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        <title>Frontiers in Built Environment | Construction Management section | New and Recent Articles</title>
        <link>https://www.frontiersin.org/journals/built-environment/sections/construction-management</link>
        <description>RSS Feed for Construction Management section in the Frontiers in Built Environment journal | New and Recent Articles</description>
        <language>en-us</language>
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        <pubDate>2026-05-08T07:09:25.525+00:00</pubDate>
        <ttl>60</ttl>
        <item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2026.1780599</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2026.1780599</link>
        <title><![CDATA[Value management implementation for improving sustainability in construction projects: integrating life cycle cost and weighted evaluation analysis]]></title>
        <pubdate>2026-05-08T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Ahmad M. Zamil</author><author>Mohammad Alhusban</author><author>Abdullah Alharkan</author>
        <description><![CDATA[IntroductionValue management (VM) has demonstrated effectiveness in construction projects, yet remains underutilized in tunneling. This study addresses the gap by applying VM systematically to a major tunneling project in Saudi Arabia to improve sustainability and long-term value.MethodsA structured case-study design involving 12 multidisciplinary experts was adopted. The VM process integrated six standard phases with function analysis, weighted multi-criteria evaluation, and Life Cycle Cost (LCC) analysis.ResultsThe preferred alternative achieved a cost reduction of SAR 6,869,411 while improving sustainability-related performance. VM combined with sustainability criteria and LCC analysis identified cost-effective alternatives.DiscussionThe study contributes a replicable early-stage decision-support framework for underground infrastructure projects.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2026.1797943</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2026.1797943</link>
        <title><![CDATA[Study on the economic significance of green building certification in industrial real estate]]></title>
        <pubdate>2026-04-29T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Yuki Takahashi</author><author>Takashi Kaneta</author><author>Sayaka Nishino</author>
        <description><![CDATA[In recent years, ESG investment has gained increasing importance and has also been applied to real estate investment, where it is visualized through green building certifications. However, because obtaining such certifications entails costs, they must have economic significance to justify their adoption. While numerous previous studies have examined the economic significance of certifications for office buildings, there is a lack of such research for industrial real estate. Against this background, this study aims to clarify the economic significance of green building certifications for industrial real estate and to discuss their appropriate role by quantitatively organizing and analyzing the current status of such certifications in the securitized real estate market. The analysis focuses on industrial real estate held by J-REITs, specifically logistics facilities, factories, data centers, and research and development facilities. Among logistics facilities, approximately 70 percent of the properties have obtained green building certifications, with CASBEE and BELS accounting for the majority. As the sample size for logistics facilities was sufficiently large, a hedonic regression was applied to properties in the Tokyo metropolitan area, using NOI per unit as the dependent variable, to test whether there is a significant difference between certified and non-certified properties. The results were not statistically significant, and thus no direct economic significance of certification was confirmed. However, certification scores were concentrated at levels of three or higher, which is consistent with the criteria required for obtaining green bonds or green loans. This indicates that certification has indirect economic significance by contributing to financing advantages for investment corporations. In contrast, factories, data centers, and research and development facilities exhibited much lower levels of certification acquisition compared with logistics facilities. This is considered to be due to the fact that, unlike overseas markets, existing certification systems in Japan are not well adapted to these asset types. Finally, the study argues that for certifications to exert more direct economic significance, it is necessary for certification systems that evaluate not only environmental (E) factors but also social (S) factors to further develop.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2026.1807976</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2026.1807976</link>
        <title><![CDATA[Drivers of corruption risk in Malawi’s large infrastructure projects: a longitudinal policy and institutional analysis (1966–2025)]]></title>
        <pubdate>2026-04-28T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Alfonso Chikuni</author><author>Michael Chasukwa</author><author>Blessings Chinsinga</author><author>Patsani Gregory Kumambala</author>
