박사
국내 온라인 게임 산업의 구조 및 성과 분석 = Analyzing the Structure and Performance of the Domestic Online Game Industry
전훈
2015년
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국내 온라인 게임 산업의 구조 및 성과 분석 = Analyzing the Structure and Performance of the Domestic Online Game Industry' 의 주제별 논문영향력
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| 동일주제 총논문수 | 논문피인용 총횟수 | 주제별 논문영향력의 평균 |
| 135 | 0 |
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주제별 논문영향력
' 국내 온라인 게임 산업의 구조 및 성과 분석 = Analyzing the Structure and Performance of the Domestic Online Game Industry' 의 참고문헌
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한국콘텐츠 진흥원대한민국 게임백서 , 2004, 2005, 2006, 2007, 2008,2009, 2010, 2011, 2012, 2013) [2003]
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한국거래소www.krx.co.kr
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한국 디지털게임 학술연구의 동향과 특징
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컨테이너항만 네트워크가 항만 생산성에 미치는 영향에 대한 연구: 사회 네트워크 분석을 중심으로
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웹진 인벤 (wwwinven.co.kr)
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우리나라 은행산업의 효율성 결정요인과 금융정책
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온라인 게임 플레이의 재미 평가 모델에 관한 연구
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사회 연결망 분석
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델파이 및 AHP를 이용한 온라인 게임기업의 정성적 평가요소에 관한 연구
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국내 제약기업 광고비의 기술, 배분, 전체 효율성에 대한 DEA 윈도우 분석
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국내 전자기업의 경영성과와 R&D 활동과의 관계에 관한 연구
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공학도를 위한 기술과 경영
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게임 소프트웨어 및 서비스 산업의 경영효율성 분석
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“DEA 효율성을 결정하는 입력-출력 변수 식별: 정부지원 R&D과제 효율성 평가를 위한 실례”
-
van Egeraat, Chris., Declan Curran. (2013). "Social networks and actualknowledge flow in the Irish Biotech Industry”, European Planning Studiesahead-of-print, pp. 1-18.
-
Yang, Zijiang. (2006) "A two-stage DEA model to evaluate the overall performanceof Canadian life and health insurance companies”, Mathematical andcomputer modeling, Vol. 43, No. 7, pp. 910-919.
-
Yang, H. H., Chang, C. Y. (2009). "Using DEA window analysis to measureefficiencies of Taiwan's integrated telecommunication firms”,Telecommunications Policy, Vol. 33, No. 1, pp. 98-108.
-
Xue, Mei., Patrick T. Harker. (2002) "Note: ranking DMUs with infeasible super-efficiency DEA models”, Management Science, Vol. 48, No. 5, pp.705-710.
-
Webb, Robert. (2003) "Levels of efficiency in UK retail banks: a DEA windowanalysis”, Int. J. of the economics of business, Vol. 10, No. 3, pp.305-322.
-
Wasserman, S., Faust, K. (1994), Social network analysis. New York:Cambridge university press.
-
Thore, S., Phillips, F., Ruefli, T. W., Yue, P. (1996). "DEA and the managementof the product cycle: The US computer industry”, Computers &Operations Research, Vol. 23, No. 4, pp. 341-356.
-
Stwart, T. J. (1996), "Relationships between data envelopment analysis andmulticriteria decision analysis”, The Journal of the Operational ResearchSociety, Vol. 47, No. 5, pp. 654-665.
-
Serrano-Cinca, C., Fuertes-Callen, Y., Mar-Molinero, C. (2005). "MeasuringDEA efficiency in internet companies”, Decision Support Systems, Vol. 38, No.4, pp. 557-573.
-
Seol, H., Lee, H., Kim, S., Park, Y. (2008). "The impact of information technologyon organizational efficiency in public services: a DEA-based DT approach”,Journal of the Operational Research Society, Vol. 59, No. 2, pp.231-238.
-
Scott, J. (2000). Social network analysis: A handbook, London: Sage.
-
Ramanathan, R. (2006). "Data envelopment analysis for weight derivation andaggregation in the analytic hierarchy process”, Computers & OperationsResearch, Vol. 33, pp. 1289-1307.
