• Title/Summary/Keyword: Types of E-Commerce

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A Framework for Success of Industrial Clusters: The Fusion of Online and Offline Businesses (온라인과 오프라인이 융합된 성공적 산업클러스터의 프레임워크)

  • Yi Jung-Sub;Jang Hyeong-Wook
    • Journal of Korea Society of Industrial Information Systems
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    • v.11 no.3
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    • pp.96-107
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    • 2006
  • This paper explores the benefits provided by the adoption and implementation of electronic commerce in a particular SME-intensive productive environment: the geographical cluster. This study develops a conceptual framework that highlights the six types of benefits obtained by integrating online business with offline business. Using data from 73 traditional companies in Korean port clusters, factor analysis was used to figure out six benefits including sharing information, cost savings, value-added service, customer relationship, enhanced trust, and marketing efficiency. The six empirically derived critical benefit factors were then used to examine how they improve management performance of the traditional offline companies in the cluster measured by Balanced Scorecard(BSC). According to the results, we concluded that the offline firms in the cluster can take advantages of extending to online business.

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A Study on E-Marketplace Solution Selection Factors (e-마켓플레이스 솔루션 선정 요인에 관한 연구)

  • Kwon, Hyuk-In;Yoon, Sim;Lee, Eun-Hyung
    • Journal of Korea Multimedia Society
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    • v.5 no.6
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    • pp.712-729
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    • 2002
  • In this study, we evaluated degree of importance of e-marketplace solution selection factors. Factor analysis was conducted to find out relationships among various variables which come from literature survey. The result shows that 16(sixteen) -selection variables regarding solution characteristics could be grouped into four areas 'flexibility', 'ease of use', 'security', and 'economy'. And 11(eleven) selection variables regarding to vendor characteristics could be grouped into three areas, 'vendor's support', vendor's general situation', and 'vendor's business accomplishment`. Through various analysis, we found important factors for 3 types of operational companies, buyer-biased, seller biased and neutral. 'Security for data item' was showed as the most important factor for all kind of B2B operational companies. For buyer-biased companies, additional supporting manpower, solution education, and educational cost are shown to be more important factors than others. Place of education, education hours and education level are important for 'Neutral' companies. And the factor 'market share of vendor' are important for 'seller biased' companies.

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Legal Issues of "Zeroing" Practice Based on the Article 2.4.2 of the WTO Anti-Dumping Agreement (WTO 반덤핑협정 제2.4.2조에 의거한 네거티브 덤핑마진 산정 방식("제로잉")의 법적 문제)

  • Chae, Hyung-Bok
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.38
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    • pp.265-302
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    • 2008
  • This paper intends to analyse some legal issues on "Zeroing" which is based on the article 2.4.2 under the WTO Anti-dumping Agreement. "Zeroing" stands for a specific methodology in calculating a general dumping margin for a product in question under which negative individual dumping margins are treated as zero (thus "zeroed") before aggregating all individual dumping margins. The article 2.4.2 of the Anti-dumping Agreement regulates three types of calculating methodology on dumping margin as first symmetrical method(average-to-average: A-A), second symmetrical method(individual-to-individual: I-I) and asymmetrical method(average-to-individual: A-I). However, this article does not have any provisions about the "Zeroing" practice. In their anti-dumping practices, the EC and the United-States calculated dumping margin based on the "Zeroing", but this methodology has been disputed in the Dispute Settlement Body(DSB) of the WTO. This paper analysed their legal problems with some WTO cases in particular concerning EC-Bed Linen, U.S.-Softwood Lumber Zeroing, U.S.-Zeroing(EC) and U.S.-Sunset Review(Japan) cases. On the basis of theses analysis, we can therefore ask some questions as follows; To begin with, although the article 2.4.2 of the WTO Anti-dumping Agreement does not clearly refer to the "Zeroing", how do some developing countries, as the U.S.A and the E.U. calculate dumping margin as the "Zeroing"? Secondly, what is the relationship between the symmetrical method and asymmetrical method to the dumping margin? And if we adopt the zeroing method, what is the different rate to anti-dumping margin? Thirdly, although the Panel decided that the zeroing methodology of dumping margin used by th U.S.A in administrative review between the U.S.A and the E.U, why does the Appellate Body made the decision that the american methodology is incompatible with the WTO Anti-dumping Agreement? Lastly, what will be affected the upper decision taken by the Appellate Body to the DDA negotiation of anti-dumping matters? Even though the WTO Appellate made a decision that the zeroing method is incompatible with the principles of the WTO law, this methodology contains a lot of problems. Some members of the WTO as the U.S.A and the E.U did not officially declare this methodology to abandon, and the debate concerned is arguing. Therefore this paper tried to present the adequate solution in order to promote the zeroing methodology in the international anti-dumping system and practices.

