Taking the cooperation between China and Pakistan as an example,this paper expounds on the current situation,governance concept,obstacles to cooperation,and differentiated policies of Western countries in the areas of...Taking the cooperation between China and Pakistan as an example,this paper expounds on the current situation,governance concept,obstacles to cooperation,and differentiated policies of Western countries in the areas of cybersecurity,the role of new e-commerce platforms,and digital sovereignty of BRICS countries.It aims to promote inter-governmental cooperation through civil dialogue and lead information technology cooperation among developing countries through the BRICS mechanism,as well as to collaborate to establish guidelines for global cybersecurity,new e-commerce platforms,and digital sovereignty.展开更多
The purpose of this study is to analyze factors affecting the purchasing behavior of low-income Vietnamese on e-commerce platforms.700 questionnaires were dispersed among universities,coffee shops,and Facebook communi...The purpose of this study is to analyze factors affecting the purchasing behavior of low-income Vietnamese on e-commerce platforms.700 questionnaires were dispersed among universities,coffee shops,and Facebook community groups in Vietnam.Respondents to the questionnaires were consumers of those places in Vietnam,which were randomly selected.Finally,SEM analysis was used on the data to test the hypotheses of the study.The study identified that“Subjective norms”and“Consumer attitudes”have no effect on shopping behavior on e-commerce platforms,while“Perceived behavioral control”is most affected and“Perceived risks”are least affected on shopping behavior.展开更多
With the rapid development of the Internet and e-commerce,e-commerce platforms have accumulated huge amounts of user behavior data.The emergence of big data technology provides a powerful means for in-depth analysis o...With the rapid development of the Internet and e-commerce,e-commerce platforms have accumulated huge amounts of user behavior data.The emergence of big data technology provides a powerful means for in-depth analysis of these data and insight into user behavior patterns and preferences.This paper elaborates on the application of big data technology in the analysis of user behavior on e-commerce platforms,including the technical methods of data collection,storage,processing and analysis,as well as the specific applications in the construction of user profiles,precision marketing,personalized recommendation,user retention and churn analysis,etc.,and discusses the challenges and countermeasures faced in the application.Through the study of actual cases,it demonstrates the remarkable effectiveness of big data technology in enhancing the competitiveness of e-commerce platforms and user experience.展开更多
Purpose-This study aims to investigate the differences in consumer reviews across multiple e-commerce platforms to better assist consumers in making informed decisions.By examining the specific content of these differ...Purpose-This study aims to investigate the differences in consumer reviews across multiple e-commerce platforms to better assist consumers in making informed decisions.By examining the specific content of these differentiated reviews,the study seeks to provide insights that can enhance e-commerce services and improve consumer satisfaction.Design/methodology/approach-The research utilizes the latent Dirichlet allocation(LDA)method for text analysis to identify the varying concerns of consumers across different e-commerce platforms for the same product.Additionally,the study expands the sentiment dictionary to address polysemy issues,allowing for a more precise capture of sentiment differences among consumers.A non-parametric test is employed to compare reviews across multiple platforms,providing a comprehensive analysis of review disparities.Findings-The findings reveal that consumer concerns and sentiments vary significantly across different e-commerce platforms,even for the same product.The combination of text analysis and non-parametric testing highlights the objectivity of the research,offering valuable evidence and recommendations for improving e-commerce services and enhancing the shopping experience.Originality/value-This study is original in its approach to combining text analysis with non-parametric testing to examine multi-platform review differences.The research not only contributes to the understanding of consumer behavior in the context of e-commerce but also provides practical suggestions for platforms and consumers,aiming to optimize service quality and consumer satisfaction.展开更多
In the era of big data,E-commerce plays an increasingly important role,and steel E-commerce certainly occupies a positive position.However,it is very difficult to choose satisfactory steel raw materials from diverse s...In the era of big data,E-commerce plays an increasingly important role,and steel E-commerce certainly occupies a positive position.However,it is very difficult to choose satisfactory steel raw materials from diverse steel commodities online on steel E-commerce platforms in the purchase of staffs.In order to improve the efficiency of purchasers searching for commodities on the steel E-commerce platforms,we propose a novel deep learning-based loss function for named entity recognition(NER).Considering the impacts of small sample and imbalanced data,in our NER scheme,the focal loss,the label smoothing,and the cross entropy are incorporated into a lite bidirectional encoder representations from transformers(BERT)model to avoid the over-fitting.Moreover,through the analysis of different classic annotation techniques used to tag data,an ideal one is chosen for the training model in our proposed scheme.Experiments are conducted on Chinese steel E-commerce datasets.The experimental results show that the training time of a lite BERT(ALBERT)-based method is much shorter than that of BERT-based models,while achieving the similar computational performance in terms of metrics precision,recall,and F1 with BERT-based models.Meanwhile,our proposed approach performs much better than that of combining Word2Vec,bidirectional long short-term memory(Bi-LSTM),and conditional random field(CRF)models,in consideration of training time and F1.展开更多
