1. NCCU Academic Hub
  2. 學術產出
  3. College of Commerce
  4. Proceedings
  5. Item

學術產出-Proceedings

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

題名 The framework of discovery early adopters’ incipient innovative ideas
作者 林木花
林我聰
Hong, Chao Fu
Lin, Mu Hua
Lin, Woo Tsong
貢獻者 資管系
關鍵詞 Database systems; Internet; Association analysis; Business service; Business success; Chance discovery; Innovation diffusion; Innovative ideas; Social influence; Term Frequency; Inverse problems
日期 2016
上傳時間 1-Sep-2017 10:06:10 (UTC+8)
摘要 Crossing the chasm between early adopters and early majority in the market is not only an important issue for innovation diffusion, but also important information for firms to have the chance to occupy position and get great business success. Additionally, consumers can easily share their consumer-related articles through various IT blogs with Web 2.0, hence there is a big consuming data on the Internet. This research tried to discover incipient innovative ideas from early adopters to help firms to win the business. A new textual association analysis (Term Frequency - Inverse Clusters Frequency, TF-ICF) framework is a methodology to discover the more rare and useful ideas for designing future innovative business service. In the present study, TF-ICF methodology does not only find what instant foods or entertainment are needed for the passengers on travelling vehicles, but also reveal that the moisturizing emulation is another possible need of theirs. The results show that the TF-ICF method is useful to discover early adopters’ incipient innovative ideas.
關聯 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9622, 319-327
資料類型 conference
DOI http://dx.doi.org/10.1007/978-3-662-49390-8_31
dc.contributor 資管系
dc.creator (作者) 林木花zh_TW
dc.creator (作者) 林我聰zh_TW
dc.creator (作者) Hong, Chao Fuen_US
dc.creator (作者) Lin, Mu Huaen_US
dc.creator (作者) Lin, Woo Tsongen_US
dc.date (日期) 2016
dc.date.accessioned 1-Sep-2017 10:06:10 (UTC+8)-
dc.date.available 1-Sep-2017 10:06:10 (UTC+8)-
dc.date.issued (上傳時間) 1-Sep-2017 10:06:10 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/112485-
dc.description.abstract (摘要) Crossing the chasm between early adopters and early majority in the market is not only an important issue for innovation diffusion, but also important information for firms to have the chance to occupy position and get great business success. Additionally, consumers can easily share their consumer-related articles through various IT blogs with Web 2.0, hence there is a big consuming data on the Internet. This research tried to discover incipient innovative ideas from early adopters to help firms to win the business. A new textual association analysis (Term Frequency - Inverse Clusters Frequency, TF-ICF) framework is a methodology to discover the more rare and useful ideas for designing future innovative business service. In the present study, TF-ICF methodology does not only find what instant foods or entertainment are needed for the passengers on travelling vehicles, but also reveal that the moisturizing emulation is another possible need of theirs. The results show that the TF-ICF method is useful to discover early adopters’ incipient innovative ideas.
dc.format.extent 70684263 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9622, 319-327en_US
dc.subject (關鍵詞) Database systems; Internet; Association analysis; Business service; Business success; Chance discovery; Innovation diffusion; Innovative ideas; Social influence; Term Frequency; Inverse problems
dc.title (題名) The framework of discovery early adopters’ incipient innovative ideasen_US
dc.type (資料類型) conference
dc.identifier.doi (DOI) 10.1007/978-3-662-49390-8_31
dc.doi.uri (DOI) http://dx.doi.org/10.1007/978-3-662-49390-8_31