• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.1
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• pp.1-14
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• 2022

In the past 10 years, the luxury goods market growth has significantly outpaced other consumer goods categories. Its market value exceeded US $1.2 trillion globally in 2018. In response to this significant consumer demand, the product portfolio of luxury brands has been modified, as several products that previously were exclusive have now released lower-priced versions. This phenomenon is called new luxury. These new luxury products, however, have caused the democratization of the luxury that threatens the exclusivity of luxury brands. In this circumstance, luxury consumers are becoming disillusioned with the vulgarization of luxury goods and prefer exclusive luxury experiences. In order to keep pace with the changes in the luxury consumer needs and promote the brand image with a creative and luxurious connotation, luxury brands are increasingly associating with contemporary art through diverse channels. However, there is a lack of theoretical research investigating the main points to be considered when applying contemporary art to luxury brands and attempting effective brand communication. Therefore, this study aims to provide insights into the key issues for luxury brands when applying contemporary art for effective brand communication. An in-depth case study with the luxury fashion brand, Louis Vuitton, was carried out to better understand contemporary art applications and obtain analytical insights. Through the research, key insights were identified as follows: 1) setting a clear objective for art application based on an in-depth understanding for both the art and the luxury brand, 2) sending harmonized and coherent messages from all perspectives by using a variety of different communication channels, 3) providing a meaningful customer experience by considering the characteristics of contemporary art.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.12
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• pp.4345-4363
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• 2021

Deep Learning as a Service (DLaaS), utilizing the cloud-based deep neural network models to provide customer prediction services, has been widely deployed on mobile cloud computing (MCC). Such services raise privacy concerns since customers need to send private data to untrusted service providers. In this paper, we devote ourselves to building an efficient protocol to classify users' images using the convolutional neural network (CNN) model trained and held by the server, while keeping both parties' data secure. Most previous solutions commonly employ homomorphic encryption schemes based on Ring Learning with Errors (RLWE) hardness or two-party secure computation protocols to achieve it. However, they have limitations on large communication overheads and costs in MCC. To address this issue, we present LeHE4SCNN, a scalable privacy-preserving and communication-efficient framework for CNN-based DLaaS. Firstly, we design a novel low-expansion rate homomorphic encryption scheme with packing and unpacking methods (LeHE). It supports fast homomorphic operations such as vector-matrix multiplication and addition. Then we propose a secure prediction framework for CNN. It employs the LeHE scheme to compute linear layers while exploiting the data shuffling technique to perform non-linear operations. Finally, we implement and evaluate LeHE4SCNN with various CNN models on a real-world dataset. Experimental results demonstrate the effectiveness and superiority of the LeHE4SCNN framework in terms of response time, usage cost, and communication overhead compared to the state-of-the-art methods in the mobile cloud computing environment.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.59 no.1
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• pp.44-54
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• 2023

In this study, the second-order Nomoto's nonlinear expansion model was implemented as a Tagaki-Sugeno fuzzy model based on the heading angular velocity to design the automatic steering system of a ship considering nonlinear elements. A Tagaki-Sugeno fuzzy PID controller was designed using the applied fuzzy membership functions from the Tagaki-Sugeno fuzzy model. The linear models and fuzzy membership functions of each operating point of a given nonlinear expansion model were simultaneously tuned using a genetic algorithm. It was confirmed that the implemented Tagaki-Sugeno fuzzy model could accurately describe the given nonlinear expansion model through the Zig-Zag experiment. The optimal parameters of the sub-PID controller for each operating point of the Tagaki-Sugeno fuzzy model were searched using a genetic algorithm. The evaluation function for searching the optimal parameters considered the route extension due to course deviation and the resistance component of the ship by steering. By adding a penalty function to the evaluation function, the performance of the automatic steering system of the ship could be evaluated to track the set course without overshooting when changing the course. It was confirmed that the sub-PID controller for each operating point followed the set course to minimize the evaluation function without overshoot when changing the course. The outputs of the tuned sub-PID controllers were combined in a weighted average method using the membership functions of the Tagaki-Sugeno fuzzy model. The proposed Tagaki-Sugeno fuzzy PID controller was applied to the second-order Nomoto's nonlinear expansion model. As a result of examining the transient response characteristics for the set course change, it was confirmed that the set course tracking was satisfactorily performed.

