• Title/Summary/Keyword: E-Commerce Industry

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Coupang's Contents Growth Strategy: Building Lock-in Effect for Subscription Economy (쿠팡의 콘텐츠 성장 전략: 구독경제를 위한 락인효과 구축)

  • Sang-Jib Kwon
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.19 no.3
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    • pp.1-11
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    • 2024
  • Content is now recognized as a key resource to sustain competitive advantage in the OTT market and for e-commerce companies. Coupang is pursuing a content growth strategy to maximize the lock-in effect that binds consumers to the subscription economy and its ecosystem. Given this background, this study aims to explain Coupang's content growth momentum through a case study method and examine Coupang's content strategy in detail. Based on this, this study describes Coupang's content growth strategy in detail and confirms that Coupang differentiates its content from the competition by focusing on sports and low prices to build a lock-in effect in the subscription economy. As a result, we can summarize that the purpose of Coupang's content strategy is to build a lock-in effect for the subscription economy based on content differentiation focused on sports, a bundle strategy linked to e-commerce, and a low-cost strategy. This study contributes to the field of venture creation research by carefully analyzing how Coupang grew from a venture firm to a Decacorn corporation and developed the influence of its content in a completely different industry, and systematically explains the importance of content strategy in strengthening the lock-in effect for the subscription economy. Future research should compare the impact of content strategy of venture and startups in the contents industry to broaden the scope of research in the field and suggest deeper lessons learned.

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Effect of Experiential Value on Customer Satisfaction and e-WOM under O2O Commerce (O2O 커머스 모델에 기반한 경험가치가 고객만족 및 온라인 구전에 미치는 효과에 관한 실증연구)

  • Shang, Yu-Fei;Chen, Yao;Kim, Hong-Seop
    • Journal of Distribution Science
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    • v.15 no.8
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    • pp.75-86
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    • 2017
  • Purpose - The online-to-offline (O2O) business model has brought considerable changes to the traditional Chinese business model. The main difference between O2O and pure online consumption is that O2O offers a richer experience and word-of-mouth. it is easier to trigger online word-of-mouth. However, few scholars have been concerned about the impact of experiential value on customer satisfaction and online word-of-mouth (e-WOM) in the study of O2O. This study takes the O2O business model in China's catering industry as its research object and uses structural equation modelling to analyze the impact of online and offline experiential values on customer satisfaction and e-WOM. Research design, data, and methodology - According to previous researches, consumer experiential value is mainly divided into return on investment (economy and efficiency), service excellence, playfulness and aesthetics. According to the characteristics of O2O in China's catering industry, this study divides the online experience value into efficiency and economy (return on investment). The offline part is divided into return on investment (economy and efficiency), service excellence, playfulness and aesthetics. Using a web-based survey, we collected 303 valid samples. Structural equation modelling was used to create the research model. Results - The results show that efficiency (online) and service excellence (offline) have a significant effect on customer satisfaction. Economics (online) and playfulness (offline) have a positive impact on customers' e-WOM. In addition, the higher the customer satisfaction, the greater the positive impact on the spread by word of mouth. However, aesthetic(offline) and return on investment(offline) have no significant impact to customer satisfaction and e-WOM. Conclusions - The study findings show that the key to boost customer satisfaction in the catering industry is to improve product quality and service. Although traditional competitive strategies such as online discount have been questioned by many scholars about their decreasing effectiveness, they are indispensable means to attract online traffic and trigger e-WOM. The traditional enterprises can reconstruct traditional business processes through the O2O model to effectively improve customer satisfaction and word of mouth by improving the experiential value of economy and efficiency. Additionally, it can be used as the natural advantages of online communication to induce customers to engage in word of mouth and attract more potential customers.

Design and Implementation of Supply Chain Management System Using XML/EDI in Automibile Industry (자동차부품산업의 XML/EDI를 활용한 SCM 시스템의 설계 및 구현)

  • Moon, Tae-Soo;Kang, Sung-Bae
    • The Journal of Society for e-Business Studies
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    • v.9 no.3
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    • pp.207-226
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    • 2004
  • SCM is one of the important key issues in Internet-based business environment. Most of companies related to B2B electronic commerce are making their efforts to innovate their existing business process into new integrated supply chain process. SCM system using XML/EDI provides competitive advantage to them by reshaping the relationship between traditional trading partners. This study intends to suggest a prototype of SCM system using XML/EDI. To implement SCM system, we analyze and design the supply chain process by using Unified Modeling Language, with a firm engaged in Korean automobile industry, which is a first vendor to produce a set of LAMP. The implementation of SCM system using UML shows excellent performance in software reuse, extensibility, and the interoperability with corporate internal information systems.

