Failure mode and effects analysis (FMEA) is an analysis tool for identifying and preventing flaws or defects in products during the design and process planning stage, preventing the repeated occurrence of problems, reducing the effects of these problems, enhancing product quality and reliability, saving costs, and improving competitiveness. However, FMEA can only analyze one influence factor according to its priority, rendering this method ineffective for systems containing multiple FMs whose effects are simultaneous or interact with one another. Accordingly, when FMEA fails to identify the influence factors and the factors being influenced, the most crucial problems may be placed in lower priority or remain unresolved. Decision-Making Trial and Evaluation Laboratory (DEMATEL) facilitates the determination of cause and effect factors; by identifying the causal factors that should be prioritized, prompt and effective solutions to core problems can be derived, thereby enhancing performance. Using the photovoltaic cell manufacturing industry in China as the research target, the present study combined FMEA with DEMATEL to amend the flaws of FMEA and enhance its effectiveness. First, FMEA was used to identify items requiring improvement. Then, DEMATEL was employed to examine the interactive effects and causal relationships of these items. Finally, the solutions to the problems were prioritized. The proposed method effectively combined the advantages of FMEA and DEMATEL to facilitate the identification of core problems and prioritization of solutions in the Chinese photovoltaic cell industry.

In recent years, marine cultural tourism, an emerging tourism mode, has become more and more popular among tourists, and demonstrates broad market prospects. However, Chinese marine cultural tourism is still in the development and growth stage, and the level of customer satisfaction is uneven. The improvement of the customer satisfaction level is conducive to meeting customers’ demands in marine cultural tourism and enhancing the competitiveness of Chinese marine cultural tourism. Based on theoretical research and the practical situation of marine cultural tourism, this paper implements empirical investigation and research into customer satisfaction in marine cultural tourism in Shanghai, China. According to the research results, it proposes improving the level of customer satisfaction in Chinese marine cultural tourism from the perspectives of ocean culture tourism promotion, customer satisfaction evaluation, service level management and environment construction of scenic spots, tourism branding and the marine cultural accomplishments of tourists, so as to promote the sustainable development of marine cultural tourism.

Low-carbon logistics meets the requirements of a low-carbon economy and is the most effective operating model for logistic development to achieve sustainability by coping with severe energy consumption and global warming. Low-carbon logistics aims to reduce carbon intensity rather than simply reduce energy consumption and carbon emissions. Human resources are an important part of the great competition in the logistics market and significantly affect the operations of enterprises. Performance evaluations of human resources are particularly important for low-carbon logistics enterprises with scarce talents. Such evaluations in these enterprises are of great significance for their strategic development. This study constructed a human resource performance evaluation system to assess non-managerial employees’ low-carbon job capacity, job performance, and job attitude in the low-carbon logistics sector. The case study results revealed that the investigated company enjoyed initial success after having promoted low-carbon concepts and values to its non-managerial employees, and the success was demonstrated by excellent performance in its employees’ job attitude and knowledge. This study adopts the AHP method to reasonably determine an indicator system of performance evaluation and its weight to avoid certain human-caused bias. This study not only fills the gap in the related literature, but can also be applied to industrial practice.

Individual microcredit loans involve large quantities and small amounts and necessitate rapid approval, therefore making simple and fast application approvals rather critical. Creditors must evaluate clients’ credit status and default risk within the shortest time when determining whether to approve or decline their applications, preventing overdue responses that negatively impact bank profits and management practices, and could trigger domestic financial crises. This study investigates client credit quality criteria, focusing on the expert opinions of bank managers. The decision-making trial and evaluation laboratory method is adopted to enable a comparison and analysis of the similarities and differences in how banks evaluate their clients’ character, ability, financial capability, and collateral. Based on causality and correlations among the criteria, we also identify the core problems and key improvement criteria in the evaluation system. Through survey results of professional managers from Taiwanese banks, this study uses the DEMATEL method to compare the differences in bank evaluation methods based on the four dimensions of clients’ character, ability, pockets, and collateral, as well as the corresponding 14 criteria. In order to improve the reliability and usefulness in bank client credit risk assessment, the assessment dimensions and indicators of bank client credit risk assessment are first discussed; second, the causal relationship and degree of mutual influence between different dimensions and criteria are researched and assessed; in the end, the paper discusses how to improve the function and the benefits of bank client credit risk assessment.

Marine tourism embodies a sustainability paradox: high economic value coexists with ecological harm. Yet how macro-level policies shape pro-environmental intentions among transient, socially disembedded tourists remains unclear. Integrating institutional signaling theory with the Theory of Planned Behavior, we analyze survey data from 413 coastal visitors in China. The results reveal an asymmetric mediation pattern: marine policy influences intention primarily through behavioral attitudes and, to a lesser extent, subjective norms, while perceived behavioral control, though a direct predictor, does not mediate this relationship. This highlights a key boundary condition of TPB in low-embeddedness contexts, where institutional signals substitute for absent social ties by activating cognitive pathways. Practically, we propose a tiered governance pathway—attitude-focused messaging at digital touchpoints, normative feedback at entry points, and visible on-site infrastructure—to translate policy into observable actions, advancing both theory and practice in sustainable marine tourism.

Green technological innovation is important to the sustainable development of manufacturing. As a core driver of transition toward sustainable production patterns, green innovation helps firms reduce environmental externalities while maintaining economic competitiveness. Drawing on the Resource-Based View and the Knowledge-Based View, this study examines the association between digital-transformation disclosure and green technological innovation using 16,231 firm-year observations for Chinese A-share listed manufacturing firms from 2015 to 2022. Green technological innovation is measured by green patent applications, and the baseline specifications use negative binomial models with year and industry fixed effects, province-clustered standard errors, and a full control set that includes firm size. Digital-transformation disclosure is positively associated with green patent applications. Parallel-mediation estimates and province-clustered Bootstrap confidence intervals identify significant indirect effects through inter-organizational knowledge flow, R&D expenditure intensity, and the R&D personnel share. In terms of point estimates, the R&D personnel indirect effect is the largest of the three, followed by knowledge flow and R&D expenditure; however, only the R&D personnel versus R&D expenditure difference is statistically significant, and the three channels are better characterized as complementary. The difference between the knowledge-flow and R&D-expenditure effects is marginally significant. The hypothesized inverted-U moderating pattern of market competition is not statistically significant in the preferred specification with industry and year fixed effects. Split-sample estimates show directional heterogeneity across region, ownership, and firm size, but formal interaction tests do not reject equality of the digital transformation disclosure coefficients across groups. These results document robust associations rather than definitive causal effects and highlight the complementary roles of knowledge recombination, R&D expenditure, and technical personnel in green patenting. These findings carry implications for sustainability-oriented research and management practice by documenting channels through which digital-transformation disclosure is associated with green patent activity in the manufacturing sector.