• 제목/요약/키워드: Coupang

검색결과 26건 처리시간 0.026초

Current State, Problems and Promotion of Coupang

  • Seo, Jung-Hwa;Kim, Se-Jin;Youn, Myoung-Kil
    • 융합경영연구
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    • 제6권1호
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    • pp.1-8
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    • 2018
  • Purpose - Local social commerce market has grown up remarkably. And, Coupang has shown new delivery strategy of rocket delivery. Making new paradigm at local market, Coupang has expanded market scale. This study investigated state of local social commerce market, weight and promotion strategy of Coupang market to find out competitiveness edge of Coupang. Research design, data, and methodology - The study investigated state and concept of social commerce to find out state, problems and competitiveness of social commerce. New distribution service was short of precedent studies. Statistical analysis and experimental analysis were not used, and interview was done to investigate three of social commerce businesses. Results - CRM construction is insufficient to have poor system, Local delivery system could not be made enough at overnight delivery and customers were dissatisfied with ties with another company. Promotion shall be done by delivery system for increase of profitability, funding for more investment, chatbot to build new customer control system, and new delivery system to produce profit. Conclusions - Coupang and others have grown up rapidly to worsen profit and to jeopardize survival. Excessive initial investment has threatened the businesses, for instance, low sales of Amazon, excessive expenses, bench marking of logistics system, and others.

A Case Study of Valuation Considering the Characteristics of E-Commerce Distribution: Focusing on the Coupang IPO

  • Ilhang SHIN;Inkyung YOON;Hansol LEE
    • 유통과학연구
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    • 제21권4호
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    • pp.91-101
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    • 2023
  • Purpose: Research on the valuation of the e-commerce distribution companies is necessary because the traditional valuation methodology cannot be easily applied. Considering the valuation and initial public offering (IPO) of Coupang, Korea's leading e-commerce company, this study contributes to the literature by examining various valuation methods applicable to corporate valuation in the e-commerce industry and provides their implications. Research design, data and methodology: This case study investigates research, analyst reports, news articles, and magazines to review the valuation methods for companies in the e-commerce industry and analyzes the case of the Coupang IPO. Results: A valuation method that considers growth potential, which is important for companies in the e-commerce industry, is used for IPOs. This led to Coupang's successful IPO on the New York Stock Exchange despite its accumulated losses. However, the continued price decline since listing suggests that Coupang's valuation should have considered more factors. Conclusions: This study provides guidelines for the valuation of companies in the e-commerce industry, which eventually improves the overall industry. Moreover, this study provides directions for improving the valuation methods for e-commerce firms.

이커머스 후불결제(BNPL) 수용에 영향을 미치는 요인: 네이버쇼핑과 쿠팡 간 다중집단 비교 (Factors Affecting Consumers' Acceptance of e-Commerce Consumer Credit Service: Multiple Group Path Analysis by Naver Shopping and Coupang)

  • 김수진;모정훈
    • 한국전자거래학회지
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    • 제27권2호
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    • pp.105-135
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    • 2022
  • 코로나19로 인한 이커머스 거래의 급증으로 해외에서는 Buy Now Pay Later(선구매 후결제, 이하 BNPL)가 밀레니얼 세대 사이에서 차세대 결제 수단으로 부상했다. 국내에서는 네이버 쇼핑과 쿠팡이 후불결제를 제공해 고객 락인(lock-in) 효과, 카드사 수수료 절감, 소매금융사업 진출 등을 도모한다. 그러나 소비자 관점에서 후불결제의 수용에 영향을 미치는 요인에 관한 국내 연구는 부족하다. 이에 20~30대 대상으로 실증연구를 진행한 결과, 후불결제 수용에 영향을 미치는 요인은 네이버쇼핑은 호환성>혁신저항>충동구매 성향, 쿠팡은 호환성> 상대적 이점>혁신저항>추가가치 순으로 나타났다. 한편 네이버쇼핑은 충동구매 성향이 수용의도에 정(+)의 영향을 미치므로 연체율 관리가 관건이며, 쿠팡은 충동구매 성향이 지각된 위험에 정(+)의 영향을 미치므로 연체료, 신용등급 하락 등 위험 요소를 충분히 전달하고 후불결제로 유도한다는 느낌을 소비자가 받지 않도록 해야 한다. 후불결제 수용을 높이려면 타깃 고객을 세분화하고 버티컬 커머스와 제휴하는 방안을 추천한다.

