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The traditional Chinese culture has always emphasized the authority of leaders and their “top-down” influence over subordinates tangled with “bottom-up” management. Paternalistic leadership can both nurture and restrict growth in mega-construction projects, due to the unique consequences (i.e. positive vs negative implications) for project teams. Hence, the present study aimed to explore the impact of paternalistic leadership (PL), team members’ voice (TMV) and team resilience (TR) on the mega-construction project success (MPS) in China's Belt and Road Initiative (BRI).

A surveyed-based sample of project professionals (N = 563) directly linked with the BRI was employed for statistical estimations with partial least squares (PLS) structural equation modeling (SEM).

Paternalistic leadership styles, including authoritarian leadership (AL), moral leadership (ML) and benevolent leadership (BL), significantly influence the mega-construction project success in BRI. The findings empirically validated that both BL and ML increase the likelihood of mega-construction project success. However, AL could impose a threat through its underlying negative influence. In addition, leaders with benevolence and morality have a positive influence on TMV and TR, while leaders with authoritarianism signal a negative impact. Furthermore, both TMV and TR significantly and positively mediate the relationships between AL-MPS (Model-1), BL-MPS (Model-2) and ML-MPS (Model-3), respectively.

The present study is a groundbreaking endeavor that fills a crucial research gap by investigating mega-construction project success in the BRI through paternalistic leadership, project team members' voice and team resilience in a multi-mediation model. These novel findings offer valuable strategic insights for managing mega-construction projects in countries with paternalistic solid cultural foundations, enabling project managers to navigate cultural nuances and optimize megaproject outcomes.

Understanding the impact of project complexity on the mega construction project success will help improve the efficiency of project management. However, the influencing mechanism of project complexity on project success has not been clearly depicted. This paper aims to divide project complexity and project success into five dimensions, trying to explore the impact of different complexity combinations on mega construction project success.

This study applies the qualitative comparative analysis (QCA) method to find out the impact of the combinations of different project complexities on the every dimension of mega construction project success. First, 21 cases were interviewed and scored in five categories of project complexities and five aspects of project success. Second, with the QCA program, the combinations of different project complexities influencing every aspect of mega construction project success was obtained.

This research found that high organizational complexity or a combination of high environmental complexity and goal complexity can lead to serious schedule delays of mega construction projects, high technological complexity and goal complexity are important reasons for cost overrun, high technological complexity or a combination of high environmental complexity and low organizational complexity usually lead to low quality of mega construction projects, high goal complexity and cultural complexity are important factors affecting the key stakeholders' satisfaction and high technological complexity and environmental complexity are the reasons for the poor sustainability of mega construction projects.

This study clearly reveals the influencing mechanism of project complexity on mega construction project success, which can help the project managers to understand and assess the complexity of mega construction projects and accurately predict their negative impacts on the mega construction projects.

Green construction has begun implementing sustainable and environmentally friendly practices, but there has not yet been an assessment for green construction supply chain risks in the literature. Identification and assessment of potential risks will result in more appropriate risk mitigation strategies to overcome disruptions affecting higher performance. Thus, this study aims to identify green construction supply chain risks of residential mega-projects.

Interpretive structural modeling (ISM) provided a hierarchical model composed of seven layers that elucidated the driving influences between the elements. Matrice d’impacts croises-multiplication appliqúe an classement (MICMAC) analysis classified the elements into the driver, linkage and dependent variables based on their dependence and driving powers, providing a clearer understanding of risk factors and their influential characteristics. Using experts' knowledge and experience is compatible with the subjective nature of ‘supply chain risks’ and is more suitable while collecting pertinent quantitative data which is far more challenging.

Tenable output, using an international expert group, addressed key risk factors. Technical expertise and skilled labor, key customers, and corporate culture are found as elements with most driving power, and the final product and logistics coordination and supply chain configuration found as the most dependent risk factors. Managerial implications addressed the most fundamental risk sources and suggested practical proactive risk management approaches to maximize green supply chain performance.

Identified supply chain oriented key risk factors of the residential green mega projects add novelty to the context of green construction projects' supply chain management. And eliciting the influential relations of the key risk factors provide a bigger picture of key risks in green residential mega projects that can be extended by sub-risks related to process activities. Assessing supply chain risks' interactions in the context of green residential mega projects is a novel contribution to mega construction-project management's body of knowledge. Also, the key risk factors were categorized based on the characteristics known as driving power and dependence.

The construction industry encounters substantial challenges in its evolution towards sustainable development and to the adoption of building information modelling (BIM) technology and lean construction (LC) practices on construction mega-projects. This study aims to present critical challenges and to investigate the interactions of BIM and LC on construction mega-projects encountered by key stakeholders in their efforts to integrate BIM and LC.

A qualitative research approach is adopted to introduce and validate LC principles and BIM functionalities resulting from a detailed analysis of extant literature, followed by a conceptual analysis of the interactions between BIM and LC on construction mega-projects. A quantitative questionnaire survey is then used. Descriptive and inferential statistical tests are used for data analysis, and analysis of variance tests elaborate and validate results.

