政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/113058

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113392/144379 (79%)
Visitors : 51196087 Online Users : 923

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大典藏 > College of Commerce > Department of MIS > Periodical Articles > Item 140.119/113058

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/113058

Title:	Innovative chance discovery for finding innovative useful idea in travelling
Authors:	林木花林我聰 Lin, Mu Hua Hong, Chao Fu Lin, Woo Tsong
Contributors:	資管系
Keywords:	Commerce;Decision making;Students;Blue Ocean Strategy;Boston consulting groups;Classification models;Cluster frequencies;Innovative value;Lead users;Multiobjective decision;Transformation functions;Decision theory
Date:	2017-01
Issue Date:	2017-09-15 16:10:20 (UTC+8)
Abstract:	If the following enterprises want to enter the blue ocean strategy market with high profits, they need to find the value for new products earlier and take up a position in the new markets. In order to survive for a longer time, enterprises have to find the rare and valuable information at the early stage. To achieve this purpose, the researchers proposed a BCG-based novel innovation classification model. We use KeyGraph algorithms to find the rare keyvalue and the inverse cluster frequency algorithm proposed by this study to conduct two-objective decision analysis. Then, we use the Boston consulting group model to classify keyvalue and inverse cluster frequency`s value in which we get the early innovative value. Finally, we used the innovative value to test college freshmen to see the difference between before and after the college freshmen accepted the innovative value. The results show that 59% of the college freshmen perceive the usefulness of the new product, which demonstrates a significant progress. This is to justify that the model proposed by this study can be of help to mine the rare and valuable information early and effectively.
Relation:	International Journal of Intelligent Information and Database Systems, 9(3/4), 269-288
Data Type:	article
DOI link:	http://dx.doi.org/10.1504/IJIIDS.2016.081601
DOI:	10.1504/IJIIDS.2016.081601
Appears in Collections:	[Department of MIS] Periodical Articles

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML2	663	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...