An exploration of the determinants for decision to migrate existing resources to cloud computing using an integrated TOE-DOI model

• Published in: Journal of cloud computing : advances, systems and applications systems and applications, 2017-01, Vol.6 (1), p.1-20, Article 2
• Main Authors: Alkhalil, Adel, Sahandi, Reza, John, David
• Format: Article
• Language: English
• Subjects: Cloud computing; Clouds; Complexity; Computer Communication Networks; Computer Science; Computer System Implementation; Computer Systems Organization and Communication Networks; Decision making; Determinants; Impact analysis; Information Systems Applications (incl.Internet); Mathematical models; Migration; Quantitative analysis; Software Engineering/Programming and Operating Systems; Special Purpose and Application-Based Systems; Technological planning
• ISSN: 2192-113X; 2192-113X
• DOI: 10.1186/s13677-016-0072-x

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.