Dynamic decision and its complex dynamics analysis of low-carbon supply chain considering risk-aversion under carbon tax policy

This study establishes a low-carbon supply chain game model under the centralized decision situation and the decentralized decision situation considering the manufacturer risk-aversion behavior, and discusses the influence of the manufacturer risk-aversion behavior on the optimal decision, profit, coordination, and complex dynamics of the supply chain. We find that comparing with the risk-neutral decentralized decision, the increase of manufacturer's risk tolerance attitude can narrow the gap between the supply chain profit and the centralized decision, but it will further reduce the carbon emission reduction level. The increase of risk tolerance of the manufacturer and carbon tax will narrow the stable region of the system. Under this situation, the manufacturer should carefully adjust parameters to prevent the system from losing stability,especially the adjustment parameters for carbon emission reduction level. When the system is in a chaotic state, the increase of carbon tax rate makes the system show more complex dynamic characteristics. Under the chaotic state, it is difficult for the manufacturer to make correct price decision and carbon emission reduction strategy for the next period, which damages its profit, but increases the profit of the retailer and the supply chain. Finally, the carbon emission reduction cost-sharing contract is proposed to improve the carbon emission reduction level and the supply chain efficiency, achieving Pareto improvement. The stability region of the system is larger than that in the centralized decision situation, but the increase of the cost sharing coefficient will reduce the stability of the system in the decentralized decision-making situation.

E-Commerce Supply Chain Process Optimization Based on Whole-Process Sharing of Internet of Things Identification Technology

With in-depth development of the Internet of Things(IoT)in various industries,the informatization process of various industries has also entered the fast lane.This article aims to solve the supply chain process problem in e-commerce,focusing on the specific application of Internet of Things technology in e-commerce.Warehousing logistics is an important link in today’s e-commerce transactions.This article proposes a distributed analysis method for RFID-based e-commerce warehousing process optimization and an e-commerce supply chain management process based on Internet of Things technology.This article first introduces the advantages and disadvantages of shared IoT identification technology and the IoT resource sharing platform based on the three-layer abstract data model and representational state transfer(REST)style.Combining actual IoT applications and the characteristics of an existing platform,a REST-based IoT resource sharing platform is proposed.Combined with actual projects,a REST-based IoT resource sharing platform was built,and key technology experiments were conducted for verification.Finally,optimizing the e-commerce supply chain management process under Internet of Things technology and explaining the advantages of optimized e-commerce supply chain management are discussed.Research on this subject provides a theoretical basis for the application of the Internet of Things in e-commerce and has practical significance and practical value for managing service capabilities and service levels in e-commerce.

Financing Decisions Analysis of E-commerce Supply Chain Finance for Fresh Agricultural Products in China

The supply chain finance(SCF)solutions are becoming increasingly diversified with the continuous perfection of the economic system.However,financing for small and medium sized enterprises(SMEs)is still a difficult issue waiting to be solved by enterprises and the government in China.SCF solutions based on e-commerce platforms have developed rapidly in China that provide an alternative for SMEs when few studies have been conducted on e-commerce SCF solutions which focus on fresh agricultural products.Therefore,this research focuses on the SCF solutions applicable to e-commerce enterprises of fresh agricultural products.

Research of Order Allocation of E-commerce Logistics Service Supply Chain Considering Customer Evaluation

Based on the importance of customer evaluation for developing e-commerce enterprises,this paper analyzes the customer evaluation as a fuzzy variable and establishes a multi-objective mixed integer order allocation planning model by considering customer satisfaction,which maximizes customer praise and minimizes procurement cost.As the optimization goal,transaction cost is optimized for the order allocation of the secondary e-commerce logistics service supply chain.In order to defuzzify the customer evaluation,a fuzzy evaluation method is designed to transform the customer evaluation from fuzzy language evaluation to numerical measurement.Finally,the feasibility and effectiveness of the model are verified by using a specific example,and the order is made for the e-commerce enterprise.The allocation provides a theoretical reference.

Analyzing the Construction of the International Logistics Supply Chain Management Model from the Perspective of Cross-Border E-commerce

Cross-border e-commerce has progressively evolved with the deepening of economic globalization,and it now holds a significant place in the field of e-commerce.However,due to China’s late entry into the international logistics supply chain,there are issues such as complex environment,uneven information technology,and disagreements on standards,resulting in certain cross-border e-commerce disadvantages in China.Therefore,in this context,this study analyzes the construction of international logistics supply chain management model from the perspective of cross-border e-commerce,so as to provide some reference for the development of China’s international logistics supply chain.

A Study on the Application Model of B2B E-Commerce in the Agricultural Sector

There are two main application models of B2B e-commerce, which are best suitable for agricultural sector. One is the e-market intermediation model (EMIM), and the other is the Integrative content center model (ICCM). Based on the analysis of these two models in application field of agriculture, a conclusion is drawn that these two models will be the main application ones of agricultural e-commerce at present, while ICCM will be a transition from local e-commerce to integrative e-commerce. The future development of agricultural e-commerce will follow the direction of integrative e-commerce which is based on the supply chain model on the E-Hubs. And a new framework of integrative e-commerce is presented as a conclusion at last.

Pricing Decision of E-Commerce Supply Chains with Return and Online Review of Product Quality

The online review function helps consumers grasp more real product information and reduce the possibility of returning, but it may also damage firms’ reputations or profits. However, few studies considered the relationship between online reviews and consumer returns. Based on this, we develop an e-commerce supply chain(E-SC) game model consisting of a single manufacturer and a single e-platform, aiming to explore the relationship between consumer returns and online reviews and to analyze the impact on both the decision-making of E-SC members and their profits. We find that there is a negative relationship between consumer returns and online reviews of product quality, and consumer returns make the pricing decisions in the two scenarios of yes/no online reviews move toward two different directions. Only when the online review is positive and higher than a certain threshold will it have a positive impact on sales and E-SC members’ profits. Finally, we design a new “commission joint returns and quality improvement costs sharing” contract to optimize the decentralized model with online reviews, and we find that the higher the accuracy of product information, the less conducive the contract applied to E-SC.

Performance evaluation model of cross border e-commerce supply chain based on LMBP feedback neural network

In recent years,with the support of national policies,Cross Border E-Commerce(CBEC)has developed rapidly.This business model not only brings significant benefits to the national economy,but also has many unique challenges,especially at the level of supply chain management.Therefore,to enable CBEC enterprises to develop sustainable supply chain,this study discusses the performance evaluation model of supply chain and proposes a CBEC Supply Chain Performance Evaluation Model(CBECSC-EM)based on the Levenberg–Marquardt Backpropagation(LMBP)algorithm.This experiment constructs performance evaluation indicators for the supply chain of CBEC enterprises.On this basis,the LMBP algorithm is introduced,and improved in the experiment to make the overall performance of the evaluation model more scientific and reasonable.In the verification set,the maximum F1 values of LMBP,DEA,SBM,and BP are 98.46%,93.78%,87.29%,and 78.95%,respectively.The MAPE value of LMBP model is 0.102%,which is lower than the other three methods(0.282%,0.343%,and 0.385%)selected in the experiment.The maximum standard deviation rates of importance and operability of the evaluation indexes are 0.1346 and 0.1405,respectively,and there is a significant consistency between the expert scores.Therefore,the LMBP algorithm has broad application prospects in supply chain performance evaluation of CBEC enterprises.

Price Masking Strategy of Cross-Border E-Commerce Platform Financing

E-commerce platform financing is a new service pattern of supply chain finance.However,this pattern may bring some new issues when considering the problem of cash flow shortage and financing difficulties of small and medium-sized enterprises.When enterprises use this service,they worry about the leakage of preferential wholesale price when applying the full loan amount and providing the true transaction information.Based on the model consisting of a supplier,a retailer and a cross-border e-commerce platform,the authors design a price masking strategy to prevent the retailer’s preferential wholesale price information from leakage.The authors analyze the profit of the retailer and the platform before and after adopting the price masking strategy.The authors find that the price masking strategy always benefits the retailer.Besides,the optimal profit of the retailer and the platform are both affected by the loan interest rate.Moreover,there exists a range of loan interest rates that can benefit both the retailer and the platform if the price masking strategy is adopted.The research emphasizes that platform can expand the total business volume by allowing retailers to use price masking strategy.In other words,there will be more and more retailers attracted by the strategy,which benefits the long-term growth of cross-border e-commerce platform financing.

Coordination of e-commerce supply chain when e-commerce platform providing sales service and extended warranty service

With the rapid development of cybereconomy and the enhancement of sales service,many e-commerce platforms provide extended warranty service to alleviate consumers from worries about product quality when consumers purchasing products online.This study examines the decisions and coordination of the e-commerce supply chain where the e-commerce platform dominates and provides sales service and extended warranty service.The findings show that the centralised decision-making model is an ideal model because of the low sales price,high service level and high extended warranty price.With the increase of the consumers’sensitivity coefficient to the extended warranty service price,sales price increases but extended warranty service price and service level decrease,the retailer’s profit and the platform’s profit decrease.The proposed contract of‘revenue sharing joint commission’can realise the coordination of ecommerce supply chain.

Service Pricing Decision of E-Commerce Supply Chain Members Considering Diseconomies of Scale and Network Externalities

Considering diseconomies of scale and network externalities in the e-commerce supply chain(ECSC),we construct an e-platform-led benchmark model and derive the optimal decisions.Then,the model is extended by endogenizing the impact of service level on network externalities.Considering service investment that includes fixed and variable investments,the model is further extended.Comparing the extended models with the benchmark model,we found the following conclusions.Although the e-platform dominates the ECSC,its profit is lower than the manufacturer.The corporate profits,service level,and price increase with network externalities.Increases in diseconomies of scale decrease the corporate profits and service level,but increase the price.A high-quality service combined with network externalities can achieve synergy and improve the e-platform’s economies of scale,further generating a higher profit.Improving network externalities promotes the fair profit distributionin ECSC and achieves stable development.

Optimal Decision-Making of Low-Carbon Supply Chain Incorporating Fairness Concerns

The optimal decision-making of the low-carbon supply chain incorporating fairness concerns, such as the effort of reducing carbon emissions, the whole sale price and retail price, is analyzed by taking the Nash bargaining solution as the fairness reference point. The following conclusions are found. Firstly, the wholesale price is strongly influenced by the fairness concern of the manufacturer but weakly influenced by that of the retailer, although both statistically significantly. Secondly, both the manufacturer’s and retailer’s fairness concerns reduce carbon emissions dramatically to nearly the same extent. Thirdly, the effect of the manufacturer’s fairness concern on the retail price is so tiny that it can almost be ignored, while the retailer’s fairness concern changes the retail price remarkably.

COMPARISONS OF LOW CARBON POLICIES IN SUPPLY CHAIN COORDINATION

This paper investigates the influence of low-carbon policies on channel coordination for a two-echelon supply chain consisting of one supplier and one retailer. Four different models are considered： the basic model, the carbon emission model, the carbon emission trading model and the carbon tax model. We find that the government policy on all carbon emission models is not universal among the firms as well as the customers. The carbon emission trading policy is always better than the carbon emission policy and the carbon tax policy when the allocated carbon emission quotas are greater than the carbon emissions. The carbon emission trading policy is proved to be an effective mechanism which can motivate the supply chain to reduce carbon emissions. Under certain conditions, the supply chain prefers the carbon emission trading policy with higher carbon price to other policies. In the framework of Stackelberg game with the supplier as the leader, for each carbon policy, the paper presents coordination mechanism with the all-unit wholesale quantity discount contract （AWQD）. We analyze and compare the influence of low-carbon policies on channel coordination for the foul＂ low-carbon policies. Numerical experiments are conducted to examine our findings.

Hierarchical Architecture for Enterprise Information System under Dynamic Environment

In a dynamic environment, it is vital for enterpris e to have flexible information system architecture to integrate ERP, Supply Chain Management (SCM) and E-Commerce (EC). The traditional systems are established o n the ERP-centered flat architecture. This architecture has some disadvantages in supporting the dynamics of enterprises. Firstly, ERP is already a very expens ive and complex system; the extension based on it can only increase the complexi ty and make the implementation more expensive and risky. Secondly, under the arc hitecture, the flexibility is reduced sharply although the execution efficiency is maintained. In a rapid changing environment, flexibility is also an equally i mportant factor besides execution efficiency. Thirdly, it cannot support the dyn amic collaboration efficiently. The prevailing of the flat architecture is not d ue to its advantage but to the big software providers. From the system viewpoint , a hierarchical architecture is proposed. Difference from the current architect ure, in the hierarchical paradigm, ERP is put in the bottom level rather centere d. SCM is the center system, which adopts a multi-agent structure. EC is regard ed as its foreground interface, while ERP and other information system of the pa rtner or internal units are the background executors. EC is the extension of mar ket agent and purchase agent. It fulfills the function of trade on Internet by s ending orders to be executed to SCM and receiving the progress information of th e orders from SCM. After receiving orders from EC, the agent in charge of schedu le in SCM makes preliminary plan in form of instructions (which may be infeasibl e) based on the information of source. Trough the coordination of multi agent, the plan is adjusted to be feasible. Compared with current ERP-centered flat ar chitecture, the hierarchical structure pays more attention to dynamic collaborat ion rather the optimization within the enterprise. At last, two engineering case s, Beijing Shang Pu Electric Ltd and Qingtao Tianyue International Building Mate rial Free Trade City, are presented to illustrate the idea.

The optimal strategies in the supply chain with stochastic demand sensitivity to carbon emission

With the increasing awareness of low-carbon environmental protection,consumers prefer to purchase low-carbon products.In this paper,a two-echelon low-carbon supply chain consisting of one manufacturer and one retailer in classic single-period model with emission-sensitive stochastic demand is investigated.Firstly,optimal results for the decentralized and centralized decisions in the basic model are presented respectively.It manifests the effect of double marginalization which shows not only a lower order quantity but also higher unit carbon emission.Then,we are going to discuss the introduction of a buyback and cost-sharing contract,and two main carbon emission regulations in the decentralized model.Finally,compared with the basic model,numerical examples are studied on the optimal solutions to the total profit for the supply chain,order quantity,and unit/total carbon emission as the demand sensitivity to carbon emission/green investment coefficient/demand variance varies respectively before reaching several significant conclusions.

Optimal production strategy for auto manufacturers with government subsidies in competitive environments

Using the Hotelling model and evolutionary game theory,this paper studies the optimal production strategy of duopoly auto manufacturers and explores the impacts of two government policies(manufacturer and consumer subsidies)on strategies related to the production of electric vehicles(EVs)or fuel vehicles(FVs).The study finds that consumers’environmental preferences have direct effects on manufacturers’market shares and profits,which in turn,affect the manufacturers’production strategy selection.Specifically,when consumer environmental preference is sufficiently high,both auto manufacturers will eventually choose to produce EVs;when it is moderate,only one with a cost advantage will choose to produce EVs.Finally,when it is low,neither auto manufacturer will produce EVs.The findings further reveal that the more significant the difference in EV production costs is,the more inclined auto manufacturers are to choose a different final stable strategy.Regardless of whether the government subsidizes manufacturers or consumers,the policy only works if subsidies reach a certain threshold.The study also identifies the conditions under which government subsidies are considered more cost-effective.

Recycling decision,fairness concern and coordination mechanism in EC-CLSC

Taking the e-commerce platform’s fairness concern into account,three decision-making models of e-commerce closed-loop supply chain are constructed.Then,the recycling decisions under three models are studied and the impact of fairness concern is analysed.The‘effort costs sharing contract’is proposed to realise the coordination of the supply chain.Finally,the conclusions are verified by numerical analysis.The results show that the e-commerce platform’s fairness concern reduces own profit and the remanufacturer’s profit,and decreases system efficiency.The‘effort costs sharing contract’can realise the centralised model where recycling price of waste products is the highest,commission is the lowest,and system profit is the highest.In the coordinated system,the higher the proportion of remanufacturer sharing effort costs,the higher the profit of remanufacturer.