Determinants of Cloud Computing Adoption in India: An Extended Technology Acceptance Model Integrating Perceived Benefits, Risks, Costs, and Ubiquity

Abstract

The present research investigates the factors associating with the adoption rate cloud computing among employees working in the three different sectors IT services, Finance and Manufacturing located in Andhra Pradesh, India. The study applied the random sampling technique on sample size ${N} = {1 9 8}$ adopting the technology acceptance model (TAM) with its extended version prepared by (Davis et al., 1989, Venkatesh & Davis, 2000). The study adopted multi statistical approach including Regression, heatmap, SEM, dendrogram and PCA Biplot analysis. The result demonstrates a rebust model $(\mathrm{C F I}={0. 9 9 3}; \mathrm{R M S E A}={0. 0 3 2})$ high lighting factors such as perceived benefits as the primary drivers under behavioral intention while the factors such as perceived riosks and costs have been evaluated as the primary barriers for adoption intention of cloud computing technologies. The model successfully explained $60.5\%$ of behavioral intention variance with $83.4\%$ of actual usage variance. While the principal component analysis showed nuance with respect to the intention – usage gap. Highlighting even with high intention scores the usage remains heavily low with relation to the industry background. This research provides multi-dimensional approach on the adoption intention and shows how Andhra Pradesh is should shift its focus on value demonstration and risk mitigation including industry specific concerns in order to increase the effective integration of the adoption rate of cloud computing technologies in firms.