• DocumentCode
    3686444
  • Title

    A Data-centric Approach to Change Management

  • Author

    Joshua Chibuike Nwokeji;Tony Clark;Balbir Barn;Vinay Kulkarni;Sheena O. Anum

  • Author_Institution
    Comput. Sci. Dept., Middlesex Univ., London, UK
  • fYear
    2015
  • Firstpage
    185
  • Lastpage
    190
  • Abstract
    Enterprise agility, generally defined as the ability of an enterprise to detect and respond to changes timely and effectively, is a core imperative for effective change management and optimal performance in contemporary enterprises. It can improve operational efficiency, and enhance competitive ability. At the same time, it is elusive, challenging, and difficult to achieve. A data centric approach can support change management process by providing an avenue to capture, store, and manage information, activities, and knowledge relating to changes. In addition, it can provide an avenue for re-using previous (successful) change management strategies to adapt to similar changes in the future. In this paper, we examine change management concepts and requirements, integrate them into a conceptual data model. To demonstrate utility of this data model, we apply it to real world industry case study. Results show that this approach can be useful to enterprise change management by providing information and intelligence to support change management decisions.
  • Keywords
    "Stakeholders","Data models","Organizations","Database systems","Database languages"
  • Publisher
    ieee
  • Conference_Titel
    Enterprise Distributed Object Computing Conference (EDOC), 2015 IEEE 19th International
  • ISSN
    1541-7719
  • Type

    conf

  • DOI
    10.1109/EDOC.2015.34
  • Filename
    7321171