A data-centric approach to change management
Conference paper
Nwokeji, J., Clark, T., Barn, B., Kulkarni, V. and Anum, S. 2015. A data-centric approach to change management. 19th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2015. Adelaide, Australia 21 - 25 Sep 2015 IEEE. pp. 185-190 https://doi.org/10.1109/EDOC.2015.34
Type | Conference paper |
---|---|
Title | A data-centric approach to change management |
Authors | Nwokeji, J., Clark, T., Barn, B., Kulkarni, V. and Anum, S. |
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. |
Conference | 19th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2015 |
Page range | 185-190 |
Proceedings Title | 2015 IEEE 19th International Enterprise Distributed Object Computing Conference |
ISSN | 1541-7719 |
Publisher | IEEE |
Publication dates | |
21 Sep 2015 | |
Publication process dates | |
Deposited | 12 Apr 2016 |
Accepted | 19 Jun 2015 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1109/EDOC.2015.34 |
Scopus EID | 2-s2.0-84960908510 |
Web of Science identifier | WOS:000376492500024 |
Language | English |
https://repository.mdx.ac.uk/item/8637y
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