Organisational Sustainability Modelling for Return on Investment: Case Studies presented by a National Health Service (NHS) Trust UK


Chang, Victor, De Roure, David, Walters, Robert John and Wills, Gary (2011) Organisational Sustainability Modelling for Return on Investment: Case Studies presented by a National Health Service (NHS) Trust UK. Journal of Computing and Information Technology, 19, (3)

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Description/Abstract

Organisational Sustainability Modelling is a new way to measure Cloud business performance quantitatively and accurately. It combines statistical computation and 3D Visualisation to present the Return on Investment arising from the adoption of Cloud Computing by organisations. The Cloud Return On Investment methodology described in this paper makes use of a highly structured and organised process to review and evaluate Cloud business performance. We illustrate its use with two case studies. The first case study concerns a National Health Service (NHS) Trust UK Infrastructure and confirms that using Cloud infrastructures can improve efficiency. It also results in raising benchmark, the minimum acceptance level to complete concurrent tasks. The second case study shows 3D Visualisation being used to confirm incremental improvements to an NHS Bioinformatics project. The low risk-free rate may imply code development allows reduced time to complete, and objective is clearly met and project delivery is straightforward. We introduce a structured Quality Assurance process, and demonstrate how to ensure the quality of our data analysis, which other researchers miss out.

Item Type: Article
ISSNs: 1330113618463908
Alternative titles: (It was published in 2011. A very minor changs right before 2012).
Keywords: Cloud Computing; Cloud Computing Business Framework; Organisational Sustainability Modelling; 3D Visualisation; Cloud Challenges in Business context; Return of Investment (ROI); Quality Assurance for ROI and National Health Service (NHS) Trust UK Cloud case studies.
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Electronic & Software Systems
ePrint ID: 272037
Date Deposited: 16 Feb 2011 22:13
Last Modified: 27 Mar 2014 20:17
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/272037

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