Bibliometric Knowledge-Based Performance Management in Construction Procurement

Purpose – This study investigates the evolution of the Knowledge-Based Performance Management System (KBPMS) in the public construction sector, focusing on the integration of performance management, digitalization, and data-driven decision-making. It aims to identify research trends, thematic clusters, and conceptual foundations for designing knowledge-oriented systems that enhance transparency and efficiency in public procurement. Design/methodology/approach – A bibliometric analysis of 145 Scopus-indexed journal articles published between 2015 and 2025 was conducted using VOSviewer and Biblioshiny. The analysis mapped publication patterns and keyword co-occurrence networks to visualize the intellectual structure and emerging themes within KBPMS-related research. Findings – The results reveal a progressive convergence between performance management and digital technologies in construction governance. Four major clusters were identified, representing decision-making frameworks such as the Analytic Hierarchy Process (AHP), data-driven construction management, risk and safety performance systems, and cost–benefit–based evaluation. These clusters reflect a transition toward integrated and knowledge-based performance models supported by digital tools like Business Intelligence (BI) and Building Information Modelling (BIM). Practical implications – The findings provide insights for policymakers and project managers to design and implement digital performance management systems that support data-informed decision-making, transparency, and sustainable governance in public construction projects. Originality/value – This study is among the first to apply bibliometric techniques to examine KBPMS research within the public construction context. It contributes by linking performance management, digital transformation, and evaluation frameworks into a unified knowledge-based approach for improving accountability and efficiency in public sector project management.