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Large-scale projects are the typical delivery model in the engineering and construction industry, with their very own characteristics. Even though well established, only 1 in 1,000 large-scale projects is successful (Flyvbjerg, 2011). A lack of effective supply chain risk management (SCRM) has repeatedly been identified as one of the main causes. While the SCRM body of knowledge seems increasingly well established, a lack of effective methods meeting the specific requirements of large-scale projects can be observed.

This paper presents a structured and prioritized view on the supply chain risk portfolio in this sector: first, the authors identified and categorized the key supply chain risks in the recent literature. Next, the authors surveyed large-scale project managers across multiple industries, mainly coming from the domains of supply chain management and project management. Finally, the authors provide a contextualized risk taxonomy for engineering, procurement and construction (EPC) projects.

The identified risk portfolio deviates from generic projects significantly and shows a very high inherent risk exposure of large-scale projects. In particular, behavioral risks are identified as crucial. Additionally, a bias to considerably underestimate risks at project beginning is found.

The contextualized SCRM taxonomy offers a systematic and structured view on the key supply chain risks in EPC large-scale projects. The identified risks are considerably different in their characteristics compared to generic projects or classical SCRM approaches. The authors thus provide a new perspective on SCRM in this specific setting and complement traditional risk and project risk management techniques.

In recent decades, infrastructure has continued to develop as an important basis for social development and people's lives. Resource management of these large-scale projects has been immensely concerned because dozens of construction enterprises (CEs) often work together. In this situation, resource collaboration among enterprises has become a key measure to ensure project implementation. Thus, this study aims to propose a systematic multi-agent resource collaborative decision-making optimization model for large projects from a matching perspective.

The main contribution of this work was an advancement of the current research by: (1) generalizing the resource matching decision-making problem and quantifying the relationship between CEs. (2) Based on the matching domain, the resource input costs and benefits of each enterprise in the associated group were comprehensively analyzed to build the mathematical model, which also incorporated prospect theory to map more realistic decisions. (3) According to the influencing factors of resource decision-making, such as cost, benefit and attitude of decision-makers, determined the optimal resource input in different situations.

Numerical experiments were used to verify the effectiveness of the multi-agent resource matching decision (MARMD) method in this study. The results indicated that this model could provide guidance for optimal decision-making for each participating enterprise in the resource association group under different situations. And the results showed the psychological preference of decision-makers has an important influence on decision performance.

While the MARMD method has been proposed in this research, MARMD still has many limitations. A more detailed matching relationship between different resource types in CEs is still not fully analyzed, and relevant studies about more accurate parameters of decision-makers’ psychological preferences should be conducted in this area in the future.

Compared with traditional projects, large-scale engineering construction has the characteristics of huge resource consumption and more participants. While decision-makers can determine the matching relationship between related enterprises, this is ambiguous and the wider range will vary with more participants or complex environment. The MARMD method provided in this paper is an effective methodological tool with clearer decision-making positioning and stronger actual operability, which could provide references for large-scale project resource management.

Large-scale engineering is complex infrastructure projects that ensure national security, increase economic development, improve people's lives and promote social progress. During the implementation of large-scale projects, CEs realize value-added through resource exchange and integration. Studying the optimal collaborative decision of multi-agent resources from a matching perspective can realize the improvement of resource transformation efficiency and promote the development of large-scale engineering projects.

The current research on engineering resources decision-making lacks a matching relationship, which leads to unclear decision objectives, ambiguous decision processes and poor operability decision methods. To solve these issues, a novel approach was proposed to reveal the decision mechanism of multi-agent resource optimization in large-scale projects. This paper could bring inspiration to the research of large-scale project resource management.

Digital library managers are faced with growing pressure to digitize materials efficiently on a larger scale. This paper aims to address the staffing and other resources needed to evolve smaller scope operations into teams capable of outputting larger-scale production.

Much of the current literature focuses on philosophy of these projects and issues of metadata and user access. In contrast, this article seeks to supply the much-needed practical information for digital library managers who need to take immediate action to meet new mandates and reach higher target goals within the constraints of limited resources.

The author will provide an overview of resources needed to increase digitization output and provide an analysis of three key resources that can be targeted by digital library managers in a range of environments. These resources will be examined with practical advice given on how new staffing configurations, outsourcing of materials and high-efficiency equipment can be implemented in phases.

