• DocumentCode
    115660
  • Title

    Mining innovation opportunities for handheld device cases using the fuzzy next method

  • Author

    Chih-Hung Hsieh ; Yu-Han Chen ; Yung-Chin Wu

  • Author_Institution
    Coll. of Manage., Yuan-Ze Univ., Chungli, Taiwan
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    964
  • Lastpage
    972
  • Abstract
    Many handheld devices, such as the smartphone and tablet, have become vital to many people´s daily lives. Thus, identifying innovation opportunities for these handheld devices is important for academics and practitioners alike. In this study, we proposed a novel method - the Fuzzy NeXT method -for measuring the gaps between users´ demands and technological availabilities, as well as possible ways to fill these gaps. To this end, we performed a literature review to identify criteria systems. Then, we evaluated current available products by assessing customer needs and core technologies. Finally we conducted a panel discussion to propose strategies to fill these gaps. The results showed that the Fuzzy NeXT method not only precisely measured the gaps between user demands and technological availabilities, but also stimulated participation and interaction between suppliers and customers. We postulated that this method may trigger additional co-innovation activities and can be useful for many applications, such as corporate foresight and service foresight.
  • Keywords
    data mining; fuzzy set theory; innovation management; notebook computers; co-innovation activities; core technologies; corporate foresight; criteria systems; customer needs assessment; fuzzy NeXT method; handheld devices; innovation opportunity mining; service foresight; smartphone; tablet; technological availabilities; user demands; Handheld computers; Market research; Pragmatics; Software; Technological innovation; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Engineering & Technology (PICMET), 2014 Portland International Conference on
  • Conference_Location
    Kanazawa
  • Type

    conf

  • Filename
    6921232