• 제목/요약/키워드: Open business model

검색결과 335건 처리시간 0.026초

Analysis of the Open Source Software Sector in China

  • Wu Qiong;Klincewicz Krzysztof;Miyazaki Kmiko
    • 기술혁신연구
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    • 제14권2호
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    • pp.117-141
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    • 2006
  • The paper describes the status and context of the Chinese Open Source Software (OSS) industry and ecosystem based on the analysis of the components of the China OSS Promotion Union. The analysis involves comparisons of several main Chinese developers of Linux operating system and makers of open source counterpart of the popular Microsoft Office package as well as several main Chinese OSS communities. Comparisons concern the technological and business aspect. The findings reveal peculiarities of the divergence of innovative activities of Chinese companies, as well as indicate that the strong government support may at the same time limit the technology selection under rigid competition, especially as foreign open source companies are found to be more focused on hobbyist developers and are able to maintain larger independent communities. Implications of the paper include the need to coordinate global development efforts and adjust science & technology policies in order to stimulate both the development and the diffusion of open source among Chinese companies and individual hobbyists.

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통신사업자의 새로운 사업 모델로서의 개방형 네트워크 서비스 모델 제안 (Proposal of Open Network Service Model as a New Business Model of Telecom Operator)

  • 진명숙;오석
    • 디지털산업정보학회논문지
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    • 제6권2호
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    • pp.81-89
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    • 2010
  • The major worldwide communication network operators have designed and are building up the NGN with various network capabilities, which conventional Internet do not have. The open network service model makes these network capabilities available to the third party of the value added service providers through the standardized API providing users with more intelligent and enhanced services. This paper proposes the open network service model as NaaS (Network as a Service) and examines service models of several levels. It is believed that these efforts presented in this paper will make the network operators expand their service ranges through the opening of invested network resources producing more various communication services for users.

공개소프트웨어 서비스 평가모델(BSEM)에 관한 개념적 연구 (Behavior-Structure-Evolution Evaluation Model(BSEM) for Open Source Software Service)

  • 이승창;박훈성;서응교
    • 유통과학연구
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    • 제13권1호
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    • pp.57-70
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    • 2015
  • Purpose - Open source software has high utilization in most of the server market. The utilization of open source software is a global trend. Particularly, Internet infrastructure and platform software open source software development has increased rapidly. Since 2003, the Korean government has published open source software promotion policies and a supply promotion policy. The dynamism of the open source software market, the lack of relevant expertise, and the market transformation due to reasons such as changes in the relevant technology occur slowly in relation to adoption. Therefore, this study proposes an assessment model of services provided in an open source software service company. In this study, the service level of open source software companies is classified into an enterprise-level assessment area, the service level assessment area, and service area. The assessment model is developed from an on-site driven evaluation index and proposed evaluation framework; the evaluation procedures and evaluation methods are used to achieve the research objective, involving an impartial evaluation model implemented after pilot testing and validation. Research Design, data, and methodology - This study adopted an iteration development model to accommodate various requirements, and presented and validated the assessment model to address the situation of the open source software service company. Phase 1 - Theoretical background and literature review Phase 2 - Research on an evaluation index based on the open source software service company Phase 3 - Index improvement through expert validation Phase 4 - Finalizing an evaluation model reflecting additional requirements Based on the open source software adoption case study and latest technology trends, we developed an open source software service concept definition and classification of public service activities for open source software service companies. We also presented open source software service company service level measures by developing a service level factor analysis assessment. The Behavior-Structure-Evolution Evaluation Model (BSEM) proposed in this study consisted of a rating methodology for calculating the level that can be granted through the assessment and evaluation of an enterprise-level data model. An open source software service company's service comprises the service area and service domain, while the technology acceptance model comprises the service area, technical domain, technical sub-domain, and open source software name. Finally, the evaluation index comprises the evaluation group, category, and items. Results - Utilization of an open source software service level evaluation model For the development of an open source software service level evaluation model, common service providers need to standardize the quality of the service, so that surveys and expert workshops performed in open source software service companies can establish the evaluation criteria according to their qualitative differences. Conclusion - Based on this evaluation model's systematic evaluation process and monitoring, an open source software service adoption company can acquire reliable information for open source software adoption. Inducing the growth of open source software service companies will facilitate the development of the open source software industry.