        <description><![CDATA[Corruption in large infrastructure projects remains a persistent governance challenge in low- and middle-income countries despite extensive reform efforts. This paper examines the persistence and evolution of corruption risk in Malawi’s infrastructure sector through a longitudinal analysis of institutional evolution, governance reforms, and political–economic dynamics from 1966 to 2025. Rather than measuring corruption incidence, the study adopts a risk-based, system-level perspective that conceptualises corruption as a dynamic governance phenomenon. Drawing on qualitative analysis of legislation, procurement frameworks, national development strategies, governance diagnostics, and evidence from Malawi CoST assurance reports, the paper traces how reforms reshaped discretion, accountability, and enforcement across the project lifecycle. The findings show that reform intensity has not reduced corruption risk but instead produced institutional expansion without corresponding enforcement effectiveness. Corruption risk is displaced across lifecycle stages, concentrating in project identification, design, and contract management. This displacement is mediated through imbalances in discretion, accountability, and enforcement. The study identifies structural, institutional, organisational, and political–economic drivers underpinning this persistence. It advances a lifecycle-based framework with implications for infrastructure sustainability and governance reform in developing countries.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2026.1700501</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2026.1700501</link>
        <title><![CDATA[Evaluating the factors contributing to unsafe working conditions in the construction industry within conflict-affected Afghanistan]]></title>
        <pubdate>2026-04-20T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Parvez Ahmad Hashmat</author><author>Abdullah Ansari</author><author>Abdul Habib Zaray</author><author>Mohammad Shahid Hamkar</author><author>Kumar Neeraj Jha</author><author>Pranjal Mandhaniya</author><author>Ayed E. Alluqmani</author>
        <description><![CDATA[Workplace safety is one of the persistent challenges in the construction industry. When an international contractor performs construction in a war-affected region, this challenge becomes manifold in its magnitude. The international contractors follow standard operating procedures for safety on construction sites, however, the execution largely remains with the local workforce. Poor skills, lack of professionalism, and paucity of ethical behavior among the workforce bring challenges to the international contractors to keep the construction sites safe in war-affected regions. This is associated with frequent accidents and injuries at sites which hamper the credibility and image of the international contractors to obtain future contracts. Therefore, this study aims to identify the factors affecting safe working conditions in war-affected regions. A total of twenty-four safety attributes were identified through a literature review. The identified attributes were ranked using the response of 114 Afghan construction experts through a questionnaire survey approach. Subsequently, factor analysis was used to categorize the identified attributes into four factors. Through the use of factor analysis, the result identified four factors responsible for poor safety of Afghanistan construction sites: (i) poor safety culture; (ii) resource shortages; (iii) poor stakeholder management; and (iv) unfavorable project conditions. The results of this study will be helpful to governments and international contractors in formulating strategies for providing a safe working environment at construction sites in war affected regions. In addition, the results will also help in reducing the fatalities of the war affected workforce on construction sites.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2026.1798096</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2026.1798096</link>
        <title><![CDATA[Unpacking trends in artificial intelligence research in the construction industry: a bibliographic review]]></title>
        <pubdate>2026-04-15T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Nathaniel Ayinde Olatunde</author><author>Iruka Chijindu Anugwo</author><author>Imoleayo Abraham Awodele</author><author>Molusiwa Stephan Ramabodu</author><author>Bolanle Felicia Adegoke</author>
        <description><![CDATA[IntroductionThe study examines the evolution, intellectual structure and global distribution of artificial intelligence (AI) research within the construction industry, with the aim of systematically mapping scholarly trends and identifying future research directions in a rapidly maturing field.MethodsA Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guided bibliographic review was conducted using the Scopus database. An initial dataset of 1,489 publications was systematically screened, resulting in 764 journal articles and conference papers published between 2015 and 2025. Bibliometric techniques, including productivity analysis, citation analysis, and keyword co-occurrence network mapping using VOSviewer, were applied to examine research growth patterns, influential contributors, and dominant thematic clusters.ResultsThe results reveal sustained and accelerated growth in AI-related construction research, particularly after 2020, indicating increasing conceptual consolidation. High-impact journals and a small group of leading authors and institutions dominate knowledge production. Four major thematic clusters emerge: AI-enabled