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The Study of Consumer Sensibility on Apparel Texture Image regarding Marketing Channels

  • Shin, Sang-Moo;Lee, Hyo-Jeong
    • Journal of Fashion Business
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    • v.7 no.6
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    • pp.85-91
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    • 2003
  • Quick Response based Mass-Customization can be produced and distributed customized goods and services on mass basis in apparel e-business. Because consumers cannot touch and feel the apparel products in e-business, they tend to have the negative buying behavior. The purposes of this study were to analyze factors of texture image, and to investigate the differences of consumer sensibility on texture image of apparel products based on different marketing channels (on-line/off-line). Two types of questionnaires for on-line and off-line were used to assess consumer sensibility on apparel fabric. The 8 swatches were selected based on the previous literatures. 202 returned questionnaires for each type (on-line/off-line) were analyzed by t-test, mean and standard deviation with SPSS 10.0. The result of this study was showed that there were partially significant differences on consumer sensibility on texture image of apparel products between on-line and off-line. In case of corduroy, consumers perceived more high-class image under on-line than off-line. In case of taffeta, consumers perceived more thin and dense image under off-line (traditional marketing channel) than on-line (e-commerce). In case of denim, consumers perceived more thin and natural image under off-line than online. In case of organza, consumers perceived more natural image under on-line than off-line. In case of satin, consumers perceived more natural image under on-line than off-line. In case of chiffon, consumers perceived denser image under on-line than off-line. In case of velvet, consumers perceived thinner image, higher-class image, and more natural image of texture sensibility under on-line than off-line. In case of single jersey, consumers perceived higher-class image, and denser image of texture under on-line than off-line.

The Effect of Consumption Value and Consumers' Need for Cognition on Satisfaction through the Mediating Role of Trust in Online Shopping Websites (소비가치와 소비자의 인지욕구가 온라인 쇼핑 웹사이트에 대한 신뢰성을 매개로 만족도에 미치는 영향)

  • Lee, Yun-sun
    • Journal of Venture Innovation
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    • v.6 no.4
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    • pp.99-111
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    • 2023
  • This study aims to confirm that consumers' satisfaction with online shopping websites has changed to a phenomenon different from the past. In other words, in a situation where the use of e-commerce is expanding worldwide after the pandemic and various types of commerce such as mobile commerce and social commerce are formed, the consumer's information processing and decision-making process are meaningful in examining the behavior that has been changed based on the perceived motivation level of consumers by the new environment according to the consumption value and personal characteristics perceived by the consumer. In other words, the purpose of this study was to investigate the effect of consumption value and need for cognition on the satisfaction toward online websites as a mediating role in the trust of the website. As a result of testing Hypothesis 1, not only the hedonic value of the consumer for the website but also the utilitarian value had a positive influence on the satisfaction toward the website, and in particular, the utilitarian value showed a relatively greater influence than the hedonic value. However, the negative relationship between the need for cognition and satisfaction was found to be at a significant level under one-sided verification. In Hypothesis 2, only the utilitarian value among the consumption values of 2-1 showed a positive effect on satisfaction through a mediating role of trust. It was confirmed that the utilitarian value among the consumption values was an important factor in the satisfaction toward the website. The significance of this study is that, unlike previous research results, not only consumption value based on senses and emotions but also utilitarian value has a greater influence. Therefore, utilitarian value and need for cognition have a stronger influence on satisfaction if they play a mediating role based on the trust of the website used by consumers. These findings reflect the current market trend of online consumption, and they are helpful in the management and strategy of online websites based on consumer behavior understanding and major factors.

A Bayesian Approach for the Analysis of Times to Multiple Events : An Application on Healthcare Data (다사건 시계열 자료 분석을 위한 베이지안 기반의 통계적 접근의 응용)

  • Seok, Junhee;Kang, Yeong Seon
    • Journal of the Korean Operations Research and Management Science Society
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    • v.39 no.4
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    • pp.51-69
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    • 2014
  • Times to multiple events (TMEs) are a major data type in large-scale business and medical data. Despite its importance, the analysis of TME data has not been well studied because of the analysis difficulty from censoring of observation. To address this difficulty, we have developed a Bayesian-based multivariate survival analysis method, which can successfully estimate the joint probability density of survival times. In this work, we extended this method for the analysis of precedence, dependency and causality among multiple events. We applied this method to the electronic health records of 2,111 patients in a children's hospital in the US and the proposed analysis successfully shows the relation between times to two types of hospital visits for different medical issues. The overall result implies the usefulness of the multivariate survival analysis method in large-scale big data in a variety of areas including marketing, human resources, and e-commerce. Lastly, we suggest our future research directions based multivariate survival analysis method.