With the continuous development of artificial intelligence technology,its application field has gradually expanded.To further apply the deep reinforcement learning technology to the field of dynamic pricing,we build a...With the continuous development of artificial intelligence technology,its application field has gradually expanded.To further apply the deep reinforcement learning technology to the field of dynamic pricing,we build an intelligent dynamic pricing system,introduce the reinforcement learning technology related to dynamic pricing,and introduce existing research on the number of suppliers(single supplier and multiple suppliers),environmental models,and selection algorithms.A two-period dynamic pricing game model is designed to assess the optimal pricing strategy for e-commerce platforms under two market conditions and two consumer participation conditions.The first step is to analyze the pricing strategies of e-commerce platforms in mature markets,analyze the optimal pricing and profits of various enterprises under different strategy combinations,compare different market equilibriums and solve the Nash equilibrium.Then,assuming that all consumers are naive in the market,the pricing strategy of the duopoly e-commerce platform in emerging markets is analyzed.By comparing and analyzing the optimal pricing and total profit of each enterprise under different strategy combinations,the subgame refined Nash equilibrium is solved.Finally,assuming that the market includes all experienced consumers,the pricing strategy of the duopoly e-commerce platform in emerging markets is analyzed.展开更多
The integration of the digital economy with the traditional sales industry has prompted the robust growth of e-commerce.Live-streaming e-commerce,as a novel business model,has gained immense popularity.However,is⁃sues...The integration of the digital economy with the traditional sales industry has prompted the robust growth of e-commerce.Live-streaming e-commerce,as a novel business model,has gained immense popularity.However,is⁃sues of regulatory loopholes and inefficacy continue to surface.In live-streaming e-commerce,the head anchor,as host of the live-streaming rooms,wields significant influence in determining the goods to be showcased and marketed.Such influence expands risks such as infringement of intellectual property rights.Yet the uncertainty in law concerning the identity of head anchors results in a lack of accountability.Current norms are inadequate in constraining the group of head anchors.Drawing on the principles of risk control,the alignment between benefit and risk,and the theory of so⁃cial cost control,this paper argues that it is both justifiable and feasible to impose a duty to exercise reasonable care on head anchors.To effectively enshrine this duty in law,it is of great importance to redefine the mechanism of identifying the duty of care of head anchors in live-streaming e-commerce.In particular,the contents of the duty of care under⁃taken by head anchors and the consequences of breaching such a duty of care should be clarified.展开更多
With deepening digital technology applications in international trade, e-commerce platforms have become a major avenue for firm export. Based on a multicountry, multi-product heterogeneous firms trade theory model, th...With deepening digital technology applications in international trade, e-commerce platforms have become a major avenue for firm export. Based on a multicountry, multi-product heterogeneous firms trade theory model, this paper investigates the firm export effects of e-commerce platforms, and empirically tests the inferences from the model using data from Alibaba China Station, China industrial enterprises data, and China customs data from 2000 to 2009. Our estimation result shows that overall, e-commerce platforms significantly increase firm export probability and volume;e-commerce platforms enable firms to export products of different types to more countries by reducing the cost of information and export markets threshold while raising trade efficiency. Further analysis of enterprise heterogeneity reveals that SMEs, firms in China's eastern region, and general exporters benefit more from e-commerce platforms than other types of firms do.展开更多
Cross-border e-commerce,as a new form of international trade,has shown great development potential in the context of the“Belt and Road”initiative.Based on the cross-border e-commerce export data from 2015 to 2024,th...Cross-border e-commerce,as a new form of international trade,has shown great development potential in the context of the“Belt and Road”initiative.Based on the cross-border e-commerce export data from 2015 to 2024,this paper analyzes the influencing factors of China's cross-border e-commerce exports to countries along the“Belt and Road”by constructing an econometric model.The study found that factors such as the perfection of digital infrastructure,the efficiency of logistics and transportation,the convenience of payment and settlement,and the penetration rate of consumers online shopping significantly affect the export scale of cross-border e-commerce.Institutional factors such as the development level of e-commerce platforms in countries along the route,market access thresholds,and tariff policies also play an important role.Based on the research results,suggestions are put forward to strengthen the construction of cross-border payment system,optimize the logistics distribution network,promote customs clearance facilitation,and deepen cooperation in the field of e-commerce,to provide references for promoting the development of China's crossborder e-commerce exports to countries along the“Belt and Road.”展开更多
CKD/IKD is a new technology management method which should be used instead of commerce mode of CBU.In the international trade,as to the products with fast update,complex structure,mass variety,complicated sales states...CKD/IKD is a new technology management method which should be used instead of commerce mode of CBU.In the international trade,as to the products with fast update,complex structure,mass variety,complicated sales states and multi- mode configuration,when they are exported to enterprises without independent technology of products design from the OEM suppli- ers in the form of CKD/IKD.The all-around intellectualized management of CKD/IKD customization,purchase and supply will be realized by transforming automatically between CKD/IKD orders and parts orders in ERP systems through KD virtual collabo- rative center,combining the e-commerce sales system,ERP,SCM,CRM,PDM and export management system.展开更多