safety and automation, predictive modelling and optimisation, digital life-cycle integration, and AI-based decision support. While the United States, United Kingdom and China lead global output and citation impact, several developing countries also demonstrate substantial research participation. However, citation influence and global visibility remain concentrated within established research systems.DiscussionThe findings demonstrate that AI research aligns closely with core industry challenges, particularly safety management, performance prediction, and data-driven decision-making. Construction organisations are likely to derive the greatest value from AI when it is embedded within integrated digital information environments such as BIM and digital twins. The study is limited to English-language, Scopus-indexed publications and does not assess real-world implementation outcomes. Future studies should incorporate multiple databases and empirical case analyses, particularly in underrepresented regions. The study provides one of the most comprehensive, PRISMA-compliant bibliographic syntheses of AI research in construction, offering a structured intellectual map of a rapidly maturing field.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2026.1755769</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2026.1755769</link>
        <title><![CDATA[Indigenous knowledge-informed HVAC design for reserve health facilities: a mixed-method case study on Prairie reserves]]></title>
        <pubdate>2026-04-10T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Akinola Ogbeyemi</author><author>Lori Bradford</author><author>Wenjun Chris Zhang</author>
        <description><![CDATA[BackgroundHealth facility construction on Canadian reserves takes place within complex environmental, social, and cultural contexts. Heating, ventilation, and air conditioning (HVAC) systems influence indoor air quality, thermal comfort, and the ability of buildings to support cultural practices such as smudging, gathering, and flexible use of interior spaces. Conventional engineering design processes often follow linear technical decision pathways that give limited attention to Indigenous knowledge or community patterns of building use. This can contribute to mismatches between installed systems and the ways facilities are used and experienced in practice.MethodsThis study uses a community-engaged mixed-method case study on HVAC design considerations in reserve health facilities on the Canadian Prairies. A scoping review of HVAC design and building performance was combined with semi-structured interviews with Indigenous knowledge holders, facility managers, engineers, and building users. Findings from both were examined together to identify recurring design challenges and community-defined priorities. These findings were organized using a Function–Context–Behaviour–Principle–State–Structure analytical framework and used to develop a preliminary Indigenous Knowledge Informed Design (IKID) decision-support framework for HVAC planning.ResultsThe analysis identified areas of misalignment between standard HVAC configurations and community priorities in reserve facilities. These included limited accommodation for ceremonial ventilation, uneven thermal comfort across activity spaces, and operational constraints related to climate conditions and building management capacity. The combined findings informed design considerations for HVAC planning, including ceremony-responsive ventilation strategies and localized thermal comfort zones that reflect patterns of use.Contributions and implicationsThis study presents a preliminary IKID-informed design framework that places community-identified priorities alongside engineering considerations in HVAC planning. The framework is intended as a decision-support concept rather than a validated engineering tool. It highlights how community-engaged research can inform culturally responsive infrastructure design and identifies areas for further testing, co-development with communities, and application in future health facility planning.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2026.1741658</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2026.1741658</link>
        <title><![CDATA[Exploring designers’ perceptions of documentation quality management and its effect on construction project success]]></title>
        <pubdate>2026-03-26T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Tomáš Hanák</author><author>Michal Mikulík</author><author>Marcin Soniewicki</author><author>Ivan Marović</author>
        <description><![CDATA[IntroductionRecent studies emphasize the critical role of documentation quality management within the entire life cycle of a construction project. While prior studies addressed how quality of the documentation and change management affects the project delivery, a stakeholder-specific view on the effect of documentation quality on the project success has not been adequately explained. To address this gap, this paper aims to examine how technical specification of the tender documentation, specifically the quality of drawings and list of work, supplies, and services, affects the success of the project from the iron triangle perspective and designers’ viewpoint.MethodsQuantitative data was collected via a questionnaire survey administered to construction professionals in the Czech Republic. The data was analysed using partial least squares structural equation modelling approach. The