Key drivers for Big Data adoption in the Dominican Republic construction industry: an empirical study

Construction methods have barely changed since the last industrial revolution, but new project requirements are subject to change every day. Including sustainability and new technologies that produce user and environmentally-friendly projects are now requirements in almost every country. Big Data (BD) is mainly characterised by improving the decision-making process through data analysis. Adopting BD in the construction industry is expected to positively impact efficiency in design and construction activities. However, it requires a change in the industry’s culture and the adoption of digital approaches to be fully implemented. This paper addresses the key drivers for the adoption of BD in the construction industry of the Dominican Republic. Qualitative research was implemented to explore the topic due to the scarce information available. Twenty-one semi-structured interviews were analysed using thematic analysis. In some cases, the participants provided their point of view based on their experience with similar technologies such as BIM and IoT. The data analysis identified nine critical drivers, classified as internal and external. The internal drivers are knowledge of BD benefits to the organisation, impact on competitiveness, technology awareness, solution to company needs, organisation’s technology-driven culture and client requirements. Similarly, the internal drivers are industry motivation, regulatory framework, and technology change adaptability. This paper sheds light on the motivations behind adopting BD and helps to understand the industry’s needs. It also delivers evidence on the need for improved training for present and future professionals focused on developing digital skills.