• 제목/요약/키워드: Knowledge-based platform

검색결과 278건 처리시간 0.024초

지식생태계의 조직화: 플랫폼 리더의 조직역량이 지식창출을 위한 기업간 협력의 확장에 미치는 영향 (Organizing knowledge ecosystems: The influence of organizational capabilities of platform leaders on multi-firm collaborations for knowledge creation)

  • 정동일;박상찬;김보경
    • 지식경영연구
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    • 제16권2호
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    • pp.1-27
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    • 2015
  • This paper presents a knowledge-based view of platform-centered collaborations among multiple organizations. Studies of technological innovation and knowledge creation have broadened beyond their initial emphasis on internal development within an organization or simple exchange of ideas between two parties toward complex collaboration among many organizations at the level of platform-based knowledge ecosystems. Platforms serve as an interface between different groups of producers and consumers in a variety of multi-sided knowledge markets such as smartphone operating systems and video games industries. This study is an exploratory examination to offer theoretical understanding of how the organizational capabilities of platform leaders help expand a network of platform participants. The growth of platform participants is particularly important in the early stage of any platforms as the concept of network effects suggests that the platform with the largest number of participants will capture entire markets. Building upon organization studies and network economics theory on multisided markets, this paper focuses on the role of platform leaders in expanding platform-based collaboration. In our view, platform leaders develop varying levels of three organizational capabilities to discern quality of potential participants, to attract them to actually participate in collaboration, and to maintain long-term exchange relations in the ecosystem. We suggest that the capabilities of platform leaders will have a positive effect on the expansion of platform participants to secure network effects, and also examine several contextual factors that moderate the relationship between a platform leader's capacity and platform expansion.

블록체인 기반의 지식공유 플랫폼 연구 (A Study on the Blockchain based Knowledge Sharing Platform)

  • 김협
    • 한국전자거래학회지
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    • 제27권1호
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    • pp.95-109
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    • 2022
  • 블록체인 기반의 플랫폼은 거래기록의 분산처리 및 암호화 기술 적용을 통해 데이터 무결성, 신뢰성, 보안성을 확보할 수 있다. 기존 지식공유 플랫폼에서는 정보 비대칭, 중앙화 등의 이유로 창출된 지식이 충분히 공유되거나 활용되지 못하는 문제점이 존재하지만 이에 관한 연구는 그동안 거의 이루어지지 않았다. 본 연구에서는 블록체인 기술, 토큰 이코노미, 지식공유, 동기이론, 사회적 교환 이론의 선행연구를 바탕으로 블록체인 기반의 지식공유 플랫폼에 대한 사례 연구와 발전 가능성에 대하여 살펴보고자 한다. 블록체인 기반의 플랫폼은 정보 비대칭성을 해소하고, 지식공유 흐름의 일원화 및 탈중앙화를 통한 권한 집중화 배제를 통해 불필요한 업무 절차를 간소화하고, 플랫폼이 생산하는 지식에 대한 접근과 활용을 강화하여 지식공유의 활성화에 이바지할 수 있을 것으로 기대한다.

금형·성형 기술을 위한 생산기반 지식공유형 플랫폼 개발 (Development of Knowledge Sharing Platform for Molding & Forming Technology)

  • 배성민;이형욱;허영무;신광호;이정원;윤길상
    • 소성∙가공
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    • 제20권8호
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    • pp.534-539
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    • 2011
  • The production technology is the basic of manufacturing for various materials and components. This technology can influence the quality and productivity of leading export products such as automobile, ship, and electronic device. Besides, the production technology is very useful to apply to other manufacturing fields and has a great ripple effect. However, it is very difficult to make the production technology into standardization and knowledge-based database because the production technology is dependent in hands-on experience. In this study, the knowledge-sharing platform for the molding & forming technology which is a branch of the production technology is introduced. This platform is web-based system and has the knowledge authoring tool technologies storage, semantic database, and web portal service. Therefore, the molding & forming technology can be shared and spread easily by the knowledge-sharing platform.