Cross-border e-commerce has emerged as a new growth point in foreign trade.While the Dalian comprehensive pilot zone has made some progress,its development is constrained by issues such as the global economic slowdown...Cross-border e-commerce has emerged as a new growth point in foreign trade.While the Dalian comprehensive pilot zone has made some progress,its development is constrained by issues such as the global economic slowdown,the relatively small scale of cross-border e-commerce,a high concentration of export commodities,imperfect information mechanisms,and high overall costs.To address these challenges,this paper explores the importance of the construction of the Dalian comprehensive pilot zone for cross-border e-commerce to the transformation and upgrading of exports.Based on my research project,“Research on Path Optimization of Financial Support for the Development of Advanced Manufacturing Clusters in Dalian,”this paper analyzes the current challenges and limiting factors and proposes corresponding countermeasures and suggestions.展开更多
This paper systematically reviews the development trajectory of rural e-commerce in China from the late 1990s to the present,categorizing it into three distinct phases:the embryonic stage,the growth stage,and the boom...This paper systematically reviews the development trajectory of rural e-commerce in China from the late 1990s to the present,categorizing it into three distinct phases:the embryonic stage,the growth stage,and the boom stage.It elaborates on the evolutionary process through which rural e-commerce,propelled by strong policy support,driven by market demand,and facilitated by infrastructure improvements,has progressed from providing information services to becoming a pivotal force in advancing rural revitalization.The paper summarizes governmental support measures encompassing policies,training,and logistics,while also conducting an in-depth analysis of the current challenges and opportunities,including infrastructure limitations,market competition,the digital divide,and the application of AI technologies.展开更多
Under the background of"Digital Commerce for Rural Vitalization",rural E-commerce has experienced rapid development.However,agricultural products like strawberries,often produced by small-scale,fragmented,an...Under the background of"Digital Commerce for Rural Vitalization",rural E-commerce has experienced rapid development.However,agricultural products like strawberries,often produced by small-scale,fragmented,and less competitive individual farmers,struggle to meet the compliance and scalability demands of E-commerce,thereby constraining high-quality local economic development.Aiming to address this issue,this paper,guided by relevant policies and strategies,employs case analysis and logical deduction to explore the industrialization path of the"Cooperative+E-commerce"model for the strawberry industry.The research finds that by optimizing the cooperative's organizational structure,implementing multi-channel E-commerce strategies,upgrading the supply chain(including cold chain and quality traceability),and engaging in collaborative brand building,a robust industrial system can be formed.Supplemented by benefit evaluation,policy support,and regulatory oversight,this system can effectively bridge small-scale production with the broader market.This study concludes that this pathway can enhance the added value of the strawberry industry,increase farmer incomes,and provide practical insights for promoting high-quality local economic development.展开更多
AI applications have become ubiquitous,bringing significant convenience to various industries.In e-commerce,AI can enhance product recommendations for individuals and provide businesses with more accurate predictions ...AI applications have become ubiquitous,bringing significant convenience to various industries.In e-commerce,AI can enhance product recommendations for individuals and provide businesses with more accurate predictions for market strategy development.However,if the data used for AI applications is damaged or lost,it will inevitably affect the effectiveness of these AI applications.Therefore,it is essential to verify the integrity of e-commerce data.Although existing Provable Data Possession(PDP)protocols can verify the integrity of cloud data,they are not suitable for e-commerce scenarios due to the limited computational capabilities of edge servers,which cannot handle the high computational overhead of generating homomorphic verification tags in PDP.To address this issue,we propose PDP with Outsourced Tag Generation for AI-driven e-commerce,which outsources the computation of homomorphic verification tags to cloud servers while introducing a lightweight verification method to ensure that the tags match the uploaded data.Additionally,the proposed scheme supports dynamic operations such as adding,deleting,and modifying data,enhancing its practicality.Finally,experiments show that the additional computational overhead introduced by outsourcing homomorphic verification tags is acceptable compared to the original PDP.展开更多
This research introduces a novel approach to improve and optimize the predictive capacity of consumer purchase behaviors on e-commerce platforms. This study presented an introduction to the fundamental concepts of the...This research introduces a novel approach to improve and optimize the predictive capacity of consumer purchase behaviors on e-commerce platforms. This study presented an introduction to the fundamental concepts of the logistic regression algorithm. In addition, it analyzed user data obtained from an e-commerce platform. The original data were preprocessed, and a consumer purchase prediction model was developed for the e-commerce platform using the logistic regression method. The comparison study used the classic random forest approach, further enhanced by including the K-fold cross-validation method. Evaluation of the accuracy of the model’s classification was conducted using performance indicators that included the accuracy rate, the precision rate, the recall rate, and the F1 score. A visual examination determined the significance of the findings. The findings suggest that employing the logistic regression algorithm to forecast customer purchase behaviors on e-commerce platforms can improve the efficacy of the approach and yield more accurate predictions. This study serves as a valuable resource for improving the precision of forecasting customers’ purchase behaviors on e-commerce platforms. It has significant practical implications for optimizing the operational efficiency of e-commerce platforms.展开更多
