Journal Articles
Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915
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Item Human-centric integrated change management framework for digital transformation in construction(Emerald Publishing Limited, 2025-09-08) Bidhendi A; Poshdar M; Jelodar MB; Rahimian F; González VAPurpose – This study develops a human-centric change management framework to address the gap between building information modelling (BIM) potential and its practical implementation and adoption in the construction industry by focusing on human factors influencing digital transformation success. Design/methodology/approach – A multi-phased methodology was employed, combining systematic literature reviews with advanced network analysis techniques. Two literature review rounds extracted key change management activities and human-centric principles. Social network analysis (SNA) was utilised to quantify relationships and significance within the construction industry context, identifying high-centrality nodes in the network. Findings – The analysis identified training, organisational competency assessment and resource allocation as the most critical change management activities for successful digital transformation, which emerged as central nodes. The study developed a tailored three-phase framework (Strategic initialisation, Operational transformation and Sustainable integration) that enables construction organisations to implement BIM and digital technologies while maintaining focus on human factors. Practical implications include improved employee engagement, reduced resistance to technological change, enhanced organisational readiness for digital transformation and a structured pathway for construction organisations to move beyond current BIM implementation barriers. The framework provides actionable guidance for construction leaders to balance technological advancement with human-centric values, ultimately supporting sustainable digital transformation in the industry. Originality/value – This study offers a novel data-driven approach to digital transformation in construction by quantitatively analysing relationships between change management activities and human-centric principles. The research addresses a critical gap in BIM and digital transformation implementation literature by developing an integrated framework that balances technological advancement with human considerations, helping organisations move beyond current adoption barriers in the AECO industry’s transformative journey.Item Artificial Neural Network (ANN) model for predicting blast-induced tunnel response in Steel Fiber Reinforced Concrete (SFRC) structures(Elsevier Ltd, 2025-12-01) Ali M; Chen L; Feng B; Rusho MA; Jelodar MB; Tasán Cruz DM; Samandari NThis study presents an Artificial Neural Network (ANN)-based predictive framework for evaluating the blast-induced response of Steel Fiber Reinforced Concrete (SFRC) tunnel structures. As underground infrastructure is increasingly exposed to dynamic and extreme loading conditions, particularly from accidental or intentional explosions, accurate and efficient prediction tools are essential. In this research, a comprehensive dataset comprising 299 data points was developed, including approximately 120 experimental results from published blast and structural tests, and 179 high-fidelity numerical simulations. This combined dataset ensured both physical reliability and broad coverage of loading scenarios. The model incorporates nine critical input parameters: Peak Overpressure (MPa), Impulse (kPa·ms), Tunnel Diameter (m), Wall Thickness (m), Compressive Strength (MPa), Tensile Strength (MPa), Fiber Volume Fraction (%), Soil Stiffness (MPa/m), and Standoff Distance (m). The target output variable is the tunnel's Maximum Displacement (mm) under blast loading. A three-hidden-layer ANN architecture was optimized through rigorous hyperparameter tuning. The best-performing model, with 16 neurons in each hidden layer, achieved high predictive accuracy, with R² values of 0.983 (training), 0.956 (validation), and 0.948 (testing). Error metrics including RMSE (2.12–3.14 mm), MAE (1.92–3.52 mm), and MAPE (1.95 %–3.12 %) further confirmed the model’s robustness. Validation against experimental data from literature demonstrated excellent agreement, verifying the model's practical applicability. Additionally, sensitivity analysis identified Peak Overpressure and Standoff Distance as the most influential factors affecting displacement. The proposed ANN framework offers a computationally efficient and accurate tool for assessing SFRC tunnel performance under blast loading, supporting the design of safer and more resilient underground structures.Item Real-Time tracking and analysis in construction projects: A RealCONs framework(Elsevier Ltd, 2025-09-01) Radman K; Jelodar MB; Lovreglio R; Ghazizadeh E; Wilkinson SConstruction projects increasingly rely on processing vast amounts of data from multiple sources, including consultants (BIM), cloud-based project management platforms (e.g., Aconex), planning departments, construction sites, main contractors, and subcontractors. However, inefficiencies in data acquisition and reliance on manual data entry hinder real-time project analysis, delay notifications, and decision-making. This study introduces the Real-Time Data-Driven Construction Project Analysis Framework (RealCONs) to address these challenges by streamlining data flow and enhancing project performance. A comparative analysis used eight case studies four employing the existing approach and four utilising RealCONs—to assess improvements in data integration, early delay identification, and decision-making efficiency. The results, validated through Earned Value Management (EVM) and Earned Schedule Management (ESM) metrics, demonstrate that RealCONs significantly enhance project forecasting accuracy, schedule adherence, and cost management. Additionally, statistical analyses, including the Shapiro-Wilk test and the Wilcoxon Signed-Rank analysis, confirm that RealCONs outperform the existing approach by reducing data collection and decision-making delays, enabling project managers to implement