• 품질경영학회지
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• 제47권2호
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• pp.255-269
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• 2019

Purpose: We examine the impact of Customization of TV Home Shopping Mobile Applications on Service Quality and Customer Loyalty. Methods: We collect data by using survey and proposed relationships between latent variables using Structural Equations Modeling. Results: We find that Customization of TV Home Shopping Mobile Applications positively affect Service Quality and Customer Loyalty. In addition, service quality work as a mediate variable between Customization with Customer Loyalty. Conclusion: Our findings explain the significant relationships between each variables and hence it is necessary to consider Customization and Service Quality in order to achieve desired goal of enhancing business performance through mobile applications.

• 복식문화연구
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• 제21권2호
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• pp.287-300
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• 2013

The aim of this study was to find typology of fashion-related mobile applications through exploratory investigation and to investigate differences in Korea and U.S. App stores. And then, through the qualitative evaluation about fashion mobile applications, this study proposes fashion mobile application's design and contents which can be preferred by users. By conducting keyword search in each store, 122 Korean applications and 150 US applications were analyzed. Empirical findings revealed that there were seven major types of fashion mobile applications: brand, magazine, information, SNS, game, shopping and coordination. Information type applications took up the largest portion, and SNS and game type applications showed higher ranking among customers. There were more game Apps in US and more shopping Apps in Korean stores. More free Apps were found in Korean App stores, whereas relatively more paid Apps were found in US App stores especially in game, magazine and information type applications. And as a result of usability evaluation of fashion mobile application, users prefer SNS and information category application to shopping and brand category. Also users want continuous improvement and new contents for fashion mobile application.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.901-913
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• 2021

This study examines the factors that influence the actual usage of mobile shopping applications among Generation Y (Gen Y) users in Thailand, determined by behavioral intention, compatibility, perceived cost, perceived ease-of-use, perceived usefulness, perceived risk, and personal innovativeness. The researcher carried out the analysis based on a quantitative approach and used a non-probability sampling as the convenience sampling tool. A total of 502 Gen Y respondents who experienced using the top-four ranking mobile shopping applications in Thailand were invited to participate in the study. The Structural Equation Model (SEM) and Confirmatory Factor Analysis (CFA) were used to analyze the model fit, reliability, and validity of the variables. The primary result revealed that perceived usefulness has the strongest positive significant effect on behavioral intention, followed by personal innovativeness and compatibility. Conversely, the perceived cost has a significant negative influence on behavioral intention. Besides, perceived ease-of-use has a significant positive effect on perceived usefulness. The direct relationship between perceived usefulness and behavioral intention is, however, insignificant. Similarly, the result showed no effect of perceived risk towards behavioral intention. Finally, the result also revealed that behavioral intention determined the actual usage of mobile shopping applications of Gen Y users in Thailand.

• 한국콘텐츠학회논문지
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• 제21권9호
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• pp.117-124
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• 2021

본 연구는 20대 소비자를 대상으로 뷰티제품의 모바일 쇼핑동기와 애플리케이션 속성을 분석하고 모바일 쇼핑동기가 뷰티 어플리케이션의 속성과 어플리케이션의 채택에 미치는 영향을 분석하였으며 그 결과는 다음과 같다. 첫째, 모바일 쇼핑동기는 유희성, 편리성, 충동성으로 구분되었으며 뷰티 어플리케이션 속성은 콘텐츠, 커뮤니티, 지속적 관리로 분류되었다. 둘째, 모바일 쇼핑동기는 선호하는 뷰티 모바일 어플리케이션 채택에 유의한 영향을 미치는 것으로 나타났는데 유희성은 뷰티 전문브랜드 앱과 뷰티쇼핑몰 앱에, 충동성은 온라인 종합 쇼핑몰 앱과 뷰티커뮤니티 앱에, 편리성은 TV홈쇼핑 기반 앱에 영향력이 있는 것으로 나타났다. 셋째, 모바일 쇼핑동기는 뷰티 어플리케이션 속성에 유의한 영향을 미치는 것으로 나타났다. 콘텐츠 속성에는 유희성, 편리성, 충동성이 유의한 영향이 나타났고, 커뮤니티 속성에는 유희성이, 지속적 관리에는 충동성이 영향력이 있는 것으로 나타났다.

• The Journal of Asian Finance, Economics and Business
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• 제9권6호
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• pp.287-295
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• 2022

With the dramatic increase in mobile usage, more and more businesses see the potential of m-commerce. This study focuses on a subcategory of m-commerce, a mobile shopping application. To understand the purchase intention via m-commerce applications, this study is aimed to identify the main factors that are related to the applications and explore the influence of these factors on consumers' mobile shopping intention. This study uses quantitative research methods and selects Vietnam as its case study. The survey responses of 450 Vietnamese mobile shoppers were analyzed using partial least squares structural equation modeling (PLS-SEM). The results indicated that online reviews, e-service quality, and information quality are significant predictors of behavior intention, and perceived risk negatively influences consumer online purchase intention via the applications. The content enriches the combined research of detailed and possible models with quality dimensions and risk perception. Practitioners such as e-retailers and developers can enhance the quality of applications and determine strategies to reach potential users and maximize revenue. M-commerce providers should pay adequate attention to credible and influential online reviews since mobile shoppers heavily rely on reading reviews before buying a product.

