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    請使用永久網址來引用或連結此文件: https://irlib.pccu.edu.tw/handle/987654321/30220


    題名: 銀行業對文化創意產業授信風險評估因素之研究
    The Risk Evaluations Factors of Bank’s Loan to Cultural and Creative Industries
    作者: 黃楷揆
    Huang, Kai-Kuei
    貢獻者: 國際企業管理學系碩士在職專班
    關鍵詞: 文化創意產業
    授信評估
    模糊網路層級分析法
    Cultural Creative Industries
    Credit Checking
    Fuzzy Analytic Network Process
    日期: 2015-06
    上傳時間: 2015-08-17 11:02:41 (UTC+8)
    摘要: 自二十世紀末期,英國開始推動文化創意產的發展,往後各國也紛紛效仿,致力於該產業的發展方針,台灣自2002年也開啟了文化創意產業的政策推動。2013年金融監督管理委員為了加速文化創意產業的發展,提出「金融挺創意產業專案計畫」,期望透過多元的資金管道,以扶植創意產業發展。然而銀行業對於該產業的了解有限,進而影響銀行融資意願,也阻礙了文創產業的發展。
    為協助文化創意產業發展,增加銀行業對該產業的授信評估,本研究從專業銀行從業人員觀點,探討銀行對文創產業授信風險評估的關鍵因素,總計發放22份,回收16份正式問卷,包含12位主管職級,並採用模糊網路層級分析法衡量各項構面及評量準則間的權重關係。
    經研究結果發現,在各構面評估中,權重大小依序為財務結構、政策因素、無形資產、經營管理、未來展望;在整體評估準則排序上,前五名依序為政府補助、產品市場性、品牌知名度、產品創新性、有認證的智慧財產權。
    From the late twentieth century on, the United Kingdom started to promote the development of cultural creative industries. Later, other countries followed the UK example to endeavor to set up a policy for these industries. Taiwan also started to push through a policy for cultural creative industries from 2002. And in 2013, in the purpose of helping improve the environment for cultural creative industries to develop, Financial Supervisory Commission R.O.C (Taiwan) proposes the plan of Funding Support for Innovation Industries Program, hoping to help the cultural creative industries grow through various financing channels. However, limited by insufficient understanding of these industries, banks are unwilling to finance the cultural creative industries, and thus hinders their developments.
    In order to help the cultural creative industries grow and to increase banks’ loan for them, this research will, from a bank professional’s point of view, discuss the risk evaluation key factors of bank's loan to cultural and creative industries. A total of twenty-two formal questionnaires are handed out, and among them, sixteen are collected, which include twelve questionnaires from executive positions. Then, the relative weight of each component and checking criterion are measured with fuzzy analytic network process.
    The result shows that, while assessing each component, their relative weight are ranked as: financial component, political factors, intangible assets, management, and future prospect. The first five components are: government subsidies, product market, brand awareness, product novelty, and certified intellectual property rights.
    顯示於類別:[企業管理學系暨國際企業管理研究所] 博碩士論文

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