-
Plum, Oliver, Robert Hassink.(2013) "Analysing the knowledge base configurationthat drives southwest Saxony’s automotive firms”, European Urbanand Regional Studies, Vol. 20, No. 2, pp. 206-226.
-
Parola, Francesco, Giovanni Satta, Simone Caschili. (2013) "Unveiling co-operativenetworks and ‘hidden families’ in the container port industry”,Maritime Policy & Management ahead-of-print, pp. 1-21.
-
Park, H., Han, S. H., Rojas, E. M., Son, J., Jung, W. (2010). "Social networkanalysis of collaborative ventures for overseas construction projects”, Journalof construction engineering and management, Vol. 137, No. 5, pp. 344-355.
-
Naveen, D., Yoo, B. (1998), "Retail productivity assessment using data envelopmentanalysis”, Journal of Retailing, Vol. 74. No. 1, pp. 89-105.
-
Marsden, P. V., Laumann, E. O. (1984). "Mathematical ideas in social structuralanalysis”, Journal of Mathematical Sociology, Vol. 10, No. 3-4, pp.271-294.
-
Lovell, C. A., Pastor, J. T. (1999). "Radial DEA models without inputs orwithout outputs”, European Journal of Operational Research, Vol. 118, No. 1,pp. 46-51.
-
Liu, F. H. F., Wang, P. H. (2008). "DEA Malmquist productivity measure:Taiwanese semiconductor companies”, International Journal of ProductionEconomics, Vol. 112, No. 1, pp. 367-379.
-
Lee, H., Park, Y., Choi, H. (2009). "Comparative evaluation of performanceof national R&D programs with heterogeneous objectives: A DEA approach”,European Journal of Operational Research, Vol. 196, No. 3, pp. 847-855.
-
Lee, H., Kim, C., Park, Y. (2010). "Evaluation and management of new serviceconcepts: An ANP-based portfolio approach”, Computers & IndustrialEngineering, Vol. 58, No. 4, pp. 535-543.
-
Lee, H. Y., Park, Y. T. (2005). “An international comparison of R&D efficiency:DEA approach”, Asian Journal of Technology Innovation, Vol. 13, No.2, pp. 207-222.
-
Lee, C., Lee, H., Seol, H., Park, Y. (2012). "Evaluation of new service conceptsusing rough set theory and group analytic hierarchy process”, ExpertSystems with Applications, Vol. 39, No. 3, pp. 3404-3412.
-
Kim, C., Lee, H., Seol, H., Lee, C. (2011). "Identifying core technologiesbased on technological cross-impacts: An association rule mining (ARM) andanalytic network process (ANP) approach”, Expert Systems with Applications,Vol. 38, No. 10, pp. 12559-12564.
-
Kim, C., Lee, H. (2012). "A database-centered approach to the developmentof new mobile service concepts”, International Journal of MobileCommunications, Vol. 10, No. 3, pp. 248-264.
-
Kaplan, R.S., Norton, D.P. (1992). "The balanced scorecard - Measures thatdrive performance”, Harvard Business Review. Vol. 70, No. 1, pp. 71-79.
-
John P. Scot. (2000). Social Network Analysis: A Handbok, SAGE Publications,London.
-
Gelsing, Lars Erik. (1992). "Innovation and the development of industrial networks”,Innovation and the Development of Industrial Networks, pp. 116-128.
-
Freeman, L.C. (1979). "Centrality in social networks conceptual clarification”,Social Networks, Vol. 1, pp. 215-239.
-
Doyle, J., Green, R. (1993). "Data envelopment analysis and multiple criteriadecision making”, Omega, Vol. 21, No. 6, pp. 713-715.
-
Davis, Allison, Burleigh Bradford Gardner, Mary R, Gardner. Deep south.University of Chicago Press, 1969.
-
Data Envelopment Analysis/Window 모형과 Global Malmquist 생산성지수 모형을 이용한 지방의료원의 효율성과 생산성 변화 분석
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Cooper, William W., Lawrence M. Seiford., Kaoru Tone. (2007). Data envelopmentanalysis : a comprehensive text with models, applications, references andDEA-solver software, Springer.
