Supply Chain Finance for Targeted Poverty Alleviation: A Case Study of Suning

The sudden emergence of ‘COVID-19’ in 2020 has tightened traffic control in various places, which has posed a huge challenge to the agricultural product supply chain. This research introduces the perspective of supply chain finance, uses in-depth case study methods, and takes Suning’s agricultural supply chain finance as an example to discuss how e-commerce companies relying on big data adopt agricultural supply chain finance practices to promote accurate poverty alleviation. By analyzing Suning’s four agricultural supply chain financial operation models, we find that the internal and external stakeholders of the enterprise are the driving factors for enterprises to adopt agricultural supply chain finance, and the adoption of agricultural supply chain finance measures has brought economic benefits and social benefits to enterprises benefit. Advanced big data tools, fintech and cooperation with other partners are necessary to adopt agricultural supply chain financial measures.

The Effect of Open Innovation Implementation on Small Firms’ Propensity for Inbound and Outbound Open Innovation Practices

Small- and medium-sized enterprises (SMEs) face limited resource capability to implement open innovation. Understanding a robust mechanism of knowledge management, organisational structure, and networks can benefit managerial and organisational drivers to achieve open innovation in general. The paper sheds the new light in developing the open innovation implementation as a latent endogenous variable influence inbound OI and outbound OI. We used structural equation modelling (SEM) on a data set of 636 Thai SMEs. The results reveal that open innovation implementation reflected by managerial and organisational dimensions has a positive impact on contributing to both inbound and outbound OI. A key finding is that open innovation’s diffusion helps SMEs to overcome their technological capabilities to implement OI.

Environmental Awareness and Adoption Intention of Electric Cars in Young Adult

The world is being heavily polluted, which is contributing to many natural disasters. Attempts are being made to come up with innovations that lessen the impact of pollution. Electric cars are one such innovation. Here we investigate the awareness of and decision making about buying electric vehicles among 204 young adults. We propose that consumer decisions related to several factors, which include global warming, air pollution, electric cars, travel and socialization, green self-identity of young adults, and intentions on the use of electric cars. This research was able to show that independent variables can affect consumer awareness and decision making towards the purchase or adoption of electric cars.

Barriers and Facilitators of Front Identification in China’s Pork Traceability System

The identification is the sole carrier of the whole-process information of the pig traceability system. The front identification is the first component, an indispensible part of the proper traceability of the product. This paper conducts in-depth study on company B, company S and company Z from Beijing, Shandong and Zhejiang to understand their specific management process, cooperation model and interest allocation, identification method, willingness to implement, the cost and benefit before and after the implementation as well as the effect of the implementation. The Cannikin Law is also employed to conduct the comparison analysis on the implementation of the system, so as to set an example for the pig traceability system in other relevant companies of the sort. The results show that, the organization model plays the most important part in the front identification management, with “company + bases + farmers” as the most conducive mode for the implementation of front identification yet not prone to be promoted; “company + cooperative + farmers” is more apt to promotion. Other important impact factors of the implementation level of front identification in pig traceability system include the education level of the implementation subject, the scale and the location of the company.

Factors Influencing Farmers’ Willingness to Pay for Weather Index Insurance Through Fuzzy-Set Qualitative Comparative Analysis: Insights from a Pilot in Jiangxi Province, China

Weather index insurance plays an important role in helping farmers avoid their economic loss from weather risk. There is increasing numbers of pilot areas of weather index insurance in China while the studies show its take-up has been disappointing low in many other developing countries. This study aims to explore the status of weather index insurance and its processing problems in China through the factors influencing farmers’ willingness to pay for Low-Temperature Index-based Mandarin Orange Insurance in Nangfeng County. The Fuzzy-Set Qualitative Comparative Analysis is conducted for the influencing factors, including strike level, premium, pay-out, planting cost, effect of low temperature, insurance claim process, trust in insurance and government subsidy. The result shows the combination of expensive premium, low payout, high planting cost, low government subsidy and distrust in insurance company causes farmers’ unwillingness to pay for Low Temperature Index-based Mandarin Orange Insurance, among which distrust is core factor. Expensive premium, low payout, high planting cost and low subsidy from government are main influencing factors.

