Organisational sustainability modelling—An emerging service and analytics model for evaluating Cloud Computing adoption with two case studies

Chang, Victor; Walters, Robert John; Wills, Gary

doi:10.1016/j.ijinfomgt.2015.09.001

Cited by 71 publications

(45 citation statements)

References 27 publications

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“…They have demonstrated the use of supply chain services and report that there is an overall 15% improvement in learning satisfaction. Chang et al (2016 b) then investigate further on the impact of EaaS offered to two focus groups of students receiving their supply chain Cloud lessons through interactive learning over a period of one year. The results show two interesting observations.…”

Section: University Of Cambridgementioning

confidence: 99%

Review and discussion: E-learning for academia and industry

Chang

2016

International Journal of Information Management

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171

114

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This paper presents a high level review and discussion about e-learning and proposes the use of interactive learning as a recommended method for staff training in industry and academia. Interactive learning is focused on the integrated e-learning and face-to-face learning to ensure that the process of learning can stimulate learners' interests, report their progress and have tutors to provide their feedback and guide learners to the expected targets. Learning activities and varieties have been illustrated with discussion about how industry and academia can use interactive learning. Five successful examples of interactive learning to demonstrate the effectiveness of interactive learning. Positive impacts have been reported in RBS, SMEs using SAP, University of Cambridge, University of Greenwich and Leeds Beckett University to support the positive outcomes for learners and trainers. Future directions have been discussed, particularly the use of emerging services can enhance the learning experience and satisfaction for learners and trainers.

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Section: University Of Cambridgementioning

confidence: 99%

Review and discussion: E-learning for academia and industry

Chang

2016

International Journal of Information Management

Self Cite

171

114

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“…Calculate the preference of one permutation to others based on the score function S(h) by using (4).…”

Section: A Fuzzy Multi-criteria Group Decision Making Methodsmentioning

confidence: 99%

“…This is due to (a) the involvement of multiple decision makers in evaluating the appropriateness of available Cloud services with respect to multiple, often conflicting criteria; (b) the implementation, or have a full implementation of Cloud computing. Many organizations have started building applications on the Cloud infrastructure and making their businesses agile by using flexible and elastic Cloud services [4]. Moving applications and data into the Cloud, however, is not a straightforward process.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Cloud Services: A Fuzzy Multi-Criteria Group Decision Making Method

Wibowo

Deng

2016

Algorithms

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This paper presents a fuzzy multi-criteria group decision making method for evaluating the performance of Cloud services in an uncertain environment. Intuitionistic fuzzy numbers are used to better model the subjectivity and imprecision in the performance evaluation process. An effective algorithm is developed based on the technique for order preference by similarity to the ideal solution and the Choquet integral operator for adequately solving the performance evaluation problem. An example is presented for demonstrating the applicability of the proposed method for solving the multi-criteria group decision making problem in real situations.

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“…In the architecture design, agile methods and software engineering will be implemented together with reference architecture such as OpenStack to maximize the impact. Useful algorithms are then developed to ensure security, functionality and usability to be well balanced, which can be further assisted by software defined Cloud Computing approach as demonstrated by Chang (2014 and Chang et al (2015). Cloud Testing strategies, techniques and Testing as a Service (TaaS) can be fully implemented to ensure that all services can pass vigorous tests, checks and validation.…”

Section: The Integrated Cloud Computing Adoption Framework (Ccaf) Formentioning

confidence: 99%

A resiliency framework for an enterprise cloud

Chang

Ramachandran

Yao³

et al. 2016

International Journal of Information Management

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Abstract-This paper presents a systematic approach to develop a resilient software system which can be developed as emerging services and analytics for resiliency. While using the resiliency as a good example for enterprise cloud security, all resilient characteristics should be blended together to produce greater impacts. A framework, Cloud Computing Adoption Framework (CCAF), is presented in details. CCAF has four major types of emerging services and each one has been explained in details with regard to the individual function and how each one can be integrated. CCAF is an architectural framework that blends software resilience, service components and guidelines together and provides real case studies to produce greater impacts to the organizations adopting Cloud Computing and security. CCAF provides business alignments and provides agility, efficiency and integration for business competitive edge. In order to validate user requirements and system designs, a large scale survey has been conducted with detailed analysis provided for each major question. We present our discussion and conclude that the use of CCAF framework can illustrate software resilience and security improvement for enterprise security. CCAF framework itself is validated as an emerging service for Enterprise Cloud Computing with analytics showing survey analysis.

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Organisational sustainability modelling—An emerging service and analytics model for evaluating Cloud Computing adoption with two case studies

Abstract: Cloud computing is an emerging technology which promises to bring with it great

Cited by 71 publications

References 27 publications

Review and discussion: E-learning for academia and industry

Review and discussion: E-learning for academia and industry

Evaluation of Cloud Services: A Fuzzy Multi-Criteria Group Decision Making Method

A resiliency framework for an enterprise cloud

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