Journal of International Technology and Information Management
Document Type
Article
Abstract
Currently many companies are adopting cloud computing to accomplish their diverse purposes and to create an elastic and responsive environment that can rapidly respond to new business requirements. This paper attempts to investigate the factors influencing cloud computing adoption from the managerial perspective with inclusion of size of firm, organizational structure and type of industry as control variables. The model is developed with various technological, economic and cognitive factors that affect the behavioral intention to use cloud computing using technology acceptance model (TAM).Questionnaires were randomly distributed to around 1000 senior managers of various firms in India. Hierarchical multiple regression (HMR) was performed to test the impact of control variables on the factors that influence managerial intention to adopt cloud computing. The result showed that all the independent variables (perceived usefulness, perceived ease of use, perceived risks, perceived benefits, perceived ubiquity, perceived costs and job relevance) explain additional 32.3% of variance in intention to use cloud computing. Based on standardized beta coefficients (β) values, the result showed that the impact of firm size is found highest among other control variables in explaining the amount of variability in behavioral intention to use cloud computing. The result of this study will enable the firms to focus on managerial perspectives of cloud-based applications and their attitude towards adoption.
Recommended Citation
Tripathi, Shailja
(2019)
"Determinants of Cloud Computing Intentions to Use: Role of Firm’s Size, Managerial Structure and Industrial Sector,"
Journal of International Technology and Information Management: Vol. 28:
Iss.
2, Article 3.
DOI: https://doi.org/10.58729/1941-6679.1405
Available at:
https://scholarworks.lib.csusb.edu/jitim/vol28/iss2/3
Included in
Business Analytics Commons, Management Information Systems Commons, Management Sciences and Quantitative Methods Commons, Technology and Innovation Commons