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作者:黃源霖
作者(英文):Yuan-Lin Huang
論文名稱:利用網路資料包絡分析之電子遊戲產業效率研究
論文名稱(英文):Efficiency Evaluation of Video Game Industry by Network Data Envelopment Analysis
指導教授:高韓英
指導教授(英文):Han-Ying Kao
口試委員:廖國勛
吳怡菱
口試委員(英文):Kuo-Hsun Liao
Yi-Ling Wu
學位類別:碩士
校院名稱:國立東華大學
系所名稱:資訊工程學系
學號:610521241
出版年(民國):107
畢業學年度:107
語文別:中文
論文頁數:62
關鍵詞:網路資料包絡分析多目標規劃電子遊戲業個案研究
關鍵詞(英文):Network DEAMulti-ObjectiveGame industryCase Study
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隨著軟硬體技術的成熟及網際網路的普及,電子遊戲產業正蓬勃發展,如何有效評估遊戲廠商的績效成了重要的課題。本論文建構一個適用於電子遊戲產業的網路資料包絡分析模型,選出20家電子遊戲廠商進行績效評估,將廠商的內部中間效率與整體效率視作不同的目標方程式,使用多目標規劃法求解各部門效率及整體效率,並將網路資料包絡分析與傳統資料包絡分析效率結果做亂度的比較。本論文最後觀察各部門效率及整體效率的相關性,並以常用的財務比率與效率結果進行相關性分析,供決策者做參考。
With the maturity of software and hardware technology and the popularity of the Internet, the video game industry has been booming. How to effectively evaluate the performance of game companies has become an important issue. This research constructs a network data envelopment analysis(NDEA) model for the video game industry, and conducts the case study with 20 video game companies to evaluate the performance. The departmental efficiency and overall efficiency of the company are regarded as different objective functions in the multi-objective programing model. This method can calculate the efficiency of the firm and each department. Besides this work observes the correlation between efficiency with nations and financial ratios. The results are expected to provide meaningful insight to the industrial decision makers.
中文摘要 I
Abstract III
目錄 V
圖目錄 VII
表目錄 IX
第一章 緒論 1
第一節 研究動機 1
第二節 研究架構及流程 2
第二章 文獻探討 5
第一節 資料包絡分析 5
第二節 網路資料包絡分析 8
第三節 多目標規劃 11
第四節 電子遊戲產業概述 12
第三章 研究方法 15
第一節 模型參數描述 15
第二節 多目標網路資料包絡分析模型 16
第三節 資料蒐集 18
第四節 系統架構 19
第四章 案例研究 21
第五章 結論與未來研究方向 33
第一節 結論 33
第二節 未來研究 33
參考文獻 35
附錄一:專利資料爬蟲 38
附錄二:FACEBOOK GRAPH API 40
附錄三:LINGO程式碼 42
附錄四: 電子遊戲業資料 46

