• 제목/요약/키워드: Online market

검색결과 1,064건 처리시간 0.028초

On the Development of Robot based Automation System for Loading Cargo in Small and Medium Sub Terminals

  • Park, Jae Min;Lee, Sang Min;Kim, Young Min
    • International Journal of Internet, Broadcasting and Communication
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    • 제13권4호
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    • pp.90-96
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    • 2021
  • The logistics market is continuously growing due to the development of technology and the growth of the online market. In addition, the social atmosphere that emphasizes non-face-to-face due to the pandemic situation is accelerating the growth of logistics. Delivery of goods ordered online requires delivery process through courier worker. In order for the courier worker to ship the product, the work of loading the product on the truck must be preceded. The accident caused by such delivery and loading work is increasing and it is emerging as a social problem. This study proposes a robot-based automated loading system to efficiently handle the increasing volume of courier service and to construct a more efficient and safe working environment by replacing the physical labor that was overloaded to courier workers. The proposed system replaces the loading of the courier worker and proposes the optimal loading function through the automation system.

동대문 소매상권의 재활성화를 위한 전략연구 (A Study on Revitalization Strategies for DongDaeMoon Fashion Retail Market)

  • 임명서;김도연;이문규
    • 패션비즈니스
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    • 제14권4호
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    • pp.41-57
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    • 2010
  • DongDaeMoon fashion retail market, or so-called the new western market, has been playing an important role in DongDaeMoon area's success from 1997 to early 2000's. However, the unique and successful fashion merchandising system of DongDeaMoon retail market has been seriously threatened by consumer need changes as well as by an increased competition from new types of retail stores such as discount stores and online shopping malls. Moreover, its performance has been deteriorated due to the increased number of undifferentiated, small and medium-sized retail stores within the area. In this paper, attempts are made in building revitalization strategies for DongDeaMoon fashion retail market on the basis of analyzing fast fashion and consumers. As results, we found that DongDaeMoon fashion retail market needs cooperated area management plan from related market members. This will help DongDaemoon's image change from deal-oriented market to relationship-oriented market with consumers. Through Focus Group interview, we found DongDeaMoon fashion retail market is confronted with insufficient shopping infrastructure and new challenge from global fast fashion brand. Moreover, to overcome this situation, consumers require repaired communication activities by DongDeaMoon fashion market members on consumer relationship management basis. At the end, this paper try to provide strategic implications for DongDeaMoon fashion retailers.

How to Promote E-Commerce Exports to China: An Empirical Analysis

  • KIM, MIN JUNG
    • KDI Journal of Economic Policy
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    • 제39권2호
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    • pp.53-74
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    • 2017
  • This paper focuses on the recent extraordinary growth of Chinese cross-border online shopping and draws implications for firm strategies and government policies in Korea to utilize the phenomenon as an opportunity to expand into a broader market via e-commerce exports. I conduct a survey of Chinese cross-border online consumers to identify constraining and determining factors during the stages of their purchase decisions of Korean products. Given the fact that Chinese cross-border online shopping is at the incipient stage and consumers have expressed a strong intent to repurchase, future strategies should focus on attracting new consumers. Accordingly, Korean firms should build a powerful brand image, improve product quality and post-purchase services, and take full advantage of the popularity of the Korean Wave. Meanwhile, the government must step up policy efforts by, for instance, improving e-commerce export statistics, simplifying logistics and clearance procedures, and building trust in Chinese consumers.

Antecedents and Consequences of Flow Experience in Online Movie Information Sharing Behavior: An Empirical Study of Young Chinese Moviegoers Living in Korea

  • Zhu, Zong-yi;Kim, Hyeon-Cheol
    • International journal of advanced smart convergence
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    • 제9권1호
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    • pp.141-153
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    • 2020
  • This study aims to understand the antecedents and consequences of flow experience in online movie information sharing behavior of young Chinese moviegoers residing in Korea to explore a potential market. We followed the Stimulus-Organism-Response (S-O-R) theory and flow theory approaches for developing measures of constructs and investigated previous related studies. This study collected 186 data from Chinses students who attend Korean university. Statistical analysis revealed that information seeking behavior and telepresence are related to online flow experience. In addition, the online flow experience affected consumer satisfaction and information sharing behavior. Flow experience also has been predicted the mediation effect between stimulus information seeking behavior, telepresence and satisfaction and information sharing behavior. Our research findings offer insights for marketers in the movie distribution business who are interested in a better understanding of the behaviors of Chinese moviegoers residing in Korea

