Search

Cross-border e-commerce, in particular direct-delivery trade, has been severely impacted by turbulent events like the COVID-19 epidemic. E-tailers operating both bonded-warehouse and direct-delivery channels could mitigate disruption risks by self-reliant shipping to maintain control over logistics processes. The question is whether the e-tailer's bonded-warehouse channel will also benefit from self-reliant shipping. We analyse a typical situation in which an e-tailer imports products from overseas suppliers and resells them through dual-sales channels. Our findings reveal that the demand potential difference between these two channels and the common carrier's pricing power are critical factors in the e-tailer's decision-making process. If the bonded-warehouse channel has moderate demand potential, the e-tailer is less likely to choose self-reliant shipping. Therefore, the imbalance in demand potentials between the two channels serves as a significant driver for the e-tailer to favor self-reliant shipping. Interestingly, we find the common carrier's pricing power can either motivate or deter the e-tailer from self-reliant shipping. If the direct-delivery channel/bonded-warehouse channel has a large demand potential, a higher service price for this channel will be charged by the carrier, thus incentivizing the e-tailer to prefer self-reliant shipping. Our study also demonstrates that both self-reliant shipping and common carrier strategies can achieve a Pareto improvement in the e-tailer profit and the social welfare. [ABSTRACT FROM AUTHOR]

The rise of big data in the global economy has altered the ways in which firms do international business. The digital revolution has also changed how international business is regulated. Personal information protection is one of the new challenging regulatory issues. In this study, we build a framework to discuss how data privacy regulation affects cross-border e-commerce. We show that data privacy regulation has four effects: the web traffic effect, the data collection effect, the advertising effect and the data sharing effect, all of which negatively affect cross-border e-commerce. We also demonstrate the heterogenous effects of data privacy regulation. Specifically, we argue that data privacy regulation has a stronger cross-border e-commerce reduction effect on countries with higher labor cost and marketing cost, and data privacy regulation has a larger negative effect on cross-border e-commerce for differentiated products than homogenous products. By empirically testing the impact of General Data Protection Regulation on cross-border e-commerce between 183 countries and European Union countries from 2015 to 2020, we confirm all the proposed hypotheses. There are few studies exploring specifically how data privacy regulation affects cross-border e-commerce. We contribute to the literatures by filling this gap. Our research results provide new insights for multinational companies and public policymakers on this globally important issue in the digital age. [ABSTRACT FROM AUTHOR]

COVID-19 has not only dramatically affected the ordinary course of social life, but also caused an idiosyncratic downturn in the global economy and created multidimensional effects on international trade and Cross-Border E-Commerce merchandise flows. This paper provides unique empirical evidence of how the consequences of the pandemic have distinctively diverged on conventional and simplified customs clearance, which includes Cross-Border E-Commerce orders, differed significantly. The Difference-in-differences (DiD) and Causal Inference estimates for the 2019:01-2021:06 interval suggest that simplified customs clearance shows more resilience to COVID-19 effects relative to conventional customs clearance and reduces the negative impact of COVID-19 influences on export performance in the case of Turkey. The fundamental outcomes remain consistent when the sample includes emerging markets and when the analysis employs the export of consumer goods as opposed to total exports in the conventional mode. Overall, the findings highlight the significant role of E-Commerce and simplified customs processes in enhancing export performance. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

The optimization algorithm known as Particle Swarm Optimization (PSO) is based on swarm intelligence and was created by modeling the foraging behavior of bird flocks. This study using the generalized regression neural network to improve particle swarm optimization (PSO) algorithm, proposed a target for cross-border electricity social network optimization algorithm PSO-PNNG, the simulation experiment in multiple real social network data environment and algorithm comparison, and the basic operation of genetic algorithm into the particle swarm algorithm, enhance the particle swarm optimization algorithm's performance, speed up the convergence speed. In this study, three social network datasets obtained by real reptiles were used to solve the proposed PSO-PNNG algorithm in a real social network data environment. The findings of the experiment indicate that the suggested multi-objective optimization algorithm for cross-border e-commerce social traffic network based on improved PSO has higher efficiency and accuracy than the traditional method. [ABSTRACT FROM AUTHOR]

