Adoption of Grid and Cloud Computing Technology: A Technology Acceptance Model - Couverture souple

Udoh, Emmanuel

 
9783639272635: Adoption of Grid and Cloud Computing Technology: A Technology Acceptance Model

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

Emmanuel Udoh is a professor of computer science at the Indiana Institute of Technology, USA. He received his PHD degree in Information Technology with MBA background from Capella University, USA. Moreover, he is also a PHD holder in Geo-sciences from the University of Erlangen, Germany.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.