This paper examines the gap between smaller-scale digitization and successful large-scale projects, and offers several possible scenarios for organizations to consider as they choose to move forward in a way that suits their goals. The focus of this study is neither on the rationale for large-scale digitization nor on the detailed specifications for large-scale digitization workflows. Rather, it will outline the types of resources (internal and external), decision points and specific practical strategies for digital library managers seeking to start ramping up the production.

The purpose of this paper is to show how effective project team communications is one of the major challenges to a construction project's success. The success of large‐scale construction projects is critical to Chinese economy. The purposes of the research are to grasp the current status of communications in large‐scale construction projects in China and lay a basis for further research on project communications.

A survey was conducted by postal questionnaire and telephone.

Through analyzing the data obtained from the survey, the communication problems in large‐scale construction projects in China are exposed. The roots of the problems are summarized as lack of good communication mechanism, weak organizational structures of construction teams, lack of uniform standards for construction information, and lack of support for advanced communication technologies.

The paper presents the directions for further research to improve communications in large‐scale construction projects in China.

The complexities in strait-crossing cable-stayed bridge project are increasing the risks. This study aims to identify and analyze the significant and worth-considered construction risks of the first, biggest and longest spanned strait-crossing bridge project in Indonesia.

As many as 32 risk events were identified and determined as the risks that exist and can be represented in the Suramadu bridge project context. Data was collected through a design-based questionnaire disseminated to experts involved in the project as well as semi-formal interviews. Several quantitative methods were applied to analyze the significant risks, such as relative importance index, Spearman’s rank correlation test and Mann–Whitney U test.

The analyses reveal that “unexpected natural behavior” confirmed by both contractor and consultant parties is the most significant and crucial risk event. Another risk event found to be significant is the “delayed payment.” On the other hand, it is also found that several risks within the legal category are found to be less significant compared to other major risk events.

The results of the present research should be interpreted in the context of several limitations. Given these possible concerns regarding the generalizability of the findings, along with the relatively low rate of participants in the current research, additional studies are needed to provide a more complete picture of stakeholder perceptions who are involved directly in the construction environment as well as to identify more construction risks specifically in the large-scale bridge project.

This study has provided fundamental contributions to the body of knowledge and practical implication to promote and assist decision-makers toward developing a comprehensive risk assessment of a large-scale bridge project.

The analyses of outcomes and discussion, as well as the findings of this research, have shed light on the construction risks understanding, which contributes to delivering a theoretical framework for achieving large-scale bridge project success.

Sexual health is insufficiently addressed in health care and higher education, which can lead to lower quality of life and negative health outcomes. To improve the situation, it is necessary to address both the needs of patients and professionals and collaboratively engage in finding sustainable solutions. The purpose of this paper is to explore the feasibility and value of large-scale digital coproduction in higher education.

A study of a project that developed seven interprofessional, digital master-level courses covering different topics related to sexual health. The project was performed through digital coproduction in higher education, with over 100 persons with various backgrounds working together online in designing content and novel digital learning activities.

Large-scale digital coproduction in higher education is feasible and valuable, but the process demands sensitive leadership, understanding of coproduction processes and willingness to learn from each other. To meet the demands from practice it is important to understand the complexity, ever-changing and unpredictable working life changes which, in turn, demands engagement in continuous learning, training activities and the need for formal education.

The study provides learning of the feasibility of the value of large-scale digital coproduction in higher education, which is a novel way of working in higher education.

This study investigates the impact of large-scale teaching in higher education on students’ preparedness for the workforce within the context of evolving labour market demands, the expansion of higher education and the application of high-impact teaching strategies. It synthesizes perspectives on employer work readiness, the challenges and opportunities of large-scale teaching and strategies for fostering a dynamic academia-industry feedback loop. This multifaceted approach ensures the relevance of curricula and graduates’ preparedness while addressing the skills gap through practical recommendations for aligning teaching methodologies with employer expectations.

The research methodically examines the multifaceted challenges and opportunities inherent in large-scale teaching. It focuses on sustaining student engagement, maintaining educational quality, personalizing learning experiences and cultivating essential soft skills in extensive student cohorts.

This study highlights the critical role of transversal skills in work readiness. It also uncovers that despite its challenges, large-scale teaching presents unique opportunities. The diversity of large student groups mirrors modern workplace complexities, and technological tools aid in personalizing learning experiences. Approaches like peer networking, innovative teaching methods, real-world simulations and collaborative resource utilization enrich education. The importance of experiential learning for augmenting large-scale teaching in honing soft skills is emphasized.

