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研究生： 林泓均
Lin, Hung-Chun
論文名稱： 以專利探勘建立企業生態系統知識輪廓之研究
Developing Knowledge Profiles of Business Ecosystem with Patent Mining
指導教授： 陳灯能
Chen, Deng-Neng
學位類別： 碩士
Master
系所名稱： 管理學院 - 資訊管理系所
Department of Management Information Systems
論文出版年： 2023
畢業學年度： 111
語文別： 中文
論文頁數： 114
中文關鍵詞： 企業生態系統 、知識輪廓 、專利探勘 、文字探勘 、迴歸分析
外文關鍵詞： Business Ecosystem, Knowledge Profile, Patent Mining, Text Mining, Regression Analysis
DOI URL： http://doi.org/10.6346/NPUST202300010
相關次數： 點閱：44  下載：5 
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    • 在目前數位經濟時代下，建構企業生態系統是一項在企業經營中最具競爭力的策略之一，而企業專利代表著企業的隱含價值與競爭力，因此本研究利用專利探勘技術建立各指標，並以專利強度與多樣性兩種角度去分析企業生態系統中，企業專利指標對於企業績效之間的關係變化，以提供企業專利投入與布局方向的參考。
    本研究以Google企業生態系統為對象，透過專利探勘技術結合企業各年財務績效資料，將企業的專利資料處理後，再以生態系統的強度與多樣性角度建立指標並評估與企業績效之影響關係，以此方法描繪出企業生態系統的知識輪廓，結果可以發現專利強度指標會對企業績效指標有顯著的正相關，而專利多樣性指標會對企業績效有顯著的負相關。

    In the current digital economy, constructing a Business Ecosystem is one of the most competitive strategies in business management.
    Enterprise patents represent the hidden value and competitiveness of enterprises, so this study will use Patent Mining technology to establish various indicators and analyze the relationship between the changes in enterprise patent indicators and corporate performance in the Business Ecosystem from the perspective of Patent Strength and Patent Diversity.
    This will help provide reference for the direction of patent investment and deployment by enterprises and increase competitiveness. This study takes Google's Business Ecosystem as the research object, and through Patent Mining technology combined with the financial performance data of the enterprise in each year, processes the patent data of the enterprise, and then establishes indicators from the perspective of the Patent Strength and Patent Diversity of the ecosystem to evaluate the impact on corporate performance. This method will depict the Knowledge Profile of the Business Ecosystem and construct a Knowledge Profile-performance evaluation model of the Business Ecosystem.
    The results show that the Patent Strength index will have a significant positive correlation with the business performance index, while the Patent Diversity index will have a significant negative correlation with the business performance.

    第一章、緒論 1
    1.1 研究背景與動機 1
    1.2 研究目的 3
    1.3 研究流程 5
    第二章、文獻探討 7
    2.1 企業生態系統（Business Ecosystem） 7
    2.2 知識輪廓（Knowledge Profile） 8
    2.3 專利探勘（Patent Mining） 11
    2.3.1 文字探勘（Text Mining） 12
    2.3.2 專利多樣性（Patent Diversity） 17
    2.3.3 專利強度（Patent Strength） 19
    第三章、研究方法 20
    3.1 系統架構 20
    3.2 資料來源 23
    3.3 研究工具 25
    3.3.1 Google Cloud Platform 26
    3.3.2 MongoDB資料庫 26
    3.3.3 JupyterLab開發環境與套件 27
    3.4 研究步驟 28
    3.4.1 Google專利公開數據集蒐集 29
    3.4.2 企業生態系成員企業擷取 30
    3.4.3 專利指標建立 30
    3.4.4 建立企業生態系統知識輪廓資料庫 33
    3.4.5 企業財務績效獲取 33
    3.4.6 專利指標與績效影響分析 37
    3.4.7 建立企業生態系統知識輪廓-績效評估模型 42
    第四章、研究成果 43
    4.1 系統環境 43
    4.2 企業生態系定義方法 45
    4.3 企業生態系相關指標 56
    第五章、結論 99
    5.1 研究結果 99
    5.2 研究貢獻 99
    5.3 研究限制 100
    第六章、參考文獻 101
    附錄 104

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