An exploration of the determinants for decision to migrate existing resources to cloud computing using an integrated TOE-DOI model
Authors: Alkhalil, A., Sahandi, R. and John, D.
Journal: Journal of Cloud Computing
Volume: 6
Issue: 1
eISSN: 2192-113X
DOI: 10.1186/s13677-016-0072-x
Abstract:Migrating existing resources to cloud computing is a strategic organisational decision that can be difficult. It requires the consideration and evaluation of a wide range of technical and organisational aspects. Although a significant amount of attention has been paid by many industrialists and academics to aid migration decisions, the procedure remains difficult. This is mainly due to underestimation of the range of factors and characteristics affecting the decision for cloud migration. Further research is needed to investigate the level of effect these factors have on migration decisions and the overall complexity. This paper aims to explore the level of complexity of the decision to migrate the cloud. A research model based on the diffusion of innovation (DOI) theory and the technology-organization-environment (TOE) framework was developed. The model was tested using exploratory and confirmatory factor analysis. The quantitative analysis shows the level of impact of the identified variables on the decision to migrate. Seven determinants that contribute to the complexity of the decisions are identified. They need to be taken into account to ensure successful migration. This result has expanded the collective knowledge about the complexity of the issues that have to be considered when making decisions to migrate to the cloud. It contributes to the literature that addresses the complex and multidimensional nature of migrating to the cloud.
https://eprints.bournemouth.ac.uk/26043/
Source: Scopus
An exploration of the determinants for decision to migrate existing resources to cloud computing using an integrated TOE-DOI model
Authors: Alkhalil, A., Sahandi, R. and John, D.
Journal: JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS
Volume: 6
eISSN: 2192-113X
DOI: 10.1186/s13677-016-0072-x
https://eprints.bournemouth.ac.uk/26043/
Source: Web of Science (Lite)
An exploration of the determinants for decision to migrate existing resources to cloud computing using an integrated TOE-DOI model
Authors: Sahandi, M., John, D.A. and Alkhalil, A.
Journal: Journal of Cloud Computing: Advances, Systems and Applications
Publisher: SpringerOpen
ISSN: 2192-113X
Abstract:Migrating existing resources to cloud computing is a strategic organisational decision that can be difficult. It requires the consideration and evaluation of a wide range of technical and organisational aspects. Although a significant amount of attention has been paid by many industrialists and academics to aid migration decisions, the procedure remains difficult. This is mainly due to underestimation of the range of factors and characteristics affecting the decision for cloud migration. Further research is needed to investigate the level of effect these factors have on migration decisions and the overall complexity. This paper aims to explore the level of complexity of the decision to migrate the cloud. A research model based on the diffusion of innovation (DOI) theory and the technology-organization-environment (TOE) framework was developed. The model was tested using exploratory and confirmatory factor analysis. The quantitative analysis shows the level of impact of the identified variables on the decision to migrate. Seven determinants that contribute to the complexity of the decisions are identified. They need to be taken into account to ensure successful migration. This result has expanded the collective knowledge about the complexity of the issues that have to be considered when making decisions to migrate to the cloud. It contributes to the literature that addresses the complex and multidimensional nature of migrating to the cloud.
https://eprints.bournemouth.ac.uk/26043/
http://www.springer.com/gp/computer-science/
Source: Manual
An exploration of the determinants for decision to migrate existing resources to cloud computing using an integrated TOE-DOI model.
Authors: Alkhalil, A., Sahandi, R. and John, D.
Journal: J. Cloud Comput.
Volume: 6
Pages: 2
DOI: 10.1186/s13677-016-0072-x
https://eprints.bournemouth.ac.uk/26043/
Source: DBLP
An exploration of the determinants for decision to migrate existing resources to cloud computing using an integrated TOE-DOI model
Authors: Sahandi, R. and John, D.
Journal: Journal of Cloud Computing: Advances, Systems and Applications
Volume: 6
Pages: 2
ISSN: 2192-113X
Abstract:Migrating existing resources to cloud computing is a strategic organisational decision that can be difficult. It requires the consideration and evaluation of a wide range of technical and organisational aspects. Although a significant amount of attention has been paid by many industrialists and academics to aid migration decisions, the procedure remains difficult. This is mainly due to underestimation of the range of factors and characteristics affecting the decision for cloud migration. Further research is needed to investigate the level of effect these factors have on migration decisions and the overall complexity. This paper aims to explore the level of complexity of the decision to migrate the cloud. A research model based on the diffusion of innovation (DOI) theory and the technology-organization-environment (TOE) framework was developed. The model was tested using exploratory and confirmatory factor analysis. The quantitative analysis shows the level of impact of the identified variables on the decision to migrate. Seven determinants that contribute to the complexity of the decisions are identified. They need to be taken into account to ensure successful migration. This result has expanded the collective knowledge about the complexity of the issues that have to be considered when making decisions to migrate to the cloud. It contributes to the literature that addresses the complex and multidimensional nature of migrating to the cloud.
https://eprints.bournemouth.ac.uk/26043/
http://www.springer.com/computer/communication+networks/journal/13677
Source: BURO EPrints