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This research aims to develop an approach to assess the reliability of integrated construction supply chains via an integrated model of building information modelling (BIM) and the lean supply chain (LSC). It reflects the synergistic workflow between BIM and LSC as a novel approach to improve the reliability of construction projects.

This research evaluates the reliability of the BIM-LSC approach through a combination of entropy theory, set pair analysis (SPA), and Markov chains (EESM). An exploratory survey was conducted to collect data from 316 industry professionals experienced in BIM and LSC. Subsequently, multiple cycles of calculations were performed with indirect data inputs. Finally, a reliability evaluation index is established for the BIM-LSC approach and potential applications are identified.

The results show that the EESM model of BIM-LSC developed in this study can handle not only supply chain reliability evaluation at a given state but also the prediction of reliability in supply chain state transitions due to changing project conditions. This is particularly relevant to the current environment of the construction project, which is characterised by an increasing level of complexity in terms of labour, technology, and resource interactions.

Future research could consider the accuracy and validity of the proposed model in real-life scenarios with by considering both quantitative and qualitative data across the entire lifecycle of projects.

The research offers a model to evaluate the reliability of the BIM-LSC approach. The accuracy of BIM supply chain reliability analysis and prediction in an uncertain environment is improved.

The BIM-LSC reliability evaluation and prediction presented in this study provides a theoretical foundation to enhance understanding of the BIM-LSC in the construction project context.

Given the heavy pollution feature of the construction industry, construction corporations need to adopt an effective environmental governance strategy. The quality and quantity of environmental information disclosure (EID) implementation, as an essential part of a corporate environmental governance strategy, is impacted by the characteristics of the top management team (TMT). This paper aims to analyze the relationship between the demographic characteristics of the TMT (i.e. gender, age, tenure, educational level, and duality) and corporate EID.

Using data from listed construction corporations generated between 2014 to 2018 in China, this study employs the Tobit regression model to test the research hypotheses. Also, this study applies a novel analytical approach, necessary condition analysis (NCA), to conduct a series of additional tests.

The results reveal that tenure and educational level are significantly and positively related to EID, while gender, age, and duality in the executive role are not significantly related to EID. When considering the TMT size as a moderator, the TMT age is positively related to the corporate EID, and the size of the TMT acts as a moderator to weaken the positive effect of the TMT age on the EID. The NCA results show that TMT gender, age, tenure, and educational level are necessary when the levels of EID exceed 40%.

Our findings suggest that TMT characteristics have a relatively significant effect on corporate EID levels, which extends EID research to the construction industry. Corporate planners can endeavor to shape TMT characteristics to improve EID levels. The results of NCA provide insights into what TMT characteristics construction corporations need to satisfy in their pursuit of transparent EID, as well as the levels at which these characteristics are desired.

Early termination of public–private partnerships (PPPs) in China is caused by various risk factors, resulting in significant losses. This study aimed to clarify the key factors and identify the causal relationships among these factors.

Social network analysis (SNA) was used to analyze 37 risk factors that were summarized from 97 early terminated PPP cases and to identify the relationships among these key risk factors. Interpretive structural modeling (ISM) was conducted to explore the causal relationships. Data were collected from case documents, questionnaires and interviews.

A total of 17 key risk factors were identified and distributed in a hierarchical structure with six tiers. Among these key risk factors, the root causes affecting the early termination of PPP projects were government oversight in decision-making, local government transition, policy and law changes and force majeure. The direct cause was insufficient returns. Furthermore, local government and private sector defaults were essential mediating factors. Local government transition and the low willingness of the private sector were highlighted as potential key risks.

The cases and experts were all from China, and outcomes in other countries or cultures may differ from those of this study. Therefore, further studies are required.

This research provides knowledge regarding the key risk factors leading to the early termination of PPP projects and guidance on avoiding these factors and blocking the factors' transmission in the project lifecycle.

This study contributes to the knowledge of risk management by emphasizing the importance of local government transition, the low willingness of the private sector and project cooperation and operation, whose significance is ignored in the existing literature. The proposed ISM clarifies the role of risk factors in causing early termination and explains their transmission patterns.

Despite the widespread study and application of public-private partnerships (PPPs) since the 1980s, the field lacks a universally accepted definition that captures the concept's complexity. This study aims to offer a definition and foster a more substantive and comprehensive discourse on PPPs to improve communication and understanding between academics and practitioners from diverse disciplines and legislative backgrounds.

Grounded in the family-resemblance concept proposed by German philosopher Ludwig Wittgenstein, this study conducts a comprehensive literature review to identify core and non-core elements frequently cited in PPP descriptions. The authors used these findings to develop the PPP sunflower model as a structured framework for defining PPPs.

The analysis elucidates six core elements consistently present in PPP descriptions: clarity of roles and responsibilities, appropriate risk allocation and sharing, injection of expertise and resources, cooperation and teamwork, a bundle of services, and long-term contracts. Coupled with identified non-core elements, these core components comprise the PPP sunflower model, a structured framework for defining PPPs that accommodates their multi-faceted nature.

