English  |  正體中文  |  简体中文  |  Items with full text/Total items : 49633/84879 (58%)
Visitors : 7696785      Online Users : 61
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
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/103548


    Title: Detecting Students’ Online Entrepreneurial Activities by Fuzzy Statistics
    Authors: 張鈿富
    Chang, Dian-Fu
    Chou, Wen-Ching
    Nyeu, Fong-Yee
    Contributors: 教育政策與領導研究所
    Keywords: Online entrepreneurial activities
    Entrepreneurship
    Fuzzy statistics
    Fuzzy distance
    Date: 2015-08-22
    Issue Date: 2015-08-21 12:05:25 (UTC+8)
    Publisher: ICIC International
    Abstract: Reviewing the related literature, we found the phenomena of Web businesses are the primary creators of innovation and new jobs. E-commerce has quickly become a preferred way for people to shop. This study aims to realize the students’ entrepreneurial activities on web. We applied a self-designed fuzzy questionnaire to collect data. The fuzzy interval data were analyzed by using fuzzy mean, center, radius, and fuzzy distance. We considered the gender and majors to compare the group differences. The finding suggests that the students favored the entrepreneurial activities on web in terms of interpreting their intent and feasibility. While both intent and feasibility are at medium level in our fuzzy scale. The gaps between the online entrepreneurial intent and feasibility are small. This study suggests more institutional provisions are necessary in this field.
    Relation: ICICIC 2015 Proceedings, p. 161
    Appears in Collections:[教育政策與領導研究所] 會議論文

    Files in This Item:

    There are no files associated with this item.

    All items in 機構典藏 are protected by copyright, with all rights reserved.


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