English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 91280/121421 (75%)
Visitors : 25385020      Online Users : 61
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU 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
    政大機構典藏 > 商學院 > 資訊管理學系 > 會議論文 >  Item 140.119/75185
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/75185

    Title: A novel chance model for building innovation diffusion scenario
    Authors: Hong, C.-F.;Lin, M.-H.;Yang, Hsiao-Fang;Huang, C.-J.
    Contributors: 資管系
    Keywords: Chance building;Chance discovery;Innovation diffusion;Rare association rules mining;Weak-Tie;Association rules;Cybernetics;Data storage equipment;Diffusion;Statistical methods;Technology;Videodisks;Innovation
    Date: 2010
    Issue Date: 2015-05-20 16:23:18 (UTC+8)
    Abstract: In order to stay in business, nowadays companies frequently face the problem of choosing new technologies in making new products. To stay in the trend, firms need to sift out useful new technologies from available technologies to gain competitive edges. In this research, we propose a chance model to help creating an innovation diffusion scenario. Three different filtering methods were developed in this model: first, frequent knowledge and outlier were ruled out using upper bound and lower bound of rare chances which were determined by the statistical distribution of skewness. Second, a new event detection method filtered out rare but older event while maximum entropy method filtered out rare but inactive technologies. Third, the diffusion path crossing chasm was discovered and its social influence guaranteeing a successful scenario was estimated. Case study showed the trend of DVD, which followed our model to discover an innovation diffusion scenario; the weak-tie, LIETON-IT, is the diffusion path for diffusing the new technology, H-H DVD-DUAL, into the DVD-DUAL social network. Besides, our model also discovered LIETON-IT owns stronger social influence power to diffuse H-H DVD-DUAL into the social network. The experimental results evidence the usefulness of our model in building innovation diffusion scenario. ©2010 IEEE.
    Relation: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.1109/ICSMC.2010.5641965
    DOI: 10.1109/ICSMC.2010.5641965
    Appears in Collections:[資訊管理學系] 會議論文

    Files in This Item:

    File SizeFormat

    All items in 政大典藏 are protected by copyright, with all rights reserved.

    社群 sharing

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