• 제목/요약/키워드: shopping platforms

검색결과 67건 처리시간 0.026초

부산광역시 지하철역 지하공간의 대기오염 특성 (Analysis of air pollution in subway area of Busan Metropolitan City)

  • 이화운;장난심;곽진;이희령;김희만
    • 한국환경과학회지
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    • 제11권3호
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    • pp.169-176
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    • 2002
  • The purpose of this study is designed to estimate the air quality of subway stations that have the underground platforms in Pusan Metropolitan City, from September to November 2000, over seven times. The subjects include Yonsan-dong station, Somyon station, Pusan station, Nampo-dong station, and Tushil station. The samplings were conducted at three points of each station, i.e. gate, ticket gates, and platforms. The major materials for analysis were CO, NO, NO$_2$, and $O_3$. The experiment was conducted at 7:00 pm with KIMOTO HS-seven Handy sampler and Tedlar Bag of SKC INC(U.S.A). In order to more fully understand station environments, we also measured temperature at each point. The results showed that $O_3$ average concentration at Yonsan-dong station was higher than others with 38~51 ppb. The average concentration of NO was high at ticket gate and platform at Somyon station(119 ppb, 122 ppb), Nampo-dong station(102 ppb, 100 ppb). These results show that the air pollution of stations with underground shopping malls was higher than others. At Somyon station having a junction station, NO and NO$_2$ concentration level of platform-2(noncrowded) was higher than platform-1(crowded). This is most likely due to the accumulation of air pollutants and inadequate ventilation systems.

패션 버티컬 플랫폼 개인화 추천시스템의 사용자 경험에 관한 연구 -자기조절초점의 조절효과- (Study on User Experience of Personalized Recommendation Systems of Fashion Vertical Platforms -The Regulation Effect of Self-Regulatory Focus-)

  • 박민지;박현희;구양숙
    • 한국의류학회지
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    • 제47권4호
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    • pp.711-728
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    • 2023
  • This study aims to validate the user experience associated with the personalized recommendation systems of fashion vertical platforms. The investigation focused on women aged 18 to 30 with prior experience using personalized fashion recommendation systems. The collected data were analyzed using SPSS 26.0 and AMOS 26.0, and the outcomes can be summarized as follows. Firstly, the diversity and usefulness of information quality exerted a positive effect on use satisfaction. Secondly, the affirmative impact of the reliability of system quality on user satisfaction was established, although stability was not confirmed. Thirdly, the study identified a favorable connection between ease-of-use of service quality and user satisfaction, while the influence of tangibles was unsubstantiated. Fourthly, the degree of self-reference was found to have a positive effect on user satisfaction. Fifthly, a constructive relationship emerged between user satisfaction and both continuous-use intention and recommendation intention. Lastly, there was a significant difference in the magnitude of the effect of ease-of-use on satisfaction according to self-regulatory focus. The findings of this study hold the potential to enhance the explanatory and predictive power of the field of consumer behavior within the novel shopping landscape of fashion vertical platforms.

The Influence of Shoppable Content Readability on Consumer Engagement in Brand Pages

  • Woo-Ryeong Yang;Minsoo Shin
    • Asia pacific journal of information systems
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    • 제31권2호
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    • pp.197-219
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    • 2021
  • Social media platforms have become prominent channels for e-commerce, and the role of social network sites' (SNS) content marketing is expanding as a strategic marketing communication approach to attract and retain consumers and increase sales. In this study, we focused on South Korea market and explored the influence of linguistic complexity and informality on consumer engagement. In particular, we identified the importance of complexity, focusing on its negative effects, as well as the moderating effect of commerce features to minimize these effects. Specifically, content length, hashtags, long words, and average sentence length significantly and negatively impacted consumer engagement. The influence of emojis, an informality variable, was not statistically significant. Shoppable tags, a commerce feature that provides both advertising explicitness and shopping convenience, were a moderating factor in the influence of complexity. Our findings provide new insights for content marketing researchers, and have practical implications for social media managers and content developers.

Development of Customer Review Ranking Model Considering Product and Service Aspects Using Random Forest Regression Method

  • Arif Djunaidy;Nisrina Fadhilah Fano
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제18권8호
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    • pp.2137-2156
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    • 2024
  • Customer reviews are the second-most reliable source of information, followed by family and friend referrals. However, there are many existing customer reviews. Some online shopping platforms address this issue by ranking customer reviews according to their usefulness. However, we propose an alternative method to rank customer reviews, given that this system is easily manipulable. This study aims to create a ranking model for reviews based on their usefulness by combining product and seller service aspects from customer reviews. This methodology consists of six primary steps: data collection and preprocessing, aspect extraction and sentiment analysis, followed by constructing a regression model using random forest regression, and the review ranking process. The results demonstrate that the ranking model with service considerations outperformed the model without service considerations. This demonstrates the model's superiority in the three tests, which include a comparison of the regression results, the aggregate helpfulness ratio, and the matching score.

