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
Link To Document :
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