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
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
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
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
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
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
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
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
As China enters a new stage of agricultural modernization,understanding how rural e-commerce can address the multidimensional relative poverty of farmers is of significant research importance.This research utilized da...As China enters a new stage of agricultural modernization,understanding how rural e-commerce can address the multidimensional relative poverty of farmers is of significant research importance.This research utilized data from China Household Finance Survey(CHFS)and China Statistical Yearbook to construct a multi-dimensional relative poverty index system and an evaluation index system for rural e-commerce development.A fixed-effect model was employed to test the direct impact,and an intermediary-effect model was used to analyze the mechanism.The study found that rural e-commerce effectively alleviated multidimensional relative poverty among farmers,with varying effects across different dimensions.Notably,improving digital payment levels and non-agricultural employment were effective means by which rural e-commerce mitigated this poverty.However,the impact of rural e-commerce showed regional heterogeneity.Based on these findings,this research offered a series of countermeasures and suggestions.展开更多
Utilizing data from 5,481 village-level service stations(VS)in Baoding,China,this study empirically investigates the impact of digital inclusive finance(DIF)and VS infrastructure on rural e-commerce(RE)development.Res...Utilizing data from 5,481 village-level service stations(VS)in Baoding,China,this study empirically investigates the impact of digital inclusive finance(DIF)and VS infrastructure on rural e-commerce(RE)development.Results demonstrate that DIF significantly promotes RE by reducing transaction and financing costs(β=0.783,P<0.01).VS as physical infrastructure significantly drives RE growth(β=0.654,P<0.01).Crucially,DIF and VS exhibit synergistic effects(interactionβ=0.421,P<0.01),producing a“1+1>2”enhancement.Regional economic development,population density,and education levels positively influence RE.Current challenges include financial misallocation,infrastructure deficits,and skill gaps.We propose a“One Core,Three Wings”framework—Core:Develop tailored financial products for specialty industries(luggage,textiles,mushrooms);Wings:(1)Upgrade digital infrastructure,(2)Optimize policy synergy,(3)Enhance inclusive capacity through elderly-friendly technologies and training.Implementation strategies include establishing risk-sharing mechanisms,expanding VS functionality,and creating DIF-RE-VS alliances to foster sustainable rural revitalization.展开更多
With the acceleration of global economic integration and the rapid development of cross-border e-commerce,an increasing number of foreign trade enterprises are encountering new market opportunities and challenges.In r...With the acceleration of global economic integration and the rapid development of cross-border e-commerce,an increasing number of foreign trade enterprises are encountering new market opportunities and challenges.In recent years,the“full custody”model has gradually emerged,providing one-stop service support for cross-border e-commerce enterprises.While this model reduces operational difficulties,it also introduces new requirements for the business models of Chinese foreign trade enterprises.This paper examines how foreign trade enterprises can respond to the opportunities and challenges presented by the full custody model from five key perspectives:background analysis,business layout adjustments,marketing channel innovation,digital and intelligent empowerment,and flexible operational strategies.The findings aim to provide insights into the sustainable development of foreign trade enterprises within the cross-border e-commerce ecosystem.展开更多
This study examines the current state of merchants’participation in e-commerce marketing within the context of the digital economy,focusing on merchants in Lagos,Nigeria.It explores the impact of behavioral attitudes...This study examines the current state of merchants’participation in e-commerce marketing within the context of the digital economy,focusing on merchants in Lagos,Nigeria.It explores the impact of behavioral attitudes,subjective norms,perceived behavioral control,and traditional transaction costs on their willingness to engage in e-commerce marketing.Grounded in the Theory of Planned Behavior(TPB)and employing a questionnaire survey,the study utilizes SPSS 23.0 and AMOS 22.0 for data analysis.The findings confirm the significant positive effects of behavioral attitudes,subjective norms,and perceived behavioral control on merchants’willingness,as well as the significant negative effect of traditional transaction costs.The results indicate that the advancement of digital economy policies has lowered participation barriers for merchants,with factors such as behavioral attitudes,social support,and digital skills playing crucial roles in decision-making.This paper recommends enhancing the usability of e-commerce platforms,improving infrastructure,and optimizing policy support.These suggestions provide theoretical insights and practical guidance for promoting Nigeria’s digital economy and advancing research on merchants’e-commerce behavior.展开更多