This study investigates the interplay between platform information push, consumer emotions, and purchase behavior in Macau's cross-border e-commerce context using PLS-ANN analysis and piecewise linear regression. The findings reveal nuanced effects of information push on pleasure and annoyance, with distinct patterns emerging at different levels. These emotional responses significantly influence purchase intentions and actual behavior. Pleasure has a positive impact, while annoyance negatively affects outcomes. To optimize consumer sentiment and drive sales, e-commerce platforms should strategically manage information content, presentation, and timing. Harnessing positive emotions, balancing information sufficiency and overload prevention, and fostering long-term emotional connections are crucial. Adapting push strategies to diverse market preferences is vital for cross-border success. The study expands affect-as-information and emotional contagion theories, offering actionable suggestions for precision marketing. Future research should explore additional emotive dimensions, individual differences, and contextual moderators to enrich the model. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to discuss how cross-border e-commerce enterprises can promote the sustainable development of the supply chain by optimizing the risk of supply disruption and product quality control mechanism of the cross-border supply chain of low-carbon agricultural products in the face of the problem of uneven quality and inventory shortage that prevails in the supply chain of low-carbon agricultural products under the framework of low-carbon economy. Methods: A two-level supply chain model consisting of a risk-averse cross-border e-commerce enterprise and two risk-neutral overseas suppliers is constructed to compare the optimal strategies and their coordination effects under the centralized and decentralized decision-making modes, and to deeply analyze the supply chain's operation mechanism. Further, the quality cost factor is introduced and an option contract model is designed to quantitatively analyze the impact of different decision-making scenarios and parameter changes on the overall supply chain performance. The results of the study show that under the coordination of option contract, the profit of cross-border e-commerce companies tends to decrease as the risk of supply disruption increases, while the profit of suppliers rises accordingly. Meanwhile, improving the quality of agricultural products can significantly improve the overall profitability of the supply chain. The cost-sharing mechanism is positively related to the profit of cross-border e-commerce companies, but negatively affects the profit of suppliers. In addition, the adjustment of the option price is directly associated with the increase of the specific supplier's profit and the decrease of the cross-border e-commerce enterprise's profit. Conclusion: By constructing and analyzing the option contract model considering the risk of supply disruption, this study effectively reveals the key influencing factors and their interactions in the cross-border supply chain of low-carbon agricultural products, and provides cross-border e-commerce enterprises with specific strategies to achieve coordination of the supply chain contract, improve product quality, and mitigate the risk of supply disruption, and then promote the sustainable development of the supply chain of low-carbon agricultural products. [ABSTRACT FROM AUTHOR]

Rapidly growing e-commerce, due to globalization and the impact of the Covid-19 epidemic, has significantly increased global demand, and cross-border e-commerce has become a frequently mentioned concept. Cross-border e-commerce, which also triggers the development of international trade, has begun to influence the economic policies of countries, especially with its e-export dimension. The most important factor behind the development and success of cross-border e-commerce can be expressed as being its logistics services. E-commerce processes achieve success with the effectiveness of these services. However, as in many countries, problems may occur in logistics processes in Türkiye, which may prevent cross-border ecommerce companies from using their potential. In this context, in the study, firstly, the concepts of e-commerce and crossborder e-commerce are discussed and the concept of e-export is clarified. Then, logistics services in cross-border e-commerce are explained. Finally, a qualitative research is conducted to reveal the logistics problems encountered in cross-border ecommerce, and the findings of in-depth interviews with companies engaged in e-export in Bursa are evaluated. [ABSTRACT FROM AUTHOR]

