• DocumentCode
    1224091
  • Title

    Gender and age differences in employee decisions about new technology: an extension to the theory of planned behavior

  • Author

    Morris, Michael G. ; Venkatesh, Viswanath ; Ackerman, Phillip L.

  • Author_Institution
    McIntire Sch. of Commerce, Univ. of Virginia, Charlottesville, VA, USA
  • Volume
    52
  • Issue
    1
  • fYear
    2005
  • Firstpage
    69
  • Lastpage
    84
  • Abstract
    This research extends the theory of planned behavior by incorporating gender and age as moderators of user perceptions and individual adoption and sustained use of technology in the workplace. Individual reactions and technology use behavior were studied over a six-month period among 342 workers being introduced to a new software technology application. While previous studies in the literature have reported gender or age differences separately, the pattern of results from the study reported here indicated that gender effects in individual adoption and use of technology differed based on age. Specifically, gender differences in technology perceptions became more pronounced among older workers, but a unisex pattern of results emerged among younger workers. The theory and empirical results are also discussed in relation to the widely employed technology acceptance model. The results from this study suggest that old stereotypes that portray "technology" as a male-oriented domain may be disappearing; particularly among younger workers. In light of these findings, theoretical implications for researchers and practical suggestions for managers are discussed.
  • Keywords
    computer literacy; gender issues; personnel; age differences; empirical results; employee decisions; gender differences; gender effects; male-oriented domain; planned behavior theory; software technology application; technology acceptance; technology perceptions; unisex pattern; younger workers; Application software; Business; Employment; Information analysis; Information technology; Investments; Pervasive computing; Psychology; Technology management; US Department of Commerce;
  • fLanguage
    English
  • Journal_Title
    Engineering Management, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9391
  • Type

    jour

  • DOI
    10.1109/TEM.2004.839967
  • Filename
    1388699