• DocumentCode
    2854472
  • Title

    A study of measuring the impact of employee perception on business-IT alignment via neural network

  • Author

    Wong, T.C. ; Ngan, Shing-Chung ; Chan, Felix T S ; Chong, Alain Y L

  • Author_Institution
    Dept. of Syst. Eng. & Eng. Manage., City Univ. of Hong Kong, Hong Kong, China
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    635
  • Lastpage
    638
  • Abstract
    In this study, an attempt has been made to investigate the connectivity strength of employee perception on the successful implementation of business-IT alignment. To be specific, we first justify and verify the connection between several employee perceptions and business-IT alignment through hypothesis testing, and then measure the relative importance of each perception onto business-IT alignment via neural network computation. Our findings suggested that perceived employee communication has the strongest relationship with business-IT alignment, followed by employee knowledge and employee trust. Specifically, employee communication and knowledge are two major perceptions that affect the success of the business-IT alignment.
  • Keywords
    business data processing; neural nets; personnel; business-IT alignment; employee knowledge; employee perception; employee trust; neural network; Companies; Data models; Educational institutions; Information technology; Knowledge engineering; Numerical models; Employee perception; business-IT alignment; neural network; relative importance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4577-0740-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2011.6117994
  • Filename
    6117994