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首页> 外文期刊>Journal of Cloud Computing: Advances, Systems and Applications >An exploration of the determinants for decision to migrate existing resources to cloud computing using an integrated TOE-DOI model
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An exploration of the determinants for decision to migrate existing resources to cloud computing using an integrated TOE-DOI model

机译：探索使用集成的TOE-DOI模型将现有资源迁移到云计算的决定因素

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摘要

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.
机译：将现有资源迁移到云计算是一项非常困难的战略性组织决策。它需要考虑和评估广泛的技术和组织方面。尽管许多工业家和学者已经在关注迁移决策方面投入了大量精力，但该程序仍然很困难。这主要是由于低估了影响云迁移决策的因素和特征的范围。需要进一步研究以研究这些因素对迁移决策和整体复杂性的影响程度。本文旨在探讨迁移云的决策的复杂程度。建立了基于创新扩散理论（DOI）和技术－组织－环境（TOE）框架的研究模型。使用探索性和确认性因子分析对模型进行了测试。定量分析显示了已识别变量对迁移决策的影响程度。确定了有助于决策复杂性的七个决定因素。需要考虑它们以确保成功迁移。该结果扩大了有关决策迁移到云时必须考虑的问题复杂性的集体知识。它为解决迁移到云的复杂性和多维性的文献做出了贡献。

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