E-commerce Supply Chain Research Articles

A Study on Revenue Distribution of Chinese Agricultural E-Commerce Supply Chain Based on the Modified Shapley Value Method

With the rapid development of e-commerce in China, “live broadcast + e-commerce” has become an emerging mode of the e-commerce industry. The speedy growth of the digital economy has also provided a favorable external environment for fresh agricultural products to ride on the e-commerce express train. As a result, more and more suppliers of fresh agricultural products choose to sell their products on e-commerce platforms and conduct live streaming. This paper utilizes the e-commerce supply chain field survey data, takes tomato as the specific analyzed variety, and studies the revenue distribution pattern of each subject in the supply chain. The purpose of this paper is to explore the optimization strategy of the revenue distribution of an agricultural e-commerce supply chain, and the results show that the agricultural e-commerce supply chain effectively promotes the matching of supply and demand of medium- and high-end agricultural products, realizes the quality premium of medium- and high-end agricultural products, and significantly improves the overall revenue level of the supply chain. The field survey found that under the supply chain model of “farmers + cooperatives + e-commerce platform”, farmers, cooperatives, and e-commerce platforms gained $2865, $3098, and $1111, respectively, for operating one mu of tomatoes in a year. According to the traditional Shapley value method, from the point of view of the contribution to the cooperative income, part of the income of the farmers and cooperatives should be compensated to the e-commerce platform, and the specific results are as follows: the income of the farmers should be reduced from $2865 to $2729, the income of the cooperatives should be reduced from $3099 to $2955, and the income of the e-commerce platform should be increased from $1111 to $1390. According to the Shapley value method based on the risk coefficient correction, from the perspective of risk compensation, part of the earnings of the e-commerce platform should be compensated to farmers and cooperatives, so as to establish a more equitable and reasonable pattern of earnings distribution, with the specific results: the earnings of farmers should be increased to $3205, the earnings of cooperatives should be increased to $3148, and the earnings of the e-commerce platform should be reduced to $722.

Construction of Cross-Border E-Commerce Supply Chain of Agricultural Food Products based on Blockchain Technology

The European Union has for several years been a critical export market and a significant source of imports for us, and the US has, in general, kept closed domestic players vis-à-vis the EU. However, given the variety of alternative market conditions and EU forms, the attractiveness of cross-border electronic commerce (CBEC) between China and the EU has fallen far short, and there is an urgency to create a harmonious and uniform environmental environment for the exchange of information to facilitate the convenience of cross border electronic commerce. This study examines the CBEC of agricultural goods and its cooperative management technique inside the logistical supply chain. It details the complete transaction model and fundamental components and presents a theoretical framework for the CBEC distribution network. The Block Chain can effectively bridge the obstacles to CBEC in Chinese and European countries by providing a valuable source of benefits from decentralization, trust, anti-counterfeiting, consensus, innovative procurement, and extraordinary techniques, which will provide the basis for building an Embedded Provider Platform for Electronic Commerce, Risk Management System for Deposit Risk Management, Supply Chain (SC) Management System, Cross Border Logistic System, Customs Supervisory Computer, etc. The paper examines how blockchain science can assemble CBEC SC computing devices for agricultural goods between global places in Central Europe. Firstly, it expounds on the theory and characteristics of the blockchain. Then, the paper introduces the troubles that arise in the CBEC supply chain. Then, the thesis proposes a blockchain-based CBEC SC structure, analyzes the aspects and relations among each other, and provides a framework for developing a China-European blockchain cross-border electronic Commerce. The test findings indicate that the system satisfies the criteria for tracking agricultural items and enhances fresh farm commodities' quality and security.

Optimistic Third-Party Sellers in E-Commerce Supply Chains

This paper investigates the effects of optimism in an e-commerce supply chain where two third-party sellers offer substitutable products through a shared e-commerce platform. In this context, optimism is defined as a cognitive bias in which third-party sellers underestimate the probability of encountering low market potential. We present a game-theoretic model to characterize the equilibrium strategies of both the platform and the sellers. Our analysis reveals that when both sellers exhibit optimism bias, this bias invariably leads to lower expected profits for them. However, seller optimism can benefit both the platform and the whole system. That is, as sellers become more biased, the profits of the platform and the entire supply chain increase. Moreover, when a biased seller competes with a sophisticated one, unilateral optimism can result in a win–lose outcome in which the optimistic seller benefits from her bias at the expense of her sophisticated rival. Indeed, we demonstrate that optimism can confer a competitive advantage in a duopoly, allowing the more biased seller to earn higher profits than its less biased competitor—even if the latter is unbiased or sophisticated. Our work sheds light on the conditions under which optimism bias may have detrimental or beneficial impacts on e-commerce supply chain operations.

