• DocumentCode
    2739181
  • Title

    Business Process Reengineering project in Local Governments with ERP

  • Author

    Orosz, István ; Orosz, Tamás

  • Author_Institution
    Obudai Egyetem, Budapest, Hungary
  • fYear
    2012
  • fDate
    24-26 May 2012
  • Firstpage
    371
  • Lastpage
    376
  • Abstract
    Local Governments use several different IT methods and tools to provide services required. Chosen business processes and software products should certainly provide suitable and reliable applications for long term. Nevertheless, due to the sudden change and improvement of IT Technology, some solutions become obsolete and those should be replaced sooner or later. However, as sustainability is requested in Local Governments, such changes have to be handled carefully. A new Business Process Reengineering, BPR, methodology is being built to support Local Governments-specific IT change and technology management. This paper introduces our methodology applied to an initial Dynamics AX business process implementation project. A mini- Dynamics AX project is defined to complete the so-called Business BluePrint phase of Dynamics AX Methodology. This approach is found to be suitable to support the Local Governments BPR project.
  • Keywords
    business data processing; business process re-engineering; enterprise resource planning; local government; BPR methodology; Dynamics AX business process implementation project; ERP system; IT methods; IT tools; business BluePrint phase; business process re-engineering project; enterprise resource planning; local government BPR project; miniDynamics AX project; software products; Benchmark testing; Companies; Dynamic scheduling; Government; BPR; DYNAMICS AX; ERP; Local Government; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Intelligence and Informatics (SACI), 2012 7th IEEE International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-1-4673-1013-0
  • Electronic_ISBN
    978-1-4673-1012-3
  • Type

    conf

  • DOI
    10.1109/SACI.2012.6250032
  • Filename
    6250032