With the accelerated development of globalization cross-border e-commerce market shows a booming trend. In this context the traditional operation mode has been difficult to meet the rapid changes and diversified needs of the cross-border market. At present the data obtained by cross-border e-commerce are enough to solve the internal management process and department needs. However due to the dispersion and use value of data the data information between different departments cannot be effectively communicated resulting in a large number of value data forming barriers. The resulting operational differences cannot fully peel away the data to observe the expression dilemma behind it resulting in a difference gap. It is impossible to form an accurate personalized and logical operation mechanism. The cross-border e-commerce market is highly complex and changeable. Single case studies can have a deep insight into the market status quo in a specific context accurately capture and explain the operation behavior in a specific environment under situational sensitivity to reveal its causal relationship enhance the persuasive power of research by collecting and analyzing detailed empirical data and make flexible and adaptive adjustments in the face of new problems of research objects in the research process. Therefore taking brand F as an example this paper integrates first-hand and second-hand research materials including internal documents interview records observation notes etc. analyzes the collaborative relationship between the research object and the research target through the single-case study method analyzes its potential operation rules based on the data-product-data theory and reveals the operation mechanism logic from the datadriven perspective. By grafting data technology and application the study reveals the realization mode of innovative operation mechanism with data value discovery-data value creation-data value realization as the research paradigm realizing the interaction and cooperation of design end production end and marketing end and integrating value chain links to promote the reconstruction of industrial chain. The construction of an ecological operation mechanism can gradually focus on trend benefits maximize their benefits optimize the coordination degree between vertical supply chain resources and supply departments improve product attribute labels strengthen consumer search accuracy improve consumer satisfaction and audience stickness avoid data stacking and functional limitations maximize information value and eliminate idle data and functions in time. In the future it is necessary to improve the extrapolation of research and the applicability to the global market by expanding the sample size and incorporating more consumer groups with multicultural backgrounds. In terms of technology iteration and follow-up the latest data technologies and operational tools can be continuously followed up and incorporated to more fully explore the potential and application of products. For the research on shortening cultural differences crosscultural perspective research can be strengthened to deeply analyze the influence of different cultures on consumer behavior preferences so as to optimize cross-cultural operation strategies. In terms of data management and analysis technology innovation it is necessary to explore advanced data management and analysis technology to deal with more complex data types and improve the accuracy and efficiency of data analysis. [ABSTRACT FROM AUTHOR]

Although customers often participate in cross-border e-commerce (CBEC), little is known about how customers obtain and process the knowledge they seek regarding cross-border e-commerce websites. This research explores cross-platform spillover effects of knowledge sharing in virtual communities on customers' perceived website quality and customer service of independent cross-border e-commerce websites and their subsequent purchase intentions. By applying cue utilization theory and expectation-disconfirmation theory, we develop a model that captures how CBEC-related knowledge sharing in virtual communities influences customers' purchase intentions on CBEC websites that are independent of these virtual communities. A quantitative survey of customers with CBEC purchase experience was conducted with three top virtual communities without associated CBEC websites, yielding 521 responses. The results suggest that CBEC-related knowledge sharing in virtual communities has significant positive effects on customers' perceptions of website quality and customer service, and, thereafter, their purchase intentions. This research demonstrates that spillover effects from virtual communities to independent CBEC websites indeed exist and identifies the underlying mechanisms that explain how these spillover effects move from virtual communities to CBEC websites. [ABSTRACT FROM AUTHOR]

The growing importance of the post-adoption phase of cross-border e-commerce (CBEC) assimilation for various purposes in the innovation process, leading to innovative performance, is researched. This study leverages a routine-based absorptive capacity framework, added to uncover the hierarchical benefits of innovation in CBEC assimilation. A Partial Least Square path model is used to examine the proposed model and structural associations. We used a survey method to collect data from 281 Malaysian manufacturing SMEs. The findings indicate a link between CBEC assimilation and internal innovation benefit that has positive significance in product and process innovation, while external innovation benefits in product innovation. [ABSTRACT FROM AUTHOR]

Rapidly growing e-commerce, due to globalization and the impact of the Covid-19 epidemic, has significantly increased global demand, and cross-border e-commerce has become a frequently mentioned concept. Cross-border e-commerce, which also triggers the development of international trade, has begun to influence the economic policies of countries, especially with its e-export dimension. The most important factor behind the development and success of cross-border e-commerce can be expressed as being its logistics services. E-commerce processes achieve success with the effectiveness of these services. However, as in many countries, problems may occur in logistics processes in Türkiye, which may prevent cross-border e-commerce companies from using their potential. In this context, in the study, firstly, the concepts of e-commerce and cross-border e-commerce are discussed and the concept of e-export is clarified. Then, logistics services in cross-border e-commerce are explained. Finally, a qualitative research is conducted to reveal the logistics problems encountered in cross-border e-commerce, and the findings of in-depth interviews with companies engaged in e-export in Bursa are evaluated.