Green E-commerce Supply Chain Management

Green E-commerce Supply Chain Management

Decision-making Optimization of Cross-border E-commerce Supply Chain based on Genetic Simulated Annealing Algorithm

This paper mainly studies the collaborative operation of a cross-border e-commerce supply chain composed of manufacturers, e-commerce platforms and foreign warehouses. Firstly, the decision models of transnational e-commerce enterprises based on decentralized, centralized, and hybrid modes are established. The sensitivity of the contract and each determining variable is analyzed using the simulation method. Through the joint contract of ”revenue sharing + volume discount,” the production efficiency of the enterprise and the logistics service of the international warehouse can be improved. The genetic algorithm combined with simulated annealing was adopted. Finally, a concrete example is given to verify the feasibility of the proposed method. The results show that the member departments can work together better under centralized decision-making compared to the decentralized management mode. Manufacturers to increase production capacity and improve the level of logistics services in overseas warehouses will help improve the profitability of cross-border e-commerce.

Green Perspective of the Ecommerce Supply Chain in Online Retail Industry of Pakistan

Purpose: The study aimed to examine the effect of green consumerism on positive and negative environmental attitude, ease of green product use, usefulness and green product recovery towards behavioral intention to use e-commerce in Karachi, Pakistan. Design/Methodology/Approach: In this study, the quantitative method was used to construct the research framework and conduct hypothesis testing. The suitable target population for this current study is users of e-commerce in Karachi, Pakistan. The study has collected 200 responses from the respondents. Convenience sampling as a technique has been utilized. PLS-SEM has been used as a data analysis technique. Findings: The study’s findings indicated that green consumerism effects the negative environmental attitude negatively and significantly however, it affects the environmental attitude positively and significantly, besides green product recovery insignificantly affects the behavioral intention to use e-commerce. Lastly, the perceived ease of use and perceived usefulness affects the behavioral intention to use e-commerce positively and significantly. Implications/Originality/Value: Managers should adopt green company policy to replace fossil fuels with rentable fuels in logistical operations and gain a competitive edge over competitors by developing a new product line in accordance with company environmental policies.

Carbon footprint reduction in an e-commerce market: impacts of logistics service sharing

In the e-commerce market, green technology investment and carbon offset purchase are two widely-used approaches for reducing the carbon footprint of logistics services. However, implementing carbon footprint reduction in logistics services generally incurs heavy costs. To distribute heavy costs and improve resource utilization, a novel strategy of logistics service sharing has played an important role. Nevertheless, it is still unclear, in a co-opetitive e-commerce market, how to make use of different approaches and what the impacts of logistics service sharing are. To answer these questions, we develop an analytical model where an e-commerce platform and a third-party seller compete for consumers who care about both the selling price and the logistics service carbon footprint. We assume that the platform builds his own logistics service system and can adopt two different approaches to cut carbon footprint, while the seller needs to outsource logistics services to the TPL service provider or the platform. The analysis shows that without logistics service sharing, the platform may be more willing to purchase carbon offset as the offset cost increases, and the availability of carbon offset can prompt the platform to increase his investment in green technology. By contrast, with logistics service sharing, the platform will be less willing to purchase carbon offset as the offset cost increases, and the usage of carbon offset will induce him to invest less in green technology. These findings highlight that logistics service sharing can change the platform's preference toward the two approaches and modify the relationship between them. Furthermore, we find that logistic service sharing can provide a win-win outcome for the platform and the seller, but is not necessarily helpful for reducing the total carbon footprint in the e-commerce supply chain as well as increasing consumer surplus and social welfare.

Research on E-commerce Supply Chain Management HCI in International Trade Using Big Data and CAD Technology

Research on E-commerce Supply Chain Management HCI in International Trade Using Big Data and CAD Technology

Financing options for logistics firms considering product quality loss

Purpose This paper aims to investigate the impact of quality loss in transit on e-commerce supply chain pricing, production and financing decisions. Design/methodology/approach The authors consider a Stackelberg game model with a supplier, logistics firm and e-commerce platform. The logistics firm is capital-constrained and obtains funding from the e-commerce platform by debt financing or equity financing. Through backward induction, this paper first solves the equilibrium results under the two financing schemes and then reveals the financing preferences of all parties. Findings The results demonstrate that equity financing reduces financing costs and promotes production significantly. However, it may also lead to overproduction, particularly in markets with poor profitability and high cost factors. When the percentage of product quality loss is large, equity financing is preferable. With the increasing of transportation level, the benefits of debt finance are steadily growing. In addition, equity financing is the Pareto dominant scheme for all firms under certain circumstances. The extensions consider hybrid financing and another quality loss type. Practical implications The paper derives the equilibrium solutions and financing preferences, then specifies the threshold for applying financing schemes. Provide guidance for logistics firms’ finance model innovation and core enterprise involvement in the logistics industry. Originality/value The paper investigates how logistics firms’ financing strategies are impacted by product quality loss.

Research on the Application of Digital Technology in Cross border E-commerce Supply Chain

Research on the Application of Digital Technology in Cross border E-commerce Supply Chain

Dual-channel Strategy Selection in Multinational Supply Chain in E-Commerce

Dual-channel Strategy Selection in Multinational Supply Chain in E-Commerce

The techno-ties that bind: how transaction-specific investment, trust and adaptive collaboration influence performance in e-commerce consortium blockchain

Purpose Blockchains used by e-commerce consortia are a novel form of governance that facilitates coordination and collaboration among the numerous organisations that comprise e-commerce supply chains. Despite the increasing prevalence of consortium blockchain networks for e-commerce, there is a limited understanding of the economic and social dynamics that influence the behaviour of blockchain consortium members. By utilising transaction cost theory and social exchange theory, this research investigates the interplay between blockchain transaction-specific investment (BTSI), trust, adaptive collaboration (ADC) and the overall performance of supply chains in consortium blockchainsDesign/methodology/approach A quantitative research approach was employed to collect data from a representative sample of blockchain organisations affiliated with e-commerce consortium blockchains worldwide. Following this, the data obtained from 361 participants were analysed using descriptive and inferential statistics.Findings The results of our study indicate that BTSI has a substantial impact on trust. Furthermore, trust plays a pivotal role in shaping ADC, and ADC, in turn, acts as a mediator in the relationship between trust and performance outcomes.Originality/value This study underlines these economic and social dynamics in the evolving context of consortium blockchain networks, offering insights into their significance within a technology-driven environment.

The Improvement of Logistics Management in China: A Study of the Risk Perspective

This paper identifies and empirically validates the potential risks in overseas third-party logistics services that support sustainable cross-border e-commerce logistics in China. This research addresses a significant gap in the current literature by conducting a comprehensive literature review and case study, primarily focusing on third-party logistics services’ benefits without adequately discussing the associated risks. Our study highlights the medium and high risks in forwarding and contracting processes, such as cost uncertainty, quality issues, and cultural and language differences. The findings contribute to academic research and practical applications by providing a theoretical foundation and practical guidance for enhancing logistics management in China’s sustainable cross-border e-commerce. This research promotes the resilience and sustainability of cross-border e-commerce supply chains and offers valuable insights for overseas 3PL service providers looking to expand their operations in China.

Decisions and Coordination of E-Commerce Supply Chain Considering Product Quality and Marketing Efforts under Different Power Structures

With the rapid development of internet technology, consumers have increasingly higher requirements for product quality. High-quality products can win consumers’ trust. Enhancing both product quality and sales in e-commerce platform transactions has long been a focal point of research. To address this issue, this paper constructs Stackelberg game models under different power structures and compares their impacts on pricing decisions and profits within e-commerce supply chains. Numerical simulations are used to explore the optimal combination strategy for the interaction of product quality and marketing efforts in the e-commerce supply chain. The results show that: (1) Under a centralized decision-making model, product quality and marketing efforts reach their optimal values, maximizing benefits for the supply chain system. (2) Under different power structures, the relationship between the profits of the supplier and the e-commerce platform self-operator is closely linked to the cost coefficients of product quality and marketing efforts. (3) Through the mechanism of “cost-sharing + compensation contract”, the supplier can reduce wholesale price, and the e-commerce platform self-operator can subsidize a portion of the sales to the supplier, thereby maximizing the profits of both parties and achieving a win–win situation. The research in this paper aids suppliers in improving product quality and e-commerce platform self-operators in enhancing their marketing efforts, providing theoretical support for optimizing supply-chain decision making on e-commerce platforms.

Joint Channel and Logistics Selection Strategies in an E-Commerce Supply Chain with a Capital-Constrained Supplier

Some prominent e-commerce giants, such as Amazon and JD.com, have established their own logistics service and shared it with other merchants. In this paper, we study the channel (reselling channel or agency channel) and logistics service (platform’s logistics or third-party logistics) selection strategies in an e-commerce supply chain composed of a limited capital supplier and a platform within the consideration of the supply chain finance. We show that the supplier’s channel and logistics service selection strategies depend on the cost coefficient of the platform’s logistics service and the production cost. Interestingly, the supplier prefers the reselling channel rather than the agency channel with the platform’s logistics service. This explains why the merchants in JD.com rarely use JD.com logistics in the agency channel. From the perspective of the platform, the platform may prefer the supplier to use third-party logistics service to deliver goods in the agency channel particularly when the cost coefficient of the platform’s logistics service is relatively large. Furthermore, the platform will put in more effort level aimed at enhancing the logistics service in the reselling channel.

Collaborative system model construction and simulation optimization of e-commerce enterprise supply chain

ABSTRACT With the rise and rapid development of the e-commerce industry, the pressure borne by the supply chain of e-commerce enterprises is increasing, which greatly increases the complexity and uncertainty of inventory management in the e-commerce supply chain. The study integrates system dynamics and collaborative supply chain inventory management to construct a new model. The study first uses the concept of system dynamics to optimize the supply chain inventory management system; then the collaborative supply chain is used to construct a system model by combining the optimized management system. The results show that the collaborative supply chain inventory management model constructed by the study can better accelerate the product turnover rate, improve the overall operational efficiency and market competitiveness of the supply chain, and can provide new support for the development of e-commerce enterprises.

Selling format choices in e-commerce platform considering green investment and corporate social responsibility

Environmental and social responsibility are crucial for sustainable development. Considering green investment and corporate social responsibility (CSR) simultaneously, we investigate the selling format choice within the context of an e-commerce supply chain comprising a single manufacturer and one e-tailer. We explore three scenarios: one without CSR (N-CSR), one where the e-tailer shows CSR (E-CSR), and another where the manufacturer demonstrates CSR (M-CSR). We discover that the manufacturer prefers the agency format when the commission rate is low and the wholesale format when it is high. The specific threshold for this decision balances the commission fee in the agency format with the double marginalization effect in the wholesale format. Under E-CSR, a stronger CSR focus makes the wholesale format more attractive to the manufacturer, while under M-CSR, it makes the agency format more appealing. Moreover, we find that CSR can encourage the manufacturer to invest more in environmental responsibility. From an economic standpoint, CSR can improve the overall profitability of the supply chain, but it may affect the e-tailer’s and manufacturer’s profits differently. Our study provides insights into how environmental and social responsibility influence decisions and economic outcomes in e-commerce supply chains.

Optimization of cross-border E-commerce (CBEC) supply chain management based on fuzzy logic and auction theory

People have benefited enormously from e-commerce’s explosive expansion in recent years. E-commerce, in contrast to the traditional business environment, is dynamic and complicated, which poses a number of challenges. The prediction market can create mixed intelligence for sales forecasting, which is essential for e-commerce enterprises, to handle this difficulty. Combining the usage of human analysts and machine learning algorithms can accomplish this. To accurately anticipate retailer volume and allot resources, a novel methodology for optimizing supply chain management at CBEC is proposed in this paper. The framework improves efficiency and profitability by using fuzzy logic and auction theory to make strategic decisions. Thanks to this creative strategy, managers can now make more informed decisions, ultimately enhancing the efficiency of CBEC’s supply chain. The results of this paper reveal that our proposed method is superior to previous comparable methods, with RMSE and MAE values of 22.31 and 18.76, respectively. This approach offers a promising solution to the challenges faced by e-commerce businesses, and can help them achieve greater success in the dynamic and complex world of online commerce.

Predicting sales and cross-border e-commerce supply chain management using artificial neural networks and the Capuchin search algorithm

E-commerce provides a large selection of goods for sale and purchase, which promotes regular transactions and commodity flows. Efficient distribution of goods and precise estimation of customer wants are essential for cost reduction. In order to improve supply chain efficiency in the context of cross-border e-commerce, this article combines machine learning approaches with the Internet of Things. The suggested approach consists of two main stages. Order prediction is done in the first step to determine how many orders each merchant is expected to get in the future. In the second phase, allocation operations are conducted and resources required for each retailer are supplied depending on their needs and inventory, taking into account each store’s inventory as well as the anticipated sales level. This suggested approach makes use of a weighted mixture of neural networks to anticipate sales orders. The Capuchin Search Algorithm (CapSA) is used in this weighted combination to concurrently enhance the learning and ensemble performance of models. This indicates that an effort is made to reduce the local error of the learning model at the model level via model weight adjustments and neural network configuration. To guarantee more accurate output from the ensemble model, the best weight for each individual component is found at the ensemble model level using the CapSA method. This method yields the ensemble model’s final output in the form of weighted averages by choosing suitable weight values. With a Root Mean Squared Error of 2.27, the suggested technique has successfully predicted sales based on the acquired findings, showing a minimum decrease of 2.4 in comparison to the comparing methodologies. Additionally, the suggested method’s strong performance is shown by the fact that it was able to minimize the Mean Absolute Percentage Error by 14.67 when compared to other comparison approaches.

Decision and Coordination of an E-commerce Supply Chain Considering Returns and Network Externalities

Decision and Coordination of an E-commerce Supply Chain Considering Returns and Network Externalities