[1]Adam, S., The Wealth of Nations. 1776: W. Strahan and T. Cadell, London.
[2]Banker, R.D., & Charnes, A., & Cooper, W.W., Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 1984. 30: p. 1078–1092.
[3]Bernroider , E.S., V., A method using weight restrictions in data envelopment analysis for ranking and validity issues in decision making. Computers & Operations Research, 2007. 34: p. 2637-2647.
[4]Chan, C.-Y., Network DEA by Multi-Objective Programming Methods and its Applications. 2013.
[5]Charnes, A., & Cooper, W. W., & Rhodes, E., Programming with linear fractional functions. Naval Research Logistics Quarterly, 1962(9): p. 181-186.
[6]Charnes, A., & Cooper, W. W., & Rhodes, E.,, Measuring the efficiency of decision making units. European Journal of Operational Research, 1978. 2: p. 429-444.
[7]Chiang, C.I., & Tzeng, G., H., H. , A multiple objective programming approach to data envelopment analysis. New Frontiers of Decision Making for the Information Technology Era, 2000: p. 270-285.
[8]Cook, W.D., & Seiford, L.M., Data envelopment analysis-Thirty years on. European Journal of Operational Research, 2009. 192: p. 1-17.
[9]Cook, W.D., & Zhu, J., & Bi, G., & Yang, F., Additive efficiency decomposition. European Journal of Operational Research, 2010. 207: p. 1122-1129.
[10]Daeho L., S.L.J.H.K., Analysis on the evolution and innovation of online game industry using meta-frontier analysis. Asian Journal of Technology Innovation 2017. 25(1): p. 158-167.
[11]Fare, R., & Grosskopf, S., Network DEA. Socio-Economic Planning, 2000: p. 35-49.
[12]Fare, R., & Grosskopf, S., & Whittaker, G., Network DEA. Springer US, 2007: p. 209-240.
[13]Farrell, M.J., The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, 1957. 120: p. 253-290.
[14]Hill, M.O., Diversity and Evenness: A Unifying Notation and Its Consequences. Ecology, 1973. 54(2): p. 427-432.
[15]Hoon, C., Measuring Operational Efficiency of Korean Online Game Companies with DEA Window Analysis. The Korean Operations and Management Science Society, 2014. 39(3): p. 23-40.
[16]Kaihara, K., & Kinoshita, Y., & Yoshida, Private communication. 2007.
[17]Kao, H.Y., & Chan, C.Y., A Multi-Objective Programming Method for Solving Network DEA. Applied Soft Computing. 24: p. 406-413.
[18]Lee, E.S., & Li, R. J, Fuzzy multiple objective programming and compromise programming with Pareto optimum. Fuzzy Sets and System, 1993. 53: p. 275–288.
[19]Lozano, S., & Gutierrez, E., & Moreno, P., Network DEA approach to airports performance assessment considering undesirable output. Applied Mathematical Modelling, 2013. 37: p. 1665-1676.
[20]Neumann, V., & Morgenstern, O., Theory of Games and Economic Behavior. 1947: Princeton Univ Pr.
[21]Rasmya, M.H., & Sang M. L., & Abd EI-Wahedc, W.F., & Ragabd, A. M., & EL-Sherbinye, M. M., An expert system for multiobjective decision making: application of fuzzy linguistic preferences and goal programing. Fuzzy Sets and System, 2002. 127: p. 209-220.
[22]Seiford, L.M., & Zhu, J., Profitability and marketability of the top 55US commercial banks. Management Science, 1999. 42: p. 1270-1288.
[23]Sitta, D., What can the brand manager expect from Facebook? Australasian Marketing Journal 2018. 26(1): p. 17-22.
[24]Song, M., Analysis of the Operating Efficiency of Online Game Industry in China Actualized by DEA. ACADEMY PUBLISHER, 2010. 5(11): p. 1216-1223.
[25]Tone, K., & Tsutsui, M.,, Network DEA: A slacks-based measure approach. European Journal of Operational Research, 2009. 197: p. 243-252.
[26]Vilfredo, P., Cours d'Economie Politique. 1896.
[27]Yang, C., & Liu, H.M, Managerial efficiency in Taiwan bank branches:A. 2012. 29: p. 450-461.
[28]Zeleny, M., & Cochrane, J.L., Multiple criteria decision making. McGraw Hill:New York, 1982.
[29]Zhaoa, Y., & Triantisa, K., & Murray-Tuite, P., & Edara, P., Performance measurement of a transportation network with a downtown space reservation system:A network-DEA approach. Transportation Research Part E: Logistics and Transportation Review, 2011. 47: p. 1140-1159.
[30]MorningStar. https://tw.morningstar.com/ap/main/default.aspx.
[31]Optimization Modeling Software for Linear, Nonlinear, and Integer Programming https://www.lindo.com/index.php/products/lingo-and-optimization-modeling.
[32]數位內容產業年鑑. 2016: 台灣經濟部工業局.
[33]左軍, 多目標決策分析. 1991.
[34]左晉瑋, 應用Network DEA於台灣基層農會經營績效之研究. 屏東科技大學, 2010.
[35]吳濟華 and 何柏正, 組織效率與生產力評估:資料包絡分析法. 2008: 前程文化.
[36]林秉葦, 台灣地區人壽保險公司績效分析-以H壽險公司運用Network DEA模型分析為例. 東吳大學, 2012.
[37]宣家驥, 多目標決策. 1989.
[38]高強, 管理績效評估:資料包絡分析法. 2003: 華泰文化.
[39]張保隆, 決策分析:方法與應用. 2006: 華泰文化.
[40]薄喬萍, 績效評估之資料包絡分析法. 2007.
[41]歷史短訊:電玩遊戲的歷史. http://programmermagazine.github.io/201312/htm/message1.html.
[42]網頁遊戲的興起與介紹. http://www.huataiganglian.com/c1/p3.php.
[43]各種效率評估方法. http://www.wunan.com.tw/www2/download/preview/1FQF.PDF.
[44]Mobile Revenues Account for More Than 50% of the Global Games Market as It Reaches $137.9 Billion in 2018. https://newzoo.com/insights/articles/global-games-market-reaches-137-9-billion-in-2018-mobile-games-take-half/.
[45]從搖杆到VR ,街機四十年,玩遊戲,我和爸爸沒有代溝. https://read01.com/zh-tw/PMezBj7.html#.W4aQrLh9hPY.
[46]張思思. 全球遊戲產值突破千億美元 最大市場在中國. 2017; https://www.cmmedia.com.tw/home/articles/4077.
[47]手機遊戲正式稱霸 營收首次超越PC、遊戲機. https://www.ettoday.net/news/20170717/968482.htm#ixzz5PZIZBzk9.
[48]雅達利2600. https://zh.wikipedia.org/wiki/%E9%9B%85%E9%81%94%E5%88%A92600.
[49]鄭智元, 軟體產業經營績效評估-應用二階段資料包絡分析 東吳大學, 2010.
[50]FODOR, P., 開發者談論出品一款價值遊戲的五個步驟. 2017.
[51]Edward. 市調公司 Digi - Capital 統計 2017 年遊戲業總產值首次突破 1500 億美金. 2017; https://gnn.gamer.com.tw/2/149762.html.
[52]Leo. 從創意發想到成品:透視遊戲產業鏈的運行. https://www.stockfeel.com.tw/遊戲產業鏈-創意發想/.
[53]黃巧菱, 採用資料包絡分析與資料探勘方法之數位學習系統分類研究. 東華大學, 2010.
[54]吳長駿, 研究發展費用、專利權與企業績效之關聯性研究,兼論專利法修法之影響. 國立中正大學, 2003.
[55]台灣公開資訊觀測站. http://mops.twse.com.tw/mops/web/index.
[56]全球專利檢索系統. https://gpss.tipo.gov.tw/gpsskmc/gpssbkm?@@1592371342.
[57]Beautiful Soup Documentation. https://www.crummy.com/software/BeautifulSoup/bs4/doc/.

 
 
 
 
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