Towards big data: data sharing perception in the Malaysian built environment sector

Abstract

There is a significant adoption rate of technology in the built environment (BE) sector to counteract the disruption caused by the pandemic. Globally, data sharing is recognized as an important precursor to the advancement of various technologies in the sector, such as big data. Various studies suggest quality and proactive decision-making, cost management efficiency, and time and productivity improvement are among the potential benefits of data sharing. However, the BE sector faces critical challenges in sharing data particularly, across diverse construction organizations. This, this study aims to determine the key data sharing challenges among BE stakeholders in Malaysia. Using the Principal Component Analysis (PCA), which includes the Kaiser-Mayer-Olkin (KMO) and Bartlett's Tests, findings identify four key data sharing challenges. The key challenges of data sharing are organization's interest and data management, data privacy and security, investments and incentives, and technology and data sourcing. This study concludes the criticality of an in-place data sharing mechanism to cater to the specific needs of the BE sector. The data sharing mechanism is viewed as a push factor toward creating a safe and effective data sharing environment. Consequently, this study aligns with the National Construction Policy 2030 (NCP 2030) and 2030 Agenda for Sustainable Development in embracing new technology, digitalizing processes, and building sustainable economic growth.