• 제목/요약/키워드: Amazon

검색결과 295건 처리시간 0.028초

A Brief Analysis of Amazon and Distribution Strategy

  • Hahn, Yoonah;Kim, Dongho;Youn, Myoung-Kil
    • 유통과학연구
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    • 제16권4호
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    • pp.17-20
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    • 2018
  • Purpose - The purpose of this paper is to analyze and illustrate Amazon's business strategies and its success in terms of its distribution strategy and business practices. Research design, data, and methodology - This is an analytical case study that examines Amazon's business strategies to demonstrate the importance of technologies to the success and sustainability of its organization. Results - The analysis indicates that the business strategies, including technology, distribution infrastructure, and customer service, are the most vital factor for the success and rise of Amazon, and these strategies have separated Amazon from its competitors in both e-tail and brick and mortar retail industries. Conclusions - Given Amazon's continued growth that came with its constant strive for delivery and cost efficiency, technology innovation, and customer satisfaction, it was inevitable that Amazon would eventually venture into different types of businesses. The previous and current Amazon's business strategies demonstrate that Amazon will continue to focus on developing and implementing new and creative strategies to separate itself from the rest of the retail and e-businesses. Furthermore, retail businesses in the most high-tech countries in the world, including Japan, Korea, and Russia, may have to adopt business strategies that are similar to those of Amazon to maintain their competitiveness.

A Comparative Study on Over-The-Tops, Netflix & Amazon Prime Video: Based on the Success Factors of Innovation

  • Song, Minzheong
    • International journal of advanced smart convergence
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    • 제10권1호
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    • pp.62-74
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    • 2021
  • We compare Over-the-Tops (OTTs), Netflix and Amazon Prime Video (APV) with five success factors of innovation. Firstly, Netflix offers better personalized service than APV, because APV has collaborative filtering algorithms to recommend safe bets, not the customers really want. Secondly, APV' user interface is undercooked to lock the members in, even if it has more content and better price offer than Netflix retaining its loyal customers despite the price increase. Thirdly, Netflix has simple subscription model with three tiering, but APV has complicated pricing model having annual and monthly, APV and Prime Video (AV) app, Amazon subscription and extra payment of Amazon Prime Channels (APCs). Fourthly, Amazon has fewer partnership than Netflix especially when it comes to local TV series. Instead, Amazon has live TV channel collaboration including sports content. Lastly, both have strategic and operational agility in their organization well.

An NLP-based Mixed-method Approach to Explore the Impact of Gratifications and Emotions on the Acceptance of Amazon Go

  • Arghya Ray;Subhadeep Jana;Nripendra P. Rana
    • Asia pacific journal of information systems
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    • 제33권3호
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    • pp.541-572
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    • 2023
  • Amazon Go is a cashierless convenience store concept, which is seen as a disruption in the grocery retail segment. Although Amazon Go has the ability to disrupt the retail segment, there are speculations on how Amazon Go will be perceived by users. Existing studies have not utilized user-generated content to understand the factors that affect customer behaviour in case of Amazon Go. Additionally, in case of phygital retail, studies have not attempted at understanding the effect of emotions and gratifications on user behaviour. To address the gap of exploring user perspectives based on their experience, we have examined the impact of gratifications and emotions on the acceptance of phygital retail using user-generated-content. A mixed-method approach has been utilized using only user-generated content. Utilizing topic-modelling based content analysis and emotion analysis on 30 articles related to Amazon Go, we found themes like, convenience, technology, experience, personalization, enjoyment and emotions like, bad, good, annoyance, success. In the empirical analysis, we have utilized 522 reviews about Amazon Go from the cognition and emotion theory stance, and found that hedonic gratifications have a positive impact on challenge emotions. We also found a significant impact of emotions on customer's favourite behaviour.

