility services. Conclusions: This study will contribute to the revitalization of domestic shared mobility services and the formulation of service providers' marketing strategies. In future studies, there is a need to explore, reconstruct, and validate factors other than the impact factors of the shared mobility services used in this research model.

The Journal of Distribution Science