Abstract
Cloud Computing is not the buzzword but it is a shift of IT departments to the outsourcing vendors without impacting the business efficiency. Some organizations are moving toward cloud computing but many are having a resistance in adopting cloud computing due to limitation of knowledge and awareness in classifying the elements, which affect decision for the acceptance of cloud computing. Therefore, this research paper has focused on accumulating the elements, which can act as enablers, by reviewing existing literature and study from professional and academic viewpoint. All the identified enablers have been structurally modeled to develop the relationship matrix and establish the driving power and dependence power of every element by employing Total Interpretive Structural Modeling (TISM) and Cross Impact Matrix Multiplication Applied to Classification (MICMAC) analysis.
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Chawla, N., Kumar, D. (2018). Structural Modeling of Implementation Enablers of Cloud Computing. In: Bhatia, S., Mishra, K., Tiwari, S., Singh, V. (eds) Advances in Computer and Computational Sciences. Advances in Intelligent Systems and Computing, vol 554. Springer, Singapore. https://doi.org/10.1007/978-981-10-3773-3_27
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DOI: https://doi.org/10.1007/978-981-10-3773-3_27
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