With the increasing scale and complexity of construction projects, a considerably growing number of studies have focused on managing supply chain scientifically to improve performance. To explore this field in depth, this paper uses the Bibliometrix R encapsulation tool to conduct a bibliometric analysis and visually display key findings on construction project supply chain management from 1998 to 2021. By using a series of indexes in econometric analysis, this paper introduces an overview of construction project supply chain research. Further, the current situation, historical evolution, and development of this field are explored using the content analysis of keywords. The results suggest that: (1) the number of publications in the field of the supply chain management of construction projects has increased over time and entered a period of rapid growth after 2015. During this period, articles related to ‘sustainability’, ‘prefabricated housing’, ‘reverse logistics’, and ‘lean management’ were widely cited by scholars, but the most frequently cited was ‘partnership’. (2) The keywords in the field of construction project supply chain management can be divided into ‘simulation research’, ‘sustainable research’, ‘method research’, ‘cooperation and integration’, ‘whole life cycle,’ ‘trust and communication’, and so on. The keywords ‘Radio Frequency Identification’ (RFID), ‘waste management’, ‘case study’, and ‘social responsibility’ are the current research hotspots. (3) The theme development of construction project supply chain management can be divided into supply chain integration and management, supply chain process design and optimization, the application of advanced technology, and sustainable supply chain management. This paper summarizes the main discoveries and developments in construction project supply chain management.

Purpose: In the construction sector, the knowledge-based process outgrows its emphasis on technological aspects. Yet, there is a lack of applied studies showing how a procurement system (PS) could be selected in the digital age. In particular, there is a radical need to establish an innovative process to visualise novel PS decision. Therefore, this paper aims to present a knowledge visualised framework for aiding construction PS decision-making.Design/methodology/approach: This paper describes the construction of process innovation. The framework (process) is supported by four influential decision supporting methods (mean utility values, analytic hierarchy process, fuzzy set theory and Delphi method) and computer programming (Matlab).Findings: There are four stages of this framework: (1) uniform rating for decision alternatives; (2) group decision for determining the decision attribute; (3) determining the final choice; (4) reporting the cognitive computing process. Supported by individual and groups decision dynamics, this framework emphasises how the dashboard aided innovative approach enables the induction of understanding, cognitive computing for decision-making and how the information would precisely be represented, which are vital requirements of modern construction.Originality/value: The contribution of this paper presents two leverage points that support the modern PS decision. Firstly, this paper provides a holistic view of the decision supporting methods on the basis of how a suitable PS would be systematically sought. Based on the existing studies, this paper upgrades into a visualised knowledge decision supporting process. It helps the participants understand and improve their cognitive learning. Secondly, this framework allows the participants to have a view of the individual and group decisions. It sheds light on the development of the collaborative decision-making process.

This paper presents a comprehensive literature review that addresses procurement selection criteria associated with procurement system evaluation in the construction sector. The aim is to consolidate the knowledge of construction procurement selection criteria (PSC) and provide future research directions. A systematic literature review (SLR) of 37 peer-reviewed journal articles from 1998 to 2019 in the construction procurement system selection process is carried out to understand the extant theoretical and practical foundations of the field. Two hundred fifty-six PSC have been identified. Descriptive and material analysis reveals (1) PSC evolved to match the promotion of emerging procurement systems in the construction industry; (2) three emerging themes of PSC have been identified, namely procurement systems, decision aid tools, and PSC identification methods; (3) PSC could be classified into generic criteria and unique criteria; (4) geographic location may not have a significant impact on the choice of procurement systems. This work identifies and discusses potential research interests in improving PSC identification. The research path, current trends, and future research directions in construction procurement selection are revealed. The paper provides the foundation and impetus for further investigation into procurement system selection practices.

The digital transformation of the construction industry has outpaced the evolution of traditional project management competency frameworks, leaving many Project Managers (PMs) underprepared to meet the demands of emerging technologies such as Digital Twins (DTs). This study develops and validates a Next-Gen Digital PM Competency List tailored to the Smart Built Environment (SBE) through a structured two-stage methodology. Stage 1 applied a three-phase process comprising (1) a Systematic Literature Review (SLR), (2) NVivo-based thematic analysis, and (3) Large Language Model (LLM)-driven synthesis. These phases identified, categorised, and defined 55 digital PM competencies, systematically organised into Skills, Knowledge, and Core Personality Traits. Stage 2 evaluates the practical relevance of these competencies by mapping them against six thematic functional requirements of DTs, including interoperability and integration, real-time data management, simulation and predictive modelling, cybersecurity and data governance, stakeholder collaboration, and scalability and lifecycle continuity. DTs were selected as an exemplar because they integrate multiple digital technologies, Building Information Modelling (BIM), Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing, making them a representative test case for evaluating competency alignment in digital transformation. The mapping confirmed strong alignment in digital integration and collaboration while exposing gaps in cybersecurity readiness and lifecycle resilience. The resulting framework provides a validated reference for competency benchmarking, targeted training, and digital leadership development. By equipping PMs with the competencies to lead, manage, and support digitally enabled projects, this research contributes directly to advancing smart and sustainable construction practices in the digital built environment.

Implementing seismic rehabilitation requires a substantial investment for substandard building owners. Seismic retrofitting can significantly reduce earthquake damages to the built envi­ronment and thus decrease the risk posing to the public and the community. However, many countries with active seismic zones, including New Zealand, experience slow progress of seismic retrofit. This paper examines the decision environment which has significant impact on stakeholders’ behaviours, to identify challenges in seismic rehabilitation decision-making. A qualitative approach was adopted with semi-structured interviews. A selection of building owners, government officials, and practical professio­nals involved in seismic retrofitting decision-making were interviewed. Major challenges identified by the interview results include various options, diverse considerations, assorted stakeholders, conflicting multiple objectives, and unaided decision making process. The inconsistency in expectation of whether building owners have sufficient aid in decision-making process offers plausible explanation regarding the key impediment to successful seismic rehabilitation decisions. A decision-making model is thus a necessity to assist building owners making an informed decision. Keyword : Earthquake-prone buildings, Seismic mitigation, Building owners,, Building owners