In the contemporary digital landscape,the proliferation of information has led to an increasing diversity of channels through which consumers obtain information,resulting in a gradual transformation of shopping habits...In the contemporary digital landscape,the proliferation of information has led to an increasing diversity of channels through which consumers obtain information,resulting in a gradual transformation of shopping habits.Consumers now frequently rely on external sources to make well-informed purchasing decisions,leading to the emergence of live shopping as a prominent avenue for gathering product information and completing transactions.E-commerce live streaming has experienced rapid growth,leveraging its ability to generate traffic and capture consumer attention.The integration of content and live streaming not only meets users’psychological needs but also facilitates seamless communication between buyers and sellers.From the perspective of content marketing typologies,this paper examines content marketing across three key dimensions:informational content,entertainment content,and emotional content.It further explores the impact of content marketing on consumers’purchase intentions within the context of e-commerce live streaming.展开更多
With the rapid growth of the“Internet+Healthcare”model,pharmaceutical e-commerce has swiftly gained a substantial market share in China’s pharmaceutical retail sector,thanks to its competitive prices,convenient pur...With the rapid growth of the“Internet+Healthcare”model,pharmaceutical e-commerce has swiftly gained a substantial market share in China’s pharmaceutical retail sector,thanks to its competitive prices,convenient purchasing channels,and online consultation services.This has put considerable pressure on traditional retail chain pharmacies.This paper provides an overview of the current state of pharmaceutical e-commerce,and analyzes the main challenges faced by retail chain pharmacies,including intense price competition,changes in consumer habits,insufficient digitalization and severe homogenized competition.Drawing on industry practices and case studies,the paper proposes strategies to enhance competitiveness,such as promoting digital transformation and online-offline(O2O)integration,strengthening pharmacist services and health management capabilities,optimizing supply chain management,building differentiated brand advantages,and proactively responding to policy and regulatory requirements.The study argues that,while leveraging their advantages in specialization,community-based operations,service orientation and retail chain pharmacies,should actively embrace digitalization and industrial collaboration in order to achieve sustainable development in the context of e-commerce.This research provides theoretical references for the strategic transformation of retail chain pharmacies and offers practical significance for the high-quality development of the pharmaceutical retail industry.展开更多
Continuously broadening the channels for farmers’income growth and effectively narrowing the urban-rural income gap is the central task in the new development stage to comprehensively promote rural revitalization and...Continuously broadening the channels for farmers’income growth and effectively narrowing the urban-rural income gap is the central task in the new development stage to comprehensively promote rural revitalization and achieve the common prosperity of farmers and rural areas.The promotion of rural e-commerce and the enhancement of farmers’digital skills provide potential for this endeavor.Taking Zhejiang province,a demonstration area for common prosperity,as the research object,this study collected 1,119 valid questionnaires through field surveys.Based on the reconstruction of a comprehensive evaluation index for farmers’digital skills using principal component analysis,this paper further investigates the relationship between the level of farmers’digital skills and their income by employing the CRITIC weighting method,mediating mechanism testing,and grouped regression analysis.The research finds that improving digital skills can significantly enhance farmers’income levels,with the income growth effect being more pronounced among older groups with lower educational levels and limited digital skills.Digital skills not only directly promote farmers’income growth but also indirectly further enhance their income level by increasing their use of rural e-commerce,and thus the use of rural e-commerce serves as a significant mediating variable in the relationship between digital skills and farmers’income growth.These conclusions remain valid after a series of robustness tests,including endogeneity tests,the replacement of weight designs for digital skills,and the exclusion of outlier samples.Finally,the paper proposes policy recommendations such as offering more digital skills and e-commerce training,encouraging the return of new rural elites to promote regional clusters of rural e-commerce,and providing targeted policy support for the development of rural e-commerce.展开更多
This paper proposes the assumption of E-commerce platform of the agricultural products based on the F2C2B mode. The whole e-commerce model is guided by the idea of the supply chain management from the perspective of t...This paper proposes the assumption of E-commerce platform of the agricultural products based on the F2C2B mode. The whole e-commerce model is guided by the idea of the supply chain management from the perspective of the modern system, and the e-commerce integration model from customer to supplier is implemented, and the whole is optimized. E-commerce to cloud computing as the basic environment, the construction of public cloud services and private cloud resources, based on public cloud to the SaaS way to provide services to customers, focus on business search and business collaboration, make full use of the lnternet, modern communications technology to provide the real- service. The development of agricultural economy, no longer depends only on the number of some traditional agricultural resources, but also depends on the modern technology, information access and use. Through the development of basic network technology, by virtue of some modern electronic information technology and some other means that can improve the intelligence of agricultural use of the information resources, the proposed model provides the new methodology of the solution.展开更多
文摘Taking the cooperation between China and Pakistan as an example,this paper expounds on the current situation,governance concept,obstacles to cooperation,and differentiated policies of Western countries in the areas of cybersecurity,the role of new e-commerce platforms,and digital sovereignty of BRICS countries.It aims to promote inter-governmental cooperation through civil dialogue and lead information technology cooperation among developing countries through the BRICS mechanism,as well as to collaborate to establish guidelines for global cybersecurity,new e-commerce platforms,and digital sovereignty.
