A Data-centric Approach to Change Management

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publication2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC)
PublisherIEEE
Pages185-190
ISBN (Electronic)978-1-4673-9203-7
DOIs
Publication statusPublished - 9 Nov 2015
Event2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC) - Adelaide, Australia
Duration: 21 Sep 201525 Sep 2015

Publication series

Name2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC)
PublisherIEEE
ISSN (Print)1541-7719

Conference

Conference2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC)
Period21/09/1525/09/15

Fingerprint

Change management
Agility
Industry
Management process
Operational efficiency
An enterprise
Management strategy
Management decisions

Cite this

Clark, T., Nwokeji, J. C., Barn, B., Kulkarni, V., & Anum, S. O. (2015). A Data-centric Approach to Change Management. In 2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC) (pp. 185-190). (2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC)). IEEE. https://doi.org/10.1109/EDOC.2015.34
Clark, Tony ; Nwokeji, Joshua Chibuike ; Barn, Balbir ; Kulkarni, Vinay ; Anum, Sheena O. / A Data-centric Approach to Change Management. 2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC). IEEE, 2015. pp. 185-190 (2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC)).
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Clark, T, Nwokeji, JC, Barn, B, Kulkarni, V & Anum, SO 2015, A Data-centric Approach to Change Management. in 2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC). 2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC), IEEE, pp. 185-190, 2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC), 21/09/15. https://doi.org/10.1109/EDOC.2015.34

A Data-centric Approach to Change Management. / Clark, Tony; Nwokeji, Joshua Chibuike; Barn, Balbir; Kulkarni, Vinay; Anum, Sheena O.

2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC). IEEE, 2015. p. 185-190 (2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Clark T, Nwokeji JC, Barn B, Kulkarni V, Anum SO. A Data-centric Approach to Change Management. In 2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC). IEEE. 2015. p. 185-190. (2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC)). https://doi.org/10.1109/EDOC.2015.34