• The Journal of Society for e-Business Studies
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• v.23 no.1
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• pp.1-22
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• 2018

The value chain has been utilized as a strategic tool to improve competitive advantage, mainly at the enterprise level and at the industrial level. However, in order to conduct value chain analysis at the enterprise level, the client companies of the parent company should be classified according to whether they belong to it's value chain. The establishment of a value chain for a single company can be performed smoothly by experts, but it takes a lot of cost and time to build one which consists of multiple companies. Thus, this study proposes a model that automatically classifies the companies that form a value chain based on actual transaction data. A total of 19 transaction attribute variables were extracted from the transaction data and processed into the form of input data for machine learning method. The proposed model was constructed using the Random Forest algorithm. The experiment was conducted on a automobile parts company. The experimental results demonstrate that the proposed model can classify the client companies of the parent company automatically with 92% of accuracy, 76% of F1-score and 94% of AUC. Also, the empirical study confirm that a few transaction attributes such as transaction concentration, transaction amount and total sales per customer are the main characteristics representing the companies that form a value chain.

• Management & Information Systems Review
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• v.32 no.5
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• pp.45-68
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• 2013

The goal of supply chain integration is to improve the effectiveness and efficiency of supply chain in order to deliver customer value. So, the fit of between supply chain integration strategy and customer value strategy is very important. Therefore, this study explores the different types of relationship between supply chain integration and customer value, as well as in the firm performances. Cluster analysis is used to develop the typology of supply chain integration, and five typology (High Internal Oriented Integration, Medium Oriented Internal Integration, High Supply Chain Integration, High Customer Oriented Integration, Medium Oriented External Integration) are identified. Analysis of variance is used to test the relationship between supply chain integration typology and customer value, and firm performances. The results show that there are statistically significant differences in customer value and firm performances.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1281-1283
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• 2012

향후 도래할 융합시대의 국가적 발전을 위하여 6T 첨단기술 간의 융합기술을 예측하고 지원하기 위한 거버넌스 체계의 구축이 필요하며, 전략 산업 발굴 및 R&D 지원을 위해서 새로이 발생할 융합기술의 분류체계 분석이 필요하다. 본 연구에서는 6T중 문화(Culture)와 기술이 상호적으로 융합하여 만들어지는 CT(Culture Technology)를 기준으로 연구를 진행하며, 구체적으로 CT를 통해 생성되는 융합형 콘텐츠의 분류체계의 핵심요소 도출에 관하여 연구를 진행한다. ICT 관점에서 융합형콘텐츠의 핵심요소로서 시장성, 응용성, 독창성, 핵심성을 도출하였으며, 생태계적 가치사슬 관점에서 창작성, 가공성, 창출성을 핵심요소로 도출하였다. 또한 융합형콘텐츠의 융합 단계를 창의 혁신 단계로 바라보았으며, 이러한 단계에 따라 ICT 및 생태계적 가치사슬 관점에서 가지는 핵심요소가 다름을 볼 수 있었다. 본 논문은 융합형콘텐츠의 발전 단계로 구분하여 다양한 관점에서 융합형콘텐츠의 발전방향을 바라보아야 하는 시사점을 제시하는데 의의를 가진다.

• 한국벤처창업학회:학술대회논문집
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• 2022.04a
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• pp.135-139
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• 2022

현재 COVID-19 전염병으로 인해 전 세계적으로 오프라인 상점 대신 소비자는 전자 상거래를 선호하는 추세이다. 이에 실시간 상호작용과 상거래의 통합인 '라이브 커머스'가 각광받고 있다. 국내 라이브 커머스 시장규모가 2023년에는 10조원이 넘어설 것이라는 전망에 비하여 연구가 현저히 적은 실정이다. 이에 본 연구에선 라이브커머스의 가치와 소비자의 동기가 적극적인 소비자 행동인 E-WOM 의도를 어떻게 예측하는지 살펴보았다. 라이브 커머스의 가치로는 쾌락적가치, 실용적가치, 상징적가치와 감정적가치로 분류하였다. 또한 수단-목적사슬 이론 및 이용과 충족 이론을 적용하여 설명하였다. 종속변수인 E-WOM 의도와에 사이에서 라이브커머스의 주역할을 하는 판매자를 매개변수로 설정하였다. 이때 판매자의 상호작용성과 신뢰도로 구분짓고 연구를 설정하였다. 그리고 지각된 위험성을 조절변수로 활용하여 지각된 가치들과 판매자의 사이에서 영향이 있는지 살펴보였다. 본 연구의 설문 응답 대상은 네이버 라이브 커머스 이용 대상자 410명을 대상으로 진행하였다.

• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.184-192
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• 2009

CT(Culture Technology) became one of the leading industries with fast growth in its contribution to an economy not only in Korea, but also in the world. This study suggests policy direction and priority of CT in the perspective of technology standardization and its classification. As a result, this study proposes a new 'CT Classification' using the value chain concepts contrary to previous classification. In addition, we suggest standardization priority, especially, in the sectors of 'CT Distribution/Service', 'CT Marketing', 'General CT management' based on our survey research of production side. Consequently, our research suggests an important strategic bases for decision makers in CT policy and development both government and private sectors.

• The Journal of Bigdata
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• v.2 no.2
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• pp.87-93
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• 2017

The research on data quality has been performed for a long time. However, the research focused on structured data. With the recent digital revolution or the fourth industrial revolution, quality control of big data is becoming more important. In this paper, we analyze and classify big data quality types through previous research. The types of big data quality can be classified into value, data structure, process, value chain, and maturity model. Based on these comparative studies, this paper proposes a new standard, service quality of big data.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2003.05a
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• pp.291-297
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• 2003

The aim of this research is to propose new framework for taxonomy of various business and its concept, due to the changes in market space. This framework is three-dimension cubic model, based on three concepts, business layer(BL), value chain(VC), and Real/Virtual(R/V) that symbolizes real environment and virtual(or cyber) space. And we showed that this framework is able to describe all expected(or existed) business types in certain industry by the combinations of BL-VC-R/V on three dimension. In addition, we suggested new definition of e-business and e-Logistics from view of BL-VC-R/V. In order to test availability, this framework was applied for logistics related business. and classified typical business types existed (or expected) in logistics area.

• Journal of Navigation and Port Research
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• v.27 no.4
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• pp.389-395
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• 2003

The aim of this research is to propose new framework for taxonomy of various business and its concept. due to the changes in market space. This framework is three-dimension cubic model based on three concepts, business layer(BL), value chain(VC), and Real/Virtual(R/V) that symbolizes real environment and virtual (or cyber) space. We showed that this framework is able to describe all expected(or existed) business types in certain industry by the combinations of BL-VC-R/V on three dimension. In addition, we suggested new definition of e-business and e-Logistics from view of BL-VC-R/V. In order to test availability of framework, this framework was applied for logistics related business, and we classified typical business types existed (or expected) in logistics area.

• 한국IT서비스학회:학술대회논문집
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• 2009.05a
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• pp.8-12
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• 2009

본 연구는 유비쿼터스 환경에서의 체계적 서비스를 도출하기 위한 분류체계를 제안하고 이를 유비쿼터스 기반 GIS 서비스에 적용시켜 그 결과를 분석하고 시사점을 도출한다. 이를 위해 기술적 특성과 고객 니즈의 특성을 포함한 유비쿼터스 환경과 서비스 속성을 조사한다. 또한 기존의 제시되었던 u-서비스 분류체계를 분석하고 GIS 산업의 가치사슬과 기술 및 서비스 동향을 조사하여 새로운 유비쿼터스 서비스 분류 체계를 개발하는데 활용한다. 개발된 유비쿼터스 서비스 분류체계를 검증하기 위해 유비쿼터스 기반 GIS 서비스의 도입 사례를 조사하여 적용해본다. 적용 결과를 통해 분류 체계의 적합성을 검증하고 향후 GIS 서비스 도입 시 고려해야 할 사항과 발전방안을 제시한다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.4
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• pp.421-428
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• 2011

It is challenging to survey the size and economical value of geospatial industry, because of the vagueness of the industry range. This study suggested a proposed method for the classification of geospatial industry based on Korea Standard Industry Classification, Th proposed method for the classification considered the value added chain of geospatial industry and Korean Standard Industry Classification, Theses considerations reflected characteristics of geospatial industry, Industrial statistics of geospatial industry are expected to be surveyed based on the classification proposed by this study,