analysed model consisted of four reflective constructs. Both direct relationships and indirect relationships through mediation were examined.ResultsThe findings prove that experience of design documentation suppliers and knowledge in drawing documentation as well as the list works, supplies and services have statistically significant positive effect on the production of high-quality documentation. Furthermore, these factors are positively associated with project success in terms of costs, timely completion, and quality outcomes. The analysed model confirms both direct and indirect effects on the project success, with documentation quality serving as a significant mediating variable.DiscussionThe findings underscore the importance of documentation quality management at the early stages of the construction project and the need to consider a stakeholder-specific perspective on its provision. Several managerial implications for project-based organizations are discussed with emphasis on careful selection of design supplier by clients.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2026.1784642</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2026.1784642</link>
        <title><![CDATA[From failure to function: applying failure mode and effects analysis for continuous process improvement in industrialised housebuilding]]></title>
        <pubdate>2026-03-23T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Wolfgang Grenzfurtner</author><author>Manfred Gronalt</author>
        <description><![CDATA[Reducing the costs of unproductive time in conjunction with the need to reduce rework due to defects and non-conformities is important for improving the efficiency and competitiveness of industrialised housebuilding (IHB), as well as reducing waste. Continuous improvement (CI) of processes and design standards is essential to achieving these goals, and various methods and tools are employed to this end. This paper analyses the suitability of failure mode and effects analysis (FMEA) for supporting CI in IHB. To this end, a case study was conducted within an IHB company to analyse the suitability of the method employed in this specific industry. FMEA was assessed using data generated through participant observation, qualitative interviews, workshop protocols, and the output of its application: the revised processes and quality costs from two case studies. The findings of the case study showed the effects of involving experts’ knowledge and considering employees’ workplace-specific knowledge in a CI process. The assessment of potential failures was found to be more evidence-based than in the initial situation and resulted in cost effective solutions from a quality cost analysis perspective. Overall, FMEA offers the opportunity to improve the efficiency of CI programmes in IHBs but managers need to be aware of its weaknesses. This paper provides three contributions: (1) Using a real-world application, it shows how FMEA can be embedded as a structured, team-based risk analysis in the IHB order fulfilment process (OFP) and what measurable quality cost effects result from this. (2) It highlights the knowledge integration function of FMEA in the construction context. (3) It discusses organisational learning as a channel of impact (cooperation, communication, shared process view) and identifies methodological limitations of the application (e.g., participation effort). Together, this addresses the research gap in the systematic, evidence-based use of FMEA for CI programmes in IHB.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2025.1564587</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2025.1564587</link>
        <title><![CDATA[Assessing the effectiveness of public private partnerships (PPPs) in the South African correctional centers infrastructure provision]]></title>
        <pubdate>2026-03-19T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Mokgale Maboko</author><author>Nthatisi Khatleli</author>
        <description><![CDATA[The provision of infrastructure is crucial for driving economic growth in South Africa, but the country faces significant challenges in delivering these services, leading to widespread protests and negative economic consequences. In response, South Africa has adopted Public-Private Partnerships (PPPs) as a key strategy in addressing socio-economic, political, and fiscal challenges. The Department of Correctional Services (DCS) has also implemented PPPs for infrastructure development and project delivery to reduce overcrowding, provide financial relief, and achieve strategic objectives. Notable examples include the Kutama-Sinthumule and Mangaung Correctional Centres, which provided financial relief and assisted with infrastructure provision. Despite the success of PPPs in addressing infrastructure needs within the DCS, security breaches and operational instability persist. This study examines the effectiveness of PPPs in infrastructure provision within the DCS. A qualitative mono-method approach was employed, using semi-structured, face-to-face interviews with 17 respondents from the DCS in Tshwane. Thematic analysis, through NVivo 12 software, was used to identify themes that highlight the effectiveness of PPPs within the department. The findings revealed a significant lack of oversight and limited experience in managing PPPs within the DCS. The study recommends an urgent need for the government to strengthen the legislative framework and implement robust monitoring tools to prevent opportunistic behaviour, enhance transparency, and improve accountability in PPP projects.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2026.1690579</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2026.1690579</link>
