政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/35284

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/35284

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政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 > Item 140.119/35284

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题名:	應用專家意見評估金融市場上專家價值之研究
作者:	楊昇達 Yang, Sheng Ta
贡献者:	劉文卿楊昇達 Yang, Sheng Ta
关键词:	專家專家意見內容分析法分析網路程序法專家價值
日期:	2005
上传时间:	2009-09-18 14:38:05 (UTC+8)
摘要:	近年來，投資理財的重要性與日俱增；但是，一般投資大眾往往無法掌握市場運作產生的資料、資訊；一方面是因為市場上流動的資訊過多，投資大眾很難有效篩選有幫助的資訊。另一方面則是因為投資人無法了解資料的涵義；因此，聽從某些專家的意見進行投資，可能是沒有時間與信心自行研究的一般投資大眾最終選擇。但是這些市場上所謂的專家們數量眾多，提出的意見可信度究竟有多少；一般投資大眾應該採信那些專家的意見，以降低投資的風險與獲利。本研究將結合內容分析法(Content analysis)與分析網路程序法(Analytic Network Process)，以專家提出的意見可信度來評估專家們的價值。預期提供投資人一個參考的依據，選擇價值較高的專家提出之意見進行研究，相信比起直接取用所有的專家意見進行分析，風險與成本會更為降低。 Recent years, there is more and more importance in investing and managing finances. Because too many information and the investors do not understand what these data really mean, the investors do not have ability to help themselves investing and earning profit. For the investors without time or confidence, it may be the final choice that according to some opinions comes from some professors to invest. However, there are so many professors, which one’s opinion is more reliably and believable? As a general investor, will apply which opinions help us reduce risk and make profit? In this research we combine content analysis and analytic network process to evaluate the professors in the financial market by how much believable in their opinions. We expect that this will support the investor a reference materials. Comparing with analyzing all opinions in the market directly, the risk and cost will be lower if applying the opinions comes from some valuable professors.
參考文獻:	[1] 王文科，教育研究法，五南出版社，台北，2002。 [2] 吳紹群，「內容分析法與圖書館學研究」，圖書與資訊學刊，40，47-61頁，2002。 [3] 陳虹遐，「應用分析網路程序法於液晶電視之生態效益評估」，國立成功大學，工業設計研究所碩士論文，2004。 [4] 游舒帆，「利用WordNet建立證券領域的語意結構」，國立政治大學，資訊管理研究所碩士論文，2005。 [5] 楊開煌，「中共研究中的內容分析法及其爭議與反省」，東亞季刊，20，2－28頁，1998。 [6] 楊孟麗，謝水南，教育研究法，心理出版社，台北市，2003。(原著出版年：1990) [7] Bernard Berelson, Content Analysis in Communication Research, Glencoe, 1952. [8] Cartwright, D. P.. "Analysis of qualitative material", Research methods in the behavioral sciences, pp. 421-470, in L. Festinger & D. Katz (Eds.), New York: Dryden., 1953. [9] David F. Groebner, Patrick W. Shannon, Phillip C. Fry, Kent D. Smith, Business Statistics : A Decision-Making Approach (6th), Prentice Hall, 2003. [10] Earl Babbie, The Practice of Social Research (10th), Wadsworth Publishing, 2003. [11] Huang J.J., Tzeng G.H., and Ong C.S. "Multidimensional data in multidimensional scaling using the analytic network process", Pattern Recognition Letters, 26, pp. 755-767, 2005. [12] Klaus Krippendorff, Content Analysis : An Introduction to Its Methodology (2nd), Sage Publications, 2003. [13] Kimberly A. Neuendorf, The Content Analysis Guidebook, Sage Publications, 2001. [14] Markoff, J. et al., "Toward the integration of content analysis and general methodology", Sociological methodology, In D.R. Heise (Ed.), San Francisco: Jossey-Bass, 1975. [15] Michael P. Niemira, Thomas L. Saaty, "An Analytic Network Process model for financial-crisis forecasting", International Journal of Forecasting, 20, pp. 573–587, 2004. [16] Robert Philip Weber, Basic Content Analysis (2nd), Sage Publications, 1990. [17] Roger D. Wimmer, Joseph R. Dominick, Mass Media Research : An Introduction(8th), Wadsworth Publishing, 2005. [18] Sarkis, J., "Quantitative models for performance measurement systems-alternate considerations", International Journal of Production Economics, 86, pp. 81-90, 2003. [19] Sarkis, J. and Talluri, S., "A model for strategic supplier selection", Journal of Supply Chain Management, 38:1, pp. 18–28, 2002. [20] Thomas L. Saaty, Decision Making with Dependence and Feedback, The Analytic Network Process (2nd), RWS Publications, USA, 2001. [21] W. Lawrence Neuman, Social Research Methods: Qualitative and Quantitative Approaches (5th), Allyn & Bacon, 2002. [22] HRBS Asia, http://www.hrbsasia.com [23] Super Decisions Software for Decision-Making, http://www.superdecisions.com/ [24] 建弘投信，http://www.nitc.com.tw/index.asp [25] 倍立投信，http://www.bscfund.com.tw/ [26] 基智網，http://www.funddj.com/y/yFund.htm
描述:	碩士國立政治大學資訊管理研究所 93356034 94
資料來源:	http://thesis.lib.nccu.edu.tw/record/#G0933560341
数据类型:	thesis
显示于类别:	[資訊管理學系] 學位論文

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