Innovative chance discovery for finding innovative useful idea in travelling. (2016)

• Record Type: Journal Article
• Authors: Lin, Mu-Hua; Hong, Chao-Fu; Lin, Woo-Tsong
• Is Part Of: International journal of intelligent information and database systems. Volume 9:Number 3/4(2016)
• Page Start: 269
• Page End: 288
• Publication Date: 2016
• Subjects: multi-objective decision analysis -- innovative values -- innovative screening -- lead users -- transformation function -- chance discovery -- useful ideas -- travelling -- innovation classification -- innovative clustering -- early adopters -- technology acceptance model -- TAM -- Taiwan -- new product development -- NPD -- product innovation -- travel blogs; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

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.