Abstract:
The adoption of electronic incident reporting system (E-IRS) has immense potential to
overcome barriers inhibiting effective reporting of incidents in the construction industry.
The successful implementation of E-IRS requires a rigorous understanding of system
adoption and the factors that may encourage its usage. This research examined the barriers
that inhibit the effective reporting of incidents along with the determinants influencing
the use of electronic incident reporting systems in the construction industry. The
Technology Acceptance Model (TAM) is further extended in the study by integrating
social influence, facilitating conditions, trust, and technological self-efficacy as external
variables. The proposed model was trialed through the Partial Least Squares-Structural
Equation Modeling technique by utilizing empirical data collected from 136 respondents
associated with the construction industry. The study findings indicated that trust and
perceived ease-of-use were key drivers that govern the acceptance behavior of E-IRS.
Moreover, facilitating conditions and technological self-efficacy had a significant
positive effect on perceived ease-of-use; while, social influence was found to have a
meaningful impact on trust. This study further reinforces the applicability of the TAM
coupled with four external variables in forecasting the utility of E-IRS in the construction
industry and provided a roadmap for a better understanding of decisive factors affecting
at large. In addition, its practical implications were also discussed aiming to step towards
digitalization.