• DocumentCode
    1800198
  • Title

    Structural model for the interactive effects in ERP systems usage

  • Author

    Kalema, Billy Mathias

  • Author_Institution
    Dept. of Inf., Tshwane Univ. of Technol., Pretoria, South Africa
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    345
  • Lastpage
    350
  • Abstract
    After years of continued failures of enterprise resource planning systems (ERPs) organizations´ executives should start thinking of some other facets that could lead to successful implementations. The goal of this study is to report on role of non-technical aspects of ERPs users those organizations, developers and vendors, system integrators and consultants have paying little attention. This study sought to provide a systematic analysis of the interacting effects of demographics and situational variables of ERPs. The interacting effects of five demographic and situational variables; age, gender, level of education, experience with web-based tools and first interaction with the system were tested using multi-group analysis, measurement invariance approach and confirmatory factor analysis. Results indicated that users´ level of education has higher significant interacting effects whereas gender has no significant effect on ERPs usage. This study highlights the key role of interacting effects in ERPs usage. It also shed light on how organizations can mitigate ERPs failures beyond technological aspects. The contribution of the study from the; theoretical, methodological and practical perspectives are also discussed.
  • Keywords
    Internet; enterprise resource planning; organisational aspects; ERP systems usage; Web-based tools; confirmatory factor analysis; continued failures; demographics; enterprise resource planning systems; interactive effects; measurement invariance approach; nontechnical aspects; organizations executives; situational variables; structural model; Bismuth; Load modeling; Loading; Organizations; Training; ERP success factors; ERPs usage; Interacting effects; Measurement invariance; Moderating factors; Multiple-group analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technology, Informatics, Management, Engineering, and Environment (TIME-E), 2014 2nd International Conference on
  • Conference_Location
    Bandung
  • Print_ISBN
    978-1-4799-4806-2
  • Type

    conf

  • DOI
    10.1109/TIME-E.2014.7011644
  • Filename
    7011644