Understanding technology acceptance: Phase 2 – Identifying and validating the metrics & preliminary testing of a quantitative model

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dc.contributor.author Van Ittersum, Koert en_US
dc.contributor.author Rogers, Wendy A. en_US
dc.contributor.author Capar, Muge en_US
dc.contributor.author Park, Sung en_US
dc.contributor.author O’Brien, Marita A. en_US
dc.contributor.author Caine, Kelly E. en_US
dc.contributor.author Parsons, Leonard J. en_US
dc.contributor.author Fisk, Arthur D. en_US
dc.date.accessioned 2011-08-11T19:46:06Z
dc.date.available 2011-08-11T19:46:06Z
dc.date.issued 2006-12
dc.identifier.other HFA-TR-0604
dc.identifier.uri http://hdl.handle.net/1853/40578
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries HFA Technical Report ; HFA-TR-0604
dc.subject Technology acceptance en_US
dc.subject Metrics en_US
dc.subject Quantitative models en_US
dc.title Understanding technology acceptance: Phase 2 – Identifying and validating the metrics & preliminary testing of a quantitative model en_US
dc.type Technical Report en_US
dc.contributor.corporatename Georgia Institute of Technology. College of Management en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Psychology en_US
dc.contributor.corporatename Georgia Institute of Technology. Human Factors and Aging Laboratory en_US


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