Design and Implementation of the Mobile Flash for Flash Game on Mobile Terminals (휴대 단말기에서 플래시 게임을 위한 Mobile Flash의 설계 및 구현)

  • Oh, Hwang-Seok;Lee, Jae-Young;Kim, Man-Soo;Lee, Chung-Hwan
    • Journal of Korea Game Society
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    • v.5 no.3
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    • pp.11-16
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    • 2005
  • As an improvement of the CPU performance of mobile terminals and an increase of user requirements for multimedia services, various multimedia services and applications have been developed and served over mobile platforms. In this paper, we describe the design and implementation of the Mobile Flash which is one of the famous services in mobile platforms with the limitation of hardware resources. The Mobile flash is an optimized solution for mobile terminals of the Flash, which has been used in the Internet browsers not less than 95% in the world for playing various types of contents such as animations, games, contents for education, e-commerce.

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Visual Tactile Attributes in Online Product Presentations for Improving Purchase Intention

  • Suh, YouHyun;Kim, Songmi;Kim, Wonjoon
    • International Journal of Contents
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    • v.14 no.2
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    • pp.7-15
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    • 2018
  • Online shopping is increasing worldwide. Providing customers actual feeling of the product is essential in online shopping. Various technological aids can be used to support visual feeling. When delivering visual tangibility, it is important to study which attributes are significant in product presentations that best portray the actual tactileness. In this perspective, we suggest 'visual tactility' (VT) as a parameter for delivering tangibility in visual presentation. By measuring visual tactility in different product types, latent factors of visual tactility were identified and their influence on purchase intention was determined in this study. We defined material properties of touch such as surface texture, hardness, temperature, and weight as Visual Tactility (VT), the influential factor of tactility. We investigated the influence of VT on product purchase intention and analyzed tactileness within four online product presentations: single static picture, multi static pictures, zoom, and video. Our purpose was to investigate underlying effects of visual tactile attributes on touch and determine their influences according to online product presentation formats. Our results showed that visual tactility positively affected purchase intention and that each attribute differed in importance according to product type. Moreover, this study revealed a strong relation between online product presentation and VT attributes. These results provide a guide when selecting which presentation is optimal for delivering a product's tactility in online shopping situation.

Effects of Consumer Self-Determination Motivation and Service Quality on Purchase Intention of Omni-Channel Service in Omni-Channel Environment (옴니채널 환경에서 소비자의 자기결정 동기와 서비스품질이 옴니채널 서비스 구매의도에 미치는 영향)

  • Park, Joonyong;Kim, Ji Su;Kim, Renee B.
    • Journal of Information Technology Services
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    • v.18 no.4
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    • pp.23-38
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    • 2019
  • With the development of information and communication technology, logistics distribution systems and services have been improved, new types of services have been provided, and consumption patterns in consumer markets have also changed. In the domestic distribution market, the development of ICT technology, the spread of smart devices, and the growth of the e-commerce market have led to Omni-channel, a service that integrates offline channels and online channels. Omni-channel service aims to provide consumers with consistent and convenient service by integrating offline and online domain into one. Consumers can get integrated service on and offline. In this study, consumers' intention to use Omni-channel was examined by Self Determination Theory and SERVQUAL. The survey was conducted on Omni-channel user and the research model was composed of 2nd order factor model considering the characteristics of Omni-channel which provides integrated service based on the prior literature and PLS-SEM (partial least squares structural equation modeling).

An Enhanced Text Mining Approach using Ensemble Algorithm for Detecting Cyber Bullying

  • Z.Sunitha Bai;Sreelatha Malempati
    • International Journal of Computer Science & Network Security
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    • v.23 no.5
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    • pp.1-6
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    • 2023
  • Text mining (TM) is most widely used to process the various unstructured text documents and process the data present in the various domains. The other name for text mining is text classification. This domain is most popular in many domains such as movie reviews, product reviews on various E-commerce websites, sentiment analysis, topic modeling and cyber bullying on social media messages. Cyber-bullying is the type of abusing someone with the insulting language. Personal abusing, sexual harassment, other types of abusing come under cyber-bullying. Several existing systems are developed to detect the bullying words based on their situation in the social networking sites (SNS). SNS becomes platform for bully someone. In this paper, An Enhanced text mining approach is developed by using Ensemble Algorithm (ETMA) to solve several problems in traditional algorithms and improve the accuracy, processing time and quality of the result. ETMA is the algorithm used to analyze the bullying text within the social networking sites (SNS) such as facebook, twitter etc. The ETMA is applied on synthetic dataset collected from various data a source which consists of 5k messages belongs to bullying and non-bullying. The performance is analyzed by showing Precision, Recall, F1-Score and Accuracy.