- BIM and Construction Integration
- Construction Project Management and Performance
- Facilities and Workplace Management
- Infrastructure Maintenance and Monitoring
- Occupational Health and Safety Research
- Sustainable Building Design and Assessment
- Public-Private Partnership Projects
- Recycled Aggregate Concrete Performance
- Quality and Supply Management
- Smart Cities and Technologies
- Sustainable Supply Chain Management
- AI in Service Interactions
- Fiscal Policy and Economic Growth
- Construction Engineering and Safety
- Underground infrastructure and sustainability
- Sustainable Industrial Ecology
- Construction Management and Sustainability
- 3D Surveying and Cultural Heritage
- Public Procurement and Policy
- IoT and Edge/Fog Computing
- Innovative Approaches in Technology and Social Development
- Environmental Impact and Sustainability
- Context-Aware Activity Recognition Systems
- Credit Risk and Financial Regulations
- UAV Applications and Optimization
University of Westminster
2025
Leeds Beckett University
2022-2024
Hong Kong Polytechnic University
2019-2023
Teesside University
2023
Digital Science (United States)
2023
Federal University of Technology
2017
Large Language Models (LLMs) trained on large data sets came into prominence in 2018 after Google introduced BERT. Subsequently, different LLMs such as GPT models from OpenAI have been released. These perform well diverse tasks and gaining widespread applications fields business education. However, little is known about the opportunities challenges of using construction industry. Thus, this study aims to assess A critical review, expert discussion case validation are employed achieve study's...
Purpose This study aims to evaluate and investigate the dynamics of barriers building information modelling (BIM) adoption from perspective small medium-sized enterprises ( SMEs) in developing countries with Nigerian construction industry as a case study. Design/methodology/approach An interpretive structural approach was adopted develop hierarchical model interrelationships barriers. Also, Matrice d’Impacts croises-multipication applique classement analysis used for categorisation Findings...
The construction industry is a vital sector of the global economy, but it faces many productivity challenges in various processes, such as design, planning, procurement, inspection, and maintenance. Generative artificial intelligence (AI), which can create novel realistic data or content, text, image, video, code, based on some input prior knowledge, offers innovative disruptive solutions to address these challenges. However, there gap literature current state, opportunities, generative AI...
The small and medium-sized enterprises (SMEs) which are the backbone of any economy often on disadvantaged side digital divide in construction industry. With advent building information modelling (BIM), SMEs facing challenges slow with its uptake. Hitherto, extant research studies BIM have focused primarily large firms there is an observed trend underrepresentation studies. Thus, this paper aims to investigate major drivers sustainable adoption Building Information Modelling dynamics these...
Utilising emerging innovative technologies and systems to improve construction processes in an effort towards digitalisation has been earmarked as critical delivering resilience responsive infrastructure. However, successful implementation is hindered by several challenges. Hence, this study evaluates the challenges facing adoption of unmanned aerial vehicles built environment. The adopted a quantitative survey environment stakeholders developed developing economies. A total 161 completely...
Previous research studies have identified a lack of skilled personnel and Building Information Modelling (BIM) knowledge training as one the major challenges hindering adoption BIM in Architecture, Engineering, Construction (AEC) industry. Despite significance these challenges, there is dearth to identify necessary skills overcome challenges. A few extant this area focused on general domain which may not sufficiently suit each domain. This study aims series domains, domain-specific skills,...
Given the heightened imperatives for supply chain resilience (SCR) in industrialized construction (IC) Hong Kong, this study modeled dynamic impact of vulnerabilities (SCVs) and capabilities (SCCs) on IC chains. The data collected through expert surveys, interviews, case studies were analyzed using social network analysis (SNA) system dynamics modeling (SDM) to develop research models. Onsite assembly was identified as most vulnerable phase, anticipation influential capability. Further, use...