        <title><![CDATA[Public-private partnership: the critical factors considered for Vietnam metro projects]]></title>
        <pubdate>2026-03-19T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Huynh Thi Yen Thao</author><author>Vuong Thi Thuy Duong</author><author>Nguyen Minh Tri</author>
        <description><![CDATA[Public-private partnership (PPP) model has been widely used all over the world for several decades due to its significant benefits. However, the number of urban rail PPP projects seems to be less than other kinds of infrastructure projects, such as road, bridge, or energy. In recent years, urban railway projects have developed in low-income countries such as Vietnam and applying PPP is seen as an appropriate way to reduce financial burden for government. This research aimed to identify critical factors (CFs) that Vietnamese government must pay more attention to before implementing urban rail PPP projects to contribute to their success through employing both qualitative and quantitative methods. To determine the key critical factors (CFs) and assess their significance, the study employed an integrated approach combining both qualitative and quantitative techniques. The results show that 24 CFs were identified, in which variable P4 - Management ability of public sector was placed at the first position, which accounted for 4.24 of mean value and P1 - Stable political and social environment got the lowest rank with the importance score of 3.71. Based on the empirical results of using explanatory factor analysis and multiple regression technique, five groups that contribute positively to the success of Vietnam Metro PPP projects were revealed. The group of “Legal” factors has the strongest impact, followed by the group of factors “Scope, technology, and construction”, “Finance”, “Politics, socio-economic and business environment”. Meanwhile, the group of “Risk” factors is believed to have the weakest impact on the success of the urban railway PPP projects. The results of this study have certain contributions in reviewing and preparing legal, financial, economic, and social conditions to ensure success when applying the PPP model to urban railway projects in Vietnam.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2026.1786128</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2026.1786128</link>
        <title><![CDATA[Editorial: Doctoral research in construction management]]></title>
        <pubdate>2026-03-17T00:00:00Z</pubdate>
        <category>Editorial</category>
        <author>Zhen Chen</author><author>Heng Li</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2026.1765571</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2026.1765571</link>
        <title><![CDATA[Digital tool applications in construction and demolition waste management: a systematic mapping review]]></title>
        <pubdate>2026-03-13T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Happison Muzioreva</author><author>Innocent Musonda</author><author>Trynos Gumbo</author>
        <description><![CDATA[Globally, the construction industry produces around 40% of all annual waste, making it a major contributor to environmental challenges within the built environment. While digital tools and circular economy practices have shown promise in reducing construction and demolition waste, most research focuses on developed countries. This paper seeks to understand the current state of digitalization in construction and demolition waste (CDW) management, identify key themes and trends, and provide guidance for adopting digital technologies to support sustainable construction waste management in developing countries. The PRISMA methodology and the archival research methods were used to identify papers published in the last 10 years through Scopus, Web of Science, and Google Scholar. The results show that of the 60 papers that were identified most of the research is concentrated in Europe and Asia. BIM was also found to be the most digital tool used in managing construction and demolition waste. More advanced technologies, such as machine learning, artificial intelligence, computer vision, and robotics, are mainly applied at demolition and recycling stages to support waste identification and material recovery. Based on the findings, the study outlines a phased approach to digital CDW management for developing countries, starting with BIM-based waste prevention and progressing towards more integrated, standardized, and scalable digital solutions that support sustainable industrialization in the built environment. As a mapping-focused study, this review emphasized the classification of digital tools and their applications; future studies should focus on empirical evaluations and comparative analyses to provide deeper performance-based insights into digital solutions for CDW management.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2026.1758283</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2026.1758283</link>
        <title><![CDATA[Strategic approaches to AI adoption in the construction industry of Ghana]]></title>
        <pubdate>2026-03-11T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Rexford Henaku Aboagye</author><author>Clinton Aigbavboa</author><author>Simon Ofori Ametepey</author><author>Hutton Addy</author>
