BIM: a technology acceptance model in Peru
Copyright policy )BIM: a technology acceptance model in Peru
The purpose of this paper is to empirically study factors that facilitate the adoption of building information modelling (BIM) among practitioners using the unified theory of technology acceptance model (TAM). The factors identified in the TAM were examined using a quantitative approach. The empirical investigation has been conducted using a survey questionnaire. The data set has been obtained from 73 architects and engineers in Peru. Results show that Perceived Usefulness (PU) is the most important determinant of Behavioural Intention (BI), while Perceived Ease of Use (PEOU) is found to have no significant effect on BI. The findings provide an excellent backdrop in the development of policy and a roadmap for BIM implementation in Peru. The original contribution and value of the paper is the use of TAM to provide empirical evidence on factors that facilitate BIM adoption in Peru.
Social Psychology, Knowledge management, Empirical research, Usability, Social Sciences, Set (abstract data type), Management Science and Operations Research, Impact of Workspace Environment on Work Performance, Technology acceptance model, Structural equation modeling, Building Information Modeling in Construction Industry, Decision Sciences, Engineering, Value (mathematics), Peru, Machine learning, FOS: Mathematics, Psychology, BIM, Human–computer interaction, Success Factors in Project Management, Statistics, Building information modeling, AECO, Building and Construction, Computer science, Programming language, FOS: Psychology, Technology Management, Operations management, TAM, Physical Sciences, Process management, Scheduling (production processes), Mathematics
Social Psychology, Knowledge management, Empirical research, Usability, Social Sciences, Set (abstract data type), Management Science and Operations Research, Impact of Workspace Environment on Work Performance, Technology acceptance model, Structural equation modeling, Building Information Modeling in Construction Industry, Decision Sciences, Engineering, Value (mathematics), Peru, Machine learning, FOS: Mathematics, Psychology, BIM, Human–computer interaction, Success Factors in Project Management, Statistics, Building information modeling, AECO, Building and Construction, Computer science, Programming language, FOS: Psychology, Technology Management, Operations management, TAM, Physical Sciences, Process management, Scheduling (production processes), Mathematics
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).22 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!