지역의 버스정보 제공을 위한 Open BIS 플랫폼 및 비즈니스 모델 개발 (Open BIS Platform and Business Model Development for Providing Bus Information in the Area)

  • 강원평;조용성;손승녀;어효경;김경석
    • 한국ITS학회 논문지
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    • 제23권1호
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    • pp.97-111
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    • 2024
  • 개발도상국 및 소규모 지자체는 재정적인 여건이 불리하여 자체 버스정보시스템 도입에 한계가 있다. 하지만, 개발도상국은 열악한 사회 인프라 및 낮은 소득 수준에도 불구하고, 스마트폰의 보급률이 높으며, 온라인 콘텐츠, 소셜 미디어 보급 및 사용률이 매우 높은 실정이다. 스마트폰은 GPS 센서, 카메라 등 위치기반의 정보 수집 및 정보의 제공이 가능하기 때문에 고가의 현장 단말기를 대체할 수 있다. 본 연구는 고가의 현장단말기를 스마트폰으로 대체하고, 센터시스템은 클라우드 서버 기반으로 개발함으로써, 어디에나 적용 가능한 확장형 Open BIS 서비스 제시 및 플랫폼을 개발하고, 비즈니스 모델을 수립하는 것을 목적으로 한다.

A Study on the Business Model of a Fan Community Platform 'Weverse'

  • Song, Minzheong
    • International journal of advanced smart convergence
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    • 제10권4호
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    • pp.172-182
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    • 2021
  • We look at the business model development of a fan community platform 'Weverse' from two-sided platform (TSP) to multi-sided platform (MSP) and investigate its platform business model. From the Rocket Model's theoretical perspective, the results reveal that Weverse firstly focuses on inviting artists as many as possible starting from BTS, then attracts new artists' fans naturally. For success of this TSP, it forms MSP, 'Weverse Shop' to meet two sides' relevant needs timely and filtered. In third stage of connection, various partnerships are attempted in terms of open platform strategies. For instance, by combining 'VLive' and Weverse, Naver's fan platform business is transferred to Weverse. For core transaction through direct and indirect monetization, several cobranding activities are tried. Lastly, regarding optimization, newly born Weverse being launched in the first half of 2022 is supposed to create further synergies with Naver's R&D capabilities in data, AI, and other technologies like metaverse platform 'ZEPETO' which already sells clothing items of Weverse artists.

Bankruptcy Prediction with Explainable Artificial Intelligence for Early-Stage Business Models

  • Tuguldur Enkhtuya;Dae-Ki Kang
    • International Journal of Internet, Broadcasting and Communication
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    • 제15권3호
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    • pp.58-65
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    • 2023
  • Bankruptcy is a significant risk for start-up companies, but with the help of cutting-edge artificial intelligence technology, we can now predict bankruptcy with detailed explanations. In this paper, we implemented the Category Boosting algorithm following data cleaning and editing using OpenRefine. We further explained our model using the Shapash library, incorporating domain knowledge. By leveraging the 5C's credit domain knowledge, financial analysts in banks or investors can utilize the detailed results provided by our model to enhance their decision-making processes, even without extensive knowledge about AI. This empowers investors to identify potential bankruptcy risks in their business models, enabling them to make necessary improvements or reconsider their ventures before proceeding. As a result, our model serves as a "glass-box" model, allowing end-users to understand which specific financial indicators contribute to the prediction of bankruptcy. This transparency enhances trust and provides valuable insights for decision-makers in mitigating bankruptcy risks.