The research yielded ten BIM functionalities and ten LC principles, which are categorised in four principle areas and four BIM functionality groups. A research framework for analysis of the interaction between BIM and LC is then compiled.

Research findings and the proposed framework will enhance the adoption of BIM and LC practices on construction mega-projects and allow project key stakeholders to place emphasis on tackling crucial challenges and barriers identified in this research. The framework will guide and stimulate research; and as such, the approach adopted up to this point is constructive. The identified interactions between BIM and LC on construction mega-projects show positive synergies between the two.

Failures in both followership and leadership become inevitable as mega construction projects are directed and controlled by toxic leaders. Consequently, team member's desire for knowledge hoarding silence is triggered and goal alignment between the leader and team members suddenly fades away to realize success in mega projects. Considering the growing importance of these rarely examined constructs and fragmented literature on toxic leadership (TL), team silence and mega project success (PS) in the global construction industry, the present study aimed to examine the effects of TL and project team member's silence (PTMS) on the success of mega construction projects. Moreover, the mediating influence of PTMS to link TL and mega construction PS has also been explored.

Drawing on survey data of 326 project professionals directly associated with mega construction projects worth US$62bn under the China–Pakistan Economic Corridor (CPEC), the conceptual model was tested with covariance-based structural equation modeling (CB-SEM) using Mplus program. Scales were adapted from previous research to measure TL (with its five-dimensions including abusive supervision, authoritarian leadership, self-promotion, narcissism and unpredictability), PS (with its three-dimensions including project management success, project ownership success and project investment success) and project team members' silence. Reflective–formative second order assessments were specifically applied to measure the multi-dimensional nature of TL and PS, respectively.

Mplus estimations revealed that TL negatively influences PS, besides forcing a culture of silence among project team members. Interestingly, the relationship between TL and PS is also negatively mediated by the PTMS.

The present study's findings are derived from data of project professionals (N = 326) to examine success in megaprojects under the CPEC. Hence, these findings may be re-validated through future studies on similar megaprojects (e.g. China's Belt and Road Initiative (BRI) worth US$8tn) that may also be predicated by TL tendencies, silent cultures and high-stakes involved to seize PS.

Policymakers, construction practitioners and other key stakeholders (e.g. departmental heads/supervisors) can take advantage of this new evidence to better interpret the success paradox in mega projects, and to reduce the spread and long-term damage of TL on team members and eventually create opportunities for PS.

The present study's novelty is manifested within this first empirical evidence on TL that breeds team silence in underperforming mega projects. Notably, present study offers alarming evidence on mega projects that can be easily derailed from success, as they continue to suffer from team silence and TL.

Best value procurement (BVP) has been recognized for some time as offering significant opportunities to advance process excellence in the construction sector. As an innovative approach to strategic procurement, BVP has attracted attention from the New Zealand (NZ) Government. It has similarly been found that the most substantial benefit of this modified approach to procurement is in value creation and innovative organizational processes through identifying “best value.” Yet to date, there is a lack of robust evidence as to how BVP can exactly influence construction innovation. Accordingly, this paper aims to explore how to improve BVP implementation to promote construction innovation and what are the values to be achieved in BVP mega projects from the view of innovation.

Semi-structured interviews with 22 participants, including project managers, procurement specialists, engineers and general managers from three organization types, were conducted to explore BVP implementation in a range of mega construction projects in NZ.

Barriers to BVP implementation and value innovation have been identified in this paper. Data analysis suggested traditional mindset in the procurement process, market constraints, mistrusts and fuzzy definition of BVP are the challenges for BVP implementation; BVP cultivates organizational competition because of diverse collaboration models and value attitudes; and BVP considers more values from the whole supply chain. To promote innovative construction, existing BVP should consider adopting progressive enhancements toward updating procurement guidance, encouraging effective communications, collaborating and promoting changes in stakeholders’ mindset.

Identified barriers to BVP implementation set up a platform for framing guidance, which could provide an effective approach as it enables a better understanding of what BVP means to NZ and what needs to be overcome. Taking this into account, similar small size markets around the world would be able to consider the applicability of BVP for innovative improvements.

This paper provides insights into value concepts in project procurement. It theoretically and practically possesses originality in linking BVP to innovative construction. The study of BVP and its application further reveals the importance of establishing a distinct regulation and fostering organizational competition from value aspects to achieve construction innovation.

This study aims to examine the impacts of formal and informal hierarchical governances (HGs) on the performance of mega-projects and the mediating role of contractor behavior (i.e. perfunctory and consummate behaviors) in these relationships.

A total of 375 valid data entries from managers representing 375 mega-projects were analyzed through path analysis.

Both formal and informal HGs exert positive effects on the performance of mega-projects. While formal HG positively affects contractor perfunctory behavior and contractor consummate behavior, informal HG affects contractor perfunctory behavior only. Contractor behavior mediates the relationship between formal HG and project performance.

