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Generative Pre-Trained Transformer (GPT) language models such as ChatGPT have the potential to revolutionize the construction industry by automating repetitive and time-consuming tasks. This paper presents a study in which ChatGPT was used to generate a construction schedule for a simple construction project. The output from ChatGPT was evaluated by a pool of participants that provided feedback regarding their overall interaction experience and the quality of the output. The results show that ChatGPT can generate a coherent schedule that follows a logical approach to fulfill the requirements of the scope indicated. The participants had an overall positive interaction experience and indicated the potential of such a tool in automating many preliminary and time-consuming tasks. However, the technology still has limitations, and further development is needed before it can be widely adopted in the industry. Overall, this study highlights the advantages of using large language models and Natural Language Processing (NLP) techniques in the construction industry and the need for further research.

Industry 4.0 is a recent trend representing the vision for the integration of information, objects and people in cyber-physical scenarios in order to transform factories into intelligent environments. Although this transition is still ongoing, the corresponding vision of Industry 5.0 has already emerged. Industry 5.0 aims to bring the human factor back into the production system, with the collaborative work paradigm of human–robot collaboration (HRC) at its core. This paper first discusses how Industry 4.0 has conceptually evolved and is being implemented in the context of construction, through the lens of a literature review and bibliometric analysis. Additionally, it clarifies the scope of Industry 5.0 and assesses its momentum as a literature trend, drawing on bibliometric comparisons with the Industry 4.0/Construction 4.0 vision. Furthermore, it makes a realistic assessment of the potential of the Industry 5.0 paradigm to evolve into Construction 5.0. In this context, it reviews the prospects of HRC use in construction, highlights its distinct challenges and proposes new directions. This paper is, to the author’s best knowledge, the first consideration of ‘Construction 5.0’ and the first bibliometric analysis comparing data from Industry 4.0, Construction 4.0 and Industry 5.0 literature.

The Construction 5.0 paradigm is the next phase in industrial development that aims to combine the skills of human experts in partnership with efficient and precise machines to achieve production solutions that are resource-efficient and preferred by clients. This study reviewed the evolution of the Construction 5.0 paradigm by defining its features and diverse nature. It introduced the architecture, model, and system of Construction 5.0 and its key enablers: Operator 5.0, Society 5.0, human-centricity, sustainability, and resilience. The study used the SEM method to evaluate the research model and investigate the causal relationships among the key enablers of the Construction 5.0 paradigm. Nine vital hypotheses were proposed and assessed comprehensively. The critical enablers’ variables were measured to examine the constructs’ reliability and validity. The key findings showed that Construction 5.0 prioritizes collaboration between humans and machines, merges cyberspace with physical space, and balances the three pillars of sustainability (economy, environment, and society), creating a relationship among Operator 5.0, Society 5.0, human-Ccentricity, sustainability, and resilience. The study also discussed the limitations and challenges and offered suggestions for future research. Overall, Construction 5.0 aims to achieve sustainable development and become a robust and resilient provider of prosperity in an industrial community of a shared future. The study expects to spark debate and promote pioneering research toward the Construction 5.0 paradigm.

Progress and development in the overall industrial sector have been revolutionized by the advent of advanced digital tools and technologies, transitioning towards Industry 5.0 (I5.0), and the term Construction 5.0 (C5.0) is derived from the emergence of I5.0 in Europe. Given its currency, C5.0 remains a nascent and under-explored research area. This review article presents a bibliometric analysis of studies on C5.0, identifying and analyzing challenges and opportunities in its adoption and exploring the strategies to overcome such challenges and ways to maximize productivity from potential opportunities. Fifty-seven relevant documents were studied to accomplish the aim of this study, which were identified from the Scopus database, evaluated, and included based on the PRISMA framework. The findings showed a relatively small but growing body of literature on C5.0 research, which is disseminated globally and grouped into four specific objective categories. This pattern suggests a growing recognition of C5.0’s potential in the construction field, reflecting its expanding influence in the scientific community. Furthermore, the study examined seven critical challenges, including insufficient technological maturity, the absence of standardization, privacy concerns, ethical considerations, and more. It also explores four potential opportunities associated with the adoption of the C5.0 vision, emphasizing its alignment with societal objectives, sustainability initiatives, personalization, and profitability.

Artificial Intelligence (AI) is considered promising digital technology that has important opportunities for enhancing project oversight and delivering improved decision-making in the risk management domain. However, there is a limited amount of research that has evaluated AI tools’ performance in risk management. Therefore, with the intention of sustaining more accurate risk-based decision-making process in the construction industry, this paper investigates the accuracy of ChatGPT in risk management for different project types. In this context, Key Performance Indicators (KPIs) related to each risk management sub-process were determined, and then a questionnaire that consisted of prompt templates was prepared for collecting data from ChatGPT. Afterwards, ChatGPT’s responses were evaluated by experts with focus group sessions. The findings indicate that ChatGPT has a moderate level of performance in managing risks. It provides more accurate knowledge in risk response and risk monitoring rather than risk identification and risk analysis sub-processes. This research paves the way for future studies by demonstrating an implication of ChatGPT use for risk-based decision making. In addition, gaining insight into the precision of ChatGPT in the risk-based decision-making process will empower decision-makers to establish resilience in business operations through technology-driven risk management.

