• Title/Summary/Keyword: 비즈니스 프로세스 분석

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Healthcare service analysis using big data

  • Park, Arum;Song, Jaemin;Lee, Sae Bom
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.4
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    • pp.149-156
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    • 2020
  • In the Fourth Industrial Revolution, successful cases using big data in various industries are reported. This paper examines cases that successfully use big data in the medical industry to develop the service and draws implications in value that big data create. The related work introduces big data technology in the medical field and cases of eight innovative service in the big data service are explained. In the introduction, the overall structure of the study is mentioned by describing the background and direction of this study. In the literature study, we explain the definition and concept of big data, and the use of big data in the medical industry. Next, this study describes the several cases, such as technologies using national health information and personal genetic information for the study of diseases, personal health services using personal biometric information, use of medical data for efficiency of business processes, and medical big data for the development of new medicines. In the conclusion, we intend to provide direction for the academic and business implications of this study, as well as how the results of the study can help the domestic medical industry.

Issues in the Blockchain-Based Health Care Industry (블록체인기반 의료분야의 문제해결과 이슈)

  • Woo, Sung-hee;Lee, Yong-ju;Cho, Young-bok
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.363-366
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    • 2019
  • Blockchain technology is a new paradigm that will change existing business processes and has a significant impact on all industries, not just on specific industries. The medical industry also expects the impact of blockchain technology to be very significant. I think blockchain technology should be applied in the medical industry because the medical industry has the problem of information asymmetry due to the structural characteristics of a centralized system composed of hospitals. However, no one can be sure that the value of blockchain technology is absolutely right, and absolute trust should be avoided. Blockchain technology provides many limitations to the process in which blockchain technology is applied in the medical industry, as it can be seen as still immature in terms of security and scalability. Therefore, we analyze the application cases of blockchain technology in the medical field, current problems in the medical field, solutions and issues through Blockchain.

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Case Study of Applying Self-Checkup Preparation for the Successful Technology Based Startup (성공적 기술창업 촉진을 위한 사전자가진단 (Self-Checkup Preparation)항목 개발연구)

  • Yang, Young Seok;Kim, Myung Seuk
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.11 no.2
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    • pp.113-120
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    • 2016
  • Technology based would-be entrepreneurs have constantly increased as coming with increasing demands for technology based startup. However, technology based startup need to go through throne field in the preparation and launching process. This paper help technology based would be entrepreneurs recognizing and pivoting all potential fatal flaws covering entrepreneurs to BM with strategies by providing self check-up lists. This paper have developed all check list based upon the previous literature reviews about technology commercialization with carrying Focused Group Interview with mentor and investor involved in the early stage of venture growth. In particular, this paper have applied these tools over 104 participants(would-be entrepreneur and entrepreneurs in the early startup) attending in Hanbat Startup Item Validation Program and Startup Leading University program. This paper developed the mega categories of list as follows: Entrepreneurship, technology and patent, target customer and market, product, BM and strategy. It also developed 17 different concept of components and 58 specific sub-lists under maga list. The research results of paper will provide solid foundation of communication with participants about checking up their state of preparation for startup as applying to mentoring for would-be entrepreneurs and to entrepreneurship education.

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Effect SCM Capacity Factor of Small and Medium-Sized Supplier on Operational Performance: Focused on Moderating Effect of Demand Uncertainty (중소 공급업체의 SCM역량요인이 운영성과에 미치는 영향: 수요불확실성의 조절효과를 중심으로)

  • Kim, Jung-dae
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.12 no.5
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    • pp.117-126
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    • 2017
  • This study analyzed both the effect small and medium-sized suppliers' SCM capacity on the performance and how the moderating effect of demand uncertainty as an environmental factor affects this relation. The study is based on the data collected from the survey of small and medium-sized suppliers operating in electronics, metal, machinery, automobile, and textile. It analyzed the results of survey targeting suppliers of these areas by using structure equation modeling. According to the analyzed result, the relation capital of small and medium-sized supplier affects the performance, but there is no relation between coordination capability and the performance. In case of the moderating effect of demand uncertainty, while there is a positive moderating effect of demand uncertainty between relation capital and performance, there is no any moderating effect between coordination capability and performance. It turns out that the relation capital keep having a positive effect on the performance even if there is a demand uncertainty.

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Case Study on Production for Stop-motion Animation "Galaxay Kids" (스톱모션 애니메이션 <갤럭시키즈> 제작 사례 연구)

  • Kim, Tak Hoon;Park, Jin Wan
    • The Journal of the Korea Contents Association
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    • v.17 no.1
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    • pp.444-454
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    • 2017
  • Stop-motion animation is highly valued for realistic imagery and its ability to captivate the five senses of the audience. Despite this, practical research in this area is limited to date. The long hours required to produce stop-motion animation and turn these into profits can be attributed for the lack of knowledge in this area. In production research, the matter is made worse as it is difficult to protect the intellectual property made through the collaborated efforts of students and teaching staff through each laborious stage of planning, broadcasting and making 2D models. Meanwhile as the animation industry finds the investigation of new production processes taxing, it has maintained its focus on pre-existing processes such as the use of pipeline. This paper aims to shed light on new production methods that can be used to improve the effectiveness of existing stop-motion production. In addition, by working with Taktoon Enterprises on its T.V series Galaxy Kids the paper will revise real world production methods including the traditional use of hand made models. Thus by investigating the use of graphic technology such as 3D printing the paper will be able to extend current business models. Research conducted in this paper is a necessary part of overcoming various contents production obstacles. Furthermore, it may help publicize issues faced in production leading to the discussion and sharing of new innovations.