온라인 메신저 서비스에서의 이모티콘 사용 동기: 조절초점 성향을 중심으로 (Motivation of Emoticon Usage in Online Messenger Service: Focusing on Regulatory Focus)

  • 서봉군;박도형
    • 지식경영연구
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    • 제21권2호
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    • pp.101-118
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    • 2020
  • The usage of emoticons used in the online environment continues to increase, and also the market for emoticons is growing rapidly. Emoticons go beyond simply conveying the meaning of a message and play various roles such as smooth communication, pursuit of fun, and intimacy. In this study, we first identify the factors that motivate users to use emoticons in an online messenger service, and then determine whether the derived factors have a significant effect on emoticon usage. Furthermore, based on Regulatory Focus Theory, we will distinguish between the group of promotion focus and the group of prevention focus to see how the influence of motives on emoticon usage differs.

Machine Learning-Based Programming Analysis Model Proposal : Based on User Behavioral Analysis

  • Jang, Seonghoon;Shin, Seung-Jung
    • International journal of advanced smart convergence
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    • 제9권4호
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    • pp.179-183
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    • 2020
  • The online education platform market is developing rapidly after the coronavirus infection-19 pandemic. As school classes at various levels are converted to non-face-to-face classes, interest in non-face-to-face online education is increasing more than ever. However, the majority of online platforms currently used are limited to the fragmentary functions of simply delivering images, voice and messages, and there are limitations to online hands-on training. Indeed, digital transformation is a traditional business method for increasing coding education and a corporate approach to service operation innovation strategy computing thinking power and platform model. There are many ways to evaluate a computer programmer's ability. Generally, piecemeal evaluation methods are used to evaluate results in time through coding tests. In this study, the purpose of this study is to propose a comprehensive evaluation of not only the results of writing, but also the execution process of the results, etc., and to evaluate the programmer's propensity habits based on the programmer's coding experience to evaluate the programmer's ability and productivity.

소비자 리뷰 텍스트마이닝을 이용한 신생 산업 시장 구조 분석: 국내 수제 맥주 시장의 경쟁 관계 및 시장 구조를 중심으로 (Analysis of New Market Structure Using Text Mining and Consumer Perceptions Map: The Case of the Korean Craft Beer Market)

  • 이연수;김혜진
    • 한국정보시스템학회지:정보시스템연구
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    • 제30권2호
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    • pp.189-214
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    • 2021
  • Purpose This paper aims to effectively utilize user-generated content (UGC) and analyze the market structure of a relatively new market which lacks rich user review information. Specifically, we propose a domain-specific text mining tool for the domestic craft beer market and visualize the market structure by incorporating how individual beer products are positioned in the perceptual map of consumers. Design/methodology/approach We collect user review information from Naver blogs, and extract words that describe beers. We identify semantic relationships between beer products through text mining, and then depending on these semantic relationships, construct a graph representing the market structure of the domestic craft beer market based on the consumer's perceptual map. Findings First, beer products produced in the same brewery are perceived as very similar to consumers. Second, only two products, 'Heukdang Milky Stout' and 'Gompyo', was noticeably distinguishable from other products. Third, even though 'Gyeongbokgung' is from a different brewery, it is located very close to the products of 'Jeju Beer' brewery such as 'Jeju Baeknokdam Ale' and 'Seongsan Ilchulbong Ale', which suggests the influence of 'landmark series.' We successfully show that our methodology effectively describes the market structure of the craft beer market.