자동화, 대형화로 인한 물류센터의 건축적 변화에 대한 고찰 - 쿠팡, 이마트, Amazon 물류센터의 사례를 중심으로 - (A Study on the Architectural Changes of the Logistics Center due to Automation and Enlargement - Focusing on the case of Coupang, E-Mart, Amazon Logistics Centers -)

  • 조용현;최춘웅
    • 대한건축학회논문집:계획계
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    • 제36권1호
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    • pp.37-48
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    • 2020
  • Logistics centers, distribution centers, or warehouse facilities increasingly dominate urban and suburban landscapes, their enormous but blank, repetitive facades completely overshadowing adjacent buildings. Mostly ignored by architects, this new building type symbolically represents the arrival of post-anthropocene, or post-urbicene era of architecture, in which an increasing portion of our built environment will not be intended for human occupancy, but rather for use by machines and artificial intelligence. As a new wave of logistics centers are becoming more automated, and more supersized, it is important to deepen architects' understanding of the organizational logic and programming factors that inform the overall design decisions for these facilities. With a particular focus on three case studies--Coupang, E-Mart, and Amazon Fulfillment Centers, this research examines the current trends in automation and expansion of logistics centers, and offers an analysis and forecast for future facilities in South Korea.

A Study on the Corporate Management Strategy of OTT Service: Focusing on Coupang Play

  • Jae Hyun, Cho;Min Jung, Kang
    • International Journal of Internet, Broadcasting and Communication
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    • 제15권1호
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    • pp.150-156
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    • 2023
  • In a recent study, the phenomena of attention being drawn to the media business, particularly over-the-top (OTT) services, was the focus. Particularly, after the Squid Game was broadcast in September 2021, the total number of Netflix users had topped 213.6 million since the company first entered the domestic market. Domestic companies have also introduced OTT services like 'Wave', 'Tving', and 'Watcha Play' to capitalize on this market trend. However, questions persist about how Korea's native OTT providers, both large and small, are being harmed by Netflix's strong financial position and massive content quantity. In order to offer realistic performance metrics, we analyze Coupang Play among domestic OTT service providers after reviewing the business model and management strategy of representative OTT service firms.

이커머스 유료멤버십의 혜택과 희생요인이 지각된 가치와 이커머스 지속이용의도에 미치는 영향에 관한 연구: 쿠팡 로켓와우와 네이버 플러스 멤버십의 비교를 중심으로 (A Study on the effect of Benefits and Sacrifices factors of e-commerce paid membership on the Perceived Value and Intention to contiue using e-commerce)

  • 박소언;이상우
    • 한국정보시스템학회지:정보시스템연구
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    • 제33권1호
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    • pp.133-157
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    • 2024
  • Purpose The purpose of this study is to identify the utility and sacrifice factors of paid membership in domestic e-commerce based on the value-based acceptance model, and to determine its impact on perceived value and intention to continue using e-commerce. Design/methodology/approach This study confirmed the perceived benefits and sacrifice factors of e-commerce paid membership through in-depth interviews, and verified the research model through an online survey. Findings The study identifies seven perceived benefit factors(differentiation, enjoyment, sharing, point benefit, discount benefit, contents benefit, and delivery benefit) and three perceived sacrifice factors(fee, opportunity loss, complexity). Structural model verification reveals that discount benefit, delivery benefit, and opportunity loss significantly impact the perceived value in Coupang Rocket Wow, while discount benefit, point benefit, and fee significantly influence the perceived value in Naver Plus membership. The perceived value of both memberships positively influences the intention to continue using the respective e-commerce platforms. A comparison highlights a significant difference in the impact of opportunity loss on perceived value between Coupang Rocket Wow and Naver Plus memberships.

OTT 앱 리뷰 분석을 통한 서비스 개선 기회 발굴 방안 연구 (Exploring Service Improvement Opportunities through Analysis of OTT App Reviews)

  • 이중민;송지훈
    • 한국산업융합학회 논문집
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    • 제27권2_2호
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    • pp.445-456
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    • 2024
  • This study aims to suggest service improvement opportunities by analyzing user review data of the top three OTT service apps(Netflix, Coupang Play, and TVING) on Google Play Store. To achieve this objective, we proposed a framework for uncovering service opportunities through the analysis of negative user reviews from OTT service providers. The framework involves automating the labeling of identified topics and generating service improvement opportunities using topic modeling and prompt engineering, leveraging GPT-4, a generative AI model. Consequently, we pinpointed five dissatisfaction topics for Netflix and TVING, and nine for Coupang Play. Common issues include "video playback errors", "app installation and update errors", "subscription and payment" problems, and concerns regarding "content quality". The commonly identified service enhancement opportunities include "enhancing and diversifying content quality". "optimizing video quality and data usage", "ensuring compatibility with external devices", and "streamlining payment and cancellation processes". In contrast to prior research, this study introduces a novel research framework leveraging generative AI to label topics and propose improvement strategies based on the derived topics. This is noteworthy as it identifies actionable service opportunities aimed at enhancing service competitiveness and satisfaction, instead of merely outlining topics.