The rapid development of cross-border e-commerce (CBEC) has enabled more suppliers to expand into overseas markets, meeting increasingly diverse consumer demands. Selecting an effective logistics mode is a crucial issue for suppliers, yet uncertainty in demand and exchange rate fluctuations make this problem challenging. This paper considers a supply chain consisting of a supplier and a CBEC platform. Using a distributionally robust optimization approach, we provide optimal overseas warehousing strategies and logistics mode selection for suppliers, given partial distribution information of market demand and exchange rate, such as means, variances, and covariances. It is found that when demand and exchange rate fluctuations are small, the supplier chooses the bonded warehouse logistics mode to reduce costs. Conversely, when demand and exchange rate fluctuations increase, the supplier opts for the direct mail mode to respond flexibly to market risk. The correlation between exchange rate and demand also affects the choice of logistics mode. Specifically, with low correlation, the preference is for the bonded warehouse mode, whereas high correlation leads suppliers to choose the direct mail mode. In addition, the impact of demand and exchange rate fluctuations on suppliers’ overseas warehousing volumes depends on the product’s profit margin. These findings provide guidance for the selection of CBEC logistics under exchange rate risk.

This study deeply integrates multimodal data analysis and big data technology, proposing a multimodal learning framework that consolidates various information sources, such as user geographic location, behavior data, and product attributes, to achieve a more comprehensive understanding and prediction of consumer behavior. By comparing the performance of unimodal and multimodal approaches in handling complex cross-border e-commerce data, it was found that multimodal learning models using the Adam optimizer significantly outperformed traditional unimodal learning models in terms of prediction accuracy and loss rate. The improvements were particularly notable in training loss and testing accuracy. This demonstrates the efficiency and superiority of multimodal methods in capturing and analyzing heterogeneous data. Furthermore, the study explores and validates the potential of big data and multimodal learning methods to enhance customer satisfaction in the cross-border e-commerce environment. Based on the core findings, specific applications of big data technology in cross-border e-commerce operations were further explored. A series of innovative strategies aimed at improving operational efficiency, enhancing consumer satisfaction, and increasing global market competitiveness were proposed. [ABSTRACT FROM AUTHOR]

The rapid development of cross-border e-commerce (CBEC) has enabled more suppliers to expand into overseas markets, meeting increasingly diverse consumer demands. Selecting an effective logistics mode is a crucial issue for suppliers, yet uncertainty in demand and exchange rate fluctuations make this problem challenging. This paper considers a supply chain consisting of a supplier and a CBEC platform. Using a distributionally robust optimization approach, we provide optimal overseas warehousing strategies and logistics mode selection for suppliers, given partial distribution information of market demand and exchange rate, such as means, variances, and covariances. It is found that when demand and exchange rate fluctuations are small, the supplier chooses the bonded warehouse logistics mode to reduce costs. Conversely, when demand and exchange rate fluctuations increase, the supplier opts for the direct mail mode to respond flexibly to market risk. The correlation between exchange rate and demand also affects the choice of logistics mode. Specifically, with low correlation, the preference is for the bonded warehouse mode, whereas high correlation leads suppliers to choose the direct mail mode. In addition, the impact of demand and exchange rate fluctuations on suppliers' overseas warehousing volumes depends on the product's profit margin. These findings provide guidance for the selection of CBEC logistics under exchange rate risk. [ABSTRACT FROM AUTHOR]

In the context of the escalating global turnover of cross-border e-commerce, there exists an imperative to delineate a pedagogical paradigm that is congruent with the distinctive attributes of the sector and the developmental trajectories of businesses. Such a paradigm should be designed to enhance the cultivation of talent within the cross-border e-commerce domain, thereby elevating the quality of education and training for professionals in this burgeoning field. This study introduces an applied talent cultivation model called 'Post-Course, Competition, Certificate, and Creation,' which emphasizes an integrative approach to classroom instruction. The model advocates for a synergistic blend of theoretical knowledge and practical application, thereby reinforcing the development of students' hands-on capabilities. It proposes to elevate the comprehensive and vocational competencies of learners through structured internships and competitive events. Additionally, the model seeks to fortify the nexus between certification examinations and academic curricula, with a view to bolstering students' innovative and entrepreneurial competencies. The paper employs the reform of cross-border e-commerce course instruction as a case study, examining the efficacy of the 'Post-Course Competition Certificate and Creation' cultivation model. It delineates the practical outcomes of this model in the cultivation of cross-border e-commerce talent, offering insights into its effectiveness in enhancing educational strategies and professional development. [ABSTRACT FROM AUTHOR]