• Journal of Information Technology Applications and Management
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• 제27권3호
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• pp.77-92
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• 2020

As mobile shopping has been increasing, the competition has been also increasing to satisfy various consumers' needs. Despite such increase in terms of the volume of the consumers who use mobile shopping, there has been very few studies to examine characteristics of mobile shopping malls. The purpose of this empirical study is to investigate the effect of characteristics of mobile shopping malls on consumer loyalty and the interaction effect of the O2O experience on the relationship between the characteristics of mobile shopping malls and consumer loyalty. Using a sample of 276 individuals who have experienced mobile shopping, we found that certain characteristics such as ubiquity, personalization, or convenience have a positive impact on consumer loyalty and a design characteristic solely has an interaction effect on consumer loyalty. As consumer loyalty has a critical factor on mobile shopping mall's profit, examining which factor has a positive effect on consumer loyalty is beneficial for mobile shopping malls. The results of the study have both practical and empirical implications.

• 한국의류산업학회지
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• 제19권3호
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• pp.280-288
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• 2017

This study tested how the mobile impulse buying(m-impulse buying) of fashion products was related to shopping motives and mobile applications(apps) browsing in the context of mobile shopping. A total of 316 self-administered questionnaires were obtained from college students who had experienced m-impulse buying of fashion products during the most recent six months. A structural equation model using a correlation matrix with maximum likelihood was estimated for examining the relationships among shopping motives(e.g., hedonic shopping motive and utilitarian shopping motive), apps browsing, and m-impulse buying of fashion products(e.g., fashion-oriented impulse buying and pure impulse buying) by AMOS 21.0. Findings showed that hedonic shopping motive and utilitarian shopping motive had significant effects on apps browsing in their mobile shopping. Apps browsing had a significant effect on fashion-oriented impulse buying, but did not significantly effect on pure impulse buying of fashion products. Additionally, the hedonic shopping motive had directly significant effects on both fashion-oriented impulse buying and pure impulse buying, whereas the utilitarian shopping motive significantly effected on only the pure impulse buying of fashion products in their shopping. This study suggests that the hedonic shopping motive played an important role to determine the m-impulse buying of fashion products and the utilitarian shopping motive played a role in activating apps browsing relevant to mobile shopping for fashion products. Managerial implications are discussed for retailers related to the fashion products in mobile shopping.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2018년도 춘계학술대회
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• pp.560-561
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• 2018

스마트폰의 보급으로 온라인 쇼핑 시장에서 모바일 쇼핑의 비중이 확대되고 있다. 대부분의 모바일 쇼핑은 애플리케이션을 통해 서비스를 제공하고 있다. 기업들은 온라인 마켓의 경쟁력 확보와 소비자의 다양한 요구사항 응대를 위해 개인화 서비스를 제공한다. 하지만 개인화 서비스는 사용자 데이터 수집과 분석이 매우 중요하다. 따라서 본 논문에서는 모바일 쇼핑 환경의 사용자 데이터 수집을 위해 스마트폰의 카메라를 이용하여 물품의 바코드 인식기능과 머신러닝 기반 물품의 이미지 인식 기능을 구현하였다. 구현된 기능과 푸시 알림 서비스를 통해 온라인 쇼핑 플랫폼 애플리케이션의 개인화 서비스와 사용자 데이터 수집 및 분석을 할 수 있었다.

• 한국의류산업학회지
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• 제14권6호
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• pp.941-951
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• 2012

As smartphones permeate the consumer lifestyle, branded application and mobile shopping have also received increased attention as an important marketing channel. This study identifies the general information about the use of smartphones, attitudes toward fashion applications, and mobile shopping intentions for smartphone users. Focus group interviews were conducted and 22 interviewees participated. The age of the participants ranged from 21 to 45 years old (55% were females). When examining the motivation to adopt a smartphone, respondents presented the comparable characteristics of early adopters and late adopters according to the time of adoption. Most respondents over the age of 30 showed some troubles to use a smartphone; however, participants in their 20s tended to enjoy exploring the new technology. More than half of respondents were aware of fashion applications, but were dissatisfied with fashion apps and used them infrequently. Respondents pointed out that fashion related apps were not too practical because they were not updated regularly, provided only limited information, and focused on brand promotions. In order to increase the intention to adopt mobile shopping, the price and payment security system needs to be considered. This was an exploratory study to identify the possibility of fashion branded apps as a major distribution channel. The findings of this study provide fundamental information to formulate marketing strategies for fashion businesses that have developed fashion apps.

• 한국의류학회지
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• 제37권7호
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• pp.1000-1014
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• 2013

This study identifies the determinants that influence attitude toward and the intention to use mobile shopping services through fashion applications (apps) based on the technology acceptance model. In addition, gender and age group differences were examined. Data were collected from subjects who have used smartphone fashion related apps; subsequently, a total of 327 data were analyzed. About 46% of respondents were males, with a mean age of 34.4 years that ranged from 20 to 49 years old. Multiple regression models were developed based on the research model. Perceived usefulness, perceived ease of use, perceived enjoyment, perceived risks (security risk and quality risk), fashion involvement, and fashion app attributes (product attributes and service attributes) were employed as predictors of attitudes towards mobile shopping. Attitudes towards mobile shopping and subjective norms with the aforementioned variables measured the intention to use. Attitudes towards mobile shopping were predicted by perceived enjoyment, perceived usefulness, and service attributes. Attitudes toward mobile shopping and subjective norms were the most important predictors of the intention to use. Gender differences were found in that service attributes were significant for attitudes towards mobile shopping only in the male model. Age differences were also found and perceived usefulness was the most important predictor of attitudes toward mobile shopping among those in their 20's; however, perceived enjoyment was the most important among those in their 30's and 40's. Quality risk was only significant to explain intention to use among those in their 40's. The findings of this study are useful to understand the possibility of the adoption of mobile shopping though fashion apps and provide basic insight into market segmentation.