Semantic-based Mashup Platform for Contents Convergence

  • Yongju Lee;Hongzhou Duan;Yuxiang Sun
    • International journal of advanced smart convergence
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    • 제12권2호
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    • pp.34-46
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    • 2023
  • A growing number of large scale knowledge graphs raises several issues how knowledge graph data can be organized, discovered, and integrated efficiently. We present a novel semantic-based mashup platform for contents convergence which consists of acquisition, RDF storage, ontology learning, and mashup subsystems. This platform servers a basis for developing other more sophisticated applications required in the area of knowledge big data. Moreover, this paper proposes an entity matching method using graph convolutional network techniques as a preliminary work for automatic classification and discovery on knowledge big data. Using real DBP15K and SRPRS datasets, the performance of our method is compared with some existing entity matching methods. The experimental results show that the proposed method outperforms existing methods due to its ability to increase accuracy and reduce training time.

Plan for Construction and Utilization of Knowledge-Service Platform for Supporting Biomimicry Technology Development

  • Seo, Hyunjin;Bae, Haejin;Kim, Sun-Joong;Kim, Jinhee
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • 제3권3호
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    • pp.178-186
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    • 2022
  • In order to support biomimicry technology development, it is necessary to develop an omnidirectional service platform which can recommend principles of biomimicry and business ideas, providing experts' networks and carrying out their relevant education and promotion on the ground of baseline data and application research materials related to biomimicry. This study was conducted to establish any probable plans for construction and utilization of the future open-platform which will collect and serve the technology of biomimicry. Accordingly, biological and ecological information databases were examined along with the appreciation of construction and management of major biomimicry DB, and, based on the materials from the interview of related experts, a customer journey map was schematized. Lastly, in order to suggest a mid-to-long-term target-model, the roles of a future biomimicry knowledge service-platform were determined along with the potential plans for its construction and management based on case analysis and customers' needs.

Knowledge Extractions, Visualizations, and Inference from the big Data in Healthcare and Medical

  • Kim, Jin Sung
    • 한국지능시스템학회논문지
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    • 제23권5호
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    • pp.400-405
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    • 2013
  • The purpose of this study is to develop a composite platform for knowledge extractions, visualizations, and inference. Generally, the big data sets were frequently used in the healthcare and medical area. To help the knowledge managers/users working in the field, this study is focused on knowledge management (KM) based on Data Mining (DM), Knowledge Distribution Map (KDM), Decision Tree (DT), RDBMS, and SQL-inference. The proposed mechanism is composed of five key processes. Firstly, in Knowledge Parsing, it extracts logical rules from a big data set by using DM technology. Then it transforms the rules into RDB tables. Secondly, through Knowledge Maintenance, it refines and manages the knowledge to be ready for the computing of knowledge distributions. Thirdly, in Knowledge Distribution process, we can see the knowledge distributions by using the DT mechanism.Fourthly, in Knowledge Hierarchy, the platform shows the hierarchy of the knowledge. Finally, in Inference, it deduce the conclusions by using the given facts and data.This approach presents the advantages of diversity in knowledge representations and inference to improve the quality of computer-based medical diagnosis.

A Study on a Distributed Data Fabric-based Platform in a Multi-Cloud Environment

  • Moon, Seok-Jae;Kang, Seong-Beom;Park, Byung-Joon
    • International Journal of Advanced Culture Technology
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    • 제9권3호
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    • pp.321-326
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    • 2021
  • In a multi-cloud environment, it is necessary to minimize physical movement for efficient interoperability of distributed source data without building a data warehouse or data lake. And there is a need for a data platform that can easily access data anywhere in a multi-cloud environment. In this paper, we propose a new platform based on data fabric centered on a distributed platform suitable for cloud environments that overcomes the limitations of legacy systems. This platform applies the knowledge graph database technique to the physical linkage of source data for interoperability of distributed data. And by integrating all data into one scalable platform in a multi-cloud environment, it uses the holochain technique so that companies can easily access and move data with security and authority guaranteed regardless of where the data is stored. The knowledge graph database mitigates the problem of heterogeneous conflicts of data interoperability in a decentralized environment, and Holochain accelerates the memory and security processing process on traditional blockchains. In this way, data access and sharing of more distributed data interoperability becomes flexible, and metadata matching flexibility is effectively handled.