온라인 뉴스와 거시경제 지표, 금융 지표, 기술적 지표, 관심도 지표를 이용한 코스닥 상장 기업의 기계학습 기반 주가 변동 예측 (Machine Learning Based Stock Price Fluctuation Prediction Models of KOSDAQ-listed Companies Using Online News, Macroeconomic Indicators, Financial Market Indicators, Technical Indicators, and Social Interest Indicators)

  • 김화련;홍승혜;홍헬렌
    • 한국멀티미디어학회논문지
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    • 제24권3호
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    • pp.448-459
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    • 2021
  • In this paper, we propose a method of predicting the next-day stock price fluctuations of 10 KOSDAQ-listed companies in 5G, autonomous driving, and electricity sectors by training SVM, XGBoost, and LightGBM models from macroeconomic·financial market indicators, technical indicators, social interest indicators, and daily positive indices extracted from online news. In the three experiments to find out the usefulness of social interest indicators and daily positive indices, the average accuracy improved when each indicator and index was added to the models. In addition, when feature selection was performed to analyze the superiority of the extracted features, the average importance ranking of the social interest indicator and daily positive index was 5.45 and 1.08, respectively, it showed higher importance than the macroeconomic financial market indicators and technical indicators. With the results of these experiments, we confirmed the effectiveness of the social interest indicators as alternative data and the daily positive index for predicting stock price fluctuation.

일본 온라인 게임시장에의 성공적 진출을 위한 기반 연구 - 게이머 유형별 특성 차이를 중심으로 - (An Empirical Study on Online Game Players' Characteristics in Japan : Hardcore versus Casual Gamers)

  • 엄명용;김태웅;김영기
    • 무역상무연구
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    • 제26권
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    • pp.285-313
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    • 2005
  • 본 연구는 2005년 아시아 게임시장에서 가장 큰 3대 시장 중의 하나로 성장 할 것으로 예상되는 일본 온라인게임시장을 대상으로 일본 게이머들을 하드코어게이머(Hardcore Gamer)와 캐주얼게이머(Casual Gamer)로 분류하고 두 게이머 집단간 인구통계학적 차이(성별, 연령대), 게임 이용 장소, 시간, 비용의 차이 그리고 게임관련 요인에 관한 차이(특성요인, 디자인요인, 인식요인)를 통계적 방법을 이용하여 실증적으로 분석한 연구이다. 각 연구 내용별 실증적 분석을 위해 사용된 통계적 기법은 인구통계학적 차이, 게임 이용 장소, 시간, 비용의 차이는 $M{\times}n$ 분할표의 ${\chi}2$ 검정을 이용하였고, 게임관련 요인에 관한 차이는 독립표본 t-검정을 이용하였다. 본 연구의 결과가 일본 온라인게임시장에 진출하려는 국내 게임업체들에게 일본 게이머들의 성향에 부합하는 커스터마이징된 게임을 개발할 수 있도록 많은 시사점을 제공해 줄 수 있을 것이라 본다.

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온라인 게임 과몰입에 영향을 주는 사회적 상호작용 요인에 관한 연구 (A Study on Social Interaction Factors Influencing on Excessive Online Game Usage)

  • 김용영;김미혜
    • 디지털융복합연구
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    • 제14권1호
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    • pp.387-398
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    • 2016
  • 2000년대 들어 꾸준히 성장한 국내 게임시장 규모는 10조 원 대 진입을 눈앞에 두고 있다. 게임 시장의 규모만 커진 것이 아니라 온라인 게임의 사용 행태도 변하고 있다. 전통적인 비디오 게임과 다르게 온라인 게임은 인터넷을 통해 사회적 상호작용을 허용한다. 온라인 게임은 일상적인 활동이 되었고, 사회적 상호작용은 큰 영향을 미치고 있다. 사회적 상호작용이 긍정적인 영향만을 미치는 것이 아니라 이로 인해 온라인 게임을 과도하게 이용하는 경우도 발생하고 있다. 이러한 상황에서 포괄적으로 바라보았던 사회적 요인을 체계화하여 온라인 게임의 과도한 이용 행태에 미치는 영향을 살펴볼 필요가 있다. 본 연구에서는 사회적 상호작용 요인을 고독 탈피, 가상세계 연계 확대, 현실세계 결속 강화로 세분화하고, 이러한 사회적 상호작용 요인이 온라인 게임 과몰입에 미치는 영향을 파악하였다. 본 연구는 온라인으로 수집된 자료의 분석을 통해 고독 탈피, 가상세계 연계 확대, 현실세계 결속 강화 모두 온라인 게임의 과몰입에 통계적으로 유의한 영향을 준다는 점을 실증하였다.