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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.<\/p>","DOI":"10.4018\/jghpc.2012010101","type":"journal-article","created":{"date-parts":[[2012,4,3]],"date-time":"2012-04-03T15:24:59Z","timestamp":1333466699000},"page":"1-20","source":"Crossref","is-referenced-by-count":3,"title":["Technology Acceptance Model Applied to the Adoption of Grid and Cloud Technology"],"prefix":"10.4018","volume":"4","author":[{"given":"Emmanuel","family":"Udoh","sequence":"first","affiliation":[{"name":"Sullivan University, USA"}]}],"member":"2432","reference":[{"key":"jghpc.2012010101-0","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-006-3845-z"},{"key":"jghpc.2012010101-1","doi-asserted-by":"crossref","first-page":"244","DOI":"10.17705\/1jais.00122","article-title":"The legacy of the technology acceptance model and a proposal for a paradigm shift.","volume":"8","author":"R. 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