Saqib, G; Hassan, M U; Zubair, M U and Choudhry, R M (2023) Investigating the acceptance of an electronic incident reporting system in the construction industry: An application of the technology acceptance model. Journal of Construction Engineering and Management, 149(5), ISSN 0733-9364
Abstract
Incident reporting has drawn the attention of safety experts in the construction industry to reduce the likelihood of future hazards by learning from previous events. A number of barriers have been identified that inhibit the effective reporting of safety incidents. Adopting an electronic incident reporting system (E-IRS) has immense potential to overcome these barriers and enhance incident reporting frequency in the construction industry. Nonetheless, the successful implementation of E-IRS requires an in-depth understanding of users' acceptance of the system and the factors influencing its usage. This research employed a cross-sectional design based on the technology acceptance model (TAM) to quantitatively examine the factors influencing the adoption of E-IRS in the construction industry of developing countries. Data were collected using an online questionnaire survey to test the 11 hypothesized relationships. A total of 128 completed responses are retrieved and the results are analyzed using partial least squares-structural equation modeling. The findings indicate that perceived ease of use and trust are critical determinants that influence the acceptance behavior of E-IRS. Facilitating conditions and technological self-efficacy have a significant positive effect on perceived ease of use. In addition, social influence is found to have a significant impact on trust. The outcomes of this study provide a theoretical basis for all the concerned stakeholders to take effective measures to encourage the use of E-IRS in the construction industry, thereby reducing the likelihood of construction-related incidents.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | electronic incident reporting system; partial least squares-structural equation modeling; safety; technology acceptance model |
Date Deposited: | 11 Apr 2025 19:50 |
Last Modified: | 11 Apr 2025 19:50 |