Application of Convolutional Neural Networks (CNN) for Bias Correction of Satellite Precipitation Products (SPPs) in the Amazon River Basin

  • Alena Gonzalez Bevacqua;Xuan-Hien Le;Giha Lee
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2023년도 학술발표회
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    • pp.159-159
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    • 2023
  • The Amazon River basin is one of the largest basins in the world, and its ecosystem is vital for biodiversity, hydrology, and climate regulation. Thus, understanding the hydrometeorological process is essential to the maintenance of the Amazon River basin. However, it is still tricky to monitor the Amazon River basin because of its size and the low density of the monitoring gauge network. To solve those issues, remote sensing products have been largely used. Yet, those products have some limitations. Therefore, this study aims to do bias corrections to improve the accuracy of Satellite Precipitation Products (SPPs) in the Amazon River basin. We use 331 rainfall stations for the observed data and two daily satellite precipitation gridded datasets (CHIRPS, TRMM). Due to the limitation of the observed data, the period of analysis was set from 1st January 1990 to 31st December 2010. The observed data were interpolated to have the same resolution as the SPPs data using the IDW method. For bias correction, we use convolution neural networks (CNN) combined with an autoencoder architecture (ConvAE). To evaluate the bias correction performance, we used some statistical indicators such as NSE, RMSE, and MAD. Hence, those results can increase the quality of precipitation data in the Amazon River basin, improving its monitoring and management.

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패션상품 해외직접구매 협력서비스 만족에서 해외유통브랜드 친숙도와 국내 이커머스기업 신뢰성의 역할 - 아마존 글로벌 스토어를 중심으로 - (The Role of Global Brand Familiarity and Domestic E-Commerce Corporate Credibility in the Satisfaction of Cross-Border Shopping Cooperation Service of Fashion Product - Focusing on Amazon Global Store -)

  • 이완기;이규혜
    • 한국의류산업학회지
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    • 제24권3호
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    • pp.289-302
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    • 2022
  • This study aimed to provide information to establish a service strategy in cross-border e-commerce through an assessment of consumer satisfaction with a cross-border shopping channel and "amazon global store" managed by 11street, a domestic e-commerce corporation. The influence of brand familiarity with amazon as a global retail brand was tested. The mediating roles of the perceived value and risk of both cross-border shopping and amazon global store were investigated; the moderating role of the domestic e-commerce corporation was also studied. An empirical study was conducted on consumers who had experience using the amazon global store managed by 11street. To verify the hypothesis, data from 200 people was analyzed using PROCESS macro 4.0. The results indicated that familiarity with global brands did not have a direct effect on consumer satisfaction; the effect of global retail brand familiarity on consumer satisfaction was mediated only by the perceived value of cross-border shopping and amazon global store, not by the perceived risks. E-commerce corporate credibility showed a moderated mediation effect by mediating functional values of the amazon global store. For consumer groups with a credibility level of medium and above, the interaction effect of brand familiarity and corporate credibility was significant.

Data Analytics Application: A Case Study of Online Business for Vietnamese Handicraft Products on Amazon

  • Lan, Nguyen Thi Thao;Phuong, Nguyen Pham Anh;Trang, Nguyen Thi My;Huong, Pham Thi My;An, Nguyen Thu;Le, Hoanh-Su
    • Journal of Multimedia Information System
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    • 제8권1호
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    • pp.61-68
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    • 2021
  • The paper is based on data collected from the Amazon website (specific in the Handmade's Category) to understand and analyze Vietnamese artisans' business context. Data analysis is also applied to determine the factors that bring success Handmade products and compare products of the same industry among competitors to find out potential products. By collecting data from Amazon and analyzing the data, we extracted useful information for online business developers. Besides, the list of potential products in Handmade sector can be referred to improve the business and compete with competitors. This paper also proposes solutions to help Vietnamese products become more appealing to international customers on the Amazon website.

담관비대를 동반한 간섬유화에 이환된 어린 아마존 앵무새(orange winged Amazon parrot, Amazona amazonica) (Hepatic Fibrosis and Bile Duct Hyperplasia in a Young Orange Winged Amazon Parrot (Amazona amazonica))

  • 이소영;김대영;박희명
    • 한국임상수의학회지
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    • 제28권6호
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    • pp.617-620
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    • 2011
  • 6개월령 아마존 앵무새(orange winged Amazon parrot, Amazona amazonica)가 2달 간 지속된 체중저하, 식욕감퇴, 복부팽만을 검사 받기 위하여 내원하였다. 신체 검사와 실험실 검사에서 유출성 복수, 아스파라진산 아미노전이효소와 담즙산의 증가 및 알부민-글로불린 비율의 감소와 같은 간부전이 의심되는 소견을 보여주었다. 간 생검을 통하여 담관 비대를 동반한 간섬유화가 진단되었다. 이 증상의 원인은 확실하지 않지만, 간독소에 의한 것으로 여겨진다.

