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    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/67336
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/67336


    Title: 結合灰預測與資料包絡分析法之策略聯盟績效評估模式-以台灣資訊服務業為例
    A Strategic Alliance Performance Evaluation based on Grey prediction and DEA - Case by Information Service Industry in Taiwan
    Authors: 王智弘
    Wang, Chih Hung
    Contributors: 季延平、林柏生
    王智弘
    Wang, Chih Hung
    Keywords: 策略聯盟
    灰預測
    資料包絡分析法
    strategic alliances
    gray prediction
    data envelopment analysis
    Date: 2013
    Issue Date: 2014-07-07 11:13:51 (UTC+8)
    Abstract: 面對全球ICT投資成長趨勢,帶來了資訊服務業的龐大商機,引起各資訊服務企業投入競爭,企業必須不斷強化競爭優勢,採行適當措施以調整企業本身體質。企業利用既有資源的互補、結合,可使企業毋須額外投入資源或投入有限資源情況下達到提升企業競爭力目的,稱為策略聯盟。

    企業策略聯盟時,須同時考量企業內部經營績效與尋求外部聯盟的企業狀況,如何有效選擇聯盟合作企業,以及聯盟後是否能有效提升企業競爭力,實為當今企業管理者在面臨嚴苛經營環境必須面對專注的課題。

    企業管理透過績效評估工具,可使管理者瞭解資源運用的效果,並可作為企業未來資源調配的參考,使企業資源運用能與經營目標結合。

    灰預測(Grey Prediction)為根據過去簡單歷史資料即可準確推估未來,為衡量企業未來表現之科學評估方法;資料包絡分析法 (Data Envelopment Analysis,DEA)用於解決多投入多產出項問題,利用客觀計量運算及邏輯推導,於企業進行策略聯盟時,最適合應用此方法作為聯盟對象之選擇。

    本研究建立台灣資訊服務業進行策略聯盟時之績效評估模式,提供管理者選擇最適聯盟對象之決策參考,藉以提升企業經營效率,強化競爭能力。
    The growing trend of global investments in ICT has brought enormous opportunities in the information service industry. Under this trend, companies must continue to strengthen their competitive advantages. The integration of existing and/or complementary resources across different companies through co-operation could allow an individual enterprise to limit resource input and therefore achieve better competitiveness. This concept is known as strategic alliances.

    To form a strategic alliance, a company must consider both internal operating performance and external business conditions. How to choose a partner and determine whether the alliance could effectively enhance the competitiveness of the business should be the focuses of today's business managers. Through the use of performance evaluation tools, the managers of an enterprise can understand the efficiency of resource utilization, which can in turn be used as a reference for future resource allocation. Company resources can therefore be applied to the business objectives of the enterprise more efficiently.

    Grey prediction is a scientific assessment method that can accurately estimate future simply based on historical data. It can therefore be used to estimate the future performance of the company. Data Envelopment Analysis (DEA) is a method that deals with multi-input and multi-output scenarios by using objective measurement of operations and logical deductions. When a business enterprise plans to form a strategic alliance, DEA is the most suitable method to be used to select a partner.

    This study establishes the performance evaluation model of strategic alliances between business enterprises within the IT service industry of Taiwan, and in turn provides business managers a useful reference for better decision-making, thus serves as an effective tool to help enhance business efficiency and competitiveness.
    Reference: 一、中文參考文獻
    尤克熙,1995,國際策略聯盟實行條件相關因素之實證與探討-以高科技產業為例,中山大學企業管理研究所。

