CIB Conferences
Abstract
Access to reliable capacity insights is critical for stakeholders in the construction industry, yet planning often suffers from uncertainties and inconsistent data. The goal of this research is to leverage data-driven business intelligence tools to evaluate and optimise the interplay of supply and demand in the construction industry, addressing capacity challenges while providing actionable insights for informed decision-making and strategic planning. This study adopts a mixed-methods approach, combining bibliometric analysis, a literature review, and a case study of Auckland, New Zealand. Using business intelligence tools, the research examines seasonal trends in project initiations and completions, resource inefficiencies, and contractor dependencies. The findings confirm the prevalence of boom-bust cycles and reliance on external contractors during peak periods. Despite limitations in data standardisation, this study demonstrates the potential of business intelligence tools to improve capacity planning and resource allocation.
The paper will be presented:
In-person
Primary U.N. Sustainable Development Goals (SDG)
Industry, Innovation and Infrastructure - - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Secondary U.N. Sustainable Development Goals (SDG)
Sustainable Cities and Communities - - Make cities and human settlements inclusive, safe, resilient and sustainable
Primary CIB Task Group OR Working commission
W065 – Organisation and Management of Construction
Secondary CIB Task Group OR Working commission
W055 – Construction Industry Economics
Recommended Citation
Zavvari, Azam; Babaeian Jelodar, Mostafa; Wilkinson, Suzanne; and Sutrisna, Monty
(2025)
"Construction Industry Capacity Evaluation: Using Business Intelligence for Data-Driven Insights,"
CIB Conferences: Vol. 1
Article 8.
DOI: https://doi.org/10.7771/3067-4883.2054