Cross-border e-commerce data quality and taxation pose a challenge for customs administrations worldwide. The increased volume of transactions involving small packages addressed to individuals has led to more precise controls, imposing a new dynamic in the need to receive accurate data. Globalisation has reached individuals actively participating in international trade as direct importers and exporters, made scalable by the platform-type digital business model. This study uses a qualitative approach to analyse Brazil's Programa Remessa Conforme (Compliant Shipment Program), implemented by companies that treat small parcels in Brazil. It illustrates the program's contribution to improving data quality, controls, and better allocation of human and technological resources in risk management, stimulating good practices and contributing to tax collection. Our findings also hold practical applications that can be used by other emerging markets facing similar issues in managing the risk associated with small packages. [ABSTRACT FROM AUTHOR]

Given that China's cross-border e-commerce (CBEC) industry has garnered significant attention from various overseas suppliers, this study aims to explore the CBEC shopping patterns of domestic Chinese consumers. The objective of the study is to integrate the theory of the e-commerce acceptance model (EAM) and multi-target trust to forecast the cross-border e-commerce shopping (CBECS) behavior of domestic Chinese consumers. PLS-based structural equation modeling analysis indicates that the CBECS intention is significantly influenced by perceived usefulness, perceived ease of use, and perceived risk. With regard to multi-target trust, seller trust impacts perceived risk and ease of use, whereas logistics trust influences perceived usefulness and perceived ease of use. Platform trust influences both seller trust and logistics trust. These results contribute to the advancement of CBEC literature and practices. [ABSTRACT FROM AUTHOR]

Drawing from consumer perception theory, this research has thoughtfully crafted a hypothetical model to explore the intricate dynamics between translation ability and the competitiveness of cross-border e-commerce. Empirical testing of this model was conducted using structural equation modeling (SEM) and real-world sample data. This empirical analysis has brought to light a series of significant findings that underscore the importance of translation ability in shaping consumer perceptions and, consequently, the competitive landscape of cross-border e-commerce. Translation ability positively and substantially influences consumer perception in cross-border e-commerce. The data reflects a strong and positive correlation between translation ability and consumer service perception, technology perception, quality perception, and price perception. This alignment suggests that adept translation significantly enhances how consumers perceive these key dimensions, emphasizing language's pivotal role in consumer interactions within cross-border e-commerce platforms. The positive correlations do not end at the individual perception levels. In turn, consumer service, technology, quality, and price perceptions are positively correlated with cross-border e-commerce competitiveness. These findings emphasize the interconnectedness of these dimensions and underline their collective significance in determining the competitive advantage of e-commerce platforms in the global marketplace. Consumers are influenced by translation ability and the quality of service, technology, product support, and pricing. Based on these findings, this paper posits valuable suggestions and countermeasures to enhance enterprise translation ability and foster the healthy development of cross-border e-commerce. Leveraging these insights, businesses operating in the cross-border e-commerce space can take proactive steps to improve their translation processes, enhance customer service, optimize technology interfaces, elevate product support, maintain product quality, and competitively price their offerings. By doing so, enterprises can position themselves more favorably in the fiercely competitive cross-border e-commerce arena, delivering a more satisfactory shopping experience for consumers and fostering sustainable growth in this ever-evolving global marketplace. [ABSTRACT FROM AUTHOR]

This article discusses the rise of digital platforms and their impact on the global economy. It highlights the lack of research on the international perspective of digital platforms, despite their potential for global expansion. The article introduces a special issue of the International Marketing Review that explores different aspects of digital platforms and ecosystems from an international marketing perspective. The document is a compilation of research articles that provide insights into various aspects of this topic, such as the role of digital platforms in firm internationalization, knowledge sharing in SMEs' internationalization, and the use of social media platforms in startups' international marketing strategies. The articles also examine the relationship between digital ad spend and cross-border e-commerce, self-preferencing in online marketplaces, and consumer resistance to price transparency in high-end digital retail. This compilation of research articles offers valuable information for library patrons conducting research on these specific topics. [Extracted from the article]

