• DocumentCode
    479159
  • Title

    Survival Analysis on Information Technology Adoption of Chinese Enterprises

  • Author

    Yu, Cuiling ; Bi, Xinhua

  • Author_Institution
    Sch. of Manage., Jilin Univ., Changchun
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper takes three typical information systems (financial system, office automatic system, and enterprise resource planning system) as examples to study information technology (IT) adoption of Chinese enterprises by means of survival analysis. The dimension of time and dynamic characteristic of IT adoption are highly emphasized in this paper. The method of Kaplan-Meier analysis is used to compare the difference of survival time of IT adoption for heterogeneous enterprises, and the resulting survival functions reflect the adoption proportion at a particular time. Then Cox regression model is used to examine the impact of enterprise characteristics on IT adoption. The results demonstrate that their impact varies with the target technology. Further, this study indicates the direction and significance of the impact of enterprise characteristics on the three technologies respectively.
  • Keywords
    enterprise resource planning; financial data processing; information systems; office automation; regression analysis; Chinese enterprises; enterprise resource planning system; financial system; information systems; information technology adoption; office automatic system; regression model; survival analysis; Bismuth; Construction industry; Enterprise resource planning; History; Industrial relations; Information analysis; Information systems; Information technology; Management information systems; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.2796
  • Filename
    4680985