부산광역시 지하철 내의 대기오염도 분석 (Analysis of Ambient Air Quality Level in Subway Area in Busan Metropolitan City)

  • Lee, Hwa-Woon;Park, Jong-Kil;Jang, Nan-Sim;Lee, Hee-Ryung;Kim, Hee Man
    • 한국환경과학회지
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    • 제12권2호
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    • pp.207-215
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    • 2003
  • The purpose of this study is to estimate the air quality of subway stations having underground platforms in Busan Metropolitan City, from September to November 2000, over seven times. The places of the investigation include Yonsan-dong station, Somyon station, Busan station, Nampo-dong station, and Dusil station. Samplings were conducted at three points in each station, i.e. gates, ticket gates, and platforms. CO, NO, $NO_2$, and $O_3$ were the main components of air for this analysis. In order to more fully understand station environments, we also measured an air temperature at each point. The results showed that the $O_3$ average concentration of Yonsan-dong station was higher than others with 38~51 ppb. The average concentration of NO was high at the ticket gate and platform at Somyon station (119 ppb, 122 ppb) and Nampo-dong station (102 ppb, 100 ppb). These results show that the air pollution of stations with underground shopping malls were higher than others. At Somyon station having a junction station, NO and $NO_2$ concentration levels of platform-2 (noncrowded) were higher than platform-1 (crowded). This is most likely due to the accumulation of air pollutants and inadequate ventilation systems. To find the relationship of the indoor (platform) and outdoor (gate), we analyzed the I/O ratio. The averages of CO and $O_3$ were both higher than one: 1.16 and 1.82, respectively. In the correlations between each material and the others, NO vs $NO_2$ was the highest with R=0.63. In the correlations between indoor and outdoor, $O_3$ was the highest with R=0.64.

핸드메이드 마켓 앱의 사용자 경험 연구 -Etsy와 idus를 중심으로- (A Study on the User Experience of Handmade Market Applications -Focused on Etsy and Idus-)

  • 안지선
    • 디지털융복합연구
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    • 제19권12호
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    • pp.389-395
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    • 2021
  • 본 연구는 핸드메이드 대표 서비스인 Etsy와 idus 애플리케이션의 사용자 경험을 평가하고자 한다. 이를 위해 20~50대 11명을 대상으로 피터 모빌의 사용자 경험 요소를 기초로 한 설문조사를 진행하였다. 그리고 심층인터뷰를 통하여 문제점을 발견하고 제시 제임스 가렛의 사용자 경험 요소 프레임워크의 5단계에 따라 사용자 경험 문제점을 분석하였다. 실험 결과, 이들 앱들의 사용자 경험 개선을 위한 범용적으로 통용되는 비주얼 인터페이스 적용, 가독성을 위한 간략한 텍스트 제공, 정보 구조에서 유사한 기능의 반복 지양, 문화와 국가를 고려한 디자인 패턴 적용을 제안한다. 이 연구를 통해 핸드메이드 플랫폼의 쇼핑 경험이 어떠한지 분석함으로써 글로벌 플랫폼으로 활성화하기 위한 기초자료를 제공하는데 의의가 있다.

The Analysis on the Recyclability of Shenlong Automobile Company in China using SWOT Technique

  • Zhao, Wei;Jung, Heonyong
    • International Journal of Advanced Culture Technology
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    • 제10권3호
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    • pp.146-155
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    • 2022
  • The purpose of this study is to investigate the recyclability of Shenlong in China using SWOT. The main analysis results are as follows. First, provided that the company's current capacity utilization rate is seriously insufficient, reducing staff is one among the effective ways. Second, Shenlong should open a web store to cater to young people's online shopping behavior, and further expand the brand visibility using national mainstream media and online shopping platforms like Taobao and JingDong to market Dongfeng Peugeot and Dongfeng Citroen on the whole network. Third, under the premise of maintaining the present best-selling models, Shenlong should appropriately reduce the amount of models, adjust the assembly capacity ratio of every model and every displacement in real time per the newest market trends, increase the agility of auto companies' production, and timely meet the wants of domestic consumers. Fourth, dual-brand coordination and channel integration are very necessary, and also the profitability and profitability of dealers are going to be further improved, thereby increasing sales. Fifth, target building new energy leading products of Shenlong, strive to attain the forefront of the industry within the sales of recent energy vehicles within 5 years, and gradually expand new energy vehicle products from passenger vehicles to passenger vehicles and commercial vehicles. Finally, the marketing field of Shenlong Automobile should achieve "three major changes", that is, change from a goal-driven type to a demand-driven type, cancel the bundling of outlet invoicing goals and delivery incentive tiers; start from basic capabilities, and set pragmatic and challenging goals; focus Channels, to realize following the activation of outlets, and single store sales increase.