    王天津、林英玲,2003,以灰色理論預測台灣證券交易所發行量加權股價指數之研究,第四屆電子化企業經營管理理論暨實務研討會。

    江勁毅、曾國雄,2000,新的DEA效率衡量方式:以模糊多目標規劃建立之效率達成度,管理學報,17(2),369-388。

    李文瑞,2000,策略聯盟類型與績效影響因素之研究,中山管理評論,8(2): 273-302。

    李宗儒、鄭卉芳,2000,應用灰色理論預測農作物之價格-以紅豆為例,農林學報,49(2),83-92。

    李玉芬,2006,台灣區國民生產毛額灰預測模型之研究,義守大學資訊工程學系碩士班。

    李雅如,2008,灰預測和資料包絡分析評估策略聯盟績效-以台灣TFT-LCD產業為例,高雄應用科技大學工業工程與管理系研究所。

    李政儒,2008,我國外事警察績效比較分析:資料包絡分析法(DEA)之應用,國立中山大學政治學研究所。

    李忠諭,2009,台灣線上音樂服務提供者之優勢資源與策略聯盟分析,中正大學電訊傳播研究所。

    江照勇,2008,應用灰預測在熱傳逆問題之研究,成功大學機械工程學系機械工程學系碩博士班。

    朱秋瑾,2009,運用灰預測與灰馬可夫衡量新興市場經濟發展程度,樹德科技大學經營管理研究所。

    吳青松,1996,國際企業管理,台北:智勝文化事業。

    吳青松,1990,併購抑籌建新廠:外人在美直接投資之策略選擇,台大管理論叢,1(1)。

    沈建興,2010,台灣壽險業通路績效之研究─以灰預測分析,致理技術學院服務業經營管理研究所。

    林志豪,1998,產業環境、廠商能力對策略聯盟特性與績效關係之研究-以我國汽車零組件廠商為例-,銘傳大學國際企業管理研究所。

    施振榮,2000,施振榮與宏碁集團的策略聯盟,台北:遠見天下文化出版股份有限公司。

    張寶光、周濟群、馮秀鳳,2002,半導體產業經營效率之研究-資料包絡分析法之應用,中原大學會計研究所。

    陳怡妏,2002,半導體產業景氣之灰預測研究-以台積電為例,彰化師範大學商業教育學系研究所。

    陳怡秀,2003,臺灣銀行業整合之實證研究-資料包絡分析法之應用,交通大學管理科學系研究所。

    梁智淵,2004,應用於直流馬達速度控制之灰預測器,交通大學電機與控制工程系所。

    梁馨科、江俊霖、賴家德,2005,以資料包絡分析法評估生物科技公司之整合效率,中國工業工程學會九十四年度年會暨學術研討會。

    許晉銘,2006,台灣地區機場績效評估-二階段資料包絡分析法之應用,中山大學公共事務管理研究所。

    梁文鴻,2008,以資包絡法評估國營發電部門之績效,國立中山大學財務管理學系研究所。

    許秀月,2010,應用灰預測於維修備料預測之研究—以印表機維修公司為例,中華大學資訊管理學系碩士班。

    陳善民,2008,定期貨櫃航商策略聯盟夥伴評選之研究-模糊多準則決策方法之應用,臺灣海洋大學航運管理學系。

    陳建舜,2011,探討網路犯罪之研究,中華大學資訊管理學系研究所。
    許亢亭,2012,運用灰預測模型探討松山機場兩岸直航客運量發展,中華科技大學航
    空運輸研究所。

    傅衡宇,1997,策略聯盟夥伴選擇評估準則之研究-以台灣地區船舶運送業為例,台灣海洋大學航運管理研究所。

    黃亭瑜,2001,行動電話效率分析--資料包絡分析法,東吳大學經濟學系研究所。

    曾憲立,2006,國內大學績效評量有關規模效率之探討-資料包絡分析法之應用,中山大學公共事務管理研究所。

    曾韻慈,2010,航空客運業策略聯盟績效分析-以亞洲地區為例。交通大學經營管理研究所碩士論文。

    楊森傑,2000,股價指數價格預測與避險操作-熵預測模型與灰預測模型之應用,銘傳大學金融研究所。

    溫坤禮、黃宜豊、陳繁雄、李元秉、連志峰、賴家瑞,2002,灰預測原理與應用,台北:全華圖書公司。

    賴雅音,2008,高科技產業跨國策略聯盟之研發團隊組成模式分析,交通大學管理學院碩士在職專班科技管理組。

    鄧聚龍、郭洪,1996,灰預測原理與應用,台北:全華圖書。

    鄧聚龍、郭洪、溫坤禮、張廷政、張偉哲,1999,灰預測模型方法與應用,台北:高立圖書公司。

    劉蓓雯,2006,二代健保對全民健保財務收支影響之預測研究,成功大學統計學系研究所。

    劉俊儀,2008,跨國科技競爭力之評估與預測研究,交通大學科技管理研究所博士班。

    二、英文參考文獻
    Ally, Z. (2013), “Efficiency Analysis of Commercial Banks in Tanzania: An Application of Data Envelopment Analysis (DEA) Approach: The Case study of Regional & Small Banks”, European Journal of Business and Management, 5(31), 193-203.

    Banker, R.D., Charnes, A. & Cooper, W. W. (1984), “Some models for estimating technical and scale efficiencies in data envelopment analysis”, Management Sciences, 30(9): 1078-1092.

    Banker, R. D., Chang, H. H. & Majumdar, S. K. (1998), “Economies of scope in the U.S. telecommunications industry”, Information Economics and Policy, 10(2): 253-272.

    Barney, J. (1997), “Firm resources and sustained competitive advantage”, Journal of Management, 17(1): 99-120.

    Bhattacharyya, A., Lovell, C. A. K. & Sahay, P. (1997), “The impact of liberalization on the productive efficiency of Indain commericial banks”, European Journal of Operational Research, 98(2): 332-345.

    Charnes, A., Cooper, W. W. & Rhodes, E. (1978), “Measuring the efficiency decision making units”, European Journal of Operational Research, 2(6): 429–444.

    Contractor, F. J. & Lorange P. (1998), “Cooperative strategies in international business”, New York: Lexington Books.

    Das, T. K. & Teng, B. S. (2000), “A resource based theory of strategic alliances”, Journal of Management, 26 (1): 31-61.