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A study on longitudinal differences in website user's trust factors (시간차이에 따른 웹사이트 이용자의 웹사이트 신뢰도 요인 변화에 대한 연구)

  • Shin, Kil-Hwan;Jeong, Cheon-Su;Lee, Choon-Yeul
    • Journal of Internet Computing and Services
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    • v.13 no.2
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    • pp.127-136
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    • 2012
  • IT industry is rapidly changing technologies and trends are leading the field. Website also typical of these areas in the field of IT as a sector, technological advances faster, depending on the nature of the IT industry and the emergence of new services, changes in a variety of platforms, and is rapidly rising. In addition, a website containing information in accordance with the social situation changes and exposure of the agenda and vary greatly. Therefore, these changes in terms of B2C websites that can make a difference in the reliability factor looks. From this perspective, in this study to compare data before and after 10 years on the reliability factor by conducting longitudinal studies, most are not addressed in previous studies due to time differences website users to change the reliability of the analyzed factors.

Field Test on IEC60364-4-44 for the Application in Korean distribution system (IEC60364-4-44의 국내 배전계통 적용을 위한 실증시험)

  • Nam, Kee-Young;Choi, Sang-Bong;Jeong, Seong-Whan;Lee, Jae-Duck;Ryoo, Hee-Suk;Kim, Dae-Kyeong
    • Proceedings of the KIEE Conference
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    • 2006.07a
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    • pp.486-487
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    • 2006
  • The authors have studied on the application of IEC 60364-4-44 to Korean electrical installations of buildings from 2004 sponsored by Korean ministry of commerce, industry and energy and the test field is established in K.E.R.I. (Korea Electrotechnology Research Institute). This paper presents the summary results of establishment of test field and analysis for the application of IEC 60364 in Korea. IEC 60364-4-44 provides rules for the protection against the effects of conducted and radiated disturbances on electrical installations. Especially this standard deals with the protection of low voltage facility against the ground fault in the high voltage side of power distribution system. Many countries define the regulations on the use and production of electrical facilities based on their own power system and technical references which are considered to be suitable for them. The background of circuit of IEC 60364-4-44 is based on the ungrounded system as most of European countries. However, since Korean electric power distribution system is based on multi-grounding system different from European system, it is necessary to evaluate or prove the effect of the IEC 60364-4-44 for introducing and applying it to the domestic grounding system as a Korean standard. This paper presents the establishment of test field to get background data to introduce the IEC 60364-4-44 and to evaluate the standard is applicable to domestic rule for the protection against ground fault through the related test

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Research for Development of Furniture Industry in a city of Gangneung and Donghae - Focused on Japanese Case Study and Survey of Local Businesses - (동해 강릉지역의 가구산업 조성을 위한 조사연구 - 일본 사례조사 및 지역 업체의 설문조사를 중심으로 -)

  • Moon, Jung-In
    • Journal of the Korean Institute of Rural Architecture
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    • v.13 no.3
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    • pp.73-80
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    • 2011
  • This study aims to develop furniture industry in eastern district of Gangwondo and a city of Gangneung and Donghae. Case study on furniture complex in Asahikawa, Japan and survey of furniture companies in Gangneung and Donghae city were implemented for understanding of present state, followed by analysis of problems. It can be summarized as follows. First, the basic operation method of Japanese furniture industry is to keep a balance between industry and academy. Universities or centers are in charge of education and fostering talents, such as allowing to promote and to sell products in design center gallery while corporations support it by lending expensive devices and conducting strength test analysis. Second, according to the survey of furniture companies in Gangneung, many difficulties in products development such as a shortage of designer, method, creative design were discovered. With respect to education and human force fostering, education for design and e-commerce were not sufficient, also marketing section has a problem with limited space for display and selling. Corporate support section is facing problems in receiving raw materials, aging of facilities, manufacturing and management methods. Consequently, it is considered that academic and industrial sections should implement their own roles by forming a bilateral network which connects local universities, high schools, relevant organization in the city and providence and furniture manufacturing companies to companies' product development, human force fostering and marketing in an attempt to activate the furniture industry in this area.

The way to make training data for deep learning model to recognize keywords in product catalog image at E-commerce (온라인 쇼핑몰에서 상품 설명 이미지 내의 키워드 인식을 위한 딥러닝 훈련 데이터 자동 생성 방안)