文摘The purpose of this study is to analyze factors affecting the purchasing behavior of low-income Vietnamese on e-commerce platforms.700 questionnaires were dispersed among universities,coffee shops,and Facebook community groups in Vietnam.Respondents to the questionnaires were consumers of those places in Vietnam,which were randomly selected.Finally,SEM analysis was used on the data to test the hypotheses of the study.The study identified that“Subjective norms”and“Consumer attitudes”have no effect on shopping behavior on e-commerce platforms,while“Perceived behavioral control”is most affected and“Perceived risks”are least affected on shopping behavior.
文摘With the rapid development of the Internet and e-commerce,e-commerce platforms have accumulated huge amounts of user behavior data.The emergence of big data technology provides a powerful means for in-depth analysis of these data and insight into user behavior patterns and preferences.This paper elaborates on the application of big data technology in the analysis of user behavior on e-commerce platforms,including the technical methods of data collection,storage,processing and analysis,as well as the specific applications in the construction of user profiles,precision marketing,personalized recommendation,user retention and churn analysis,etc.,and discusses the challenges and countermeasures faced in the application.Through the study of actual cases,it demonstrates the remarkable effectiveness of big data technology in enhancing the competitiveness of e-commerce platforms and user experience.
基金supported by the General Project of Philosophy and Social Science Research in Jiangsu Universities[Nos.2022SJYB0185]National Natural Science Foundation of China[Nos.72201134]the Natural Science Foundation of Jiangsu Province[Nos.BK20210632]。
文摘Purpose-This study aims to investigate the differences in consumer reviews across multiple e-commerce platforms to better assist consumers in making informed decisions.By examining the specific content of these differentiated reviews,the study seeks to provide insights that can enhance e-commerce services and improve consumer satisfaction.Design/methodology/approach-The research utilizes the latent Dirichlet allocation(LDA)method for text analysis to identify the varying concerns of consumers across different e-commerce platforms for the same product.Additionally,the study expands the sentiment dictionary to address polysemy issues,allowing for a more precise capture of sentiment differences among consumers.A non-parametric test is employed to compare reviews across multiple platforms,providing a comprehensive analysis of review disparities.Findings-The findings reveal that consumer concerns and sentiments vary significantly across different e-commerce platforms,even for the same product.The combination of text analysis and non-parametric testing highlights the objectivity of the research,offering valuable evidence and recommendations for improving e-commerce services and enhancing the shopping experience.Originality/value-This study is original in its approach to combining text analysis with non-parametric testing to examine multi-platform review differences.The research not only contributes to the understanding of consumer behavior in the context of e-commerce but also provides practical suggestions for platforms and consumers,aiming to optimize service quality and consumer satisfaction.
基金This work was supported in part by the National Natural Science Foundation of China under Grants U1836106 and 81961138010in part by the Beijing Natural Science Foundation under Grants M21032 and 19L2029+2 种基金in part by the Beijing Intelligent Logistics System Collaborative Innovation Center under Grant BILSCIC-2019KF-08in part by the Scientific and Technological Innovation Foundation of Shunde Graduate School,USTB,under Grants BK20BF010 and BK19BF006in part by the Fundamental Research Funds for the University of Science and Technology Beijing under Grant FRF-BD-19-012A.
文摘In the era of big data,E-commerce plays an increasingly important role,and steel E-commerce certainly occupies a positive position.However,it is very difficult to choose satisfactory steel raw materials from diverse steel commodities online on steel E-commerce platforms in the purchase of staffs.In order to improve the efficiency of purchasers searching for commodities on the steel E-commerce platforms,we propose a novel deep learning-based loss function for named entity recognition(NER).Considering the impacts of small sample and imbalanced data,in our NER scheme,the focal loss,the label smoothing,and the cross entropy are incorporated into a lite bidirectional encoder representations from transformers(BERT)model to avoid the over-fitting.Moreover,through the analysis of different classic annotation techniques used to tag data,an ideal one is chosen for the training model in our proposed scheme.Experiments are conducted on Chinese steel E-commerce datasets.The experimental results show that the training time of a lite BERT(ALBERT)-based method is much shorter than that of BERT-based models,while achieving the similar computational performance in terms of metrics precision,recall,and F1 with BERT-based models.Meanwhile,our proposed approach performs much better than that of combining Word2Vec,bidirectional long short-term memory(Bi-LSTM),and conditional random field(CRF)models,in consideration of training time and F1.
基金His work is supported by Scientific research planning project of Jilin Provincial Department of education in 2020:Analysis of the impact of industrial upgrading on employment of college students in Jilin Province(No.JJKH20200505JY).
文摘With the continuous development of artificial intelligence technology,its application field has gradually expanded.To further apply the deep reinforcement learning technology to the field of dynamic pricing,we build an intelligent dynamic pricing system,introduce the reinforcement learning technology related to dynamic pricing,and introduce existing research on the number of suppliers(single supplier and multiple suppliers),environmental models,and selection algorithms.A two-period dynamic pricing game model is designed to assess the optimal pricing strategy for e-commerce platforms under two market conditions and two consumer participation conditions.The first step is to analyze the pricing strategies of e-commerce platforms in mature markets,analyze the optimal pricing and profits of various enterprises under different strategy combinations,compare different market equilibriums and solve the Nash equilibrium.Then,assuming that all consumers are naive in the market,the pricing strategy of the duopoly e-commerce platform in emerging markets is analyzed.By comparing and analyzing the optimal pricing and total profit of each enterprise under different strategy combinations,the subgame refined Nash equilibrium is solved.Finally,assuming that the market includes all experienced consumers,the pricing strategy of the duopoly e-commerce platform in emerging markets is analyzed.
文摘The integration of the digital economy with the traditional sales industry has prompted the robust growth of e-commerce.Live-streaming e-commerce,as a novel business model,has gained immense popularity.However,is⁃sues of regulatory loopholes and inefficacy continue to surface.In live-streaming e-commerce,the head anchor,as host of the live-streaming rooms,wields significant influence in determining the goods to be showcased and marketed.Such influence expands risks such as infringement of intellectual property rights.Yet the uncertainty in law concerning the identity of head anchors results in a lack of accountability.Current norms are inadequate in constraining the group of head anchors.Drawing on the principles of risk control,the alignment between benefit and risk,and the theory of so⁃cial cost control,this paper argues that it is both justifiable and feasible to impose a duty to exercise reasonable care on head anchors.To effectively enshrine this duty in law,it is of great importance to redefine the mechanism of identifying the duty of care of head anchors in live-streaming e-commerce.In particular,the contents of the duty of care under⁃taken by head anchors and the consequences of breaching such a duty of care should be clarified.
文摘With deepening digital technology applications in international trade, e-commerce platforms have become a major avenue for firm export. Based on a multicountry, multi-product heterogeneous firms trade theory model, this paper investigates the firm export effects of e-commerce platforms, and empirically tests the inferences from the model using data from Alibaba China Station, China industrial enterprises data, and China customs data from 2000 to 2009. Our estimation result shows that overall, e-commerce platforms significantly increase firm export probability and volume;e-commerce platforms enable firms to export products of different types to more countries by reducing the cost of information and export markets threshold while raising trade efficiency. Further analysis of enterprise heterogeneity reveals that SMEs, firms in China's eastern region, and general exporters benefit more from e-commerce platforms than other types of firms do.
文摘Cross-border e-commerce,as a new form of international trade,has shown great development potential in the context of the“Belt and Road”initiative.Based on the cross-border e-commerce export data from 2015 to 2024,this paper analyzes the influencing factors of China's cross-border e-commerce exports to countries along the“Belt and Road”by constructing an econometric model.The study found that factors such as the perfection of digital infrastructure,the efficiency of logistics and transportation,the convenience of payment and settlement,and the penetration rate of consumers online shopping significantly affect the export scale of cross-border e-commerce.Institutional factors such as the development level of e-commerce platforms in countries along the route,market access thresholds,and tariff policies also play an important role.Based on the research results,suggestions are put forward to strengthen the construction of cross-border payment system,optimize the logistics distribution network,promote customs clearance facilitation,and deepen cooperation in the field of e-commerce,to provide references for promoting the development of China's crossborder e-commerce exports to countries along the“Belt and Road.”