-
Cooper, W.W., Seiford, L.M., Tone, K. (2000). Data Envelopment Analysis:Theory, Methodology, and Applications, References and DEA-Solver software,Kluwer Academic Publishers, Boston.
-
Cook, W. D., Seiford, L. M. (2009). "Data envelopment analysis (DEA) -Thirtyyears on”, European Journal of Operational Research, Vol. 192, No. 1, pp.1-17.
-
Colbert, Amy, Reuven R. Levary., Michael C. Shaner. (2000). "Determining therelative efficiency of MBA programs using DEA”, European Journal ofOperational Research, Vol. 125, No. 3, pp. 656-669.
-
Charnes, Abraham., William Wager Cooper. (1984). "Preface to topics in dataenvelopment analysis”, Annals of Operations research, Vol. 2, No. 1, pp.59-94.
-
Charnes, Abraham, William Wager Cooper, Edwardo Rhodes. (1978)."Measuring the efficiency of decision making units”, European journal of operationalresearch, Vol. 2, No. 6, pp. 429-444.
-
Charnes, Abraham, W. W. Cooper., Robert M. Thrall. (1991). "A structure forclassifying and characterizing efficiency and inefficiency in data envelopmentanalysis”, Journal of Productivity Analysis, Vol. 2. No. 3, pp. 197-237.
-
Charnes, A., Clark, C. T., Cooper, W. W., Golany, B. (1984). "A developmentalstudy of data envelopment analysis in measuring the efficiency of maintenanceunits in the US Air Forces”, Annals of Operations Research, Vol. 2, No. 1, pp.95-112.
-
C. L. Hsu., H. P. Lu. (2004). “Why do people play on-line games? An extendedTAM with social influences and flow experience”, Information andManagement, Vol. 41, No. 7, pp. 853-868.
-
Borgatti, Stephen P. (2009). "2-Mode concepts in social network analysis”,Encyclopedia of complexity and system science, pp. 8279-8291.
-
Borgatti, Stephen P. (2005) "Centrality and network flow”, Social networks,Vol. 27, No. 1, pp. 55-71.
-
Bonacich, Phillip., Paulette Lloyd. (2001). "Eigenvector-like measures of centralityfor asymmetric relations”, Social Networks, Vol. 23, No. 3, pp. 191-201.
-
Bonacich, Phillip. (1972) "Factoring and weighting approaches to status scoresand clique identification”, Journal of Mathematical Sociology, Vol. 2, No. 1, pp.113-120.
-
Belton, V., Vickers, S. P. (1993). "Demystifying DEA: A visual interactive approachbased on multi criteria analysis”, The Journal of the OperationalResearch Society, Vol. 44, No 9, pp. 883-896.
-
Bekkers, Rudi., Arianna Martinelli. (2012). "Knowledge positions in high-techmarkets: Trajectories, standards, strategies and true innovators”, TechnologicalForecasting and Social Change Vol. 79, No. 7, pp. 1192-1216.
-
Banker, Rajiv D., Abraham Charnes., William Wager Cooper. (1984). "Somemodels for estimating technical and scale inefficiencies in data envelopmentanalysis”, Management science, Vol. 30, No. 9, pp. 1078-1092.
-
Banker, R. D., Charnes, A., Cooper, W. W., Swarts, J., Thomas, D. A. (1989).“An introduction to data envelopment analysis with some of its models andtheir uses”, Research in governmental and nonprofit accounting, Vol. 5, pp.125-163.
-
Asmild, M., Paradi, J. C., Aggarwall, V., Schaffnit, C. (2004). "Combining DEAwindow analysis with the Malmquist index approach in a study of the Canadianbanking industry”, Journal of Productivity Analysis, Vol. 1, No. 1, pp. 67-89.
-
Andersen, P., N. C. Petersen. (1993). “A Procedure for ranking efficient unitsin data envelopment analysis”, Management Science, Vol. 39, pp. 1261-1264.
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Analysis and evaluation of critical decision making problemsin technology management using ANP and DEA
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AHP를 이용한 온라인 게임 평가요인 분석