TY  - JOUR
T1  - Predicting Cloud Computing Adoption in Hospitals Using Regression Analysis
AU - Bhuyan, Sambit AU - Dash, Manoranjan 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 6
SP  - 1436
EP  - 1441
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.1436.1441
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.1436.1441
KW  - Cloud computing
KW  -TOE framework
KW  -awareness
KW  -findings
KW  -managers
KW  -regression
AB  - Cloud computing are a new archetype move and many researchers are attempting to find out the
factors affecting the cloud computing adoption in hospitals. This research aims to provide insights into the
factors and the barriers that are expected to influence the adoption of cloud computing in hospitals. The primary
data were collected by in-depth interviews with IT departments of different hospitals in India. The collected data
was tested using multiple regression analysis. The Technology Organization and Environment (TOE) framework
was considered for this study. The findings indicated that all the factors has a significant positive impact on
the intention of hospitals to adopt cloud computing. The findings are expected to assist managers to evaluate
possible adoption and increase their awareness about issues that influence the cloud adoption when planning
to adopt it.
ER  -