Purpose Modular integrated construction (MiC) reengineers the traditional process. By introducing factory production and onsite assembly (OA) of modules, MiC reinvents projects' uncertainties risk profiles. The OA stage constitutes highest end delivery supply chains, where several inherited symbiotic errors events become realities, negatively impacting project's success. This study explored severities factors for projects. Design/methodology/approach A comprehensive literature review,...
Implementing smart-sustainable practices (SSP) is crucial to achieving environmentally-friendly buildings and cities. Adequate awareness understanding of its benefits impacts are essential for maximizing implementation. Hence, this study explores establishes the key SSP in built environment Hong Kong Nigeria. Factors were identified through literature survey, then data was collected using questionnaires analysed with various methods. The common beneficial outcomes (BT) both contexts relate...
Purpose This paper aims to review the status of development building information modelling (BIM), its trends and themes across six continents world. Design/methodology/approach A total 914 journal articles sought from search engine Web Science (WOS) based on country/region option WOS group them into continents. best-fit approach was then applied in selecting suitable software programmes for scientometric analysis comparisons deductions were made. Findings The findings revealed that there are...
Digitalisation in the construction sector promises numerous benefits, yet its widespread adoption India faces impediments. This study aims to identify and analyse critical barriers hindering of digitalisation within Indian sector. The adopts a multi-phase research approach, involving literature review potential barriers. Subsequently, questionnaire was administered 162 professionals industry. survey reveals willingness embrace digitalisation, citing benefits such as enhanced productivity...
Construction projects’ unsatisfactory performance has been linked to factors influencing individuals’ well-being and mental alertness on projects. Drowsiness is a significant indicator of sleep deprivation fatigue, so being able identify the cognitive physical preparedness workers site engage in construction tasks important. As consequence strenuous nature work involved construction, long hours, environmental conditions, drowsiness commonplace received less attention despite leading cause...
Purpose Construction renovation projects have been noted to suffer from uncertainties. While recent efforts studied uncertainties affecting the duration of other types projects, these overlooked construction projects. Therefore, this study aims evaluate uncertainty factors Design/methodology/approach In total, 226 responses professionals were collected via a questionnaire survey on impact The subjective experts industry categorised using principal component analysis (PCA) before being...
Purpose This paper examines macroeconomic factors affecting insolvency level in the UK construction industry. Design/methodology/approach A lagged dependent variable (LDV) model is proposed which adequately addressed serial correlation and endogeneity problems commonly existed time series data. Objective data from Q3 1997 to Q4 2023 are used evaluate seven refutable hypotheses. Findings It found that higher unemployment rate or annual interest burden leads number of insolvencies, while...
Purpose A serious concern for construction costs has been the presence of uncertainties in operations and how they affect project performance. Several models exist predicting costs. However, overlook effects on This study, therefore, aims to develop a predictive model that considers uncertainty when estimating building renovation Design/methodology/approach The study employed scope factors 45 development. SHapley Additive exPlanations (SHAP) was used reveal had significant impact improve...
Revamping infrastructure development with the best-emerging technologies and innovative procurement initiatives is seen as optimal way forward to sustainable development, improved safety health, performance management of built infrastructure. The global COVID-19 pandemic has amplified these imperatives highlighting need for 'smart infrastructure'. needs overcoming resource constraints suggest increased potential Public-Private Partnership (PPP) strategy worldwide. Thus, this study aims...
Purpose Although there has been a surge in the adoption of building information modelling (BIM) construction industry, small and medium-sized enterprises (SMEs) are still struggling perceive its as risky. The SMEs developing economies especially on disadvantaged side digital divide. Extant studies have focused large firms scanty influence external environments BIM SMEs. Thus, this study espouses institutional theory (INT) to examine coercive, mimetic, normative pressures awareness...
Purpose This study aims to examine facility management practices in the Nigerian healthcare sector, exploring approaches and identifying challenges facing effective facilities management. The purpose is contribute development of a framework for enhancing efficiency Nigeria. Design/methodology/approach employs sequential in-depth exploratory qualitative research approach. data collection involved conducting semi-structured interviews with 15 managers from diverse organisations collected were...