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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/69470


    Title: 產品成為主流之過程與影響因素
    Mainstream Products: Formation and Determinant Factors
    Authors: 陳年億
    Chen, Nein Yi
    Contributors: 何靜嫺
    Ho, Shirley
    陳年億
    Chen, Nein Yi
    Keywords: 網絡
    學習
    流行
    動態行為模型
    重複加權平均
    馬可夫鍊
    network
    learning
    popular
    dynamic behavior model
    repeated weighted average
    Markov chain
    Date: 2014
    Issue Date: 2014-09-01 13:51:28 (UTC+8)
    Abstract: 本文模型來自於DeGroot (1974)的模型,以此模型為基礎延伸至兩產品之架構,並利用比較效果與網絡效果疲乏之間的交互作用,而得到了本文的定理2.。此定理2.可解釋許多市場上,廠商選擇其產品推出時間而影響其銷售量之變化。因此,本文對於兩廠商的競爭提出了一個新觀點:廠商因何時推出其產品,而能使得其產品成為主流。我們討論的不是價格或者品質的競爭,而在於產品相對推出的時間,因此,本文在定理2.得到了一個充分條件,這個條件讓廠商知道應何時推出其產品,而此產品可成為市場上之主流產品。
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    2.Acemoglu, D., & Ozdaglar, A. (2011). Opinion dynamics and learning in social networks. Dynamic Games and Applications, 1(1), 3-49.
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    9.DeMarzo, P. M., Vayanos, D., & Zwiebel, J. (2003). Persuasion bias, social influence, and unidimensional opinions. The Quarterly Journal of Economics, 909-968.
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    13.Jackson, M. O. (2010). Social and economic networks. Princeton University Press.
    14.Jadbabaie, A., Molavi, P., Sandroni, A., & Tahbaz-Salehi, A. (2012). Non-Bayesian social learning. Games and Economic Behavior, 76(1), 210-225.
    15.Krause, U. (2000). A discrete nonlinear and non-autonomous model of consensus formation. Communications in difference equations, 227-236.
    16.Mueller‐Frank, M. (2013). A general framework for rational learning in social networks. Theoretical Economics, 8(1), 1-40
    17.Pan, Z. (2010). Trust, influence, and convergence of behavior in social networks.Mathematical Social Sciences, 60(1), 69-78.
    18.Teraji, S. (2003). Herd behavior and the quality of opinions. The Journal of Socio-Economics, 32(6), 661-673.
    Description: 碩士
    國立政治大學
    經濟學系
    101258030
    103
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G1012580301
    Data Type: thesis
    Appears in Collections:[經濟學系] 學位論文

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