TY - GEN
T1 - A Data-centric Approach to Change Management
AU - Clark, Tony
AU - Nwokeji, Joshua Chibuike
AU - Barn, Balbir
AU - Kulkarni, Vinay
AU - Anum, Sheena O.
PY - 2015/11/9
Y1 - 2015/11/9
N2 - 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.
AB - 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.
UR - https://ieeexplore.ieee.org/document/7321171/
U2 - 10.1109/EDOC.2015.34
DO - 10.1109/EDOC.2015.34
M3 - Conference publication
T3 - 2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC)
SP - 185
EP - 190
BT - 2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC)
PB - IEEE
T2 - 2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC)
Y2 - 21 September 2015 through 25 September 2015
ER -