Predicting technology adoption to improve research priority?setting

Predicting Collaboration Technology Use: Integrating Technology Adoption and Collaboration Research

the paper presents a model integrating theories from collaboration research (i.e., social presence theory, channel expansion theory, and the task closure model) with a recent theory from technology adoption research (i.e., unified theory of acceptance and use of technology, abbreviated to utaut) to explain the adoption and use of collaboration technology. we theorize that collaboration technolo...

Use of Adoption Technology Model to Predicting E-Learning Intention Perform among Faculty Members

Background: E-Learning could increase efficiency teaching process and higher quality of education. The aim of this study was to determine the factors related to eLearning intention based on the Adoption Technology Model (ATM). Methods: This cross-sectional study, conducted among 150 faculty members of Kermanshah University of medical science. Participants were randomly selected to participate v...

HIV research: enhancing engagement to improve ethics

use of adoption technology model to predicting e-learning intention perform among faculty members

background: e-learning could increase efficiency teaching process and higher quality of education. the aim of this study was to determine the factors related to elearning intention based on the adoption technology model (atm). methods: this cross-sectional study, conducted among 150 faculty members of kermanshah university of medical science. participants were randomly selected to participate v...

Predicting Public Bicycle Adoption Using the Technology Acceptance Model

Bicycle sharing programs provide a sustainable mode of urban transportation. Although cities across the globe have developed these systems for their citizens and visitors, usage rates are not as high as anticipated. This research uses the technology acceptance model as the basis to understand one’s intention to adopt bicycle sharing programs. Using survey data derived from 421 participants in B...