The construction industry is undergoing a paradigm shift with the advent of Construction 5.0 (C5.0), which integrates artificial intelligence (AI), the Internet of Things (IoT), digital twins, blockchain, and robotics to enhance productivity, sustainability, and resilience. This study conducts a systematic literature review and bibliometric analysis of 78 scholarly sources published between 2022 and 2025, using data from Scopus and following the PRISMA method. Keyword co-occurrence mapping, citation analysis, and content review are utilized to identify key advancements, emerging trends, and adoption challenges in C5.0. Seven core technologies are examined through the lenses of sustainability, human–robot collaboration (HRC), and resilience, revealing a rapidly expanding yet still nascent research domain. While C5.0 presents transformative potential, its widespread implementation faces significant barriers. A critical evaluation of these challenges is conducted, alongside strategic pathways to facilitate adoption and maximize impact. Furthermore, the leading countries and seminal contributions in the field are highlighted to guide future research efforts. By addressing knowledge gaps and industry trends, this study provides practical insights for policymakers, researchers, and industry professionals, contributing to the development of innovative frameworks that enhance efficiency, sustainability, and resilience in the era of Industry 5.0.

Developed nations noticed pivotal relevance of Construction 5.0 through various cutting-edge digital solutions, contributing to promoted progress control and various alleviated risks. This offered a road map for developing countries to implement such strategies for amended construction project management (PM). Out of all these breakthroughs, digital twin (DT), building information modeling (BIM), and the Internet of Things (IoTs) have been extensively introduced lately. Construction PM aims to organize complex enterprise tasks, alleviate delays and cost overruns, and reduce controversies that could cause court claims and lengthy disputes. This paper utilizes PRISMA to highlight diverse DT, BIM, and IoT implementation impediments in developing lands, providing key statistics, influential insights, and possible plans of action to adopt DT, BIM, and IoTs flexibly in construction. The PRISMA results revealed that DT supplies project managers with a clear image concerning potential opportunities and risks of construction projects before being executed. BIM enables full visualization of the project. It fosters influential collaboration and understanding among parties. It raises productivity. Cheap IoTs sensors can be installed at critical project locations to record real-time data and track the progress. Simulations can predict future progress scenarios from these data. Since construction has the low pace of digitalization globally, evidence-based practices are still needed. Thus, consultants, contractors, and project managers can adopt these dynamic Construction 5.0 tools.

With the movement of the construction industry towards Construction 5.0, Digital Twin (DT) has emerged in recent years as a pivotal and comprehensive management tool for predictive strategies for infrastructure assets. However, its effective adoption and conceptual implementation remain limited in this domain. Current review works focused on applications and potentials of DT in general infrastructures. This review focuses on interpreting DT’s conceptual foundation in the flexible pavement asset context, including core components, considerations, and methodologies. Existing pavement DT implementations are evaluated to uncover their strengths, limitations, and potential for improvement. Based on a systematic review, this study proposes a comprehensive cognitive DT framework for pavement management. It explores the extent of enhanced decision-making and a large-scale collaborative DT environment. This study also identifies current and emerging challenges and enablers, as well as highlights future research directions to advance DT implementation and support its alignment with the transformative goals of Construction 5.0.

The growing concept of Industry 5.0 (IR 5.0) has enhanced the study horizon of the technology-centered Industry 4.0 (IR 4.0) to an intelligent and balanced socioeconomic change powered mutually by people and technologies. The role of humans in the technological revolution is largely focused on IR 5.0, which is already a future trend. IR 4.0’s cyber–physical systems revolution has evolved into IR 5.0, or in other words, from machine-to-machine integration to human-to-machine integration, which is radically altering how people live, work, and interact with one another. Therefore, the current study aims to comprehensively review transformation through industrial revolutions and provide a way forward in the construction industry with the incorporation of IR 5.0. This study has used a narrative-based research methodology in which multiple databases such as Scopus, Web of Sciences, Google Scholar, and Science Direct have been utilized for extracting articles related to the subject area of the current study. Moreover, through narrative-based methodology, which is a generic-based review technique, the information gathered from multiple sources has been summarized and synthesized. The findings of the review indicate that resilience, human-centricity, economic efficiency, and sustainable development are the key characteristics of IR 5.0. Moreover, the adoption of IR 5.0 in the construction industry also faces some major challenges such as a shortage of IR 5.0-related technical skills, investment-hesitancy among investors, security, and cultural concerns for human-to-machine integration, and an unavailability of data for effective decision-making for governments and stakeholders. The study results also highlight that with selective technology adoption, project teams embracing IR 5.0 for improved collaboration and coordination, more environmentally friendly technology adoption through human-to-machine collaboration, and stakeholders leveraging the power of human knowledge and innovative proficiency through machines, reforms can be brought into the construction industry through the incorporation of IR 5.0. It is also important to keep in mind that adopting IR 4.0 is still difficult in some areas and it may seem like achieving IR 5.0 will require years of effort and significant cultural change; however, it needs to be considered right away. The effects of disruptive technologies on Industry 4.0 are covered in several studies; however, IR 5.0 is a novel idea that is still in its early stages, thus its consequences have not been well examined in the construction industry. Therefore, the current study has expanded the body of knowledge on this important subject in detail and has comprehensively explained the transformation by providing a way forward for the adoption of IR 5.0 in the construction industry.