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The return behavior of customers has a great impact on the e-retail industry and has resulted in the emergence of return-freight insurance (RI). Additionally, customer loss aversion arising from returns affects e-retailers' decisions and manufacturers' profits. Therefore, the main purpose of the authors' study is to determine how e-retailers and manufacturers choose their RI strategy and pricing according to customers' loss aversion.

The authors propose three scenarios: no RI, customer purchase RI and free e-retail RI (FRI). Meanwhile, the authors also model a Stackelberg game between e-retailers and manufacturers for analysis. Then, according to customer return behavior and loss aversion, the authors study the optimal pricing decision and RI premium allocation scheme for e-retailers and manufacturers under different scenarios.

It was found that the loss sensitivity reduces customers' willingness to buy RI, which is not conducive to the development of e-retailers and manufacturers. Additionally, with higher loss sensitivity, e-retailers and manufacturers offer FRI to gain higher profits, which supports the implementation of the FRI strategy.

The authors introduce customers' loss aversion into RI to analyze the optimal pricing decisions and profits of e-retailers and manufacturers, enriching the application of loss aversion theory. In addition, this study analyzes the two-way cost-sharing mechanism between manufacturers and e-retailers to provide FRI, which provides a theoretical basis for RI premium sharing.

Previous research has advanced in two-stage construction project productivity (CPP) evaluation by integrating site efficiency (SE) in the delivery and utilisation effectiveness (UE) in the post-delivery stages. The literature has separately addressed the factors affecting these three constructs. However, the interrelationships among them are rarely discussed together. This study aims to systematically identify the influencing factors of CPP, SE and UE and disentangle interrelationships among the three constructs.

The paper first reviews the literature about the two-stage project productivity evaluation framework for government construction projects. Then this paper proposes hypotheses regarding the relationships between the three constructs and identifies influencing factors associated with the constructs. Based on questionnaire survey from over 200 government construction project professionals in China, the structural equation modelling is adopted to validate the hypotheses.

The paper provides empirical insights that CPP can be directly influenced by UE to a large extent but indirectly impacted by SE through its effects on UE. The findings indicate that CPP is not a simple sum of SE and UE, and consequently reveals the complex, non-linear and indirect relationships between SE and CPP.

Future research should further extend the timeframe boundary to merge the pre-delivery stage (e.g. design and planning), findings of which may propose a more generalised understanding and reduce the bias resulting from pre-delivery activities.

This paper contributes to construction facility management literature by explaining the mediating role of UE on the relationship between SE and CPP. Therefore, this paper offers practitioners an integrated management logic in strategically combining project and facility management into government project management.

The purpose of this study is to enhance the safety and comfort of tourists in scenic areas undergoing renovation and transformation by developing a comprehensive safety assessment model that takes into account both internal and external factors affecting tourist and construction safety.

The research employs a multi-level tourist-construction interaction safety assessment index system, which is constructed through a deep analysis of factors such as the construction environment, tourist behavior and safety signs. The study utilizes game theory in conjunction with three main objective and subjective weight distribution methods to determine the weights of the index system, ensuring the objectivity and effectiveness of the assessment results. The cloud model and cloud generator are applied for the language transformation of the indicators, leading to a comprehensive assessment of construction safety.

The survey results indicate that the safety risks of the case project are relatively high, with limited impact of time segments on safety risks, and the risk level during weekends is slightly higher than on weekdays, but the difference is not significant. Among the reviewed influencing factors, compliance with safety signs and the proportion of people crossing construction areas are the factors with the highest risk level, representing a large number of tourists ignoring safety guidance and forcibly crossing construction areas, facing construction dangers, posing a great challenge to safety management.

This study offers a novel methodological approach to safety risk assessment in similar environments, contributing to the field by improving the systematicness and scientific nature of safety management. It provides a scientific assessment tool for the safety management of tourists in scenic area renovation projects, aiming to achieve the dual objectives of tourist safety and construction efficiency.