proactive mitigation strategies. These findings highlight RealCONs’ potential to improve project efficiency, reduce costs, and optimise real-time construction management.Item A guideline for BIM and lean integrated construction practice(Emerald Publishing Limited, 2025-04-09) Likita AJ; Jelodar MB; Vishnupriya V; Rotimi JOBPurpose This study proposes a guideline for integrating Building Information Modelling (BIM) technology and lean construction practices to address the construction industry’s challenges in transitioning to environmentally friendly developments. Design/methodology/approach This study employs a qualitative research method, integrating and validating lean principles with BIM tools by extensively analysing previous studies. Subject matter expert interviews were conducted to validate the findings and create conceptual maps. Thematic and content analyses were performed to develop the proposed guidelines and recommendations. Findings The study highlights the potential of integrating BIM and lean construction practices to enhance productivity and reduce waste. The proposed guidelines provide practical recommendations for improving the implementation of BIM and lean practices, offering a structured approach for stakeholders to address critical challenges. Research limitations/implications While this study provides valuable insights, it primarily focuses on the New Zealand (NZ) context. Future research could explore the applicability of the proposed guidelines in different regions and consider quantitative validation methods to strengthen the findings. Originality/value This research contributes to the field by providing a novel guideline for integrating BIM and lean construction practices, addressing critical implementation challenges. The study offers valuable insights for global construction practices aiming to adopt advanced management approaches.Item Generative AI, Large Language Models, and ChatGPT in Construction Education, Training, and Practice(MDPI (Basel, Switzerland), 2025-03-15) Jelodar MB; Senouci AThe rapid advancement of generative AI, large language models (LLMs), and ChatGPT presents transformative opportunities for the construction industry. This study investigates their integration across education, training, and professional practice to address skill gaps and inefficiencies. While AI’s potential in construction has been highlighted, limited attention has been given to synchronising academic curricula, workforce development, and industry practices. This research seeks to fill that gap by evaluating AI adoption through a mixed and multi-stage methodology, including theoretical conceptualisation, case studies, content analysis and application of strategic frameworks such as scenario planning, SWOT analysis, and PESTEL frameworks. The findings show AI tools enhance foundational learning and critical thinking in education but often fail to develop job-ready skills. Training programmes improve task-specific competencies with immersive simulations and predictive analytics but neglect strategic leadership skills. Professional practice benefits from AI-driven resource optimisation and collaboration tools but faces barriers like regulatory and interoperability challenges. By aligning theoretical education with practical training and strategic professional development, this research highlights the potential to create a future-ready workforce. The study provides actionable recommendations for integrating AI across domains. These findings contribute to understanding AI’s transformative role in construction, offering a baseline for effective and responsible adoption.Item A review of climate change impact assessment and methodologies for urban sewer networks(Elsevier B V, 2025-06) Karimi AM; Jelodar MB; Susnjak T; Sutrisna MUnderstanding how climate change affects urban sewer networks is essential for the sustainable management of these infrastructures. This research uses a systematic literature review (PRISMA) to critically review methodologies to assess the effects of climate change on these systems. A scientometric analysis traced the evolution of research patterns, while content analysis identified three primary research clusters: Climate Modelling, Flow Modelling, and Risk and Vulnerability Assessment. These clusters, although rooted in distinct disciplines, form an interconnected framework, where outputs of climate models inform flow models, and overflow data from flow models contribute to risk assessments, which are gaining increasing attention in recent studies. To enhance risk assessments, methods like Gumbel Copula, Monte Carlo simulations, and fuzzy logic help quantify uncertainties. By integrating these uncertainties with a Bayesian Network, which can incorporate expert opinion, failure probabilities are modelled based on variable interactions, improving prediction. The study also emphasises the importance of factors, such as urbanisation, asset deterioration, and adaptation programs in order to improve predictive accuracy. Additionally, the findings reveal the need to consider cascading effects from landslides and climate hazards in future risk assessments. This research provides a reference for methodology selection, promoting innovative and sustainable urban sewer management.Item INFORMATION AND COMMUNICATION TECHNOLOGY APPLICATIONS IN CONSTRUCTION ORGANIZATIONS: A SCIENTOMETRIC REVIEW(ITcon, 2023-04) Eliwa HK; Jelodar MB; Poshdar M; Yi W; Kumar BThe application and research of Information and Communication Technology has exponentially grown in construction and is of a multidiscipline nature. However, there is a lack of investigation into progression of ICT research topics within the construction disciplines and the knowledge domain has not been deeply explored. This research fills this gap using a scientometric review of construction ICT research. Relevant literature from reputable sources are reviewed and classified to create a comprehensive framework for ICT application in construction. Accordingly, a manual review of research titles, as well as abstracts, was conducted. Accordingly, five analysis steps were performed including “Journals Selection, Publication Type and