English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62822/95882 (66%)
Visitors : 4028418      Online Users : 577
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Journal Article [523/564]
    Proceeding [484/1127]
    Monograph [42/59]
    Chapter [5/13]
    Research Paper [39/158]
    Patent [7/16]
    Others [0/1]

    Collection Statistics

    Item counts issued in 3 years: 1(0.17%)
    Items With Fulltext: 574(100.00%)

    Download counts of the item
    Download times greater than 0: 572(99.65%)
    Download times greater than 10: 571(99.48%)
    Total Bitstream Download Counts: 147453(31.57%)

    Last Update: 2024-04-26 07:49


    Top Upload

    Loading...

    Top Download

    Loading...

    RSS Feed RSS Feed
    Jump to a point in the index:
    Or type in a year:
    Ordering With Most Recent First Show Oldest First

    Showing items 1-10 of 574. (58 Page(s) Totally)
    1 2 3 4 5 6 7 8 9 10 > >>
    View [10|25|50] records per page

    DateTitleAuthors
    2023-08 探討科技認同對於員工角色內、外行為的影響:整合組織認同與角色認同的干擾效果 張簡郁庭; Chang, Chien Yu-Ting
    2017 基於知識本體之企業價值的變化 : 以財經新聞為例 蕭逢均; Hsiao, Feng-Chun
    2017 以適應性結構化理論觀點探討組織導入ISMS之關鍵成功因素與互補性資產 李維祚; Li, Wei-Tso
    2017 基於社群媒體訊息的事件偵測與追蹤之研究 李琳; Lee, Lin
    2017 結合意見探勘之電影推薦系統的研究 陳仕堯; Chen, Shi-Yao
    2017 探討顧客認知處理之前置因素與對購買意圖之影響 熊峻佑; Hsiung, Chun-Yu
    2017 基於詞性組合的意見字典擴增方法之研究 王雅詩; Wang, Ya-Shih
    2017 用資料探勘方法預測對抗型團隊比賽的勝率 : 以NBA例行賽為例 王斯霈; Wang, Szupei
    2017 應用深度學習於社群網路消費者評論之情感分析研究 林岳達; Lin, Yue-Da
    2017 智慧家庭系統之應用機器學習建置多人協調控制機制 蔡元傑; Tsai, Yuan-Jie

    Showing items 1-10 of 574. (58 Page(s) Totally)
    1 2 3 4 5 6 7 8 9 10 > >>
    View [10|25|50] records per page

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback