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The development of small- and medium-sized enterprises (SMEs) is vital to the economy, as such the financing of SMEs has become the focus of government and enterprises. The purpose of this paper is to find the operational and financial strategies of the supplier and retailer in supply chain.

In a Stackelberg game, supplier moves first setting wholesale price, while the retailer follows, setting the ordering quantity. Enterprises maximize their profits by optimization. When measuring profit targets, the capital constraints and income taxes of two companies are considered. In the portfolio financing model, the retailer can obtain products from suppliers through trade credit, and the supplier can use asset-backed securitization (ABS) to solve his/her financing problems.

The wholesale price is a decreasing function of retailer’s initial cash balance, and the supplier’s financing interest rate is a decreasing function of his/her own capital, the incentive effect of the supplier’s price discount strategy on retailer is more intense in the supply chain with high-priced product or high-capital retailer. And in a capital-constrained supply chain, an increase in tax rate or financing rate does not necessarily motivate the supplier to increase wholesale price. Most importantly, if the supplier’s markup is moderate, portfolio financing has value for both retailer and supplier, while solving the financing problems of both parties.

Future research can consider the explicit and implicit interest when supplier provides trade credit to retailer. It is also possible to consider the portfolio financing when multiple retailers are facing financial constraints.

It provides guidance for supply chain enterprises with financing needs, helping them find optimal decisions. With financial interest, enterprise income tax on the enterprises’ financing factors will produce a tax shield effect; thus, a cost–benefit analysis with the tax shield effect can provide more accurate picture when making corresponding decisions.

Government takes feasible adjustments of tax rate for the sake of motivation on financial SMEs tax shield. Furthermore, ABS calls for service from financial institutions, which will, in turn, expedite financial institutions revenue.

The authors provide insights on enterprise financing models, combining ABS with trade credit, expanding enterprise financing channels and enriching the theory of financial supply chain and supply chain management. The authors analyze in detail the influence of tax factors on enterprises by introducing tax factors into traditional process of enterprise operation and financing strategy.

The purpose of this paper is to examine the impact of renewable energy on the power supply chain and to study whether the renewable generator or the power grid that purchases power from the power spot market is better when the actual generation of renewable energy is insufficient. The authors want to compare and analyze the different power supply chain operation modes and discuss the optimal mode selection for renewable energy generator and power grid in different situations.

This paper studies the grid-led price competition game in the power supply chain, in which the power grid as a leader decides the price of transmission and distribution, and generators determine the power grid price. The renewable energy power generator and the traditional energy power generator conduct a price competition game; on the other hand, the power grid and power generators conduct Stackelberg games. The authors analyze the power supply of single power generator and two power generators, respectively, and research on the situation that the renewable energy cannot be fully recharged when the actual power generation is insufficient.

The study finds that both renewable and traditional power grid prices decline as price sensitivity coefficient of demand and installed capacity of renewable energy generators increase. Power grid premium decreases as the price sensitivity coefficient of demand increases, but rises as the installed capacity of renewable energy generator increases. When there is a shortage of power, if the installed capacity of renewable energy is relatively small and price sensitivity coefficient of demand is relatively large, the grid purchases the power from power spot market and shares cost with renewable energy generators, leading to higher expected profits of the renewable energy generators. On the contrary, the renewable energy generators prefer to make up power shortage themselves. For the power grid, purchasing the power by the renewable energy generators when there is a power shortage can bring more utility to the power grid when the installed capacity of renewable energy is lower and the demand price sensitivity coefficient is higher. When the installed capacity of renewable energy is high and the price sensitivity coefficient of demand is moderate, or the installed capacity of renewable energy is moderate and the demand price sensitivity coefficient is high, a generator that simultaneously possesses two kinds of energy source will bring more utility to the power grid. If the installed capacity of renewable energy and the demand price sensitivity coefficient both are small or the installed capacity of renewable energy and the price sensitivity coefficient of demand both are large, the power grid prefers to purchase the power by itself when there is a power shortage.

The goal of our paper analysis is to explore the implications of the theoretical model and address the series of research questions regarding the impact of the renewable energy on the power supply chain. The results of this study have key implications for reality. This paper sheds light on the power supply chain operation mode selection, which can potentially be used for the renewable energy generators to choose their operating mode and can also help traditional energy generators and power grid enterprises maximize their utility. This paper also has some references for the government to formulate the corresponding renewable energy development policy.

This paper studies the power operation mode under the uncertainty of supply and demand, and compares the advantages and disadvantages of renewable energy generator that makes up the shortage or the power grid purchases the power from power spot market then shares cost with the renewable energy generator. This paper analyzes the power grid-led coordination problem in a power supply chain, compares and analyzes the price competition game model of single power generator and dual power generators, and compares the different risk preferences of power grid.

The car-sharing market has entered the mature stage, and consumers' demand shows a diversified increasing trend. This paper considers two modes of operation and two pricing strategies, which are business-to-consumer and consumer-to-consumer modes, market pricing and platform pricing. Under these conditions, the platform's revenue-sharing ratio will be different. The purpose of this paper is to explore this research question, and seeks an optimal pricing mechanism that can achieve a win–win situation between platform and automobile manufacturer in the two market modes.

The authors design different profit functions for platform under the two contexts. Of course, the platform's function is constrained to the manufacturer's function. By introducing a revenue-sharing contract a Stackelberg game model dominated by the platform is established and the equilibrium solutions under the two pricing models are derived.

The study found that even if only market pricing is executed, the scale of the car-sharing market will continue to expand. As the car-sharing market becomes more saturated, platform pricing is better for the automobile manufacturer; in most cases, the platform prefers platform pricing, but when the number of private cars is relatively small, if the cost of car operation and maintenance for the automobile manufacturer is lower or the revenue-sharing ratio of private cars is high, then market pricing will be more favorable to the platform.

With the cross-border integration of car service platforms and the automobile manufacturing industry, the key to achieving win–win cooperation and sustainable development in the car-sharing market will converge on the question of how to design a suitable pricing mechanism and revenue-sharing method.

Authors have determined how a car-sharing platform achieves a win–win order pricing strategy with the manufacturer and private car owners, respectively. And authors combined the supply chain revenue-sharing contract with the car-sharing market to explore the application of the revenue-sharing contract in the sharing economy.

Although the wind power industry has been booming in China during the last decade, the development of wind turbine aftermarket service is still lagging behind, which seriously affects the operational efficiency of wind farms. If wind turbine manufacturers get involved in the aftermarket, the service pricing policy will impact the profits of both the manufacturer and the wind farm. Therefore, it is necessary to discuss an optimal service pricing strategy in the wind turbine aftermarket and design a method to improve electricity generation efficiency through service contract design. The paper aims to discuss these issues.

In order to decide the maintenance quantity and channel effort level, the authors design a normal Stackelberg game and an efficiency value-added revenue-sharing contract and discuss two kinds of revenue increment sharing models under situations, in which the supply chain’s leaders are the wind farm and the wind turbine manufacturer, respectively.

The results show that in either case, there exist optimal power generation revenue-sharing ratios that can maximize profit. At the same time, the authors outline an optimal service pricing policy, maintenance demand policy and channel service effort-level policy. The results summarize the influences of wind aftermarket services on wind farms’ and wind turbine manufacturers’ profit, which provides managerial insights into the process of manufacturing servitization.

The manufacturer’s channel effort level will influence the power generation increments very much, so the authors have developed a mechanism to stimulate the manufacturer improving the efficiency of aftermarket services.

Taking the power generation increment revenue as the profit increment function, the authors discuss the influence of service price on the profit increment of the wind farm and the wind turbine manufacturer and also consider the influence of service price on the wind farms maintenance quantity and wind turbine manufacturers channel effort level.

To promote the development of renewable energy, the Chinese Government adopts the policy of Feed-in Tariff and subsidy. However, the high purchase price and the intermittence limit the development of renewable energy source electricity (RES-E). The purpose of this paper is to discuss the pricing strategy for system operators to stimulate the development of the RES-E industry under the scenario of uncertain supply and demand.

The authors establish a two-echelon supply chain investment model led by a power grid operator considering the uncertainties in both demand and supply, and study the impact of the power purchase price designed by a system operator using Stackelberg’s model.

There is an optimal capacity for RES-E generators, that is, independent of the market demand. Besides, the optimal order of grid operators is independent of the uncertain RES-E supply and the purchase price of fossil fuel. By properly setting the purchase prices, the system operator can stimulate the capacity investment in renewable energy. Finally, increasing the punishment in power shortage can stimulate the capacity investment in RES-E under certain conditions.

The result of this paper can mitigate the phenomenon of power abandonment in the RES-E industry and promote the grid integration of RES-E.

Both uncertain demand and supply are considered in this paper. A heuristic algorithm is provided to compute the optimal purchase price combination.

The smart city process encompasses many features. The two chapters before this has succinctly introduced the concepts and some parts that relate to smart city. The process in implementation is dissected in this section of the book. It starts from the conceptualisation of the process to further definitions of the subject. Also, traits attributed to smart cities are explained in smart environment, economy, governance, living, people and mobility. Urbanisation brings along with it several features and terminologies. One of which is smartisation fused into the smart city process. The smartisation of the city system aim to bring developments in making the city wireless and developing smart families at the same time. Also, there are smart general administrations and improvement of social administrations, development of smart transportation, improvement of smart medicinal treatment, develop-ment of smart city administration, development of green city, and development of smart vacationer focus. Other smart city processes include the drivers, barriers, and benefits.

Abundance of cultural resources is a typical feature of traditional villages. It is particularly important to explore the development path of traditional villages from the perspective of cultural resources.

Based on symbiosis theory, establish a symbiotic development mechanism of traditional village characteristic cultural elements and use grey relation analysis (GRA) to evaluate the resource advantages of different cultural attributes. This paper proposes the traditional village development model of different symbiotic units in the county. An empirical study is conducted in conjunction with the national historical and cultural city of Xunxian County, Henan, China.

The results show that (1) according to the different attributes of humanistic cultural resources, artificial cultural resources and natural cultural resources in traditional villages, different symbiotic units can be divided, and advantageous resources can be shared through the symbiotic interface; (2) using GRA to calculate the grey relational degree between cultural resources sequence of different attributes and the sum of cultural resources sequence in the county and define as the active degree of humanistic culture, the inheritance degree of artificial culture and the integrity of natural cultural resources are shown to reflect the status of the inheritance of humanistic cultural resources, the existence of artificial cultural resources, and the protection of natural cultural resources; and (3) a comparative analysis of the active degree, inheritance, and integrity of each symbiotic unit leads to the proposal of three symbiotic models of folklore vitality, characteristic space, and natural ecology, all of which are beneficial to promote the formation of a symbiotic environment.

The main innovation of this paper is to put forward the research scale of symbiosis theory in the field of urban and rural planning at the county level, delimit the symbiosis units of traditional villages at the county level, complete the quantitatively evaluate cultural resources in different symbiotic units with GRA, revealing the symbiotic development mechanism of cultural resources characteristic elements in traditional villages.

The purpose of this paper is to investigate how to measure collaborative design performance and, in turn, improve the final design output during a design process, with a clear objective to develop a design performance measurement (DPM) matrix to measure design project team members' design collaboration performances.

The methodology adopted in this research uses critical literature reviews, in‐depth focus group interviews and a questionnaire survey.

The main finding of this study is a DPM matrix that addresses five DPM indicators: efficiency, effectiveness, collaboration, management skill, and innovation, and 25 detailed DPM criteria. It was found that decision‐making efficiency is the most important DPM criterion for collaborative design efficiency; plus delivering to the brief for effectiveness; clear team goal/objectives for collaboration; decision‐making ability for management skill; and competitive advantage for innovation.

As the present study was focused on exploring DPM during a design process, some key DPM criteria which are not measurable during a design development process were not included in this study. The proposed multi‐feedback approach for DPM matrix implementation needs to be validated in future research.

The DPM matrix can be applied to support a design manager in measuring and improving collaborative design performance during a design process, by reviewing and modifying collaborative design development, identifying the design team strengths and weaknesses, improving team communication, and suggesting suitable responsive actions.

The major contribution of this study is the investigation and development of a DPM matrix to measure collaborative design performance during a design process.

Psychological well-being is a central aspect of mental health, and it can be defined as the presence of enjoyment and fulfillment, as well as resilience. Different factors are critical in the tone and melody of language teachers’ psychological well-being. Cognitive emotion regulation (CER) pertains to the intentional cognitive strategies employed by educators in order to regulate and confront emotionally taxing content.

A quasi-experimental strategy was used in the present experimental analysis. A total of 87 EFL students were split into two groups: one to participate in the experiment and another to serve as a control. The control group of students got regular teaching without any changes or additions to their books.

Path analysis results demonstrated that cognitive emotion regulation and reflective teaching were able to accurately forecast the teachers' psychological well-being at the institution.

The study's results suggest that it is essential for teachers, including language instructors, to undergo training in cognitive emotion regulation and reflective teaching in order to ensure their psychological well-being.

To achieve an optimal level of CER, educators must be equipped with a repertoire of effective strategies to promote the necessary equilibrium. Reflective teaching encompasses the critical analysis of an educator's fundamental convictions about pedagogy and the acquisition of knowledge, as well as the evaluation of their teaching process. To date, no study reflects on the possible connections between these variables in a single study. In light of this, the focus of this study was to discover how reflective teaching and cognitive emotion regulation affect the psychological health of English as a foreign language (EFL) university professors.

This study examines how professional technicians' teaching styles and students' learning readiness affect cooking skills performance in culinary inheritance.

This study constructed a learning performance model from the situated cognition perspective using a sample of students at universities and vocational colleges on a professional technician course. A total of 4,000 questionnaires were mailed to students, of which 2,018 were returned.

Students regard technical professors as teaching experts and expect them to care for their learning, while professional technicians' knowledge sharing significantly increases students' learning performance. The findings provide insight into professional technicians' teaching styles for academics.

This study focuses on the situated cognition perspective and its correlation with students' learning performance and discusses professional technicians' knowledge sharing as an important influencing factor.