The impacts of potential moderators (e.g. institutional arrangement and complexity) on the relationship between HG and contractor behavior have not been considered in this study.

This study is useful for owners to enhance formal HG to improve contractor perfunctory and consummate behaviors, which in turn can enhance the performance of mega-projects.

This study expands the knowledge of mega-project performance management from the perspective of HG. It also contributes to the literature of contractor behavior within the context of mega-projects.

The owners of mega projects typically assemble multiple academic research units and enterprises to form an innovation alliance, which carries out knowledge transfer and knowledge creation targeting technical challenges in the process of engineering construction. Due to high technical and management complexity of mega projects, factors affecting knowledge transfer among innovation subjects are complex and diverse. This study proposes a mixed system dynamics (SD) method to build and simulate the process of knowledge transfer in mega projects innovation and analyzes the driving mechanism that enhances knowledge stock of enterprises and engineering innovation results.

First, this paper proposes a conceptual model for knowledge transfer in mega projects by adopting event analysis of the data gained from investigations and interviews. Then, a qualitative model of knowledge transfer that considers mutual influences of the owner, academic research unit and enterprises is developed. Based on that, mathematical relationship among variables of the qualitative model is determined and a quantitative model of knowledge transfer that considers heterogeneity of knowledge sender is built. Finally, simulation is achieved using Vensim software.

The factors affecting knowledge stock of enterprises are analyzed from three aspects: (1) the individual motives and capability of academic research units and enterprises; (2) the gap between academic research units and enterprises; (3) the heterogeneity of academic research units. The results show that the willingness and capability of knowledge reception by enterprises, specific knowledge transfer context such as relational distance and organization distance between academic research units and enterprises and academic research units with high knowledge stock have key influences on the knowledge stock of enterprises.

Factors affecting knowledge transfer within the alliance of innovation in mega projects and their correlations are highly complicated and difficult to determine. Despite massive investigations and interviews on many long-span bridges in China in this study, it is barely possible to directly obtain accurate data for all variables in the model. Limitations of historical data result in limitations on applications of the proposed model.

By building the mega projects knowledge transfer model and conducting simulation analysis, this paper has generated practical values for the owners of mega projects on fostering, organizing, coordinating and managing of innovations. Especially, this study provides specific strategies and suggestions on selection of innovation subjects, motivation and guaranteed efficiency of knowledge transfer and knowledge creation of academic research units and enterprises.

This study proposes a conceptual model for factors affecting knowledge transfer that applies to innovations in mega project context, which fills the gap in the research of knowledge management in mega project innovations. Additionally, combining with the method of SD, the unique role of owner in knowledge transfer of mega projects and the differences among various knowledge senders and their influences on knowledge stocks of enterprises are thoroughly considered, and the research method of modeling and simulation of knowledge transfer mechanism is supplemented and extended.

The purpose of this paper is to investigate critical success factors (CSFs) that enhance integration between building information modelling (BIM) and lean construction (LC) practices on construction mega-projects. BIM and LC have gained momentum in the past decade.

The Delphi survey technique was used to gauge opinions of a panel of 16 experts through a two-round Delphi questionnaire survey. Panel responses were scrutinised using inferential and descriptive statistical techniques.

In total, 30 CSFs were identified in the literature. The top ranked factor out of 30 that supports LeanBIM synergy was “collaboration in design, construction works and engineering management”. Other top rated CSFs were centric on people, data and technology elements. The research findings are important for project stakeholders, organisations, contractors, engineers and local authorities who implement LC and BIM synergies in construction mega-projects.

The research findings are important for project stakeholders, organisations, contractors, engineers and local authorities who implement LC and BIM synergies in construction mega-projects. The research recommends further hands-on training to increase the integration of BIM and LC practices in the architecture, engineering and construction industry and to enrich the extant body of knowledge in construction of mega-projects.

The construction industry encounters substantial challenges in its evolution towards sustainable development and in the adoption of building information modelling (BIM) technology and lean construction (LC) practices on construction mega-projects. This research aims to investigate the critical barriers encountered by key construction stakeholders in their efforts to integrate BIM and LC in the construction mega-projects.

A two-round Delphi survey shaped the foundation of aggregating consensus between an expert panel that examined a set of 28 barriers resulting from a detailed analysis of the extant literature. Descriptive and inferential statistical tests were exploited for data analysis, and interrater agreement analysis was used to elaborated and validate results.

The research concluded that the key barriers by descending order of significance are lack of mandatory BIM and LC industry standards and regulations by the government, resistance of the industry to change from traditional practices to LeanBIM, high cost of software licenses and training and running of BIM.

The research findings and the proposed mitigation strategy will enhance the application of BIM and LC practices in construction mega-projects and allow project key stakeholders to place emphasis on tackling the crucial challenges and barriers identified in this research.