Min-Jung Park

Purpose The objective of the paper is to examine the effect of brand name and promotion on consumers' perceived value, store image, and purchase intention. Design/methodology/approach An experiment with a 2×2 (well known versus unknown brand name, promotion versus no promotion) between‐subjects factorial design was conducted and completed by 392 college students. Findings Brand name had a positive effect on consumers' perceived store image and promotion positively influenced consumers' perceived

The objective of this study was to explore impacts and benefits of mass customized products on emotional product attachment, favorable attitudes toward a mass customization program, and the ongoing effect on loyalty intentions. This study further investigated how benefits, attachment, attitudes, and loyalty intentions differed as a function of involvement and fashion innovativeness. 290 female online shoppers in South Korea participated in an online survey. Results of this study revealed that pe

Abstract Drawing on behavioral reasoning theory, this study investigated drivers of young consumers’ apparel donation behavior. By examining the impact of values (i.e., benevolence and power) and reasons (i.e., other‐oriented reasons and self‐oriented reasons) on attitudes, this study highlights the different motivations individuals have for donating clothing. As predicted, benevolence was positively related to other‐oriented reasons for donations and power was positively related to self‐oriente

As fake news spreads rapidly in social media, attempts to develop detection technology to automatically identify fake news are actively being developed, recently. However, most of them focus only on the linguistic and compositional characteristics of fake news (e.g., source or authors indication, length of a message, frequency of negative words). Compared to them, this study proposes a fake news detection model based on machine learning that reflects the characteristics of users, news content, a

Abstract This study aims to identify fashion trends with design features and provide a consumer-driven fashion design application in digital dynamics, by using text mining and semantic network analysis. We examined the current role and approach of fashion forecasting and developed a trend analysis process using consumer text data. This study focuses on analyzing blog posts regarding fashion collections. Specifically, we chose the jacket as our fashion item to produce practical results for our tr

Abstract After the development of Web 2.0 and social networks, analyzing consumers’ responses and opinions in real-time became profoundly important to gain business insights. This study aims to identify consumers’ preferences and perceptions of genderless fashion trends by text-mining, Latent Dirichlet Allocation-based topic modeling, and time-series linear regression analysis. Unstructured text data from consumer-posted sources, such as blogs and online communities, were collected from January

The purpose of this study is to determine which types of leisure activities promote happiness in young people. The ultimate goal of this study is to improve adolescents' levels of happiness and examine the academic and political challenges that occur in their social networks. In this study, subjects as “more than 4th grade of elementary school to less than a high school students”. A sampling of the group was completed using a pre-percentage assignment and the data was analyzed according to gende

The metaverse has fundamentally transformed remote interactions and retail commerce, providing virtual collaborative workplaces and vibrant digital shopping experiences. This study examines the consumption decisions of digital communities, emphasizing the relationship between metaverse users' social identity and their intention to purchase virtual products, mediated by site attachment and user engagement, and moderated by public self-consciousness. Confirmatory factor analysis and Models 6 and 5

본 연구는 보편적 학습설계를 적용한 중학교 통합체육수업을 실시하였을 때, 장애학생에 대한 비장애 학생의 태도와 수업참여도에 미치는 영향을 알아보기 위한 목적으로 수행되었다. 이를 위하여 경기도 B지역 소재 중학교 1학년에 재학 중인 400명의 학생 중 스포츠클럽시간에 표현활동종목을 선택한 60명의 학생(장애학생 6명, 비장애학생 54명)을 대상으로 실시하였다. 비장애학생은 실험집단과 통제집단에 27명씩 무선배치 하였고, 장애학생 6명은 장애영역을 바탕으로 짝짓기 방법을 통하여 실험집단과 통제집단에 3명씩 배치하였다. 연구의 절차는 연구 참여자선정 및 집단구성, 연구참여 교사 사전연수, 사전검사, 중재기간(12주간 주 2회 45분의 수업실시), 사후검사로 구성되어 총 18주간 진행되었다. 자료 분석을 위하여 장애학생의 수업참여도는 기술통계분석을, 비장애학생의 태도와 수업참여도의 경우 공분산분석을 실시하여 다음과 같은 결과를 얻었다. 첫째, 보편적 학습설계를 적용한 통합체육수업에 참여한

Abstract Fashion image datasets, in which each fashion image has a label indicating its design attributes and styles, have contributed to the achievement of various machine learning techniques in the fashion industry. Computer vision studies have investigated labeling categories (such as fashion items, colors, materials, details, and styles) to create fashion image datasets for supervised learning. Although a considerable number of fashion image datasets has been developed, different style class