• DocumentCode
    459968
  • Title

    Analyzing Corporate Innovation using the Data Surface Mining Technique

  • Author

    Berg, Daniel ; Einspruch, Norman G.

  • Author_Institution
    Rensselaer Polytech. Inst., Troy, NY
  • Volume
    1
  • fYear
    2006
  • fDate
    21-23 June 2006
  • Firstpage
    166
  • Lastpage
    170
  • Abstract
    Corporate innovation is the subject of several recent articles in the business press. FORTUNE and BusinessWeek have identified world-wide innovative companies, breakout companies, companies that focus on "the search for tomorrow" and companies to watch. Using a technique called "data surface mining" (DSM), the previously published data on these four topics were further analyzed to characterize the similarities and differences between the goods and service sectors; the results of these analyses are presented. In addition, the issues of technology management especially relevant to the service sector are presented. These issues are of critical importance in light of the fact that the service sector represents 80% (GDP and/or employment) of the United States economy and are of increasing importance in the global economy. It is also important to note that technology management in the service sector has not to date been given proportionate attention in the academic literature
  • Keywords
    business data processing; data mining; innovation management; service industries; technology management; business press; corporate innovation; data surface mining technique; service sector; technology management; Business; Companies; Costs; Data mining; Economic indicators; Employment; Manufacturing; Productivity; Technological innovation; Technology management; Innovation; goods sector; service sector; technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Innovation and Technology, 2006 IEEE International Conference on
  • Conference_Location
    Singapore, China
  • Print_ISBN
    1-4244-0147-X
  • Electronic_ISBN
    1-4244-0148-8
  • Type

    conf

  • DOI
    10.1109/ICMIT.2006.262256
  • Filename
    4035816