Design Thinking Methodology for Social Innovation using Big Data and Qualitative Research (사회혁신분야에서 근거이론 기반 질적연구와 빅데이터 분석을 활용한 디자인 씽킹 방법론)

  • Park, Sang Hyeok;Oh, Seung Hee;Park, Soon Hwa
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.13 no.4
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    • pp.169-181
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    • 2018
  • Under the constantly intensifying global competition environment, many companies are exploring new business opportunities in the field of social innovation using creating shared value. In seeking social innovation, it is a key starting point of social innovation to clarify the problem to be solved and to grasp the cause of the problem. Among the many problem solving methodologies, design thinking is getting the most attention recently in various fields. Design Thinking is a creative problem solving method which is used as a business innovation tool to empathize with human needs and find out the potential desires that the public does not know, and is actively used as a tool for social innovation to solve social problems. However, one of the difficulties experienced by many of the design thinking project participants is that it is difficult to analyze the observed data efficiently. When analyzing data only offline, it takes a long time to analyze a large amount of data, and it has a limit in processing unstructured data. This makes it difficult to find fundamental problems from the data collected through observation while performing design thinking. The purpose of this study is to integrate qualitative data analysis and quantitative data analysis methods in order to make the data analysis collected at the observation stage of the design thinking project for social innovation more scientific to complement the limit of the design thinking process. The integrated methodology presented in this study is expected to contribute to innovation performance through design thinking by providing practical guidelines and implications for design thinking implementers as a valuable tool for social innovation.

An Empirical Analysis on the Efficiency of the Projects for Strengthening the Service Business Competitiveness (서비스기업경쟁력강화사업의 효율성에 대한 실증 분석)

  • Kim, Dae Ho;Kim, Dongwook
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.5
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    • pp.367-377
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    • 2016
  • The purpose of the projects for strengthening the Service Business Competitiveness, which had been sponsored by the Ministry of Trade, Industry and Energy, and managed by the NIPA, is to support for combining the whole business process of the SMEs with the business model considering the scientific aspects of the services, to enhance the productivity of them and to add the values of their activities. 5 organizations are selected in 2014, and 4 in 2015 as leading organizations for these projects. This study analyzed the efficiency of these projects using DEA. Throughout the analysis of the prior researches, this study used the amount of government-sponsored money as the input variable, and the number of new customer business, the sales revenue, and the number of new employment as the output variables. And the result of this analysis showed that the decision making unit 12, 15, and 21 was efficient. And from this study, we found out two more performance indicators such as, the number of new employment and the amount of sales revenue, besides the number of new customer businesses.

Classification and Analysis of Data Mining Algorithms (데이터마이닝 알고리즘의 분류 및 분석)

  • Lee, Jung-Won;Kim, Ho-Sook;Choi, Ji-Young;Kim, Hyon-Hee;Yong, Hwan-Seung;Lee, Sang-Ho;Park, Seung-Soo
    • Journal of KIISE:Databases
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    • v.28 no.3
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    • pp.279-300
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    • 2001
  • Data mining plays an important role in knowledge discovery process and usually various existing algorithms are selected for the specific purpose of the mining. Currently, data mining techniques are actively to the statistics, business, electronic commerce, biology, and medical area and currently numerous algorithms are being researched and developed for these applications. However, in a long run, only a few algorithms, which are well-suited to specific applications with excellent performance in large database, will survive. So it is reasonable to focus our effort on those selected algorithms in the future. This paper classifies about 30 existing algorithms into 7 categories - association rule, clustering, neural network, decision tree, genetic algorithm, memory-based reasoning, and bayesian network. First of all, this work analyzes systematic hierarchy and characteristics of algorithms and we present 14 criteria for classifying the algorithms and the results based on this criteria. Finally, we propose the best algorithms among some comparable algorithms with different features and performances. The result of this paper can be used as a guideline for data mining researches as well as field applications of data mining.

