Technology Acceptance Model Applied to the Adoption of Grid and Cloud Technology

Abstract

Advances in grid technology in the past two decades have enabled some organizations to harness enormous computational power on demand. However, the prediction of widespread adoption of grid technology has not materialized, while cloud technology is increasingly gaining acceptance. Using the online survey engine - Survey Monkey, data were collected from individuals (242 respondents) in schools, businesses and government in USA to determine the influential factors in the adoption process of grid and cloud technology. The multiple regression technique was used to determine the relationship between the intent to adopt grids and the behavioral factors: perceived usefulness, perceived ease of use, attitude (competition from alternative technology- clouds) and trust (security). The research established a valuable model to predict acceptance or rejection of grids or clouds. Implications for professionals in business, information technology, and computer science are discussed.