文摘CKD/IKD is a new technology management method which should be used instead of commerce mode of CBU.In the international trade,as to the products with fast update,complex structure,mass variety,complicated sales states and multi- mode configuration,when they are exported to enterprises without independent technology of products design from the OEM suppli- ers in the form of CKD/IKD.The all-around intellectualized management of CKD/IKD customization,purchase and supply will be realized by transforming automatically between CKD/IKD orders and parts orders in ERP systems through KD virtual collabo- rative center,combining the e-commerce sales system,ERP,SCM,CRM,PDM and export management system.
文摘Cross-border e-commerce has emerged as a new growth point in foreign trade.While the Dalian comprehensive pilot zone has made some progress,its development is constrained by issues such as the global economic slowdown,the relatively small scale of cross-border e-commerce,a high concentration of export commodities,imperfect information mechanisms,and high overall costs.To address these challenges,this paper explores the importance of the construction of the Dalian comprehensive pilot zone for cross-border e-commerce to the transformation and upgrading of exports.Based on my research project,“Research on Path Optimization of Financial Support for the Development of Advanced Manufacturing Clusters in Dalian,”this paper analyzes the current challenges and limiting factors and proposes corresponding countermeasures and suggestions.
基金Supported by 2023 Key Discipline Construction Project of Zhejiang Open University:E-commerce Major(ZDZY202301).
文摘This paper systematically reviews the development trajectory of rural e-commerce in China from the late 1990s to the present,categorizing it into three distinct phases:the embryonic stage,the growth stage,and the boom stage.It elaborates on the evolutionary process through which rural e-commerce,propelled by strong policy support,driven by market demand,and facilitated by infrastructure improvements,has progressed from providing information services to becoming a pivotal force in advancing rural revitalization.The paper summarizes governmental support measures encompassing policies,training,and logistics,while also conducting an in-depth analysis of the current challenges and opportunities,including infrastructure limitations,market competition,the digital divide,and the application of AI technologies.
基金General Project of Philosophy and Social Sciences Research in Universities of Jiangsu Province,2024(2024SJYB1650).
文摘Under the background of"Digital Commerce for Rural Vitalization",rural E-commerce has experienced rapid development.However,agricultural products like strawberries,often produced by small-scale,fragmented,and less competitive individual farmers,struggle to meet the compliance and scalability demands of E-commerce,thereby constraining high-quality local economic development.Aiming to address this issue,this paper,guided by relevant policies and strategies,employs case analysis and logical deduction to explore the industrialization path of the"Cooperative+E-commerce"model for the strawberry industry.The research finds that by optimizing the cooperative's organizational structure,implementing multi-channel E-commerce strategies,upgrading the supply chain(including cold chain and quality traceability),and engaging in collaborative brand building,a robust industrial system can be formed.Supplemented by benefit evaluation,policy support,and regulatory oversight,this system can effectively bridge small-scale production with the broader market.This study concludes that this pathway can enhance the added value of the strawberry industry,increase farmer incomes,and provide practical insights for promoting high-quality local economic development.
基金funded by the Taiwan Comprehensive University System and the National Science and Technology Council of Taiwan under grant number NSTC 111-2410-H-019-006-MY3Additionally,this work was financially/partially supported by the Advanced Institute of Manufacturing with High-tech Innovations(AIM-HI)from the Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education(MOE)in Taiwan+1 种基金the National Natural Science Foundation of China,No.62402444the Zhejiang Provincial Natural Science Foundation of China,No.LQ24F020012.
文摘AI applications have become ubiquitous,bringing significant convenience to various industries.In e-commerce,AI can enhance product recommendations for individuals and provide businesses with more accurate predictions for market strategy development.However,if the data used for AI applications is damaged or lost,it will inevitably affect the effectiveness of these AI applications.Therefore,it is essential to verify the integrity of e-commerce data.Although existing Provable Data Possession(PDP)protocols can verify the integrity of cloud data,they are not suitable for e-commerce scenarios due to the limited computational capabilities of edge servers,which cannot handle the high computational overhead of generating homomorphic verification tags in PDP.To address this issue,we propose PDP with Outsourced Tag Generation for AI-driven e-commerce,which outsources the computation of homomorphic verification tags to cloud servers while introducing a lightweight verification method to ensure that the tags match the uploaded data.Additionally,the proposed scheme supports dynamic operations such as adding,deleting,and modifying data,enhancing its practicality.Finally,experiments show that the additional computational overhead introduced by outsourcing homomorphic verification tags is acceptable compared to the original PDP.
