• Title/Summary/Keyword: 벤치마킹 분석

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SaaS 비즈니스 모델별 시장 경쟁력 결정 요인 프레임워크에 관한 연구;그룹웨어, CRM 및 ERP를 중심으로

  • Kim, Sin-Pyo;Lee, Chun-Ryeol
    • 한국경영정보학회:학술대회논문집
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    • 2007.11a
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    • pp.367-373
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    • 2007
  • 최근 소프트웨어 유통방식은 웹(Web) 2.0 시대의 도래와 더불어 SOA(Service Oriented Architecture) 웹 서비스(Web Service), 온 디멘드(On Demand), 컴퍼넌트(Component) 등의 개념 및 기술의 발전으로 ASP(Application Service Provider) 방식에서 SaaS(Soft as a Service) 방식으로 빠르게 진화하고 있다. 새롭게 등장하고 있는 SaaS 비즈니스 모델의 시장 경쟁력 결정 요인 분석은 SaaS 비즈니스 모델 중에서도 국내 가장 대표적인 그룹웨어, CRM, ERP 를 중심으로 전략경영이론을 도입하여 기업의 내부 및 외부 경쟁력 결정요인을 마이클포터, 동인분석, 주요 성공요인 분석, SWOT 를 중심으로 접근하고자 한다. 설문조사를 통한 주요 SaaS 비즈니스 모델별 시장 경쟁력 결정 요인에 대한 시론적인 분석 결과는 SaaS 시장 진출 신규 기업 및 정부의 SaaS 시장 육성 방향 설정 그리고 후속적인 연구의 방향을 결정하는데 중요한 벤치마킹 자료로 활용될 수 있을 것으로 기대된다.

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A Benchmarking on Rendering System for Animation (애니메이션을 위한 렌더링 시스템 동향분석)

  • Lee, C.H.;Choi, J.J.;Lee, E.T.
    • Electronics and Telecommunications Trends
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    • v.14 no.3 s.57
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    • pp.31-43
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    • 1999
  • 본 고에서는 3차원 애니메이션을 위한 렌더링 시스템에 대한 기술동향을 분석한다. 이를 위해 렌더링을 지원하는 상용 애니메이션 소프트웨어들에 대한 최신 동향 및 이들 중 고가와 중저가 시장을 주도하고 있는 Alias/Wavefront Maya와 Kinetix 3D Studio Max를 중심으로 렌더링 기능들을 분석하고 성능평가 한다. 이를 위해 렌더링 기능으로서 Rendering Editor, Material, Lights, Textures, Ray-Tracing 및 Shadow, 카메라 및 기타 등에 대해서 각각의 기능들에 대한 특징 및 성능 등에 대해서 언급한다. 마지막으로 본 고는 두 상용 시스템에 대한 다면체 렌더링 기능별 분류 및 그 성능평가에 대해서 벤치마킹 표로 요약.제시하며 끝을 맺는다.

IO pattern analysis for NAND Flash based storage systems (낸드 플래시 기반 저장 장치의 입출력 패턴 분석 및 개선 방안 연구)

  • Seo, Bum-Joon;Ko, Kwang-Won;Yoon, Sung-Roh
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06a
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    • pp.248-250
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    • 2012
  • SSD와 같은 낸드 플래시 기반의 저장 장치가 새로운 저장 매체로 각광받고 있다. 낸드 플래시 저장 장치의 특성을 살려 보다 효과적으로 사용하기 위해서는 입출력 패턴을 분석하고 정의하는 과정이 필요하다. 본 논문에서는 기존에 수행되어진 낸드 플래시 기반 저장 장치들의 패턴화 및 벤치마킹을 분석하여 각각의 특징을 확인하고 이해하기 쉽게 정리하여 향후 낸드 플래시 관련 연구에 사용될 수 있도록 한다. 또한 각 방법의 한계를 지적하여 새로운 낸드 플래시 패턴화에 적용할 수 있는 아이디어를 제안한다.

물류/유통산업의 u-Business 전략계획 방법론에 관한 연구

  • Sin, Hyeon-Dong;Im, Chun-Seong;Jeon, Nam-Ju;Cha, Jong-Hyeok
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2005.05a
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    • pp.497-505
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    • 2005
  • RFID를 활용하여 기업 공급망의 효율성을 향상하고자 하는 기업들이 늘고 있지만, 이들이 적용할 만한 가이드라인이 부재한 실정이다. 이에 대하여 본 연구에서는 물류/유통산업의 RFID 기반 u-Business 전략계획 방법론을 제시하였다. 본 방법론은 기존의 정보화 전략계획 방법론의 기본 절차를 따라 '도입전략 수립-현행체계 분석-목표체계 수립-통합 이행계획 수립'의 단계(Phase)를 기반으로 하여, 유비쿼터스 컴퓨팅 환경의 적용을 위해 기술도입 타당성 분석, 공급망 분석, 목표기업 벤치마킹, Pilot테스트, u-Business 전략계획 평가에 관하여 특화되었다. 제시된 방법론은 기존의 정보화 전략계획 방법론과의 비교를 통하여 타당성을 검증하였다.

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Directions of Archival Contents Development for Documenting Localities (로컬리티 기록콘텐츠 개발 방향에 관한 연구)

  • Seol, Moon-Won
    • Journal of Korean Library and Information Science Society
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    • v.43 no.2
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    • pp.317-342
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    • 2012
  • The purpose of this study is to analyse the issues of archival contents development for documenting local histories and to suggest the directions of contents development based on case studies. The study begins with analysing four cases of archival contents; two foreign cases for benchmarking, and two domestic cases of the Encyclopedia of Korean Local Cultures, and the local contents of National Archives of Korea. Based on these analyses, it discusses the critical issues of the contents development and suggests the directions of archival contents development for documenting localities.