"이거 어디서 사?" - Mask R-CNN 기반 객체 분할을 활용한 패션 아이템 검색 시스템 ("Where can I buy this?" - Fashion Item Searcher using Instance Segmentation with Mask R-CNN)

  • 정경희;최하늘;;김현성;;추현승
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2022년도 추계학술발표대회
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    • pp.465-467
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    • 2022
  • Mobile phones have become an essential item nowadays since it provides access to online platform and service fast and easy. Coming to these platforms such as Social Network Service (SNS) for shopping have been a go-to option for many people. However, searching for a specific fashion item in the picture is challenging, where users need to try multiple searches by combining appropriate search keywords. To tackle this problem, we propose a system that could provide immediate access to websites related to fashion items. In the framework, we also propose a deep learning model for an automatic analysis of image contexts using instance segmentation. We use transfer learning by utilizing Deep fashion 2 to maximize our model accuracy. After segmenting all the fashion item objects in the image, the related search information is retrieved when the object is clicked. Furthermore, we successfully deploy our system so that it could be assessable using any web browser. We prove that deep learning could be a promising tool not only for scientific purpose but also applicable to commercial shopping.

온라인 쇼핑몰 환경에서 사용자 행동 데이터의 상관관계 분석 기반 추천 시스템 (Recommendation System Based on Correlation Analysis of User Behavior Data in Online Shopping Mall Environment)

  • 박요한;문종혁;최종선;최재영
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제13권1호
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    • pp.10-20
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    • 2024
  • 매년 증가하는 온라인 상거래 시장과, 점차 다양해지는 상품과 콘텐츠로 인해 사용자들은 선택 과정에 어려움을 느낀다. 이에 여러 기업들은 온라인 쇼핑몰에서 사용자가 선호할 상품을 선별하여 제공하기 위해 추천 시스템에 대한 지속적인 연구를 진행하고 있다. 대다수의 추천 시스템 연구에서는 비교적 획득하기 쉬운 사용자의 이벤트 데이터를 기반하여 연구를 진행하였으나 한 종류의 사용자 행동만을 고려하기 때문에 사용자의 선호도를 파악하는 것에 오차가 발생한다. 이에 본 논문에서는 여러 종류의 사용자 행동 데이터의 상관관계를 고려하여 사용자의 선호도를 분석하는 추천 시스템을 제안한다. 제안하는 추천 시스템은 사용자의 사용자 행동 데이터의 상관관계를 분석하고 가중치를 생성하여 추천 모델을 학습한다. 실험에서는 기존 연구의 알고리즘과의 성능 비교를 통해 제안하는 시스템의 복잡도와 성능 향상을 확인하였다.

라이브 커머스에서 인플루언서의 큐레이터 역량이 신뢰도와 구매의도에 미치는 영향: 한중비교 (Effects of Influencers' Curator Competences on Reliability and Purchase Intention in Live Commerce: Comparison between Korea and China)

  • 요우커신;연예지;박철
    • 한국IT서비스학회지
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    • 제23권3호
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    • pp.1-16
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    • 2024
  • As the COVID-19 pandemic confirmed the culture of non-face-to-face consumption. In retail commerce, the 'live commerce' market, where sales are made by communicating with customers in the form of live streaming broadcasts, has grown rapidly. Although previous studies have consistently confirmed the phenomenon of "influencers" in society and culture, there is a lack of research on the "sales expertise" of live commerce broadcasters such as Wang Hong in China. In China, "Wang Hong" is short for "Wang Luo Hong Ren", a combination of "Wang Luo", which means the Internet, and "Hong Ren", which means star, and refers to a person who is popular through social platforms and is gaining popularity from many fans. Therefore, this study focuses on Wang Hong's developing "selling expertise" and examines it from the perspective of a shopping curator. In particular, we applied Harold Jarche(2011)'s "Seek-Sense-Share" model to influencers to verify their influence on trust and purchase intention in live commerce. Furthermore, we analyzed the differences between Korea and China.A survey was conducted among live commerce users in Korea and China, and a total of 228 questionnaires were used in the final analysis. Basic statistical analysis was conducted using SPSS and hypotheses were tested using PLS 3.0. The results of the hypothesis testing showed that influencers' curatorial competence "Seek-Sense-Share" had a significant effect on trust, and trust had a positive effect on purchase intention. In addition, there is a significant difference between Korean and Chinese consumers in this relationship.