• The Research Journal of the Costume Culture
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• v.32 no.2
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• pp.199-214
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• 2024

Until now, research on consumers' purchasing behavior has primarily focused on psychological aspects or depended on consumer surveys. However, there may be a gap between consumers' self-reported perceptions and their observable actions. In response, this study aimed to investigate consumer purchasing behavior utilizing a big data approach. To this end, this study investigated the purchasing patterns of fashion items, both online and in retail stores, from a data-driven perspective. We also investigated whether individual consumers switched between online websites and retail establishments for making purchases. Data on 516,474 purchases were obtained from fashion companies. We used association rule analysis and K-means clustering to identify purchase patterns that were influenced by customer loyalty. Furthermore, sequential pattern analysis was applied to investigate the usage patterns of online and offline channels by consumers. The results showed that high-loyalty consumers mainly purchased infrequently bought items in the brand line, as well as high-priced items, and that these purchase patterns were similar both online and in stores. In contrast, the low-loyalty group showed different purchasing behaviors for online versus in-store purchases. In physical environments, the low-loyalty consumers tended to purchase less popular or more expensive items from the brand line, whereas in online environments, their purchases centered around items with relatively high sales volumes. Finally, we found that both high and low loyalty groups exclusively used a single preferred channel, either online or in-store. The findings help companies better understand consumer purchase patterns and build future marketing strategies around items with high brand centrality.

• Information Systems Review
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• v.21 no.2
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• pp.69-89
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• 2019

Recently, consumers are increasingly interested in the sharing economy, which utilizes various resources by sharing unused or under-used products/services with others. This study focuses on Airbnb, a representative sharing economy platform, to identify the success factors of the sharing accommodation services. The key properties of sharing accommodation services are extensively surveyed from extant literature and are classified them into the three important factors (economic, convenience, and trust) that influence the success of room-sharing services. The research data include 1,673 Airbnb hosts who offered accommodations in New York City, USA, in June 2018. The research variables of economic-, convenience-, and trust-related factors are utilized in the empirical analyses. The results of this study show that the number of available facilities, flexibility of refunds, the response rate and time to customer requests, and the status of Super host are positively associated with guest satisfaction from sharing accommodation services. This study bears significant managerial implications by suggesting a set of practical guidelines to participants in sharing accommodation services.

• CRM연구
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• v.3 no.1
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• pp.29-47
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• 2010

This study is intended to examine the effect of characteristics of museum visitors and visit type on perceived relative status, aesthetic responses, and perceived visit benefits, which in turn affect visitor satisfaction and personal and social participatory behaviors. Research was held for four weeks. A total of 308 questionnaires were collected out of 315 distributed. However, additional 15 were excluded due to inadequate responses. The findings of the study are as follows: While museum visitor characteristics yielded significant effects on the perceived relative status and perceived visit benefit, it did not have significant effects on aesthetic responses. Additionally, while visit types showed considerable impact on perceived relative status, it did not yield significant effect on aesthetic responses or the perceived visit benefit. Perceived relative status of a museum had positive effects on aesthetic responses, but not on the perceived visit benefit. Furthermore, while perceived relative status did not have significant effect on visitor satisfaction, it did have evident effects on the aesthetic response and the perceived visit benefit. Lastly, greater visitor satisfaction was confirmed to contribute to greater participatory behavior in various prospective programs and events offered by museums. Hence, it would be imperative for museums to gear their attention to encourage internal participatory behaviors such as visitor education, donation and charity events, which would consequently transcend to viewing museums more as a public space shared by the general public.

• Science of Emotion and Sensibility
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• v.14 no.1
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• pp.27-38
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• 2011

This study was aimed to investigate the effects of restaurant in-store color and music congruency on consumer's emotional responses and behavioral intentions. The web survey was conducted among 400 customers(aged from 20~39 years old) who lived in Seoul and Kyunggi, Incheon Province. To find ensemble effect of color and music, 3D studio MAX were used to make high-stimulus(exciting) and low-stimulus(calm) and 3D virtual reality restaurant simulation stimulus were applied. The statistical data analyses were performed using SPSS/WIN 18.0 and reliability analysis, factor analysis, regression analysis were used. Based on the result of the conducting factor analysis, emotional responses were classified into 2 factors: positive emotion and negative emotion. Satisfaction was classified into 1 factor: satisfaction. Loyalty was classified into 1 factor: loyalty. Cronbach's alpha was calculated for the reliability of the survey instrument. Consequently, restaurant in-store color and music congruency were shown to affect positive emotion and negative emotion. Positive emotion and negative emotion were shown to affect satisfaction. Satisfaction were shown to affect loyalty. Music congruency had a higher effect on positive emotion than color congruency. Color congruency had a higher effect on negative emotion than music congruency. The results of this study will serve as a basis of color and music congruency with restaurant atmospherics.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.193-202
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• 2019