Name” “Citation Analysis”, “Keywords Co-Occurrence Network”, “Cluster Analysis”, and “Keyword time analysis”. A total of 376 research selected for burst detection, co-citation analysis, cluster analysis, keyword co-releases, and ICT application analysis in order to provide a comprehensive knowledge summary of the ICT application in the construction industry. Automation in Construction and Journal of Management in Engineering were identified as the major journals associated with research on the ICT application in the construction industry. Based on the research method, the articles used for scientometric analysis were only selected from Scopus and Web of Science database. Moreover, the study mainly concentrated on the quantitative analysis in regard to articles emerging frequently the knowledge domain, and were used to indicate the trends, timelines and hot topics. This research explores the construction industry body of knowledge by classifying the existing ICT related research, evolutionary trend, providing current status, a comprehensive knowledge framework, and future directions.Item Innovative use of low-cost digitisation for smart information systems in construction projects(MDPI (Basel, Switzerland), 2021-06-24) Jelodar MB; Shu F; Edwards DJ; Aigbavboa C; Ejohwomu OThe low-level application of digital tools and information systems in construction implies that many projects cannot meet modern requirements and standard of work of advanced industries. This study adopts a practical and diagnostic approach to identify key attributes and implementation processes of information systems in construction and logistics. To have triangulation of knowledge, a three-step methodology is adopted. Initially an exploratory analysis of previous literature is per-formed. Secondly a diagnostic analysis of IS applications in construction is achieved by case studies. Finally, expert interviews are performed to examine and consolidate the findings. The study illus-trated practical and innovative applications of low-cost digital tools in IS development and created a framework for documentation of these discrete and mostly unshared practices. It is recommended that the construction sector should embrace more advance technologies to minimise human inter-vention and enhance real-time capabilities. The practicality of how different low-cost and off-the-shelf tools and digital platforms can be combined is discussed and demonstrated. The study provides a clear distinction for practitioners and academics as to what is being practiced in comparison to the dominant theories.Item Information and Communication Technology (ICT) Utilization and Infrastructure Alignment in Construction Organizations(MDPI (Basel, Switzerland), 2022-03-01) Eliwa HK; Jelodar MB; Poshdar M; Xia BInformation and communication technology (ICT) is one of the important factors that support construction project performance. Various studies have concluded that by aligning the ICT utilization with organizational ICT infrastructure, better performance outcomes can be achieved from the project to organization level. A positive connection between utilization of ICT and project performance has been established. However, the effects of ICT utilization strategy alignment with the organizational ICT infrastructure on construction project performance have not been investigated. This research evaluates and analyzes the importance of organizational ICT infrastructure to improve ICT utilization not just at the project level but also at the level of construction organizations. The main objective of this research is to investigate whether the effect of ICT utilization on project performance may be restricted and affected by its alignment with the ICT infrastructure level in the organization. The analyses of ICT infrastructure, ICT usage, and their associations with project performance are based on case studies of projects and organizations from the New Zealand construction sector. A method of evaluating ICT utilization and ICT infrastructure is proposed. This allows for further detailed examination of the strategic alignment between ICT utilization and organizational infrastructure. The effects of this strategic alignment on project performance are discussed and recommendations for the optimal strategic utilization are provided.Item Tsunami evacuation modelling via micro-simulation model(Elsevier B.V., 2023-02-15) Fathianpour A; Evans B; Jelodar MB; Wilkinson SThe associated tsunami risks posed to coastal regions in earthquake-prone areas highlight the importance of an effective emergency evacuation plan for these regions. Evacuation simulations have shown to be a valuable tool in assessing the effectiveness of existing evacuation plans and providing solutions for risk reduction, and improving community readiness. This paper describes the development of a micro-simulation evacuation model (MSEM) to assess the effectiveness of local tsunami evacuation processes and test the results with a velocity-based theoretical model. As an agent-based model, the MSEM considers both pedestrian and vehicle interactions and their interactions with each other. The models were used to assess the evacuation scenarios for a tsunami-prone city Napier, in New Zealand. The evacuation process was evaluated based on a local 8.4 Mw earthquake that would trigger a tsunami event, with an evacuation time of 50 min between feeling the initial shake in Napier City and the time of arrival of the tsunami wave. The study outlined within this paper assumes two scenarios: (1) effected population would evacuate by foot, and (2) affected population would evacuate by car, considered to take place during the afternoon at the traffic peak time. The results of the MSEM show factors such as evacuation method, lane and sidewalk capacities, and interactions between individuals affect the individuals' ability to safely evacuate. The MSEM model based on scenario 1 and 2 for Napier City, demonstrated around 85% of residents would reach designated safe area when all evacuating by foot, whilst, only 45% of evacuees will reach their designated safe zone if all individuals attempted to use vehicles as their means of evacuation.