English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 80990/80990 (100%)
造訪人次 : 41635344      線上人數 : 1373
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋


    請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/80594


    題名: 運用文字採礦分析東協國家工業4.0的發展
    作者: 莊凱傑;Jack, Chong Kai
    貢獻者: 企業管理學系
    關鍵詞: 工業4.0;東協;文字採礦;概念連結;主題分析;Industry 4.0;ASEAN;text mining;concept links;topic analysis
    日期: 2019-07-26
    上傳時間: 2019-09-03 14:46:55 (UTC+8)
    出版者: 國立中央大學
    摘要: 工業4.0無疑是當下先進國家尤其是工業界最熱門的話題之一,無論是大數據、物聯網、人工智慧等等的名詞,都跟工業4.0脫離不了關係。工業4.0由德國提出,意在創造出下一個時代的智能製造,讓機器與工廠擁有近乎人的智慧,能夠自主的思考、判斷與決策,讓生產力大幅度的提升。東南亞國家協會(東協),則是最近崛起最快的經濟體之一,並繼承了大陸之後的另一個世界工廠,專門以勞力密集的方式來做代工生產。工業4.0在東協的情況,雖然有研究的價值,但探討的人並不多,能夠跟工業4.0牽扯到的東協國家的論文,更是屈指可數。本論文主要是通過文字採礦方式,來為研究東協各國的工業4.0發展趨勢。文字採礦所運用的方法有兩個,分別是畫概念連結圖與主題分析(文字歸類)。資料來源則是通過Lexisnexis Academic資料庫來收集東協各國(新加坡、馬來西亞、泰國、印尼、菲律賓、越南)於2016-2018年在全球的英文新聞。

    研究結果發現,東協各國的跟工業4.0有關的新聞逐年有上升的趨勢。根據東協各國的不同年份(industry 4.0)關聯詞語的比較,雖然一開始大家對工業4.0的想法都有些類似,但隨著時間的發展卻有了很大的差異。從主題分析中,我們發現各國每年對工業4.0都會有不一樣的主題,彼此之間的主題差異也很大。從概念連結圖中,我們可以從不同關聯詞語發現工業4.0在各國的發展脈絡。對於印尼,它的態度是傾向於被動的去適應工業4.0的時代。對於新加坡,它是六國之中對工業4.0的想法是最成熟的。對於泰國,它是研究工業4.0後,專注於價值鏈的設計端與生產端。對於馬來西亞,它是六國之中對最多高官對工業4.0在新聞有表示看法的。對於越南,它則是六國之中最吸引投資者目光的。對於菲律賓,該國政府也有積極的培養工業4.0人才。
    ;Industry 4.0 is undoubtedly one of the hottest topics in advanced countries, especially in industrial areas. Keywords such as big data, Internet of Things, artificial intelligence, etc., are inseparable from Industry 4.0. Industry 4.0 was proposed by Germany to create intelligent manufacturing in the next era, allowing machines and factories to have near-human wisdom, to be able to think, judge and make decisions autonomously, so that productivity can be greatly improved. The Association of Southeast Asian Nations (ASEAN) is one of the fastest-rising economies in recent times and has inherited another world factory after china, specializing in foundry production in a labor-intensive manner. In the case of Industry 4.0 in the ASEAN, although it has the value of research, there are not many people to discuss, and there are only a handful of papers in the ASEAN countries that can be involved with Industry 4.0. This paper mainly uses the text mining method to study the development trend of Industry 4.0 in ASEAN countries. There are two methods used in text mining, namely, concept linking analysis and topic analysis (text categorization). The data source is through the Lexisnexis Academic database to collect English news from Singapore, Malaysia, Thailand, Indonesia, Philippines and Vietnam in 2016-2018.

    The study found that news related to Industry 4.0 in ASEAN countries has been increasing year by year. According to the comparison of the related terms of the different years of the ASEAN countries regarding industry 4.0, although the ideas of Industry 4.0 were somewhat similar at the beginning, they have a very different idea over time. From the analysis of the themes, we find that countries have different themes for Industry 4.0 every year, and the differences between themes are also very large. From the concept link diagram, we can discover the development of Industry 4.0 in different countries from different related words. For Indonesia, its attitude is to be passive to adapt to the era of Industry 4.0. For Singapore, the idea of Industry 4.0 among the six countries is the most mature. For Thailand, after researching Industry 4.0, focus on the design and production side of the value chain. For Malaysia, among the six countries, the most high-ranking officials have expressed their views on Industry 4.0 in the news. For Vietnam, it is the most attractive among investors in the six countries. For the Philippines, the government also has an active training of Industry 4.0 talent.
    顯示於類別:[企業管理研究所] 博碩士論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML222檢視/開啟


    在NCUIR中所有的資料項目都受到原著作權保護.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明