Estimation of Discharge for the Amazon River Branches with Wavelet Analysis

  • Katabira, Kyoichiro;Ogawa, Susumu;Sakurai, Takako;Takagi, Mikio
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.346-348
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    • 2003
  • In this study, we attempted to estimate the discharge of the Amazon River branches from JERS-1/SAR images, which are independent of the weather. We visualized some traces of the Amazon River branches, transformed river shapes into a one-dimensional signal, and calculated the characteristics of the river shapes such as the meandering wavelength and the amplitude with Fourier and wavelet analysis. Then, we related the characteristics of the river shapes with the existing discharge data and derived some regression equations. Finally, we estimated the discharge of the Amazon River branches from the SAR images.

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차세대 도서관 목록의 이용자 서평에 관한 고찰 (A Study on the User-contributed Reviews for the Next Generation Library Catalogs)

  • 윤정옥
    • 한국문헌정보학회지
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    • 제46권2호
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    • pp.115-132
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    • 2012
  • 이 연구의 목적은 차세대 도서관 목록에서 이용자 서평 기능의 이용 현황 및 서지레코드에서 연결될 수 있는 외부 정보원의 이용자 서평의 영향 가능성을 살펴보는 것이다. 2012년 2월 16일부터 4월 4일 사이에 2010년에 출간된 열권의 책을 대상으로 WorldCat에서 소장도서관, 이용자 서평, 태그 및 독서 리스트의 현황 및 변동 추이, 그리고 서지레코드에 연결된 Amazon.com과 GoodReads.com의 이용자 서평 현황을 살펴보았다. WorldCat에서 아직 이용자 참여 기능의 활용도는 매우 낮았으며, 이용자 서평보다는 태그나 독서 리스트를 통한 참여가 더 많았다. 같은 책들에 대한 아마존과 굿리즈의 이용자 서평 참여도는 매우 높았고, 아마존에서 한 권의 책과 관련된 이용자 서평 사례 분석은 이용자 참여 기능이 왜곡될 수 있는 가능성을 암시하였다. 아직은 초기 단계인 도서관 목록에 대한 이용자 참여 기능의 확산 및 안정화 추이의 지속적 관찰, 그리고 이 기능이 이용자의 자료 선택에 미치는 영향의 심층적, 체계적 분석이 필요하다.

네트워크 디스크를 공유하여 SQL 서버의 대용량 스토리지 확보 방법 - Amazon EC2 Windows 환경에서 - (A method of Securing Mass Storage for SQL Server by Sharing Network Disks - on the Amazon EC2 Windows Environments -)

  • 강성욱;최종선;최재영
    • 인터넷정보학회논문지
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    • 제17권2호
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    • pp.1-9
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    • 2016
  • 클라우드 컴퓨팅 환경에서 사용자는 중앙처리장치, 메모리, 네트워크, 저장 장치 등과 같은 인프라를 IaaS(Infrastructure as a Service) 서비스로 제공받을 수 있다. 저장 장치의 경우 서비스 제공자가 제공하는 물리적인 자원들의 인스턴스가 제공하는 저장 용량이 제한되어 있으므로, SQL 서버가 사용할 수 있는 최대 저장 용량을 지원할 수 없다. 본 논문에서는 한정된 용량을 가진 인스턴스들의 네트워크 디스크를 공유하여 SQL 서버에서 사용할 수 있는 대용량의 저장소를 확보하기 위한 방법을 제안한다. 실험을 통해 아마존 EC2 윈도우즈 환경에서 아마존 EBS 볼륨을 사용하는 하나의 인스턴스가 사용할 수 있는 최대 저장 용량을 초과하는 대용량 저장 공간을 확보할 수 있으며, SQL Server를 운영하는 아마존 클라우드 환경에서 디스크 용량 및 성능을 증가시켜 전체적인 SQL Server의 성능을 향상시킬 수 있음을 확인하였다.