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The authors intend to investigate the relations between corporate strategic positioning and environmental information disclosure (EID) behaviors in the context of the circular economy. The authors argue that the development of the circular economy is crucial to address environmental issues and achieve sustainable development, and companies play a vital role in this process as micro-entities. By examining corporate EID behaviors, the authors could understand their adoption of circular practices to a certain extent.

The authors conduct a content analysis of companies' annual fiscal reports, social responsibility reports and environmental reports and develop text-based proxies for both strategic positioning and EID quality to explore the relationship between them.

The authors find that corporate strategic positioning does affect corporate EID behaviors. Specifically, firms that implement a prospector strategy are more likely to engage in high-quality EID. Furthermore, the results suggest that green innovation is one of the mediators through which strategic positioning affects EID. Compared with defenders, prospectors are more likely to engage in green innovation, which, in turn, leads to higher-quality EID and demonstrates a more active approach to the circular economy.

This study contributes to the literature on strategic positioning and corporate EID by providing empirical evidence on the impact of corporate strategic positioning on EID behaviors. Moreover, the study employs a textual analysis approach to measure corporate strategy and EID, which is a relatively new research method in this field.

This study aimed to improve the financing credit evaluation for small and medium-sized real estate enterprises (SMREEs). A financing credit evaluation model was proposed, and a blockchain-driven financing credit evaluation framework was designed to improve the transparency, credibility and applicability of the financing credit evaluation process.

The design science research methodology was adopted to identify the main steps in constructing the financing credit model and blockchain-driven framework. The fuzzy analytic hierarchy process (FAHP)–entropy weighting method (EWM)–set pair analysis (SPA) method was used to design a financing credit evaluation model. Moreover, the proposed framework was validated using data acquired from actual cases.

The results indicate that: (1) the proposed blockchain-driven financing credit evaluation framework can effectively realize a transparent evaluation process compared to the traditional financing credit evaluation system. (2) The proposed model has high effectiveness and can achieve efficient credit ranking, reflect SMREEs' credit status and help improve credit rating.

This study proposes a financing credit evaluation model of SMREEs based on the FAHP–EWM–SPA method. All credit rating data and evaluation process data are immediately stored in the proposed blockchain framework, and the immutable and traceable nature of blockchain enhances trust between nodes, improving the reliability of the financing credit evaluation process and results. In addition, this study partially fulfills the lack of investigations on blockchain adoption for SMREEs' financing credit.