Purpose: Support vector machines (SVMs) ensemble has been proposed to improve classification performance of Credit risk recently. However, currently used fusion strategies do not evaluate the importance degree of the output of individual component SVM classifier when combining the component predictions to the final decision. To deal with this problem, this paper designs a support vector machines (SVMs) ensemble method based on fuzzy integral, which aggregates the outputs of separate component SVMs with importance of each component SVM. Research design, data, and methodology: This paper designs a personal credit risk evaluation index system including 16 indicators and discusses a support vector machines (SVMs) ensemble method based on fuzzy integral for designing a credit risk assessment system to discriminate good creditors from bad ones. This paper randomly selects 1500 sample data of personal loan customers of a commercial bank in China 2015-2020 for simulation experiments. Results: By comparing the experimental result SVMs ensemble with the single SVM, the neural network ensemble, the proposed method outperforms the single SVM, and neural network ensemble in terms of classification accuracy. Conclusions: The results show that the method proposed in this paper has higher classification accuracy than other classification methods, which confirms the feasibility and effectiveness of this method.

Purpose: With the rapid development of China's e-commerce industry, the express delivery industry is also advancing by leaps and bounds. While express brings convenience to people's life, a large number of express packages are disposed of at will, which not only increases a large amount of domestic waste, but also causes environmental pollution and waste of resources. Therefore, express packaging recycling has become a consensus in all fields of society. Research design, data and methodology:According to the characteristics of express packaging recycling, other variables were introduced into the TPB model proposed by AJZEN, and based on previous literature research and research assumptions, a model of influencing factors of consumer behavior in express packaging recycling was constructed. Results: The results show that in addition to reward factors, other factors have a significant positive impact on the respondents' willingness to recycling. Conclusions: In order to enhance consumers' willingness to recycle express delivery and effectively carry out express packaging recycling, the following suggestions are put forward: the government should formulate a comprehensive express delivery recycling policy, strengthen policy publicity, and standardize consumers' express packaging recycling behavior. Improve consumers' awareness of express packaging recycling, and promote the increase in the scale of express packaging recycling.

Purpose: In the manufacturing sector, VDI (Virtual Desktop Infrastructure) offers advantages to the organizations, such as allowing manufacturers access to the system from any location. The most important things are understanding what the user needs, avoiding under-provisioning, network preparation. This research is to provide useful practical l implementations of VDI in manufacturing industry based on numerous prior studies. Research design, data and methodology: This research has conducted the qualitative content analysis (QCA). When conducting this research, the present author assumed that it is crucial to create the procedures and processes that will be used to acquire the text data needed to structure or solve problems. Results: According to the prior literature analysis, there are five suggestions to implement successful VDI for manufacturing sector. The five solutions are (1) Creation of the machines, (2) Direct users to an available 'Virtual Machine', (3) 'Virtual Machine Power Management', (4) Performance monitoring, and (5) Review security. Conclusions: The research clearly details how VDI can be implemented on a manufacturer platform and how it can be connected to hundreds of users. The author can conclude that connecting hundreds of users can be done using the remote connection of devices and encourage manufacturers to work from different areas.

Purpose: The advantages of corporate social responsibility (CSR) include stronger recognition and reputation, which lead to a company's good public image, increased customer loyalty, operational cost saving, and employee retention. The purpose of the present research is to take a close look at the association between CSR and organization's value. Research design, data and methodology: The authors tried to obtain the high-quality textual data from mostly peer-reviewed journals using a PRISMA ((Preferred Reporting Items for Systematic Reviews and Meta-Analyses). The authors was to figure out adequate solutions from limited range of the current literature (only peer-reviewed research) regarding CSR and corporate value. Results: Our investigation indicates that CSR is essential to all businesses as it ensures they keep in touch with society, retaining top personnel, and achieving top financial success. Companies and organizations can engage in four corporate social responsibility initiatives to increase value, including environmental projects, charitable work, honest labor practices, and volunteer activity. Conclusions: An organizations should be involved in the community and consider how its actions affect the environment and society. Small or large businesses are expected to lead in developing a progressive CSR program that benefits people and the environment and continuously changes depending on the social and economic environment.

Purpose: Smart city has been observed to benefit most urban areas in different nations. Despite its advantages in the promotion of environmental sustainability and improving business competency in the current context, various literature review papers should be introduced to analyze its drawbacks. The present research aims to provide valuable suggestions for sustainable smart cities development. Research design, data and methodology: Using the qualitative content analysis (QCA), the current author could understand the target audience's motivations and habits by gathering data. This implies that the author may predict the kinds of future initiatives. As a result, the current researcher could ensure developed pertinent research questions and a well-planned method for analyzing the replies. Results: The implementation of green city development suggests encouraging the greening of public spaces and reducing heat from the atmosphere caused by the emission of gases from vehicles and companies. Smart cities are offering a new industrial paradigm that is based on the convergence of information technology. Conclusions: The projection illustrates that most people are migrating to the cities, which calls for an immediate transformation to overcome the immense pressure of making the city accessible, sustainable, prosperous, and safer. Therefore, implementing smart cities within the current world promotes efficiency and increases business sustainability.