Purpose: Cross-border e-commerce continues to garner much attention within the international marketing literature as the world becomes hyperconnected through digital channels. Although there is an abundance of international marketing research on cross-border e-commerce, there is a lack of information regarding the influences of meta-institutional factors, such as a country's level of globalization, on the relationship between digital advertising and cross-border e-commerce buyers. The objective of this research is to examine the effects of digital media ad spend at the country level on cross-border e-commerce buyers across countries under differing degrees of formal (i.e. political) and informal (i.e. cultural) institutional globalization. Design/methodology/approach: This work examines the influence of digital ad spend at the country level and the degree of the country's formal and informal institutional globalization on the share of cross-border e-commerce buyers. We examine this issue within a 21-country, 8-year, unbalanced panel dataset. Findings: We find that there is substantive heterogeneity in degrees of formal (i.e. political) and informal (i.e. cultural) institutional globalization and cross-border e-commerce across countries. Digital ad spend at the country level is positively associated with cross-border e-commerce buyers within a country. A country's level of political globalization enhances, but cultural globalization was found to dampen the positive association. The results indicate that political and cultural globalization of a country both contribute to increased interconnectedness with the global market, yet the nature of the interconnection differs. Originality/value: The findings are informative to international marketing managers navigating the digital landscape and highlight the importance of institutions in international marketing activities. The study specifically demonstrates the varying effects of the meta-institutional factors of a country's level of political and cultural globalization on the association between digital ad spend and cross-border e-commerce buyers at the country level, across a wide variety of countries, thus also contributing to the effort to improve generalizations from multi-country comparisons in international marketing research. [ABSTRACT FROM AUTHOR]

E-commerce supply chain management is a considerably hot research topic in recent decades, and the research findings have been widely published in various well-known international journals. To explore its research status and trend, we employ a bibliometric analysis approach to conduct performance analyses and reveal the publication trend, the main discipline categories, the top contributing countries, institutions, authors, the most influential documents and the dominant academic journals. Furthermore, we shed light on the dynamic evolution tendency of research topics and hotspots in this field. The keywords co-occurrence analysis reveals implications into 7 major clusters including e-commerce operations, supply chain management, pricing strategy, coordination mechanism design, sustainable development management, cross-border e-commerce management, and closed-loop supply chain management. The research gap analysis suggests that future research directions could combine live-streaming, emerging technologies, disruption risk and behavioral preference into the e-commerce supply chain management research. [ABSTRACT FROM AUTHOR]

Cross-border e-commerce has become an important path for industrial upgrading and regional development. The spatial Gini coefficient and location entropy index are used to measure the level of cross-border e-commerce agglomeration of the textile industry in 31 provinces/cities across China from 2012 to 2021, and its influence effect on regional economic growth is explored. The results show that the phenomenon of cross-border e-commerce industrial agglomeration in the textile industry is prominent during the examination period, but the degree of agglomeration is gradually declining. In terms of subregions, the agglomeration degree in Jiangsu, Zhejiang, Hebei, and Hubei provinces is high and the growth rate is fast, indicating a large competitive advantage for the industry, while Shandong province also has a relatively obvious agglomeration but gradually loses its industrial competitive advantage. In terms of the impact effect, the cross-border e-commerce agglomeration of the textile industry promotes regional economic growth. As a new trade mode, the development of cross-border e-commerce agglomeration has a significant promoting effect on regional economic growth, which has reference significance for the formulation of regional industrial development policies. [ABSTRACT FROM AUTHOR]

