Developing a Success Model for Assessing the Impact of Wearable Sensing Devices in the Construction Industry

Abstract

In a bid to optimize jobsite safety, wearable sensing devices (WSDs) are slowly emerging as a class of viable tools with strong potential to improve safety measurement and monitoring. While some industries have successfully utilized WSDs, such as smart personal protective equipment (PPE), to track data related to health, fitness, or even location, the construction industry has been relatively slow in implementing WSDs. Although some progress is expected, construction management research is yet to provide clear evidence of the impact of WSDs on vital project and organizational performance metrics such as safety and productivity. To fill this gap, the present study established the first WSD success model using multiple complementary frameworks and theories. The success model comprises individual adoption factors that influence individual WSD use and highlights implementation success indicators needed to evaluate adoption success. It was tested using survey questionnaires retrieved from 415 users of WSDs in the United States. Test results indicate the success model was a good fit. Moreover, findings suggest a strong positive relationship between the use of WSDs and individual performance, and project performance. This hybrid model provided critical insights on the impact of WSDs on workers’ performance, project metrics, as well as essential information for supporting the increased adoption of WSDs. It is believed that this framework will also guide construction practitioners in the effective integration of WSDs into their work processes.