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Megaprojects can play a crucial role in achieving Sustainable Development Goals (SDGs) and tackling Global Challenges. However, they are often criticized for their massive resource consumption, poor cost/time performance and significant social-environmental impacts, including irreversible environmental damage. This study aims to chart the evolution of research on megaprojects sustainability and to offer a roadmap for future developments.

This study adopted a systematic literature review (SLR) to identify emerging themes and gaps. This study follows a three-step process of planning, conducting and reporting, based on the Tranfield approach. The overview of megaprojects sustainability research was captured through bibliometric analysis. In addition, content analysis was carried out to reveal the development of this field and get an insight into the future directions towards sustainability transition.

This study provides a longitudinal, in-depth analysis of megaprojects sustainability studies. Drawing on sustainability science and project management theories, we introduce a three-dimensional analytical framework consisting of sustainability, scope and stakeholder. This framework explains the evolution of megaprojects sustainability research from sustainability of megaprojects, to sustainability for megaprojects and then to sustainability by megaprojects. Three future avenues are proposed: (1) SDGs orientation at multi-level; (2) scope enlargement at temporal and spatial scales and (3) inclusive development for stakeholders.

This research contributes to the literature by providing a comprehensive and forward-looking analysis of megaprojects sustainability research. The framework and three research agendas provide a comprehensive picture of megaproject sustainability research; the agenda for future research is intended to inspire more studies and disruptive actions towards sustainability transition.

The purpose of this study is to explore how to select a suitable supply chain collaboration paradigm (SCCP) based on the intelligent manufacturing model (IMM) of enterprises.

Given the fit between internal collaboration and external collaboration, we propose a model to select a suitable SCCP based on two-sided matching between SCCPs and IMMs. In this decision problem, we invited five university scholars and seven related consultants to evaluate SCCPs and IMMs based on the regret theory, which is used to obtain the perceived utility and matching results. The evaluation values are comfortably expressed through probabilistic linguistic term sets (PLTSs). Also, we set the lowest acceptance threshold to improve the accuracy of matching results.

The findings indicate that the characteristics of IMMs can significantly influence the selection of SCCPs, and an SCCP is not suitable for all IMMs. Interestingly, the study findings suggest that the selection of SCCP is diverse and multi-optional under the constraints of IMMs.

Existing studies have explored supply chain collaboration (SCC) in Industry 4.0 to improve supply chain performance, but less attention has been paid to the impact of the match between SCCPs and IMMs on supply chain performance. And even fewer studies have addressed how to select a suitable SCCP in different IMMs. This study provides a unique contribution to the practice of SCC and expands the understanding of supply chain management in Industry 4.0.

Prefabricated construction has been rapidly developing and intensifying the reliance on the supply chain. The pandemic of COVID-19 induced severe disruptions to the supply chain operation and thus attracted the research attention on the supply chain resilience (SCR) under various events. Assessing the resilience of the prefabricated construction supply chain (PCSC) is essential for surviving the shifting disruptive attacks and ensuring consistent, reliable operation. Based on the ripple effect and supply chain performance (SCP), this study aims to develop an assessment model for SCR of PCSC.

Having identified the roles and material flows among stakeholders, a PCSC network is established. Utilizing the ripple effect model, it develops an assessment framework tailored for PCSCs, which then evolves into a comprehensive assessment model for evaluating the SCR by integrating the disruptive influence and the pre-and post-disruption SCP. Case study is then applied to validate the model.

Using SCP metrics and disruptive influence assessment as basic dimensions, the SCR can be assessed and expressed through a vector formula. Operating costs and asset utilization can effectively reflect changes in resilience, paying attention to their real-time changes can provide a better judgment of the current stage of disruptions.

The assessment model of SCR accounts for the ripple effect within prefabricated construction, offering a thorough understanding of how disruptions impact the entire supply chain network. Additionally, this model introduces a novel approach to evaluating SCR in reverse by leveraging SCP metrics instead of direct measurement, thereby minimizing potential biases.