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 the grid technology has not materialized, while increasingly the cloud technology is becoming popular. In this book, the technology acceptance models were successfully tested and used to understand the factors that affect the acceptance or rejection of innovative grids and clouds. Using the online survey engine - Survey Monkey, data were collected from individuals (242 respondents) in schools, businesses and government in USA. The multiple regression technique was used to determine the relationship between the intent to adopt grids and these behavioral factors: perceived usefulness, perceived ease of use, attitude (competition from cloud computing technology) and trust (security). The research established a valuable model to predict acceptance or rejection of grids and clouds. The work sheds some light on the influential technology acceptance factors affecting grid and cloud technology, and should be especially useful to professionals in business, information technology and computer science.