        <description><![CDATA[IntroductionThe integration of artificial intelligence (AI) in the construction industry holds immense potential to enhance productivity, improve decision-making, and increase operational efficiency. However, in many resource-constrained environments, the adoption of AI technologies remains slow owing to infrastructural limitations, skills deficits, regulatory uncertainties, and institutional challenges. This study investigates strategic approaches to AI adoption within the construction industry of resource-constrained environments, using Ghana as a representative case.MethodsA quantitative research design was employed, involving 239 responses from construction professionals. The data was analysed using exploratory factor analysis (EFA) to identify and validate the strategic approaches.ResultsThe analysis revealed a three-cluster structure comprising strategic collaboration and governance, operational integration and safety, and workforce development and technical infrastructure. These clusters offer a context-specific approach that captures the multifaceted requirements for AI adoption in resource-constrained construction environments.DiscussionRather than the application of EFA, the contribution of this study lies in the empirically validated framework it produces which clarifies how AI adoption strategies interrelate in the construction industry of Ghana. The study contributes to the growing literature on digital transformation in construction by offering practical, evidence-based guidance to industry leaders, policymakers, and researchers seeking to drive AI adoption in resource-constrained environments.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2025.1717168</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2025.1717168</link>
        <title><![CDATA[A PLS-SEM analysis of people, management, and organisational culture influences on AI-driven hospital facilities management systems]]></title>
        <pubdate>2026-03-04T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Motheo Meta Tjebane</author><author>Molusiwa S. Ramabodu</author>
        <description><![CDATA[IntroductionAs hospitals increasingly integrate artificial intelligence (AI) into facility and asset management, understanding the organisational and human factors influencing this transition has become essential. Despite growing interest in AI-driven facility management, there is limited empirical evidence on how organisational culture, management commitment, and staff-related factors shape AI adoption in hospital environments.MethodsThis study employed Partial Least Squares Structural Equation Modelling (PLS SEM) to analyse data from a diverse sample of built environment professionals with experience in hospital asset and facilities management. The model assessed the influence of organisational culture, managerial commitment and people-related factors on staff adaptability and AI integration.ResultsThe structural model demonstrated strong explanatory power (R2 = 0.901), confirming that organisational culture significantly influences both staff adaptability and AI integration within hospital facility management systems. Unexpectedly, hypotheses related to people factors (H1) and management commitment (H2) were not statistically significant. These results may be attributed to sample characteristics or potential measurement limitations.DiscussionThe findings highlight the dominant and necessary role of organisational culture in shaping AI adoption within hospital facility management—overshadowing individual-level and managerial influences. This suggests that fostering a conducive organisational culture may be more critical than isolated managerial directives or individual competencies when implementing AI-driven systems. The study provides actionable insights for hospital administrators and policymakers aiming to align AI implementation strategies with organisational readiness, thereby contributing to the emerging body of knowledge on AI adoption in healthcare facilities management.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2026.1761692</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2026.1761692</link>
        <title><![CDATA[Improving construction efficiency through lean techniques and digital tools: case of a real-time implementation in an institutional building construction]]></title>
        <pubdate>2026-02-26T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Kishore Kumar Mohan</author><author>Diyana Tomy</author><author>Anjana Vasukuttan</author><author>Prasanna Venkatesan Ramani</author><author>Benjamin Boahene Akomah</author>
