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곽하연,이규혜 한국복식학회 2022 International journal of costume and fashion Vol.22 No.1
The Korean luxury market has recently experienced unusual growth. Despite the economic recession caused by COVID-19, transactions have increased. Additionally, flex culture (conspicuous consumption), and reselltech have increased the number of consumers who purchase expensive products such as luxury goods through online and mobile channels. This study determined the overall perceptions, sub-component factors, and perceived benefits of luxury fashion platforms covered by mass media (news), and investigated consumer attitudes and perceptions concerning luxury fashion platforms through user reviews. Keyword frequencies, TF-IDF, semantic network analysis, CONCOR analysis, and sentiment analysis were used. As a result of the analysis, perceptual structure of luxury fashion platforms consists of the state of luxury fashion platform, company evaluation, luxury fashion platform growth engine and marketing/service strategies. Factors that characterized the perceived benefit of the luxury fashion platform included economic benefits, convenience, and value as a data source. The platform also had entertainment values by providing aesthetic and pleasurable experiences to users. Further keyword-based sentiment analysis revealed that positive sentiment characterized 77.25% of the reviews. This study empirically investigated the perception of the luxury fashion platforms through a multidimensional analysis of the economic, affective, and informational value it provides.
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패션 라이브 커머스 유형별 소비자 인식 비교: 텍스트 마이닝 적용
곽하연 ( Ha-Yeon Gwak ),이규혜 ( Kyu-hye Lee ) 한국패션비즈니스학회 2021 패션 비즈니스 Vol.25 No.3
This study concludes that communication based on interaction between broadcasting hosts and consumers is differently characterized by fashion live commerce types. Subcategories of the types of fashion live commerce were created and used in the analyses of domestic consumer awareness. Three subcategories were created: The department store type, Designer brand type, and Influencer host type. Comments representing consumers' awareness that appear immediately during real-time broadcasting were collected and used for the analyses. The frequency and TF-IDF-based top keywords were selected to analyze the semantic network and CONCOR, and the top keywords were analyzed by deriving the values of degree of centrality. The analysis identified that a group of product attributes and a group of live commerce offered value were common between the three types. As for the group characteristics classified by type, for the department store types, brand attributes, benefits, and values from pursuing the products were identified. For designer brand types, a group of viewers' responses and inquiries were identified. It is interpreted that the satisfaction value gained from hosts with product expertise has been clustered. Influencer host types have affirmed a group of external product values. A close relationship is formed and it is thought to have led a group of values to trust the external image of the product. This study carries significance in analyzing real-time comment data from consumers using fashion live commerce to empirically reveal the characteristics of each type.
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Aspen Dynamics(TM)와 ACM을 이용한 용융탄산염 연료전지 시스템의 모사 및 제어
전경연 ( Kyoung Yein Jeon ),곽하연 ( Ha Yeon Kwak ),경지현 ( Ji Hyun Kyung ),이태원 ( Tae Won Lee ),문길호 ( Kil Ho Moon ),이기풍 ( Gi Pung Lee ),류아림 ( Ah Rim Yoo ),양대륙 ( Dae Ryook Yang ) 한국화학공학회 2011 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.49 No.4
Recentincreasing awareness of the environmental damage caused by the CO2 emission of fossil fuelsstimulated the interest in alternative and renewable sources of energy. Fuel cell is a representative example of hydrogen energy utilization. In this study, Molten Carbonate Fuel Cell system is simulated by using Aspen(TM). Stack model is consisted of equilibrium reaction equations using ACM(TM)(Aspen Custom Modeler). Balance of process of fuel cell system is developed in Aspen Plus(TM) and simulated at steady-state. Analysis of performance of the system is carried out by using sensitivity analysis tool with main operating parameters such as current density, S/C ratio, and fuel utilization and recycle ratio. In Aspen Dynamics(TM), dynamics of MCFC system is simulated with PID control loops. From the simulation, we proposed operation range which generated maximum power and efficiency in MCFC power plant.
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