Modeling the Acceptance and Use of Telecenters in Brazil

Abstract

This article describes the modeling of factors that affect the adoption and use of Information and Communication Technologies (ICT) in Telecenters context. For such, some conceptual dimensions are used, such as a potential demand model (PDM), which aims at characterizing processes that determine the technological acceptance, and an acceptance dynamics model (ADM). Together, PDM and ADM constitute a simulation combined model based on agents that allow the analysis of the effect of different aspects related to Telecenters and the users’s individual profile, according to the target audience behavior. This modeling approach intends to constitute an analysis tool that is able to help formulate digital inclusion public policies.This article describes the modeling of factors that affect the adoption and use of Information and Communication Technologies (ICT) in Telecenters context. For such, some conceptual dimensions are used, such as a potential demand model (PDM), which aims at characterizing processes that determine the technological acceptance, and an acceptance dynamics model (ADM). Together, PDM and ADM constitute a simulation combined model based on agents that allow the analysis of the effect of different aspects related to Telecenters and the users’s individual profile, according to the target audience behavior. This modeling approach intends to constitute an analysis tool that is able to help formulate digital inclusion public policies.This article describes the modeling of factors that affect the adoption and use of Information and Communication Technologies (ICT) in Telecenters context. For such, some conceptual dimensions are used, such as a potential demand model (PDM), which aims at characterizing processes that determine the technological acceptance, and an acceptance dynamics model (ADM). Together, PDM and ADM constitute a simulation combined model based on agents that allow the analysis of the effect of different aspects related to Telecenters and the users’s individual profile, according to the target audience behavior. This modeling approach intends to constitute an analysis tool that is able to help formulate digital inclusion public policies