        <description><![CDATA[IntroductionConstructions continue to be plagued with waste, cost-overrun, delays and poor real-time coordination. However, the integrated implementation of both lean construction and digital tools (e.g. BIM, business intelligence) have not been extensively investigated under real-time project settings despite their respective capabilities in boosting performance.MethodsThis research utilised a Lean–Digital integrated methodology in the context of a building project at an institutional scale located in Vellore. Activities were categorized as value-adding (VA), non-value-adding (NVA) and necessary non-value-adding (NVAN) using Value Stream Mapping (VSM). A 4D/5D BIM model in Autodesk Revit was synchronised with Power BI dashboards via Speckle for online monitoring. Workflows (Power Automate) were built to create automatic alerts and approvals. Performance was tested in the field during a 4-month observation period.ResultsLean construction interventions decreased the duration of excavations by 15% and saved 2.06% (234.88hours) total in a project’s time span. Real time digital dashboards led to better communication with parties involved, minimized delays in approval and constituted more transparency in monitoring progress. The automated workflows accelerated reporting cycles and increased agility in the decision-making process.DiscussionThe findings demonstrate that integrating lean process optimization with digital monitoring platforms creates measurable efficiency gains and enhances proactive project management. The proposed framework supports data-driven decision-making and offers a scalable model for improving construction productivity through synchronized Lean–Digital implementation.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2026.1695263</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2026.1695263</link>
        <title><![CDATA[ICT adoption in Lagos building production management: a 4Ps framework for project delivery outcomes]]></title>
        <pubdate>2026-02-17T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Lydia F. Dekolo</author><author>Samuel Dekolo</author>
        <description><![CDATA[Information and Communication Technology (ICT) has transformative potential to improve building project outcomes, yet adoption remains uneven in developing contexts such as Lagos, Nigeria. This study applied the 4Ps framework (People, Process, Product, and Policy) to examine the levels, drivers, and barriers to ICT adoption among building professionals in Lagos. A structured questionnaire was administered to 53 purposively selected professionals across architecture, engineering, construction, and quantity surveying. Data were analysed using descriptive statistics, Likert weighted scoring, Exploratory Factor Analysis (EFA), reliability testing, and multivariate regression. The findings indicate that while mobile-based tools and AutoCAD are commonly used, advanced systems such as Building Information Management (BIM) and project scheduling software are underutilised. Descriptive rankings identified improved communication, productivity, and time savings as top benefits, while high software costs and inadequate training were the most prominent barriers. EFA identified four latent constructs aligned with the 4Ps, explaining 66.61% of the total variance. Internal consistency was high across factors (Cronbach’s α: Policy = 0.94, Product = 0.94, Process = 0.92, People = 0.85). Regression results revealed that Workplace ICT Access (β = 0.90) and ICT Expertise (β = 0.28) are statistically significant predictors of ICT adoption (Adjusted R2 = 0.976, p < 0.001). The study concludes that structural enablers, such as access to workplace tools and user expertise, are more critical than demographic or attitudinal factors. Comparative analysis suggests that Lagos’s trends mirror those in Kenya and Ghana, with enhanced performance but lagging behind in the use of advanced ICT applications, such as BIM uptake, as seen in South Africa. Policy recommendations include subsidising software costs, integrating ICT training into curricula, and instituting national digital construction standards. These findings contribute to theory by validating the 4Ps model in a new context and by offering practical strategies for ICT-driven improvements in project delivery outcomes across similar developing cities in sub-Saharan Africa.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2026.1744034</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2026.1744034</link>
        <title><![CDATA[Perceived productivity impacts of digitalization in the Finnish construction industry: a mixed-methods study]]></title>
        <pubdate>2026-02-17T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Arttu Jämsä</author><author>Taha Karasu</author><author>Pekka Leviäkangas</author>
        <description><![CDATA[This research examines the perceived effects of digitalization on construction productivity in the Finnish construction industry. The study is motivated by the sector’s ongoing productivity challenges and the widespread expectation that digital tools can offer solutions. The aim of the paper is to assess the perceived benefits and challenges of digitalization in the Finnish construction industry by combining insights from literature with an online survey (n = 40) and semi-structured interviews (n = 10) with Finnish construction professionals. As the study is based on self-reported perceptions and experiences, the findings do not represent direct measurements of productivity outcomes. The findings reveal that digitalization is already perceived to deliver tangible productivity benefits, particularly through improved collaboration, enhanced quality, fewer errors and more effective project management. However, these benefits are not considered to be equally distributed among the stakeholders, highlighting uneven value distribution across the AEC value chain. On the other side, digitalization is perceived to have increased the workload and costs of the design phase, while contractors and clients benefit from the efficiency gains enabled by digitalization and advanced models. Challenges such as interoperability issues, poor data quality, lack of standards, skills gaps, and resistance to change continue to hinder adoption and full utilisation. Overall, benefits are not perceived to spring only from the adoption of digital tools, but from the integration of tools into more unified processes that require skilled professionals, clear standards, and strong leadership. The results also show that the benefits of digitalization are often considered to be indirect, stemming from process improvements rather than direct cost savings. The findings suggest that realizing the full potential of digitalization requires organizational leadership, a fairer distribution of benefits, systematic training, and industry-wide progress in standards and productivity measurement.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2025.1741095</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2025.1741095</link>