Despite the cross-border availability of almost all goods and services online due to global Internet access, the domestic origin of sellers remains significant. This study examines the preferences for domestic versus cross-border goods and services in online purchases in the EU online market from 2020 to 2023. We use quantitative methods including ordinary least squares (OLS), decision trees, and spatial autocorrelation analysis. We find significant effects of currency, language(s), and Internet use on domestic online purchases, while cross-border online purchases are further influenced by prices and urbanization. Our analysis reveals patterns based on the origin of the seller: domestic, intra-EU, or non-EU seller. There is a strong preference for electronic goods and services, regardless of the seller's origin, while physical goods show a decreasing preference from domestic to intra-EU and non-EU sellers. Limited geographical effects and spatial patterns in online retailing were found, with a trend towards domestic localization. These differences in e-commerce by seller origin are primarily driven by country-specific characteristics (language(s), currencies) rather than geographic distance. The variation in the purchase of goods and services also depends on their physical and electronic form, that is, digital ordering and/or digital delivery. The expansion of e-commerce and the importance of country-specific characteristics require the development of standards to measure these influences. [ABSTRACT FROM AUTHOR]

With the continuous development of CBEC, logistics networks have become an important and essential component of the e-commerce market. However, in cross-border logistics networks, the complexity and uncertainty of the network often lead to issues such as network imbalance and instability. This article proposes an optimization strategy for cross-border e-commerce (CBEC) logistics networks based on the ADASYN algorithm and conducts experimental verification on it. The experimental results show that this strategy can significantly improve the performance indicators of CBEC logistics services. After optimization, logistics time is reduced by 40%; logistics costs are reduced by 40%; delivery efficiency is improved by 8%. In addition, the differences in node quality and distance have also been effectively reduced. This series of optimization measures would provide useful reference and support for the development of CBEC logistics networks. [ABSTRACT FROM AUTHOR]

This paper examines gender-related philanthropic giving in developing countries amid rising funding needs for gender equality, persistent inequalities, and a global gender backlash. It analyses support from 44 domestic and 40 cross-border foundations reporting to the OECD Centre on Philanthropy and the Creditor Reporting System, respectively. It finds that gender-related domestic disbursements have slightly risen from USD 27 million in 2016 to USD 30 million in 2019. Cross-border philanthropic commitments towards gender equality have tripled in five years, reaching an average of USD 3.4 billion per year in 2021-22. However, 68% of cross-border giving towards developing countries remains gender-blind, potentially reinforcing existing gender gaps. Funding remains limited to few actors, with ten international foundations providing 97% of total cross-border giving for gender equality in developing countries. Finally, intersectoral approaches remain underfunded, with cross-border philanthropic giving addressing simultaneously climate change and gender equality in developing countries amounting on average to USD 557 million per year in 2021-22. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Copyright of Advanced Textile Technology is the property of Zhejiang Sci-Tech University Magazines and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We take the establishment of cross-border e-commerce comprehensive pilot zones as the quasi-natural experiment, based on China’s General Administration of Customs Database, China Customs Online Inquiry Platform, ‘Cross-Border E-Commerce Retail Import Commodity List’ and other data. By employing the staggered DID method, this paper systematically investigates the potential of cross-border e-commerce to enhance the quality of imported products. The research findings reveal the following: Since the introduction of the cross-border e-commerce comprehensive pilot zones, there has been a significant improvement in the quality of imported products in China. These effects, however, vary across different product types and regions, suggesting heterogeneous impacts. The cross-border e-commerce comprehensive pilot zones have facilitated the development of import trade in China through three main avenues: reducing search costs, resolving financing challenges, and lowering tariffs. These measures have collectively contributed to the reduction of trade costs. [ABSTRACT FROM AUTHOR]

Purpose: Cross-Border E-Commerce (CBEC) among Chinese consumers has grown to be a global online retail sector of greater proportion. The rise in CBEC from China is a result of the worldwide market system; it is not a coincidence. However, by connecting the Belt and Road Economic Corridor (CBEC) with the altered global commerce created by contemporary technology surroundings, the Chinese government and China's platform capitalists have played important roles in driving the acceleration of Chinese economic power. E-commerce may provide SMEs a competitive advantage, and by 2030, it is anticipated to make up the majority of the digital economy in the United States. Only 22% of Thai SMEs, however, are using e-commerce. Industry, university, and academic collaboration is a crucial pillar for developing multidisciplinary talent because it helps resolve the conflict between the growing need for cross-border e-commerce expertise and students with skill levels that are incompatible. Method: The researcher investigated the skill gaps that students have in order to work in transcontinental and cross-border e-commerce enterprises by reading a sufficient amount of information and researching human resources theories. Despite the fact that a number of earlier studies have looked at the requirements of international e-commerce businesses and the present training program for developing talent in the industry. Result: In 2018, a trial study was conducted to assess industry-university-research cooperation using data from a forprofit Guangdong e-commerce firm as the third party. This start-up offered cross-border e-commerce business educational programs and a platform enabling employers to locate candidates. Conclusion: Investigators should work to close the existing research gap, comprehend the path that this discipline will take in the future, and assist academic institutions in establishing a rigorous knowledge system. However, industryuniversity-research cooperation in the area of cross-border e-commerce has only just emerged and is beset by a number of issues, including ambiguous training strategies and unstable partnership relationships. [ABSTRACT FROM AUTHOR]

