Purpose: The purpose of this research was to conduct a comprehensive bibliometric analysis to explore supply chain resilience and operations management practices in the construction industry, with a particular focus on the transition from Industry 4.0 to Industry 5.0. The study addressed a significant gap in the literature regarding the impact of these advanced technologies on the construction sector’s ability to anticipate, respond to and recover from disruptions. Design/methodology/approach: The methodology employed a bibliometric analysis using the Scopus database to identify key trends, influential publications and emerging research areas using keywords such as “supply chain”, “operations management”, “Industry 4.0”, “Industry 5.0” and “construction”. This approach allowed for a quantitative evaluation of existing literature, offering insights into the intellectual structure of the field. Findings: The findings revealed that while Industry 4.0 technologies, such as IoT and AI, have enhanced the construction industry’s supply chain visibility and efficiency, the shift towards the Industry 5.0 paradigm introduces a human-centric approach that further strengthens resilience through collaboration and sustainability. Practical implications: The study’s practical implications suggest to both industry and academia that embracing Industry 5.0 principles could significantly enhance the construction industry’s resilience, enabling it to withstand disruptions better and maintain project quality, timelines, and budgets in an increasingly complex global environment. Originality/value: This research examines the shift from Industry 4.0 to Industry 5.0 within construction supply chains, offering a novel perspective on integrating these technologies.

Seismic-induced torsional response remains a significant barrier to achieving resilient and sustainable building foundations, as traditional passive isolation systems often fail to regulate rotational motion effectively. This study examines an adaptive gyroscopic feedback-based foundation control system designed to provide automated torsional seismic mitigation. The proposed system integrates real-time angular velocity sensing using MEMS gyroscopes, Kalman filter state estimation, and an adaptive Linear Quadratic Regulator to modulate damping in response to changing ground motion. A single-degree-of-freedom torsional foundation model was developed and evaluated in GNU Octave 8.4.0/MATLAB R2024a Simulink using the recorded El Centro 1940 NS earthquake input. The adaptive controller achieved notable improvements, reducing total vibration energy by 69%, peak angular displacement by 47.6%, and RMS angular velocity by 39.5% relative to the uncontrolled case, while keeping control energy below 19% of the seismic input. These results demonstrate that gyroscopic feedback enhances damping, limits torsional resonance, and stabilises foundation behaviour under actual earthquake excitation. The system’s low energy requirement, compatibility with embedded hardware, and automated response characteristics underscore its potential for integration into sustainable and intelligent foundation designs. While results are demonstrated using the El Centro 1940 record as a benchmark, broader generalisation will be established through multi-record suites and uncertainty quantification in future work. The study highlights a feasible pathway for advancing automated seismic protection in buildings through active, sensor-driven torsional control.

Purpose: This study develops a simulation-based cyber-physical framework that integrates bio-inspired adaptation and artificial intelligence (AI) within a digital twin environment to improve building energy efficiency, indoor environmental performance, and adaptability. Design/methodology/approach: A scientometric and narrative review was conducted to examine trends in intelligent building control, followed by the development of a MATLAB/Simulink simulation. The framework combines bio-inspired thermoregulation logic, AI-based predictive control, and a simulation-based feedback loop for adaptive building performance assessment. It was evaluated across temperate, tropical, and arid climates using representative building configurations under these climate conditions. Findings: The AI-augmented system achieved the best performance, reducing HVAC energy use by up to 27% in tropical climates (from 15.2 to 11.1 kWh/day) and improving the temperature-based comfort proxy by reducing deviation from the setpoint from 2.9°C to 1.3°C. It also showed faster thermal recovery (25–30 min) and stable learning convergence, with mean squared error decreasing from 0.09 to 0.005 over 50 epochs. Scientometric analysis indicates rapid growth in this field between 2016 and 2024, with AI, sustainability and IoT as dominant themes. Research limitations/implications: Results are based on simulation using standardised parameters. Real-world validation is required. Practical implications: The framework supports adaptive, energy-efficient building control using biologically inspired and data-driven strategies. Originality/value: The study presents an integrated simulation framework combining bio-inspired control, AI, and digital twin modelling for adaptive building performance.