An Efficient In-Place Block Rotation Algorithm and its Complexity Analysis (효율적 In-Place Block Rotation 알고리즘과 복잡도 분석)

  • Kim, Pok-Son;Kutzner, Arne
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.3
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    • pp.428-433
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    • 2010
  • The notion "block rotation" denotes the operation of exchanging two consecutive sequences of elements uv to vu. There are three already well-known block rotation algorithms called BlockRotation, Juggling and Reversal algorithm. Recently we presented a novel block rotation algorithm called QuickRotation. In this paper we compare QuickRotation to these three known block rotation algorithms. This comparison covers a complexity analysis as well as benchmarking and shows that a switch to QuickRotation is almost always advantageous.

Success Factors of UCSD CONNECT as Business Incubator (UCSD CONNECT의 기업보육 성공요인)

  • Chun, Se-Hak;Byun, Yong-Hwan
    • Journal of Digital Convergence
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    • v.13 no.1
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    • pp.135-149
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    • 2015
  • The purpose of this study is, through journal review, to introduce and analyze the success factor and programs of CONNECT which have made key contributions in the construction of San diego Bio-cluster and thereby show directions business incubators in Korea should try to follow. CONNECT is a most popular bench-marking case over the world for bio-venture incubation. In this paper, core success factors and incubating programs of CONNECT are analyzed in detailed way for local govenments and incubating institutions to develop enterprise promotion policy. CONNECT is famous for its tailored services to meet the varying needs of entrepreneurs at all stages of their business life cycles and growth. CONNECT is a pioneer which provide mainly software services by using network while it provide hardware supports like space at minimun level. CONNECT has provided early stage corporations with diverse software services on which business incubators in Korea should have focus Since its inception, CONNECT has assisted more than 800 technology companies. Leadership of policy makers, network and software services have been key success factors of UCSD CONNECT.

Estimating Quarterly GRDP Using Benchmarking Method (벤치마킹방법을 이용한 분기 GRDP의 추정)

  • Lee, Geung-Hee
    • The Korean Journal of Applied Statistics
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    • v.22 no.1
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    • pp.75-88
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    • 2009
  • Gross Regional Domestic Product (GRDP) is regarded as an essential information to understand regional economy. However, GRDP is hardly used for establishment of regional economic plan and related statistical research due to its late and yearly publication. Therefore, it is necessary to estimate quarterly GRDP to grasp the current regional economy faster In this study, considering the comovement between GDP and GRDP for the same industry, reference series are made. Quarterly GRDP is estimated the following two steps; First, preliminary quarterly GRDP is estimated using Chow-Lin's method based on the reference series to eliminate temporal discrepancies. Second, preliminary quarterly GRDP is adjusted using Denton's multivariate method to eliminate contemporaneous discrepancies.

The Determinants of Port Hinterlands Competitiveness in Korea-China: Focusing on Gwangyang Port and Qingdao Port (한·중 항만배후단지의 경쟁요인 비교분석에 관한 연구: 광양항과 칭다오항을 중심으로)

  • Qing, Cheng lin;Na, Ju Mong
    • International Area Studies Review
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    • v.17 no.4
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    • pp.109-130
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    • 2013
  • This study aims to identify the priority for the Gwangyang and Qingdao hinterlands which are in the same category of benchmarking crowed paths. This study has been mainly done with comparison. There is certain limitation to use competitive factors of existing research so, this study has had proper competitive factors deriving from factors analysis and studied hinterland priority of competing factors by AHP. Major results are as follows. First, the factor analysis resulted in 20 factor that were 0.6 or higher loading level of commonality and then these 20 factors were divided into groups: operating factors, service factors, cost factors, port infrastructure factors, and hinterland conditions factors with the rotated component matrix analysis. Second, according to the result of top competitive factors, the best factor was the hinterland condition(0.256). The other factors such as infrastructure, economy, accessibility, incentive, and port traffic in hinterland were highly ranked in terms of general importance using multiple weights. Third, the result of detailed properties importance about the final alternative, Gwangyang hinterland was considered more highly than Qingdao hinterland in the port information system, the support a variety of administrative services, the efficiency of the customs, and the tax benefits.

Investigating the Performance of Bayesian-based Feature Selection and Classification Approach to Social Media Sentiment Analysis (소셜미디어 감성분석을 위한 베이지안 속성 선택과 분류에 대한 연구)

  • Chang Min Kang;Kyun Sun Eo;Kun Chang Lee
    • Information Systems Review
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    • v.24 no.1
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    • pp.1-19
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    • 2022
  • Social media-based communication has become crucial part of our personal and official lives. Therefore, it is no surprise that social media sentiment analysis has emerged an important way of detecting potential customers' sentiment trends for all kinds of companies. However, social media sentiment analysis suffers from huge number of sentiment features obtained in the process of conducting the sentiment analysis. In this sense, this study proposes a novel method by using Bayesian Network. In this model MBFS (Markov Blanket-based Feature Selection) is used to reduce the number of sentiment features. To show the validity of our proposed model, we utilized online review data from Yelp, a famous social media about restaurant, bars, beauty salons evaluation and recommendation. We used a number of benchmarking feature selection methods like correlation-based feature selection, information gain, and gain ratio. A number of machine learning classifiers were also used for our validation tasks, like TAN, NBN, Sons & Spouses BN (Bayesian Network), Augmented Markov Blanket. Furthermore, we conducted Bayesian Network-based what-if analysis to see how the knowledge map between target node and related explanatory nodes could yield meaningful glimpse into what is going on in sentiments underlying the target dataset.