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    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/124716


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    题名: 金融科技專利與銀行績效-基於企業層級之時間序列與橫斷面資料分析
    Fintech Patents and Bank Performance: Evidence from the Time-Series Cross-Section Analyses on the Firm Level
    作者: 陳禹丞
    Chen, Yu-Chen
    贡献者: 張欣綠
    Chang, Hsin-Lu
    陳禹丞
    Chen, Yu-Chen
    关键词: 社群媒體
    金融科技專利
    創新
    企業績效
    Social media
    Fintech Patent
    Innovation
    Firm Performance
    日期: 2019
    上传时间: 2019-08-07 16:08:04 (UTC+8)
    摘要: 近年來,金融科技在銀行和科技業掀起一陣炫風。一些研究發現,專利質量對公司的股票價格或價值主張有正向影響。在先前的研究中,使用專利質量和數量等專利資訊來衡量企業的技術創新。在本研究中,我們提出了兩個新的專利指標,專利多樣性和專利普及性。結合傳統專利指標:專利質量和數量,我們討論這些專利資訊對於公司績效的影響。我們特別專注於金融科技專利和銀行績效。我們從USPTO收集橫跨7年(2012年至2018年)的28家銀行的專利資料。結果顯示,金融科技的專利質量,專利多樣性和專利普及性與銀行績效呈正相關,但專利數量與銀行績效呈負相關。我們的研究結果有助於銀行了解金融科技專利與銀行績效之間的關係。為銀行業經理人提供政策或決策上的參考指導。
    In recent years, financial technology (“fintech”) has gone viral in the banking and technological industries. Some studies have found that patent quality positively impacts a firm’s stock price or value propositions. Previous studies have used patent information, such as patent quality and quantity, to measure a firm’s technological innovations. In this study, we propose two new patent indicators: patent diversity and patent popularity. Combining traditional patent indicators—quality and quantity—we discuss the impact of this patent information on a firm’s performance. We specifically focused on fintech patents and bank performance and collected patent data from the USPTO using 28 banks across 7 years periods (2012 until 2018). The results show that fintech patent quality, patent diversity, and patent popularity are positively associated with bank performance, but patent quantity has a negative association with bank performance. Our findings help the banks to understand the relationship between fintech patents and bank performance. The results can provide managers in the bank industry with reference guidance for policy or decision making.
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    描述: 碩士
    國立政治大學
    資訊管理學系
    106356033
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0106356033
    数据类型: thesis
    DOI: 10.6814/NCCU201900560
    显示于类别:[資訊管理學系] 學位論文

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