• DocumentCode
    3582076
  • Title

    Antecedent factors to end-users´ symbolic acceptance of enterprise systems: An analysis in Nigerian organizations

  • Author

    Arekete, Samson ; Akinnuwesi, Boluwaji Ade ; Ifinedo, Princely

  • Author_Institution
    Dept. of Comput. Sci., Redeemer´s Univ., Ede, Nigeria
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    End-user acceptance of information systems (IS), including enterprise systems (ES) is critically important for the success or effectiveness of such technologies for adopting organizations. While prior research has focused on such issues in the developed West, very little is known about workers´ perceptions of ES acceptance or adoption in the developing world. This study was designed to add to the growing body of work in the area by using empirical data collected in Nigeria. We employed symbolic acceptance to enrich insight instead of usage adoption, which is commonly used in the literature. We drew from relevant theoretical frameworks in developing the research model, which was tested with data collected from a survey. Using the partial least square technique (PLS) for data analysis, support was found for the five hypotheses formulated herein. Namely, performance and effort expectancies, social influence, facilitating conditions, and attitude toward ES were found to have significant, positive impacts on ES symbolic acceptance. The implications of the study findings for both research and practice are discussed, and conclusions are drawn.
  • Keywords
    information systems; least squares approximations; social aspects of automation; ES acceptance; ES adoption; IS acceptance; Nigerian organization; PLS; antecedent factor; data analysis; end-user symbolic acceptance; enterprise system; information system; partial least square technique; usage adoption; Africa; Context; Customer relationship management; Organizations; Reliability; Software; IS adoption; Nigeria; PLS; end-user; enterprise systems; survey; symbolic acceptance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Adaptive Science & Technology (ICAST), 2014 IEEE 6th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICASTECH.2014.7068108
  • Filename
    7068108