Research on the Path of Data Literacy Cultivation for College Students

The theoretical and practical achievements in domestic studies on data literacy are summarized by bibliometric analysis and network investigation in aspects of the connotation of data literacy, requirements of data literacy, assessment of data literacy and education of data literacy with suggestions proposed for working out the policies of data management and data literacy education, implementing the embedded data literacy education, designing the data literacy teaching contents and constructing the data culture.

Strategies for Managing Shocking Global Crises in a Disruptive Environment: Proposal for a Intelligence Management Model

The high global vulnerability revealed by the current pandemic confirms the existence of a very threatening and disruptive environment. The development of new strategies is needed in response to the new shocking global disruptive crisis, analysing the use of new methodologies and digital tools for their early detection and prospective planning. This will allow the development of more proactive, effective, and efficient response plans, with minimal risks. The work considers the convenience of standardized use and optimisation of social welfare functions that integrate social, economic, and ecological variables and indicators, around the achievement of 17 Sustainable Development Goals of the UN 2030 Agenda, and 169 objectives associated with them.

The Internationalization of Oil&Gas Family Businesses

The internalization of family businesses – i.e. of the companies that implement it – can be stimulated by numerous reasons: one of these is linked to the target markets, not in terms of market development, but of resource to be used / exploited. What makes the oil companies distinguishing is that: they follow the territory and the exploitation of the underground resources, wherever they are in the world. In the Italian context, this characteristic of oilfield companies is very noticeable due to the scarcity of underground resources, which characterize our territory. We propose an empirical approach. It has been considered the case of a specific Italian Oil&Gas family firm. The study consists of: a first part, in which an analysis of the main economic and managerial literature, both national and international, was made (on internationalization, SMEs and family businesses, industrial districts, oilfield environment); a second part, in which an empirical analysis was developed: interviews have been conducted with the owners and top management of the company, in order to study and analyze the firm development strategies.

Study on the Profit Model in the E-commerce

E-commerce is an emerging industry. It has brought new opportunities for global economic development. The update of e-commerce technology and the improvement of e-commerce profit models promote the profitability of e-commerce enterprises. Nowadays too much emphasis was placed on theoretical teaching in the e-commerce courses. The courses lack case analysis for learners to better understand the actual situation of e-commerce. This study analyzed the profit model of existing e-commerce companies, and used case analysis methods to find the profit dilemma and effective breakthrough methods for the profitability of two typical B2C e-commerce companies. With disassembling specific e-commerce cases, this study completed the conversion of e-commerce courses from theoretical teaching to case teaching.

Development of Entering and Reporting Registration System Platform of the CAU Library in COVID-19 Epidemic Period

This article elaborates briefly development of entering and reporting registration system platform according to the requirements of the CAU Library to prevent and control the epidemic COVID-19. The development of the system are extremely significant in supporting the teaching progress of the university and protecting the users on the campus. It has clarified the system development principles and implement methods used in developing the system for facilitating the prevention and control of the epidemic COVID-19 on the campus including good compatibility, comprehensive user management permissions, perfect business processes, multi-mode login, and custom entering record data output. Based on the B/S model, various open source technologies such as LAMP architecture, Bootstrap and LayUI framework, AJAX technology, JSON data exchange format, combined with QR code technology are mainly adopted in developing the system after literature review. The major system functions are realized by five functional modules: user login, application management, QR code management, entering library record management and system management. Each module carries out strict operation control according to different use-permission of users. Compared with the traditional manual record management mode, the research result shows that compared with the traditional manual record management mode, the platform management mode of the library entering and reporting registration system has the advantages of high efficiency, convenience, accuracy and reliability which achieved 100% of the library entrance registration. Because of its strong practicability and high expansibility, it has been widely adopted by other colleges of the university and achieved very good expected results.