오픈소스 소프트웨어 서비스의 비즈니스 대가 산정 기준에 대한 연구 (A study on the estimate criteria of the business service fee of open source software)

  • 심호성;이재윤;전삼현;김종배
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2014년도 춘계학술대회
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    • pp.63-65
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    • 2014
  • 오픈소스 소프트웨어는 라이선스 비용이 없이 정액제의 구독(Subscription) 방식으로 서비스를 하는 특성이 있다. 이러한 비즈니스 방식은 라이선스 비용과 유지보수 서비스를 통해 과금하는 상용 소프트웨어와는 다른 방식으로 대가 산정이 이루어져야 한다. 하지만 이러한 특성에 대해 공공부문을 포함한 시장 수요자의 이해도가 낮아 오픈소스 소프트웨어를 통한 비즈니스가 활발히 펼쳐지는데 한계가 있는 상황이다. 이에 여러 선행 연구 및 시장 사례를 조사하고 발전시켜 오픈소스 소프트웨어 비즈니스에 적용할 수 있는 대가 산정 기준에 대한 모델을 제시하고자 한다.

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New execution model for CAPE using multiple threads on multicore clusters

  • Do, Xuan Huyen;Ha, Viet Hai;Tran, Van Long;Renault, Eric
    • ETRI Journal
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    • 제43권5호
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    • pp.825-834
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    • 2021
  • Based on its simplicity and user-friendly characteristics, OpenMP has become the standard model for programming on shared-memory architectures. Checkpointing-aided parallel execution (CAPE) is an approach that utilizes the discontinuous incremental checkpointing technique (DICKPT) to translate and execute OpenMP programs on distributed-memory architectures automatically. Currently, CAPE implements the OpenMP execution model by utilizing the DICKPT to distribute parallel jobs and their data to slave machines, and then collects the results after executing these distributed jobs. Although this model has been proven to be effective in terms of performance and compatibility with OpenMP on distributed-memory systems, it cannot fully exploit the capabilities of multicore processors. This paper presents a novel execution model for CAPE that utilizes two levels of parallelism. In the proposed model, we add another level of parallelism in the form of multithreaded processes on slave machines with the goal of better exploiting their multicore CPUs. Initial experimental results presented near the end of this paper demonstrate that this model provides significantly enhanced CAPE performance.

오픈마켓에서 의류분야 매출 증대를 위한 전자상거래 모델 (An Electronic Commerce Model for Increasing Sales in Open Market Area of Clothes)

  • 이현창;서신림;왕하양;신성윤;이양원
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2011년도 제44차 하계학술발표논문집 19권2호
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    • pp.269-271
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    • 2011
  • E-commerce done by between buyers and sellers mainly rely on computer networks and business transactions are carried out according to certain standards of various business activities. E-commerce is based on modern information technology and network technology, financial electronic collection, management, information technology, business and trade information networks into one, aimed at logistics, capital flow and information flow of harmony and unity of the new trade, trade activities of the entire process, electronic, networking and digital. In this paper, we investigate for online shopping, for example, to illustrate the current problems in an area of clothes market. Also we proposed an ideal model appropriate to increase sales and show the analysis results compared to conventional clothes market in open market.

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Misinformation Detection and Rectification Based on QA System and Text Similarity with COVID-19

  • Insup Lim;Namjae Cho
    • Journal of Information Technology Applications and Management
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    • 제28권5호
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    • pp.41-50
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    • 2021
  • As COVID-19 spread widely, and rapidly, the number of misinformation is also increasing, which WHO has referred to this phenomenon as "Infodemic". The purpose of this research is to develop detection and rectification of COVID-19 misinformation based on Open-domain QA system and text similarity. 9 testing conditions were used in this model. For open-domain QA system, 6 conditions were applied using three different types of dataset types, scientific, social media, and news, both datasets, and two different methods of choosing the answer, choosing the top answer generated from the QA system and voting from the top three answers generated from QA system. The other 3 conditions were the Closed-Domain QA system with different dataset types. The best results from the testing model were 76% using all datasets with voting from the top 3 answers outperforming by 16% from the closed-domain model.