The PPP sunflower model distinguishes itself as a unique contribution to the PPP literature. It offers a rigorous theoretical framework that can elucidate the complexity of PPPs for various stakeholders. The model serves as a practical tool for evaluating the authenticity and viability of PPP projects. The study's novelty lies in its adoption of the family-resemblance concept, thereby providing a comprehensive, multi-dimensional framework that enhances the understanding of PPPs across different disciplines and legislative contexts.

The purpose of this paper is to improve students’ problem-solving skills in civil engineering and construction management education.

The design includes structured role-playing as a pedagogical method in 21 project teams with a total of 82 undergraduate students at Chang’an University, China, in a nine-week Building Information Modeling (BIM) capstone course. The methodology is a teaching–learning experiment in a civil engineering education program with a detailed description of the empirical case and assessment instruments. The approach is to train project execution planning in a capstone course by role-playing with a real-world project using the procedures of the BIM Project Execution Planning Guide (PEPG) and process mapping.

The study finds that students can significantly improve their problem-solving skills through planning and role-specific communication during projects.

The research sample needs to be expanded from senior-level undergraduate students to consider the different backgrounds and motivations of students.

This pedagogy is helpful to educators who are interested in group learning with a real-world project; the procedures of BIM PEPG; self-chosen responsibilities within a capstone course time framework; raising the awareness of the importance of planning; information exchange; and team cooperation.

This paper fulfills an identified need to study how role-playing in information and technology rich environments can be structured.

Service-oriented innovation economies are becoming the new trend for the construction industry. Benchmarking the quality management level of developed countries and improving quality management are also becoming necessities for promoting innovation in the economy. The purpose of this study is to analyse the internal relationships between the five enablers of the European Foundation for Quality Management (EFQM) Excellence model, based on a market-oriented strategy, to serve as a framework for managing and improving quality.

Considering the different market environment and culture, this study refines the strategy enabler based on Zebal and Goodwin's (2011) Developing Country Market Orientation Scale, and builds a market-oriented EFQM Excellence model. Structural equation modelling (SEM) is used to analyse the results of a questionnaire survey of 683 China construction industry top enterprises to explore the internal relationships between the model's five enablers.

(1) “Leadership” has a positive influence on “Market-Oriented Strategy”, “People” and “Partnerships and Resources”; (2) “Market-Oriented Strategy” has positive influence on “Partnerships and Resources”; (3) “People” has a low influence on “Processes, Products and Services”; (4) “Partnerships and Resources” has a medium influence on “Processes, Products and Services” and (5) the relationships between “Market-Oriented Strategy” and “People”, “Partnerships and Resources” are not significant.

This study refines the strategy enabler of the original EFQM Excellence model with Zebal and Goodwin's (2011) Developing Country Market Orientation Scale. It also develops a market-oriented EFQM Excellence model that is suitable for developing countries, and it tests the implicit relationships of its five new enablers in an innovation environment where cultural differences exist.

Remotely piloted aircraft (RPA) systems have emerged as an established tool within the construction industry. Concurrent with this trend has been the rise in research on RPA, establishing this as a new field of study within the construction management domain. What is needed now is an assessment of the current state of research in this emerging discipline – its strengths and weaknesses – by which future research on RPA in construction may be guided. The purpose of this paper is to address this need.

A total of 59 peer-reviewed journal articles covering RPAs within the construction domain were systematically reviewed using a mixed-methods approach, utilizing qualitative-scientometric analyses techniques.

The results reveal a field of study in its fledgling stage, with a limited number of experts operating somewhat in isolation, from a limited number of institutions. Key publication outlets are identified, with the main focus of research being in the technical areas of remote sensing, photogrammetry and image processing.

The study benefits researchers and industry practitioners alike. For researchers, the identified gaps reveal areas of high priority in future research. For construction companies, particularly small to medium-sized businesses, the study raises awareness of the latest developments and potential applicability of RPAs in the industry.

The study exposes what is missing from current research: a broader consideration of organizational adjustments needed to accommodate RPA usage, economic analyses and impediments to wider acceptance.

This study aims to investigate the relationship between supply chain leadership, digital supply chain practices and corporate sustainability strategies on the sustainability performance of logistics firms in Nigeria, one of Africa’s largest economies. It indicates that collaborative efforts within the supply chain context can improve sustainability performance.

Data from 468 firms in a major sub-Saharan African market were collected through a structured questionnaire. The analysis used descriptive statistics, principal component analysis and hierarchical regression analysis. Factor analysis and Cronbach’s alpha analysis were used to assess the validity and reliability of the instrument.