중국 유료 지식 플랫폼의 발전현황과 사례분석 : 즈후(知乎)를 중심으로 (A Study on the Paid Knowledge Platform in China : Focused on Zhihu)

  • 림빈;임영환;심근정;이요셉
    • 문화기술의 융합
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    • 제7권4호
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    • pp.623-628
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    • 2021
  • 양질의 지식에 대한 끊임없는 수요와 유료 콘텐츠에 대한 긍정적인 인식의 변화로 인하여 유료 지식 플랫폼 시장은 빠르게 성장하고 있다. 그 중에서도 중국의 유료 지식 플랫폼의 성장은 압도적이다. 다양한 유료지식 플랫폼들이 몇 년에 걸쳐서 중국에서 등장하였고 그 중에서도 즈후는 가장 큰 점유율을 차지하고 있다. 중국의 유료 지식 플랫폼에 대한 연구는 다소 있었으나 즈후를 중심으로 진행한 연구는 상대적으로 부족하여 즈후에 대한 연구를 진행하게 되었다. 본 논문에서는 중국 유료 지식 플랫폼의 발전현황을 살펴보고 즈후 앱의 메뉴구성을 기반으로 사용자에게 제공되는 기능들을 분석하였고 즈후의 비즈니스 모델을 탐색하였다. 또한 즈후의 특징 요소들을 분석하였다. 본 논문이 유료 지식 플랫폼 연구에 있어서 참고 자료가 될 수 있기를 기대한다.

디지털뱅킹 플랫폼 기반 핀테크 사례 연구: 코스콤 (A Study on Digital Banking Platform-based FinTech Case: Koscom)

  • 정이철;이상기;김희웅
    • 지식경영연구
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    • 제21권1호
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    • pp.61-78
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    • 2020
  • Recently, in the global financial transaction field, global transactions using computer systems and server hubs between foreign exchanges beyond the one-dimensional offline transactions and two-dimensional online transactions have been actively conducted. In the previous research by Lee Hyung-wook and Lee Min-jae (2018), as the globalization has accelerated following the development of digital technology and the expansion of ubiquitous communication network, the role of companies, the attribute of economic value creation and economic structure are being reorganized. It is said that O2O (Online to Offline) transactions are increasing due to the development. As a result, a new financial transaction paradigm is emerging that solves the inconveniences of existing financial services and enhances speed and convenience. Considering the global network trend and the rapidly developing and evolving digital bank environment, the necessity of utilizing the business platform model is emerging. However, despite this necessity, there are very limited cases in which such an attempt has been applied in practice. Accordingly, this study seeks to explore the business platform of the new financial transaction system. Specifically, the case study systematically examines the actual implementation of a unique network connection model with Koscom's global investment bank, which is currently in charge of the domestic financial transaction system, and improves ICT innovation performance and process through this. I would like to suggest a solution. In particular, this study analyzed a variety of business model construction and use cases by pursuing a platform connection with digital banks, which has recently been increasingly in demand. Therefore, this study intends to pursue the original and long-term profitability of the company by utilizing ICT innovation and platform business model, and also analyzes the convenience and excellence of trading for institutional and individual investors using the platform of digital bank. The implications of this study are significant in that it explores and explores the actual cases of ICT innovation and additional digital bank platform-connected business models based on this, and suggests a unique and preemptive business strategy of the company in the future.

문화에 따른 개방형 협업 지식공유 활동 비교 연구: 집단주의 문화와 개인주의 문화를 중심으로 (Cross-cultural Study on Knowledge Sharing in Open Collaboration: Collectivism vs. Individualism)

  • 백현미;이새롬
    • 지식경영연구
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    • 제19권2호
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    • pp.133-150
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    • 2018
  • To cope with the rapid changes in the corporate environment, the creation of innovative output through various forms of collaboration have been discussed. For open collaborations, contributors who distribute to various countries and cultures are able to share knowledge via the internet without physical rewards or responsibilities. In this study, we focused on the open source software project, which is a representative open collaboration. We investigated the factors that affect the knowledge contribution of developers of various countries within the open collaboration platform. Specifically, we investigated the open collaborative nature of multi-culture developers by dividing cultures according to collectivism and individualism. We collected data on 26,604 developers using a python based web crawler for GitHub which is an open source software development platform, and conducted cross-cultural study. This paper contributes to the field of knowledge management by suggesting various impacts of antecedents such as hireability, and information exposure on knowledge sharing according to culture.