This article takes the female community platform“Little Red Book”as an example to explore the optimization and innovation of mobile community e-commerce operation mode under Artificial Intelligence(AI)empowerment.Fi...This article takes the female community platform“Little Red Book”as an example to explore the optimization and innovation of mobile community e-commerce operation mode under Artificial Intelligence(AI)empowerment.Firstly,the relevant concepts were defined,and then the unique attributes of mobile community e-commerce were analyzed.As a typical representative of mobile community e-commerce,Little Red Book introduces the background and characteristics of its platform,analyzes its mobile community operation mode,and focuses on exploring how to establish a mobile community e-commerce platform and effective operation mode under the empowerment of AI technology,to provide some reference and inspiration for the development and operation of Little Red Book and other e-commerce platform enterprises.展开更多
Rapidly expanding studies investigate the effects of e-commerce on company operations in the retail market.However,the interaction between agri-food e-commerce(AEC)and the traditional agri-food wholesale industry(AWI)...Rapidly expanding studies investigate the effects of e-commerce on company operations in the retail market.However,the interaction between agri-food e-commerce(AEC)and the traditional agri-food wholesale industry(AWI)has not received enough attention in the existing literature.Based on the provincial panel data from 2013 to 2020 in China,this paper examines the effect of AEC on AWI,comprising three dimensions:digitalization(DIGITAL),agrifood e-commerce infrastructure and supporting services(AECI),and agri-food e-commerce economy(AECE).First,AWI and AEC are measured using an entropy-based combination of indicators.The results indicate that for China as a whole,AWI has remained practically unchanged,whereas AEC exhibits a significant rising trend.Second,the findings of the fixed-effect regression reveal that DIGITAL and AECE tend to raise AWI,whereas AECI negatively affects AWI.Third,threshold regression results indicate that AECI tends to diminish AWI with three-stage inhibitory intensity,which manifests as a first increase and then a drop in the inhibition degree.These results suggest that with the introduction of e-commerce for agricultural product circulation,digital development will have catfish effects that tend to stimulate the vitality of the conventional wholesale industry and promote technical progress.Furthermore,the traditional wholesale industry benefits financially from e-commerce even while it diverts part of the traditional wholesale circulation for agricultural products.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
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
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.
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.
基金Supported by General Project of the National Social Science Foundation(Topic 20BJY135)。
文摘As China enters a new stage of agricultural modernization,understanding how rural e-commerce can address the multidimensional relative poverty of farmers is of significant research importance.This research utilized data from China Household Finance Survey(CHFS)and China Statistical Yearbook to construct a multi-dimensional relative poverty index system and an evaluation index system for rural e-commerce development.A fixed-effect model was employed to test the direct impact,and an intermediary-effect model was used to analyze the mechanism.The study found that rural e-commerce effectively alleviated multidimensional relative poverty among farmers,with varying effects across different dimensions.Notably,improving digital payment levels and non-agricultural employment were effective means by which rural e-commerce mitigated this poverty.However,the impact of rural e-commerce showed regional heterogeneity.Based on these findings,this research offered a series of countermeasures and suggestions.
文摘Utilizing data from 5,481 village-level service stations(VS)in Baoding,China,this study empirically investigates the impact of digital inclusive finance(DIF)and VS infrastructure on rural e-commerce(RE)development.Results demonstrate that DIF significantly promotes RE by reducing transaction and financing costs(β=0.783,P<0.01).VS as physical infrastructure significantly drives RE growth(β=0.654,P<0.01).Crucially,DIF and VS exhibit synergistic effects(interactionβ=0.421,P<0.01),producing a“1+1>2”enhancement.Regional economic development,population density,and education levels positively influence RE.Current challenges include financial misallocation,infrastructure deficits,and skill gaps.We propose a“One Core,Three Wings”framework—Core:Develop tailored financial products for specialty industries(luggage,textiles,mushrooms);Wings:(1)Upgrade digital infrastructure,(2)Optimize policy synergy,(3)Enhance inclusive capacity through elderly-friendly technologies and training.Implementation strategies include establishing risk-sharing mechanisms,expanding VS functionality,and creating DIF-RE-VS alliances to foster sustainable rural revitalization.
