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.

From the perspective of social network behavior, our paper discusses the relationship between agricultural entrepreneurial social network behavior and entrepreneurial financing performance in an Internet crowdfunding setting, and investigates the moderating role of entrepreneurial team size. In this paper, the data-mining method is used to capture and collate data regarding 7585 venture projects on an Internet crowdfunding platform between 2014 and 2017. Ordinary least squares (OLS) and Probit models are applied to the empirical test. The results show that first, compared with other industries, the effect of agricultural entrepreneurs’ quality information disclosure on entrepreneurship financing performance is lower, whereas the effect of their social network interaction is higher. Second, the entrepreneurial team size has a positive moderating role on the former and a negative moderating role on the latter. Our research is of significance for agricultural enterprises to raise their financial performance in Internet crowdfunding, especially for Chinese agricultural micro-enterprises.

With China’s rapid economic development, restructuring the economy will require a development model based on high-to-low carbon transition. The development of logistics enterprises has its own characteristics associated with the trend of low carbon. This article discusses the significance of structuring a human resource performance evaluation system for low-carbon logistics enterprises. We used an analytic hierarchy process (AHP) and triangle-definite weighted functions as the technology platform to determine the performance evaluation and measure corporate status quo. The results can serve as a reference for companies to make the best talent decisions and achieve long-term development strategies. In addition, this study helps to make up for a lack of relevant research in this area.

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.

Academic entrepreneurship (AE) models have enhanced the ability of scholars to delineate elements and relationships that are consistent with entrepreneurial activities. However, previous research has not focused on the dynamic feedback loops within AE. Prior models have seldom included feedback obtained from interrupted or implemented activities integrated with individual, organizational, and strategic variables. This paper proposes a model of AE from the perspective of system dynamics that seeks to explore key features of this complex process within the boundaries of a spinoff company. To achieve this goal, we developed a framework that includes four main phases: recognition, commitment, credibility, and sustainability. The model examines and analyzes the key role of innovative academic entrepreneurship during each stage. Feedback loops provide the link between strategic assessment and entrepreneurial renewal according to which AE integrates entrepreneurial and strategic efforts. Combining various perspectives from the previous literature, the proposed model can be activated from any point during the process. By introducing a system dynamics context for the model, this research expands upon the thinking of prior AE research. In practical application, our proposed framework provides insights into the feedback loops and other complexities of the AE process that academic entrepreneurs can apply to support the transfer of innovations in science and technology from academia to commercial settings.

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.