This manuscript contributes to the discourse on large-scale teaching, aligning it with employer expectations and the dynamic requirements of the job market. It offers a nuanced perspective on the challenges and opportunities this educational approach presents, providing insights for crafting engaging and effective learning experiences in large cohorts. The study uniquely integrates experiential learning, co-creation in education and industry-academia feedback loops, underscoring their importance in enhancing student work readiness in large-scale teaching.

The purpose of this paper is to examine the impact of the land acquisition phase and site assembly of land for large scale infrastructure road projects and its impact on property owners. A review of one of the largest roadwork projects currently underway in Sydney Australia demonstrates the adverse impact that has resulted in property owners challenging the approach used by government to acquire land for this project. Similar case studies are used to set out the key measures that should apply internationally in mitigating challenges from property owners in the land acquisition phase. It further shows that while adequate statutory provisions are important, it is the practices of acquiring authorities that ultimately determine the success and expedition of this initial important phase of these projects.

In measuring the factors that impact the acquisition of land by negotiation in contrast to acquisition by compulsory taking, a case study methodology is used. In this approach, the author reviews two completed projects and the factors that contributed to their success. These are contrasted with the primary case study currently underway in Sydney, the WestConnex project in which a number of adverse factors have emerged that have impacted this project. The review of these cases examined provides options for reforms that should be adopted both in the WestConnex case and across projects internationally.

It is demonstrated that the impact of the land acquisition phase on property owners with limited ability to rehouse within the same or surrounding locations, results in increases to challenges. This factor has prompted increases in the number of cases that have proceeded to court and potentially impacts the public perception and site assembly phase of large scale road projects. The inability for impacted property owners to relocate themselves has resulted in a breakdown in the ability for acquiring authorities to achieve acquisition by agreement. This is evidenced by significant increases in the number of properties that have been acquired by compulsion since 2016. It is found that the operational provisions of the land acquisition processes were obsolete in NSW, particularly those leading up to acquisition that was originally designed to assist owners. The paper finds that the most important phase of a megaproject is the planning and consultation phase, which includes most importantly the way in which impacted owners are informed, assisted and compensated. It is concluded that the processes engaged in by acquiring authorities rather than the statutory provisions available, will determine the success of the land acquisition phase and perceptions of the project.

The primary contribution of this paper is defining the changing landscape that has led to the adverse impact on property owners in the site assembly process for large scale projects. It identifies the reforms that will enhance opportunity for owners to relocate and rehouse which will expedite the acquisition phase of megaprojects and restore acquisition by agreement rather than by compulsion. This in turn will contribute to improve public perception of large scale projects in urbanised locations.

The purpose of the study is to enhance understanding of the relationships among team emotional intelligence (EI), trust in team, conflict in team and team performance.

A sample of 389 team members from 84 project teams in large-scale construction projects was surveyed.

Findings showed that team EI is positively associated with team performance. In addition, trust and conflict in the team mediate the association between team EI and team performance.

The ability to perceive one’s own and others’ emotions significantly increases the likelihood of team performance by increasing trust in a team and reducing conflict. Therefore, managers can use these findings to boost team performance and reduce conflict in their teams.

This research contributes to the better understanding of the relationship between team EI and team performance in large-scale construction projects. In addition, this research is an empirical investigation into the mediation variables linking EI to team performance.

To address requirements and specifications of construction project, academics need to build a project classification model. In recent years, project success concept, particularly on large-scale construction projects, has been a controversial issue, especially in developing countries. Hence, in this paper, after introducing a sustainable success index (SSI), a novel method called “rough set approach” had been adopted to induce decision rules and to classify construction projects. The paper aims to discuss these issues.

At first, 20 effective success factors and 15 success criteria based on three pillars of sustainability of economy, society and environment had been categorized. The research data used for analysis had been collected from 26 large-scale construction projects in Iran and five other countries. After collecting data collection, observations had been analyzed and 51 decision rules were generated, and the projects were classified. Eventually, in order to evaluate the performance of the generated rules, confusion matrix was applied, and the model was validated.

The results of the present study show that rough set theory (RST) can be an effective and valuable tool for building expert systems. Practical applications of these results along with limitations and future research are described.

Perhaps for the first time, in the present study, a number of large-scale construction projects are classified based on SSI. Applying RST for building rule-based system and classifying projects in construction project area are novel attempts undertaken in this paper. The rules induced in this study can be applied to develop a sustainable success prediction model in the future studies.