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Prefabricated building has emerged as a hallmark of modern construction industrialization and a pivotal driver of industrial upgrading. In this new building type, the supply of high-quality prefabricated components plays a crucial role in ensuring project quality, cost-effectiveness and on-time completion. Consequently, selecting the optimum suppliers for these components is vital. This study provides valuable insights for construction enterprises, guiding them in the optimal selection of prefabricated component suppliers and thereby contributing to the sustainable development of the construction industry.

The entropy weight method is used to integrate and rank 19 commonly used evaluation indices, forming a supplier evaluation system from the enterprises perspective. Subsequently, the VIKOR multi-attribute decision model, combined with a comprehensive evaluation method based on cloud modeling, is applied to identify the most suitable suppliers through case study.

The findings emphasized that product quality, particularly the component compliance rate, is paramount in supplier selection. Additionally, companies should prioritize cost management and fundamental supplier capabilities, such as transportation efficiency and operational flexibility, while fostering strong partnerships with high-quality suppliers. Furthermore, all stakeholders need to enhance the supply chain’s responsiveness and adaptability, ensuring these improvements are achieved without strict cost controls.

This study minimizes the influence of subjective biases from decision-makers’ by integrating quantitative and qualitative analysis methods, thereby enhancing the comprehensiveness and accuracy of evaluations. By effectively addressing the fuzziness and uncertainty inherent in evaluation data, it establishes a robust system for selecting prefabricated building suppliers. This approach offers reliable and practical decision support, providing theoretical backing for enterprises in choosing prefabricated component suppliers and promoting the sustainable development of the prefabricated construction industry.

This study aims to investigate the factors that affect the tourists’ intention to visit “Libraries + cultural tourism (LCT)” and enhance the quality of LCT to attract tourists.

An online survey was conducted with 249 LCT tourists in China. By integrating LCT characteristics into the stimulus-organism-response framework, a research model was developed to examine the factors that predict tourists’ intention to visit LCT. The research model was tested using AMOS 24.0.

The results show that social function significantly influences tourists’ flow experience, which in turn affects their intention to visit LCT. Entertainment function and knowledge seeking function have significant impacts on tourists’ social presence, flow experience and perceived knowledge value, which further affect their intention to visit LCT. Flow experience is the strongest predictor of visit intention than social presence and perceived knowledge value. In particular, social presence, flow experience and perceived knowledge value partially mediate the relationships between LCT functions and tourists’ visit intention.

This study contributes to the LCT literature by identifying key factors that drive tourists’ intention to visit LCT projects. The findings have practical implications for enhancing the popularity of LCT.

Green consumption is conducive to global sustainable development. This study aims to explore how social norms (i.e. descriptive norms and injunctive norms) impact green consumption attitude and behavior. It examines the mediating role of impression management and the moderating role of self-construal.

We conduct two online experiments to collect data. A total of 1,070 Chinese consumers participate in Study 1. Study 2 involves 541 Chinese consumers.

The results show that descriptive norms and injunctive norms stimulate consumers’ impression management, which then promotes green consumption attitude and behavior. When an individual is more predisposed to interdependent self-construal, descriptive norms are more effective in activating impression management and then affecting green consumption attitude and behavior.

Social norms are an effective intervention measure for green consumption. Its influence process is complex. However, previous studies mainly identified the mediating role of personal norms. Other mediating mechanisms and boundary conditions are still unclear. This study identifies the mediating role of impression management and the moderating role of self-construal. It sheds new light on how social norms impact green consumption.