    Devlin, G. & Bleackley, M. (1998), “Strategic alliances—guidelines for success”, Long Range Planning , 21(5): 18-23.

    Evans, N. (2001), “Collaborative strategy: an analysis of the changing world of international airline alliances”, Tourism Management, 22(3): 229-243.

    Farrell, M. J. (1957), “The measurement of productive efficiency”, Journal of the Royal Statistical Society, 120(3): 253-290.

    Faulker, W. & Senker, J. (1995), “Policy and management issues in company links with academic and government laboratories”, A cross-technology study, 6(1): 95-112.

    Gamal, I. (2002), “Make strategic relationships a success”, Journal of Accountancy, 194(3): 53-56.

    Gersony, N. (1996), “Sectoral effects on strategic alliance performance for new technology firms”, The Journal of High Technology Management Research, 7(2): 175-189.

    Golany, B. & Roll, Y. (1989), “An application procedure for DEA”, Omega, 17(3): 237-250.

    Hill, C. W. L. & Jones, G. R. (2001), “Strategic management theory-an integrated approach”, U.S.: Houghton Mifflin Company.

    Hogg, R. (2013), “Local health department efficiency: A data envelopment analysis”, In 141st APHA Annual Meeting .

    Hughes, A. & Yaisawarng, S. (2004), “Sensitivity and dimensionality tests of DEA efficiency scores”, European Journal of Operational Research, 154(2): 410-422.

    Jahanshahloo, G. R., Junior, H. V., Lotfi, F. H. & Akbarian, D. (2007), “A new DEA ranking system based on changing the reference set”, European Journal of Operational Research, 181(1): 331-337.

    Jemric, I. & Vujcic, B. (2002), “Efficiency of banks in Croatia: A DEA approach”, Comparative Economic Studies, 44(2): 169-193.

    Kale, P., Dyer, J. H. & Singh, H. (2002), “Alliance capability, stock market response, and long-term alliance success: the role of the alliance function”, Strategic Management Journal, 23(8): 747-767.

    Killing, J. P. (1988), “Understanding alliances: The role of task and organizational complexity”, New York: Lexington Books.

    Kumar, N. (1997), “The power of trust in manufacturer-retailer relationships”, Boston: Harvard Business Review.

    Lewis, J. D. (1997), “The Connected Corporation”, New York: Free Press.

    Li, X. B. & Reeves, G. R. (1999), “A multiple criteria approach to data envelopment analysis”, European Journal of Operational Research, 115(3): 507–517.

    Lowensberg, D. (2010), “A “new” view on “traditional” strategic alliances’ formation paradigms”, Management Decision, 48(7), 1090-1102.

    Mellat-Parast, M. (2007), “A framework quality management and the practice of strategic alliances”, Management Decision, 45(4), 802-818.

    Nyhan, R. C. & Martin, L. L. (1999), “Comparative performance measurement: A primer on data envelopment analysis”, Public Productivity and Management Review, 22(3): 348-364.

    Porter, M. E. & Fuller, R. (1986), “Competition in global industries”, Boston: Harvard Business School Press.

    Rule, E. & Keown, S. (1998), “Competencies of High-Performing Strategic Alliances”, Strategic Leadership, September-October, 36-37.

    Shieh, C. J., & Yeh, S. P. (2014), “Efficiency Evaluation of Web-based Learning on Multinational: A Case Study on Financial Industry”, Anthropologist, 17(1), 75-79.

    Stonehouse, G. & Campbell, D. (2004), “Globe and transnational business: strategy and management”, New Jersey: Wiley.

    Sueyoshi, T. (1997), “Measuring efficiencies and returns to scale of Nippon telegraph & telephone in production and cost analyses”, Management Science, 43(6): 779-796.

    Tone, K. (2001), “A slacks-based measure of efficiency in data envelopment analysis”, European Journal of Operational Research, 130(3): 498-509.

    Tone, K. (2002), “A slacks-based measure of super-efficiency in data envelopment analysis”, European Journal of Operational Research, 143(1): 32-41.

    Tyler, B. B. & Steensma, H. K. (1998), “The effects of executives’ experiences and perceptions on their assessment of potential technological alliances”, Strategic Management Journal, 19(10): 939-965.

    Varadarajan, P. R. & Cunningham, M. H. (1995), “Strategic alliances: A synthesis of conceptual foundations”, Journal of the Academy of Marketing Science, 23(4): 282-296.

    Yoshino, M. Y., & Rangan, U. S. (1995), “Strategic alliances: An entrepreneurial approach to globalization”, Boston: Harvard Business School Press.

    Yuan, B. & Wang, M. Y. (1995), “The influential factors for the effectiveness of international strategic alliances of high-tech industry in Taiwan”, International Journal of Technology Management, 10(7): 777-787.
    Description: 博士
    國立政治大學
    資訊管理研究所
    98356501
    102
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0098356501
    Data Type: thesis
    Appears in Collections:[資訊管理學系] 學位論文

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