文摘This research introduces a novel approach to improve and optimize the predictive capacity of consumer purchase behaviors on e-commerce platforms. This study presented an introduction to the fundamental concepts of the logistic regression algorithm. In addition, it analyzed user data obtained from an e-commerce platform. The original data were preprocessed, and a consumer purchase prediction model was developed for the e-commerce platform using the logistic regression method. The comparison study used the classic random forest approach, further enhanced by including the K-fold cross-validation method. Evaluation of the accuracy of the model’s classification was conducted using performance indicators that included the accuracy rate, the precision rate, the recall rate, and the F1 score. A visual examination determined the significance of the findings. The findings suggest that employing the logistic regression algorithm to forecast customer purchase behaviors on e-commerce platforms can improve the efficacy of the approach and yield more accurate predictions. This study serves as a valuable resource for improving the precision of forecasting customers’ purchase behaviors on e-commerce platforms. It has significant practical implications for optimizing the operational efficiency of e-commerce platforms.
文摘In the contemporary digital landscape,the proliferation of information has led to an increasing diversity of channels through which consumers obtain information,resulting in a gradual transformation of shopping habits.Consumers now frequently rely on external sources to make well-informed purchasing decisions,leading to the emergence of live shopping as a prominent avenue for gathering product information and completing transactions.E-commerce live streaming has experienced rapid growth,leveraging its ability to generate traffic and capture consumer attention.The integration of content and live streaming not only meets users’psychological needs but also facilitates seamless communication between buyers and sellers.From the perspective of content marketing typologies,this paper examines content marketing across three key dimensions:informational content,entertainment content,and emotional content.It further explores the impact of content marketing on consumers’purchase intentions within the context of e-commerce live streaming.
文摘With the rapid growth of the“Internet+Healthcare”model,pharmaceutical e-commerce has swiftly gained a substantial market share in China’s pharmaceutical retail sector,thanks to its competitive prices,convenient purchasing channels,and online consultation services.This has put considerable pressure on traditional retail chain pharmacies.This paper provides an overview of the current state of pharmaceutical e-commerce,and analyzes the main challenges faced by retail chain pharmacies,including intense price competition,changes in consumer habits,insufficient digitalization and severe homogenized competition.Drawing on industry practices and case studies,the paper proposes strategies to enhance competitiveness,such as promoting digital transformation and online-offline(O2O)integration,strengthening pharmacist services and health management capabilities,optimizing supply chain management,building differentiated brand advantages,and proactively responding to policy and regulatory requirements.The study argues that,while leveraging their advantages in specialization,community-based operations,service orientation and retail chain pharmacies,should actively embrace digitalization and industrial collaboration in order to achieve sustainable development in the context of e-commerce.This research provides theoretical references for the strategic transformation of retail chain pharmacies and offers practical significance for the high-quality development of the pharmaceutical retail industry.
文摘Continuously broadening the channels for farmers’income growth and effectively narrowing the urban-rural income gap is the central task in the new development stage to comprehensively promote rural revitalization and achieve the common prosperity of farmers and rural areas.The promotion of rural e-commerce and the enhancement of farmers’digital skills provide potential for this endeavor.Taking Zhejiang province,a demonstration area for common prosperity,as the research object,this study collected 1,119 valid questionnaires through field surveys.Based on the reconstruction of a comprehensive evaluation index for farmers’digital skills using principal component analysis,this paper further investigates the relationship between the level of farmers’digital skills and their income by employing the CRITIC weighting method,mediating mechanism testing,and grouped regression analysis.The research finds that improving digital skills can significantly enhance farmers’income levels,with the income growth effect being more pronounced among older groups with lower educational levels and limited digital skills.Digital skills not only directly promote farmers’income growth but also indirectly further enhance their income level by increasing their use of rural e-commerce,and thus the use of rural e-commerce serves as a significant mediating variable in the relationship between digital skills and farmers’income growth.These conclusions remain valid after a series of robustness tests,including endogeneity tests,the replacement of weight designs for digital skills,and the exclusion of outlier samples.Finally,the paper proposes policy recommendations such as offering more digital skills and e-commerce training,encouraging the return of new rural elites to promote regional clusters of rural e-commerce,and providing targeted policy support for the development of rural e-commerce.
文摘This paper proposes the assumption of E-commerce platform of the agricultural products based on the F2C2B mode. The whole e-commerce model is guided by the idea of the supply chain management from the perspective of the modern system, and the e-commerce integration model from customer to supplier is implemented, and the whole is optimized. E-commerce to cloud computing as the basic environment, the construction of public cloud services and private cloud resources, based on public cloud to the SaaS way to provide services to customers, focus on business search and business collaboration, make full use of the lnternet, modern communications technology to provide the real- service. The development of agricultural economy, no longer depends only on the number of some traditional agricultural resources, but also depends on the modern technology, information access and use. Through the development of basic network technology, by virtue of some modern electronic information technology and some other means that can improve the intelligence of agricultural use of the information resources, the proposed model provides the new methodology of the solution.