Purpose: This study investigates how adaptive gyroscopic systems can improve indoor environmental quality (IEQ) and support low-energy building performance in Sub-Saharan Africa. The region faces persistent heat stress and unreliable electricity, and most buildings rely on passive strategies that cannot adjust to changing conditions. The study addresses the lack of research connecting gyroscopic mechanisms to climate-responsive design in this context. Design/methodology/approach: A bibliometric review supported by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol was conducted using Scopus publications from 2003 to 2024. Keyword co-occurrence, citation mapping, and thematic clustering were used to examine research on thermal comfort, ventilation, adaptive shading, energy use, and emerging gyroscopic or AI-assisted control systems. Findings: The analysis shows growing interest in adaptive environmental control, though direct building applications of gyroscopic systems remain limited. Two main clusters emerged: one focused on IEQ performance (thermal comfort, ventilation, energy efficiency) and another on regional sustainability themes. Evidence suggests that gyroscopic mechanisms, especially when paired with lightweight AI tools, can support airflow regulation, sun-responsive shading, and simple energy-management functions suited to low-energy buildings. Research limitations/implications: Further prototype development and real-world testing are needed. Practical implications: Gyroscopic systems can strengthen passive strategies without relying on mechanical cooling. Social implications: More stable indoor conditions can improve comfort and daily well-being in heat-stressed communities. Originality/value: This study is among the first to link adaptive gyroscopic systems with IEQ and low-energy performance in Sub-Saharan Africa.

Purpose: Limited empirical evidence exists on the adoption potential, expected implementation timeline and measures required to support bio-digital integration in developing-country construction contexts. This study aims to examine expert perspectives on these dimensions within the South African construction industry. Design/methodology/approach: An exploratory modified Delphi approach was adopted with 12 built environment experts. Adoption potential and expected timelines were assessed using categorical scales and descriptive statistics. Fifteen implementation measures were evaluated using a ten-point Likert scale and reassessed in a second round following controlled feedback. Consensus was assessed using median, interquartile deviation and percentage agreement, with mean and standard deviation additionally reported for Round 2. Findings: The expert panel indicated moderate adoption potential and predominantly anticipated adoption within 6–10 years and beyond. Regulatory frameworks, circular economy principles and workforce training were among the most highly rated implementation measures. However, consistently high ratings across all measures indicate limited differentiation between their relative importance. A structured adoption pathway is proposed to support implementation. Research limitations/implications: The findings reflect the perspectives of a small, predominantly academically affiliated expert panel and should not be interpreted as representative of the South African construction industry. Practical implications: The findings provide context-specific guidance for policymakers, industry stakeholders and researchers on policy development, capacity building and innovation investment. Originality/value: The study provides context-specific empirical evidence on expert assessments of bio-digital integration in South Africa by jointly examining adoption potential, anticipated timelines and highly rated implementation measures within a single framework.

PURPOSE This study explores how construction waste in the South African Construction Industry (SACI) can be turned into useful resources using bio-digital materials and practices. DESIGN / METHODOLOGY / APPROACH The research used scientometric and narrative reviews, collecting data from Scopus and Web of Science between 2010 and 2025. Analysis was done using Biblioshiny in RStudio to study keywords and themes. FINDINGS The results show strong research interest in “sustainable development,” “recycling,” and “compressive strength,” while new themes like “circular economy” and “3D printing” are emerging. These trends match South Africa’s need to manage construction waste better. Waste materials like concrete rubble, bricks, and wood can be reused with help from tools like Building Information Modelling (BIM), Digital Twins (DT), Augmented Reality (AR), drones, and bio-materials like mycelium and hemp. VALUE This study connects global research with local challenges in SACI, showing that bio-digital methods are both possible and practical for reducing waste and creating economic opportunities. PRACTICAL IMPLICATIONS Using people-centred ideas from Construction 5.0 can lead to better project delivery and more resilience to problems like economic downturns or resource shortages. LIMITATIONS The study only used published data and lacks field testing. Future studies should include real-life case studies within South Africa.