        <title><![CDATA[The socio-technical gap: an AI framework for project resilience in UK construction]]></title>
        <pubdate>2026-02-16T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Jawed Qureshi</author><author>Kiran Rai</author>
        <description><![CDATA[The UK construction industry faces persistent productivity deficits, with performance 21% below the national economy average. This stems from fragmented Artificial Intelligence (AI) adoption, where dynamic scheduling and proactive risk management operate as isolated systems. Through a Systematic Literature Review following PRISMA 2020 guidelines, this study analysed 60 peer-reviewed papers (2009–2025) to investigate integration barriers and develop a conceptual solution. The review synthesised AI applications in scheduling optimisation and risk management, data integration enablers, and socio-technical adoption barriers. The primary contribution is an Integrated AI Project Control Framework featuring a Risk-to-Constraint Translation Engine that automatically converts heterogeneous risk signals into machine-readable scheduling constraints, establishing continuous feedback loops for adaptive project control. The framework addresses UK-specific challenges through modular design, BIM Framework alignment, and human-in-the-loop interfaces. A key limitation is that the framework remains conceptual, requiring empirical validation through prototype development and live deployment testing.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2025.1727219</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2025.1727219</link>
        <title><![CDATA[Redefining façade renovation studies: ten building blocks from ten case studies to reuse façade products]]></title>
        <pubdate>2026-02-12T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Ruben Van Vooren</author><author>Esther Geboes</author><author>Waldo Galle</author>
        <description><![CDATA[Circularity is increasingly recognized as a strategy for sustainable façade renovation. However, actual reuse of façade products remains rare, limited to pioneering projects that overcame recurring challenges. This paper analyzes ten recent façade renovation projects to identify actionable levers (i.e., actions, considerations and process tools to overcome recurring challenges) enabling reuse. Through qualitative coding of actions observed in the case studies, we distilled 30 levers into ten building blocks that should guide practitioners. In addition, the documentation of the case studies in ten project sheets could inspire practitioners and could serve as a starting point for other researchers using different lenses. Together, our findings contribute a practical framework to shift from a tabula rasa approach to façade renovations to one that values existing products.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2025.1653188</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2025.1653188</link>
        <title><![CDATA[Robotics and automation safety risks in construction]]></title>
        <pubdate>2026-02-09T00:00:00Z</pubdate>
        <category>Review</category>
        <author>G. Scott Earnest</author><author>Douglas B. Trout</author><author>Ci-Jyun Liang</author><author>Asa Castleberry</author>
        <description><![CDATA[Evolving technologies such as robotics and automation have the potential to transform the American construction industry. While these technologies improve productivity and safety, they also introduce new safety risks to construction workplaces. This study conducts a scoping review to identify and analyze safety risks associated with robotics and automation in construction. Literature data was collected from the Scopus database using keywords and snowballing approaches. Following PRISMA-ScR, A total of 104 peer-reviewed articles and 33 industry and government reports between 2015 and 2025 were selected based on criteria related to construction robots and safety implications. From the literature data, robotic applications were categorized into eight groups and safety risks were categorized into four categories. A cross-cutting analysis found that mechanical and psychosocial risks dominated across all robotics and automation technologies. Risk mitigation strategies were proposed based on the analysis results. Integrating worker safety and health priorities early in the workplace transformation process, including risk mitigation strategies such as job hazard analysis, while applying the hierarchy of controls, and prevention through design strategies for each of these technologies, may help protect and enhance construction worker safety and health.]]></description>
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