The results of this study reveal significant findings: proactive sustainability strategies exert a substantial positive effect on sustainability performance (β = 0.694, SE = 0.025, p < 0.01). Even when proactive sustainability strategies are included in the model, the positive impact of reactive sustainability strategies remains significant (β = 0.694, SE = 0.025, p < 0.01: Model 5). Regarding the moderating role of proactive and reactive corporate sustainability strategies, there is a notable interaction effect between supply chain leadership and proactive sustainability strategies concerning sustainability performance (p < 0.05). This confirms the positive relationship between supply chain leadership and sustainability performance when proactive sustainability strategies are at a high level (β = 0.844, SE = 0.0010, p < 0.01), supporting H4 that this relationship strengthens with higher levels of proactive sustainability strategies. Conversely, for Hypothesis H5, the interaction effect of reactive sustainability strategies with supply chain leadership changes the relationship from significantly positive to significantly negative (β = −0.068, SE = 0.0009, p < 0.01). Using the Baron and Kenny approach to test mediation, the mediating effect of digital supply on digital leadership is significant (β = 0.345, p = 0.000, p < 0.01). Furthermore, the effect of digital supply on sustainability performance is statistically significant (β = 0.081, p = 0.006, p < 0.01), as is the effect of digital leadership on sustainability performance (β = 0.181, p = 0.000, p < 0.01). These results indicate a mediation effect of digital supply.

This study of logistic management has limitations, including its cross-sectional nature, which precludes the establishment of causality, thus necessitating longitudinal research to determine causal relationships. In addition, the focus on Nigerian firms, which vary significantly in their stages of learning and institutional development, emphasizes the need for further research in diverse contexts. Future studies should examine alternative institutional environments or developed economies to validate these assumptions. Another limitation is the potential for bias due to six employees rating their firms on each variable; therefore, using multiple data sources is recommended to objectively evaluate the validity of the self-reported questionnaire.

This study advises managers to exercise caution when selecting between proactive and reactive sustainability strategies to enhance sustainability performance. Proactive strategies reinforce the relationship between supply chain leadership and sustainability performance, while reactive strategies diminish it. Therefore, managers are encouraged to adopt more proactive strategies. This paper suggests that managers in emerging economies should recognize the distinct impacts of proactive sustainability strategies and allocate more resources toward them to improve sustainability performance, even in competitive markets. In addition, it highlights the importance of digital supply in fostering sustainability performance.

This study presents a novel perspective on the moderating role of corporate sustainability strategies in the relationship between supply chain leadership and the sustainability performance of logistics firms. It provides empirical evidence and fresh insights on proactive and reactive sustainability strategies for logistics firms in Nigeria. The findings highlight that proactive sustainability strategies enhance the connection between supply chain leadership and sustainability performance, whereas reactive strategies do not.

Cultural differences between employees of different nationalities are hindering the development of some transnational joint ventures. Describing and modelling the positive (or negative) factors that cause joint venture employees to accept (or reject) joint management business practices is of great value to all corporations operating abroad with locally sourced employees.

This study uses a Sino-Japan construction joint venture project as a representative case study. First, structural equation modelling is used to identify the factors influencing Chinese employees' acceptance of joint venture management practices. Then, a system dynamics model is adopted to simulate the time-dependent effects of the incentives.

The study results (1) indicate which incentives strongly affect employee acceptance of joint venture management practices; (2) identify inefficient management practices in cross-cultural joint ventures; and (3) provide evidence that the employees' perceptions of clear purpose, good working relationships and helpful mechanisms positively and directly also support their acceptance of joint management practices.

–A dynamic simulation method is used to analyse the influence of various incentive factors on employee acceptance of joint management. This provides unprecedented information regarding how these factors interact with each other, hence how their effectiveness varies (both positively and negatively) over time. Further findings also provide new ideas for joint venture managers to adopt more effective management methods.

This paper systematically presents a critical review of data envelopment analysis (DEA) for performance measurement in the construction field.

The review approach consists of a systematic literature search, validation analysis and content analysis. The paper systematically reviews previous papers according to the year of publication, journal, authors, region, research keywords, performance measurement indicators and methodology framework.

A total of 192 journal papers from the first year of publication to 2022 are identified. DEA applications have increased over the years, particularly after 2020. All of the top five journals which published the most identified papers are Q1 journals. Around 74 primary indicators of performance measurement are recognised for the construction industry, company and project levels. A total of 21 top keywords are identified and then divided into five clusters using VOSviewer. DEA has been widely utilised to measure construction performance and benchmark technologies, particularly where sustainable development performance has become a popular topic recently.

How to effectively distinguish performance indicators, collect research data, build DEA models and deeply analyse DEA results are illustrated for future practitioners. The performance measurement and improvement cycle based on DEA is provided. Research directions and method recommendations are developed for future scholars using DEA.

This is the first comprehensive review that has initially presented various performance indicators and a methodology framework for developing DEA models to investigate performance measurement in the construction field. The methodology framework of DEA is developed, including data collection, model construction and further analysis of DEA results.