With the rapid development of Internet technology, foreign trade has been integrated with it, resulting in the rapid development of cross-border e-commerce, and for all kinds of enterprises to bring rich profits. However, in the fierce market competition, many enterprises ignore the importance of supply chain in the process of operation, which leads to the frequent bankruptcy of enterprises. To solve this problem, the research focuses on the supply chain performance evaluation of cross-border e-commerce enterprises, and proposes an improved error inverse propagation algorithm supply chain performance evaluation model. The results show that the model has improved the service capability of cross-border e-commerce, the performance of suppliers and the supply chain. The average relative error of the artificial neural network algorithm and the error reverse propagation algorithm is 3.26% and 10.23% respectively, while the average relative error of the expected output and actual output of the artificial neural network algorithm is 2.11%, and the average relative error of the expected output value and actual output of the error reverse propagation algorithm is 6.78%. It can be seen that the artificial neural network algorithm can effectively improve the performance level of the supply chain, and under this algorithm, the objectivity of the weights and the accuracy and efficiency of the prediction results are guaranteed. Therefore, this study has important scientific value and practical significance for understanding and improving the supply chain management of cross-border e-commerce enterprises. [ABSTRACT FROM AUTHOR]

This paper proposes the shortest path optimization algorithm for domestic and overseas e-commerce logistics based on a bilateral search method. This paper uses the logistics distribution route optimization algorithm based on the shortest path to set the collaborative parameters. Then, it builds an adaptive optimization model for the grid planning of domestic and overseas e-commerce logistics path. The route is optimized. Then, the PSO and genetic algorithm are integrated to establish the logistics path planning model of domestic and overseas e-commerce. The superiority of the proposed route optimization algorithm in domestic and overseas e-commerce logistics distribution is verified through simulation experiments. This algorithm has high spatial positioning efficiency and high transportation efficiency. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to identify the variables influencing customer satisfaction in cross-border e-commerce. The variables considered include service quality, information availability, website performance, reliability, security, product variety, price value, delivery, customer service, and personalization. Method: The study employs a quantitative approach, using primary data obtained through a questionnaire survey. Classical assumption tests and multiple linear regression analyses were conducted using SPSS software to evaluate the hypothesized model. A total of 342 validated responses were analyzed, focusing on respondents with experience in cross-border e-commerce transactions. Result: The findings reveal that service quality, security, product variety, price value, and delivery have a significant and positive effect on customer satisfaction. Conversely, information availability, website performance, reliability, customer service, and personalization were found to have no significant impact. Practical Implications for Economic Growth and Development: This research offers valuable insights for cross-border e-commerce businesses to enhance the key drivers of customer satisfaction. Improving these factors can increase customer retention and loyalty, leading to higher repeat purchases and trust in the platforms, thereby boosting sales and revenue. By attracting a larger international customer base and expanding market share, businesses can achieve a competitive advantage in the global marketplace. This contributes to the promotion of international trade and fosters economic integration.

The article discusses the significant role of online consumer reviews in e-commerce and the economy, highlighting how authentic reviews contribute to trust and value creation. It also addresses the issue of fake reviews, which undermine trust, increase costs, and lower consumer surplus. The research presented in the article examines various aspects of online reviews, including the prevalence of fake reviews, consumer behavior in reviewing sellers' offerings, and the role of trust in advertising effectiveness. Additionally, the article explores the potential of virtual communities in facilitating cross-border e-commerce and the use of prediction markets to enhance forecasting accuracy through human-machine hybrid systems. [Extracted from the article]