  • Kim, Kitae;Oh, Wonseok;Lim, Geunwon;Cha, Eunwoo;Shin, Minyoung;Kim, Jongwoo
    • Journal of Intelligence and Information Systems
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    • v.24 no.1
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    • pp.1-23
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    • 2018
  • From the 21st century, various high-quality services have come up with the growth of the internet or 'Information and Communication Technologies'. Especially, the scale of E-commerce industry in which Amazon and E-bay are standing out is exploding in a large way. As E-commerce grows, Customers could get what they want to buy easily while comparing various products because more products have been registered at online shopping malls. However, a problem has arisen with the growth of E-commerce. As too many products have been registered, it has become difficult for customers to search what they really need in the flood of products. When customers search for desired products with a generalized keyword, too many products have come out as a result. On the contrary, few products have been searched if customers type in details of products because concrete product-attributes have been registered rarely. In this situation, recognizing texts in images automatically with a machine can be a solution. Because bulk of product details are written in catalogs as image format, most of product information are not searched with text inputs in the current text-based searching system. It means if information in images can be converted to text format, customers can search products with product-details, which make them shop more conveniently. There are various existing OCR(Optical Character Recognition) programs which can recognize texts in images. But existing OCR programs are hard to be applied to catalog because they have problems in recognizing texts in certain circumstances, like texts are not big enough or fonts are not consistent. Therefore, this research suggests the way to recognize keywords in catalog with the Deep Learning algorithm which is state of the art in image-recognition area from 2010s. Single Shot Multibox Detector(SSD), which is a credited model for object-detection performance, can be used with structures re-designed to take into account the difference of text from object. But there is an issue that SSD model needs a lot of labeled-train data to be trained, because of the characteristic of deep learning algorithms, that it should be trained by supervised-learning. To collect data, we can try labelling location and classification information to texts in catalog manually. But if data are collected manually, many problems would come up. Some keywords would be missed because human can make mistakes while labelling train data. And it becomes too time-consuming to collect train data considering the scale of data needed or costly if a lot of workers are hired to shorten the time. Furthermore, if some specific keywords are needed to be trained, searching images that have the words would be difficult, as well. To solve the data issue, this research developed a program which create train data automatically. This program can make images which have various keywords and pictures like catalog and save location-information of keywords at the same time. With this program, not only data can be collected efficiently, but also the performance of SSD model becomes better. The SSD model recorded 81.99% of recognition rate with 20,000 data created by the program. Moreover, this research had an efficiency test of SSD model according to data differences to analyze what feature of data exert influence upon the performance of recognizing texts in images. As a result, it is figured out that the number of labeled keywords, the addition of overlapped keyword label, the existence of keywords that is not labeled, the spaces among keywords and the differences of background images are related to the performance of SSD model. This test can lead performance improvement of SSD model or other text-recognizing machine based on deep learning algorithm with high-quality data. SSD model which is re-designed to recognize texts in images and the program developed for creating train data are expected to contribute to improvement of searching system in E-commerce. Suppliers can put less time to register keywords for products and customers can search products with product-details which is written on the catalog.

A Study on the TradeCard Payment System in the Cyber Trade Era (사이버 무역시대의 TradeCard 결제시스팀에 관한 고찰)

  • 전순환
    • The Journal of Information Technology
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    • v.4 no.4
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    • pp.113-128
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    • 2001
  • The international trade industry is on the brink of a radical Internet-driven transformation. TradeCard is a payment and settlement system that is an alternative to letters of crdeit. That is, TradeCard is a business-to-business e-commerce infrastructure that enables buyers and sellers to conduct and settle international trade transactions securely over the Internet. Paperless, payment-guaranteed international trade transactions - which eliminate the traditional letters of credit with electronic certifications - are widely considered the most difficult B2B transactions to conduct. The TradeCard system was initially built to accommodate and process this complex, cross-border payment type at a US$100 service fee for each transaction of up to US$100,000 since November 1999.

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Biometrics System for User Authentication in e-biz (전자상거래에서 사용자 인증을 위한 생체측정 시스템)

  • 조동욱;이내준;한길성
    • Journal of the Korea Computer Industry Society
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    • v.2 no.10
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    • pp.1329-1338
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    • 2001
  • This paper describes the biometrics system for user authentication in electronic commerce. At present, social demands are increasing for information security techniques against the information wiretapping in open communications network. For this, these techniques such as anti-virus, firewall, VPN, authentication, cryptography, public key based systems and security management systems have been developed. This Paper discusses the user authentication for the implementation of efficient electronic payment systems. In particular. user authentication system has keen developed using biometrics techniques and the effectiveness of this paper is demonstrated by several experiments.

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Automated Negotiation Methods for Multi-attribute Negotiation (다속성 협상문제 해결을 위한 자동협상 방법론 연구)

  • Choi, Hyung-Rim;Hong, Soon-Goo;Park, Young-Jae;Park, Yong-Sung;Yoo, Dong-Yeol;Park, Byung-Joo;Sadeh, Norman M.;Kim, Hyun-Soo
    • Asia pacific journal of information systems
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    • v.16 no.4
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    • pp.1-25
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    • 2006
  • This research approached the negotiation problem from the seller's perspective in the make-to-order manufacturing industry in order to solve the multi-attribute automated negotiation problem. To this end, more than 'two negotiation attributes are defined and a preferred value of each negotiation alternative is calculated based on the entropy value of each attribute. And then, the best option is selected according to the utility function of each negotiator, a penalty of negotiation delay, and conviction of possibility of negotiation success. The suggested automated negotiation methods in this study can be employed for the development of advanced automated negotiation systems.