文摘With the acceleration of global economic integration and the rapid development of cross-border e-commerce,an increasing number of foreign trade enterprises are encountering new market opportunities and challenges.In recent years,the“full custody”model has gradually emerged,providing one-stop service support for cross-border e-commerce enterprises.While this model reduces operational difficulties,it also introduces new requirements for the business models of Chinese foreign trade enterprises.This paper examines how foreign trade enterprises can respond to the opportunities and challenges presented by the full custody model from five key perspectives:background analysis,business layout adjustments,marketing channel innovation,digital and intelligent empowerment,and flexible operational strategies.The findings aim to provide insights into the sustainable development of foreign trade enterprises within the cross-border e-commerce ecosystem.
文摘This study examines the current state of merchants’participation in e-commerce marketing within the context of the digital economy,focusing on merchants in Lagos,Nigeria.It explores the impact of behavioral attitudes,subjective norms,perceived behavioral control,and traditional transaction costs on their willingness to engage in e-commerce marketing.Grounded in the Theory of Planned Behavior(TPB)and employing a questionnaire survey,the study utilizes SPSS 23.0 and AMOS 22.0 for data analysis.The findings confirm the significant positive effects of behavioral attitudes,subjective norms,and perceived behavioral control on merchants’willingness,as well as the significant negative effect of traditional transaction costs.The results indicate that the advancement of digital economy policies has lowered participation barriers for merchants,with factors such as behavioral attitudes,social support,and digital skills playing crucial roles in decision-making.This paper recommends enhancing the usability of e-commerce platforms,improving infrastructure,and optimizing policy support.These suggestions provide theoretical insights and practical guidance for promoting Nigeria’s digital economy and advancing research on merchants’e-commerce behavior.
基金Phased Research Key Project of Shanghai China Vocational Education Association“Research on Digital Transformation Path of Vocational Education Driven by AIGC from the Perspective of New Quality Productivity”,Phased Research Project of Shanghai Computer Industry Association“The Reform and Exploration of Cross-border E-commerce Talent Cultivation in Vocational Colleges from the Perspective of Industry Education Integration”(Project No.sctakt202404)。
文摘This article takes the female community platform“Little Red Book”as an example to explore the optimization and innovation of mobile community e-commerce operation mode under Artificial Intelligence(AI)empowerment.Firstly,the relevant concepts were defined,and then the unique attributes of mobile community e-commerce were analyzed.As a typical representative of mobile community e-commerce,Little Red Book introduces the background and characteristics of its platform,analyzes its mobile community operation mode,and focuses on exploring how to establish a mobile community e-commerce platform and effective operation mode under the empowerment of AI technology,to provide some reference and inspiration for the development and operation of Little Red Book and other e-commerce platform enterprises.
基金supported by the Leading Talent Support Program for Agricultural Talents of the Chinese Academy of Agricultural Sciences(TCS2022020)the General program of National Natural Science Foundation of China(1573263)。
文摘Rapidly expanding studies investigate the effects of e-commerce on company operations in the retail market.However,the interaction between agri-food e-commerce(AEC)and the traditional agri-food wholesale industry(AWI)has not received enough attention in the existing literature.Based on the provincial panel data from 2013 to 2020 in China,this paper examines the effect of AEC on AWI,comprising three dimensions:digitalization(DIGITAL),agrifood e-commerce infrastructure and supporting services(AECI),and agri-food e-commerce economy(AECE).First,AWI and AEC are measured using an entropy-based combination of indicators.The results indicate that for China as a whole,AWI has remained practically unchanged,whereas AEC exhibits a significant rising trend.Second,the findings of the fixed-effect regression reveal that DIGITAL and AECE tend to raise AWI,whereas AECI negatively affects AWI.Third,threshold regression results indicate that AECI tends to diminish AWI with three-stage inhibitory intensity,which manifests as a first increase and then a drop in the inhibition degree.These results suggest that with the introduction of e-commerce for agricultural product circulation,digital development will have catfish effects that tend to stimulate the vitality of the conventional wholesale industry and promote technical progress.Furthermore,the traditional wholesale industry benefits financially from e-commerce even while it diverts part of the traditional wholesale circulation for agricultural products.
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.
