The Relationship Between Big Data Analytics Capabilities and Business Value in the Construction Industry

The rapid growth of digital data within the contemporary business environment has positioned big data analytics as a strategic resource for enhancing competitive advantage and business performance. While sectors such as manufacturing, supply chain, banking and finance, as well as healthcare have demonstrated established approaches to realising business value from big data, the construction industry remains at an early stage of adoption. Within this context, big data analytics capabilities (BDAC) play an essential role in translating digital data into business value (BDBV). This study aims to examine the relationship between BDAC and BDBV within construction organisations that increasingly generate digital data through their business operations. BDAC is conceptualised as comprising eight dimensions: data, technology, basic resources, analytical skills, managerial skills, data-driven culture, organisational learning, and business alignment. Meanwhile, BDBV is represented by strategic, transformational, informational, transactional, infrastructural, managerial, operational, and organisational values. A questionnaire survey was conducted, and data were collected from 109 construction organisations, including contractors, consultants, and developers operating in Peninsular Malaysia. The research hypothesis was tested using non-parametric statistical analysis in SPSS. The findings indicate that BDAC is positively associated with BDBV, with stronger relationships observed for operational and organisational value dimensions. However, weaker associations were found for transactional and informational values. Overall, the results provide valuable insights for researchers and practitioners seeking to understand better how analytics-related capabilities support business value realisation in the construction industry.

Big data analytics, capabilities, business value, construction industry, dynamic capabilities theory

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