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A Successful Implementation Strategy Of ERP System For University Information System (대학 정보화를 위한 ERP 시스템 구축전략)

  • 김현준;정정회;김영렬;이상식
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2003.11a
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    • pp.577-588
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    • 2003
  • 정보기술의 급진적인 발달로 경쟁이 점점 심화되어져 가고 있는 환경 속에서 경쟁적 우위를 갖기 위한 기업들의 끊임없는 노력은 계속 되고 있다 이러한 시점에 ERP(Enterprise Resource Planning: 전사적 자원관리) 시스템은 기업의 경쟁력을 재고하고 변화하는 비즈니스 환경을 예측하여 신속하고 현명하게 대처하기 위한 수단으로서의 역할을 수행하고 있으며 최근 기업뿐만 아니라 대학에서도 이에 대한 관심이 확산되고 있다. 이미 국외의 많은 대학들이 ERP 시스템을 도입한 실정이고, 국내에서는 정보화 사업의 일환으로 연세대학교가 일반 행정 업무의 효율화를 위해 SAP R/3를 도입했고 향후 학사 행정 시스템과의 통합을 모색 중이다. 정부에서도 국·공립 대학들의 행정업무효율성 제고를 위해 차세대 행정업무시스템으로 ERP 시스템 도입을 본격화하고 있다. 따라서 본 논문에서는 정보화를 추진하고자 하는 국내 대학에 ERP 시스템의 도입을 제안하였고, 기존에 선행 연구된 연구자료를 비교·분석하여 기업의 ERP 시스템 구축 성공요인을 정리하였다. 국내 대학은 ERP 시스템 도입 시 제시된 주요성공요인 등을 고려하고 지속적인 관심으로 프로젝트를 수행함으로써 보다 효과적으로 구축을 완료해야 할 것이며, 아직 국내의 사례가 충분하지 않기 때문에 본 논문에서 제시한 국내외의 사례를 살펴봄으로써 대학의 ERP 시스템 도입에 관해 빠른 이해를 할 수 있을 것이다. 끝으로 본 논문은 초기단계에 있는 국내 대학의 ERP 시스템 도입에 대학이 나가야 할 방향을 제시하였고, 앞으로 국내 대학의 ERP 시스템 도입이 증가할수록 이에 대한 연구도 계속 되어야 할 것이다.보다 더 높게 나타난 반면에, 실무계 전문가 집단은 비용이 정보시스템 보다 더 높게 나타났다는 것이다.리적 특성이론과 사용자 수용이론으로 구분하여 이 특성에 따라서 향후 개발될 3D 핸드폰 아바타의 수용도의 관계를 파악하고자 한다. 본 연구에 대한 자료 수집방법은 D대학교의 교양과목인 “사이버문화의 이해와 활용”을 수강하는 학생들을 대상으로 총 170부를 설문 조사하였으며, 수집된 설문지 중에서 불성실하게 응답한 설문지 6부를 제외한 총 164부를 유효한 설문으로 확보하였다. SPSSWIN 10.0 패키지를 이용하였으며, Cronbach's Alpha값을 통한 신뢰도 분석과 요인분석을 통한 타당성 분석을 하고, 연구변수로 선정한 각 요소들의 아바타 수용도에 미치는 영향력 정도를 파악하기 위해 회귀분석을 실시하였다. 그 결과 심리적 특성과 사용자 수용 특성은 아바타 수용도에 부분적으로 영향을 미친다는 것 결과가 나타났다.웨어 프로세스 평가와 개선 모델의 개발을 위한 기초적인 자료를 제공할 것으로 예상된다 또한, 본 연구 결과는, 우리나라 소프트웨어 조직들이 실제로 무엇을 필요로 하는지를 밝힘으로써, 우리나라의 소프트웨어 산업을 육성하기 위한 실효성 있는 정책 입안을 위한 기초 자료를 제공할 것으로 예상된다.다.를 검증하려고 한다. 협력체계 확립, ${\circled}3$ 전문인력 확보 및 인력구성 조정, 그리고 ${\circled}4$ 방문보건사업의 강화 등이다., 대사(代謝)와 관계(關係)있음을 시사(示唆)해 주고 있다.ble nutrient (TDN) was highest in booting stage (59.7%);

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Development direction of emotional contents through analysis of successful cases from applying emotional technology (감성기술 적용 성공사례 분석을 통한 감성콘텐츠 개발 방향 연구)

  • Jeong, Sang-Hoon
    • Science of Emotion and Sensibility
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    • v.15 no.1
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    • pp.121-132
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    • 2012
  • Recently, interest in emotional technology has escalated and its application has extended to many fields, from both an industrial (product) and service (culture, tourism, medical, education, advertising) perspective. Moreover, culture has become a fundamental aspect of modern industry, playing key roles in: gaming, exhibitions, performances, sports, tourism, design, edutainment, as well as various content distribution industries. The prospect of applying emotional technology for cultural content industries makes up for more than half of the 'plan-manufacture-distribution-marketing' process, and thereby also serves as driving force for the growth of a nation. The primary objective of the following research is analyze successful cases from the past through utilization of emotional technology, and to speculate on efficient directions for future research into developing emotional contents. To achieve this, some of the key terms have been defined and elaborated for the sake of clarity. The terms are as follows: emotion, emotion engineering, science of emotion, emotional technology, and emotional contents. Furthermore, studies were conducted based on the six different fields surrounding CT R&D to observe how projects involving emotional technology have succeeded both on a national and global scale. Based on this analysis, this research aims to develop personalized 'Concierge' service-providing contents, contents designed to maximize performance ability of humans, and contents that could be controlled simply via emotion to effectively spread the culture of Korea by focussing on 'fusion' content development. The following research data may hopefully serve as a basic reference to industries navigating towards emotional content development.

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