In this study, we want to check if there are similarities and differences between Chinese students and Korean university students who make up the highest percentage of Korean students studying abroad and see what attributes affect their satisfaction with the use of Internet shopping malls. Based on the results, Chinese students will be able to suggest ways to increase their satisfaction in the process of using local Internet shopping malls and advise companies operating domestic Internet shopping malls on strategies to improve the satisfaction of foreign customers. According to the study, among the system evaluation factors experienced by Korean students and Chinese students when using Internet shopping malls, Korean students showed better information quality than their Chinese counterparts, and Chinese students showed better functionality than their Korean counterparts. Second, among the logistics system evaluation factors Korean and Chinese students experienced when using Internet shopping malls, both speed and delivery quality showed that Korean students were better than Chinese students. Third, when Korean students use local Internet shopping malls, the factors that affect their satisfaction with consumption were found to have significant effects on functionality, delivery quality, response reliability, information quality and speed. Fourth, Chinese students studying abroad showed that functionality, information quality, speediness and response reliability all had a significant impact on satisfaction, except for delivery quality.

• Quality Improvement in Health Care
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• v.5 no.1
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• pp.42-57
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• 1998

Background : It is increasing the concern for patient satisfaction as a customer information. This study was planned to investigate the activities related to patient satisfaction survey at the Korean hospitals. Methods : We performed the nationwide survey on 235 general hospitals by using the self-administrated checklist from Sep. 9 to Oct. 9, 1996. The response rate were 50.2%. We analyzed the descriptive statistics and chi-square test by SAS software on 118 hospitals. Results : First of all, 62.7% of study hospitals showed to conduct the patient satisfaction survey, and most of hospitals which did not conduct it had a plan to do it within 5 years. The reason that hospitals did not conduct satisfaction survey was due to a lack of administrator's interest or adequate questionnaire form. Second, the bigger, public and being more located in the big city or opened more than 10 years, the more hospitals conducted the patient satisfaction survey. Also, patient satisfaction survey was mainly handled by planning dept. or administrative team. Third, most hospitals had their own way of making questionnaires without proving reliability and validity. The results of the survey were applied to hospital management timely, and were mostly reported to top manager level. Most CEO concerned about the results of satisfaction survey. Fourth, the staffs in charge of survey had problems such as skill related to data analysis and development of questionnaire and they suggested that this problems could be solved through inducing the implementation of the survey results on hospital management, support for the development of standardized questionnaires and increasing the top manager's interests. Fifth, most questionnaires composed of lots of questioning items on hospital equipments and environment, and kindness of hospital employee to patients. Conclusions : Although this study had some limitations in generalization due to low response rate in big hospitals, it is meaningful to find the present state and the problems related to patient satisfaction survey of the general hospitals. We can conclude that there are increasing the concern for patient satisfaction survey among the hospitals nationwide, and it can be needed for technical support related to development of survey tool or method.

• Journal of Animal Environmental Science
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• v.17 no.1
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• pp.39-48
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• 2011

The present survey was conducted to provide basic information on automatic milking system (AMS) in relation to purchase motive, milk yield and quality, customer satisfaction, difficulties of operation and customer suggestions, etc. Purchase motives of AMS were insufficient labor (44%), planning of dairy experience farm (25%), better performance of high yield cows (19%) and others (6%), respectively. Average cow performance after using AMS was 30.9l/d for milk yield, 3.9% for milk fat, 9,100/ml for bacterial counts. Sixty-eight percentage of respondents were very positive in response to AMS use for their successors but 18% were negative. The AMS operators were owner (44%), successor (44%), wife (6%) and company worker (6%), respectively. The most difficulty (31%) in using AMS was operating the system and complicated program manual. The rate of response to system error and breakdown was 25%. The reasons for culling cow after using AMS were mastitis (28%), reproduction failure (19%), incorrect teat placement (12%), metabolic disease (7%) and others (14%), respectively. Fifty-six percentages of the respondents made AMS maintenance contract and 44% did not. Average annual cost of the maintenance contract was 6,580,000 won. Average score for AMS satisfaction measurement (1 to 5 range) was 3.2 with decrease of labor cost 3.7, company A/S 3.6, increase of milk yield 3.2 and decrease of somatic cell count 2.8, respectively. Suggestions for the higher efficiency in using AMS were selecting cows with correct udder shape and teat placement, proper environment, capital and land, and attitude for continuous observation. Systematic consulting was highly required for AMS companies followed by low cost for AMS setup and systematization of A/S.