Measuring Industry Regulations Using an Agent-based Model: The Case of Online Games in Korea

  • Taekyung Kim;Seongmin Jeon;Jongil Kim
    • Asia pacific journal of information systems
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    • 제29권2호
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    • pp.165-180
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    • 2019
  • As game industry prospers, the negative side of games becomes highlighted as well as its contributions to economy growth. In spite of strong arguments for the necessity to regulations as a means to decrease addiction or overindulgence, research has produced future suggestions rather than quantifiable evidence. In this paper, we propose adopting a simulation approach in addition to quantitative approaches to better understand optimal regulatory levels since a simulation approach can visualize unexpected side effects of regulations. In this study, we suggest the application of an agent-based model (ABM) as a smart service to measure the effects of regulatory policies. We review cases applying ABM in various domains and consider the possibility of using an ABM to understand the effectiveness of web board-game regulations. We find that the ABM approach would be useful in several areas, such as the analysis of regulatory effects that reflect a variety of characteristics, the measurement of micro-regulatory effects, and the simulation of regulations.

소셜커머스 외식상품 재이용의도의 영향요인 - 지각된 위험과 가격의식성을 중심으로 - (Factors Influencing the Reuse Intention of Social Commerce Foodservice Product - Perceived Risk and Price Consciousness -)

  • 전현모;권나경
    • 한국조리학회지
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    • 제22권4호
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    • pp.114-127
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    • 2016
  • 본 연구에서는 소셜커머스를 이용하는 외식소비자들을 대상으로 재이용의도에 영향을 미치는 요인으로 지각된 위험과 상품구매 시 가격을 고려하는 정도인 가격의식성을 제시하여 영향관계를 검증해 보고자 한다. 이러한 검증결과를 통해 외식소비자들의 소셜커머스에 대한 행동의도를 파악하여 외식소셜커머스 관련 업체들의 마케팅전략 수립 시 활용할 수 있는 유용한 실무적 시사점을 제공하는데 본 연구의 목적을 두고자 한다. 연구의 공간적 범위와 조사대상은 소셜커머스에서 외식상품을 구매한 경험이 있는 전국의 20세 이상 남녀 내국인 거주자로 하였으며, 표본추출을 위한 소셜커머스 업체는 연간 방문자 수 기준으로 2014년 쇼핑 앱 순위에서 1위를 차지한 쿠팡으로 선정하였다. 조사대상자 중에서 쿠팡을 이용해 외식상품을 구매한 경험이 있는 지를 사전질문을 통해 파악한 후 경험이 있다고 응답한 사람을 대상으로 설문조사를 실시하였다. 연구결과, 정보위험과 개인보안위험, 심리적 위험, 시간손실위험은 재이용의도에 부정적인 영향이 있는 것으로 나타났으나 사회적 위험과 재무적 위험은 아무런 영향을 미치지 않는 것으로 나타났다. 가격의식성은 재이용의도에 긍정적인 영향을 미치는 것으로 나타났다. 외식소비자들의 지속적인 소셜커머스 이용에 영향을 미치는 요인으로 지각된 위험과 가격의식성의 중요성을 규명하였다.

균형 랜덤 포레스트를 이용한 이륜차 보험사기 적발 모형 개발 (Bike Insurance Fraud Detection Model Using Balanced Randomforest Algorithm)

  • 김승훈;이수일;김태호
    • 디지털융복합연구
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    • 제20권2호
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    • pp.241-250
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    • 2022
  • COVID-19 여파로 인한 비대면 서비스와 가정 재정 불안정성의 증가로 이륜차 보험사기 발생이 예상되고 있다. 이와 함께 보험사기 수법도 갈수록 교묘해지고 있다. 하지만 비대면 배달 수요와 연관된 이륜차 교통사고와 보험사기 적발 모형 관련 연구는 매우 미흡한 실정이다. 이에 본 연구는 보험사기의 표본 편중문제를 해결하기 위해 균형 랜덤포레스트 알고리즘을 이용하고 보험사기 조사 전문가의 정성적인 판단 기준을 반영한 변수를 모델에 포함하여 적용성을 향상시키며 적발력 높은 이륜차 보험사기 모형을 개발하고자 한다. 보험사기 적발 모형 개발 결과, 기존의 비균형 랜덤 포레스트 모형에 비해 균형 랜덤 포레스트가 보험 사기혐의자를 분류하는 데 있어 통계적으로 우수한 점을 확인할 수 있었다. 특히, 총 26개의 변수를 토대로 탐색적 변수 조합을 적용한 모형의 예측 성능이 가장 높았지만 일부 변수만을 사용한 확인적 모형의 예측 성능도 크게 떨어지지 않은 와중에, 정성적인 보험사기 전문가가 선정한 변수만을 사용한 확인적 모형은 예측력이 떨어지는 것을 확인하였다. 또한, 총 26개의 변수 중 운전자 성별, 연령, 운전자 피보험자 일치 여부, 미수선 청구금액, 대인보험금 등이 중요한 변수로 확인되어 이를 활용해 이륜차 보험사기 혐의자 선별을 위한 적극적인 대처가 필요해 보인다.