Research on the Modern Precision E-commerce Marketing Model under the Big Data and Pattern Recognition Background

In this paper, we conduct research on the modern precision e-commerce marketing model under the big data and pattern recognition background. Large amount of consumption data provides the electricity enterprises grasp the user consumption pattern and the basis of the electric business enterprise through the use of big data can be personalized, accurate and intelligent advertising push service, service mode for the creation of more interesting and effective. Under this basis, electricity companies can also pass the assurance of pair of big data, looking for better increase user stickiness, development of new products and services, the ways and methods to reduce operational costs and accordingly, we propose the novel perspectives on the corresponding issues for the systematic level enhancement that provides the novel methodology of precision e-commerce marketing.

Digital Marketing and B2B Cross-Border E-Commerce: A Case Study of Alibaba International Station in China

The rapid development of the“Internet+”has ushered in a new era of global digital technology innovation.Concurrent with the deepening trends of economic globalization and integration,international trade is progressively undergoing extensive digitization,with cross-border e-commerce emerging as a significant manifestation of this transformation.Within this landscape,the cross-border e-commerce B2B platform is anticipated to become a pivotal driver for China’s cross-border trade growth,representing a strategic opportunity for trade transformation.This paper provides a comprehensive examination of the concepts,characteristics,and development status of cross-border e-commerce and B2B platforms,considering both global and Chinese perspectives.Focusing on a prominent case study,Alibaba International Station,a B2B cross-border e-commerce platform,the paper delves into its business model and core competencies,offering a thorough analysis of its role in the intricacies of international e-commerce and its contribution to the field.Drawing on insights gained,the paper concludes by presenting targeted recommendations from both the platform and government perspectives.These suggestions are informed by a nuanced understanding of the development opportunities and challenges facing China’s cross-border e-commerce B2B platforms.

A Research on the E-commerce Applied to the Construction of Marketing Model

The function of E-commerce is becoming more and more widely applied to many fields,which bring about some new challenges and opportunities for the construction of marketing model.It is proved that the more E-com- merce applied to the construction of marketing,the more precision of forecast for the enterprises can acquire,which is very helpful for the production and marketing of enterprises.Therefore,the research on the E-commerce applied to the construction of marketing is popular today.This paper applie...

Research on the Selection of Supply Chain Marketing Models Based on E-commerce Service Levels

Based on the game theory,the service sensitivity coefficient is introduced to construct four marketing game models,which include a single flagship store,a single self-operated store,a direct sales-flagship store,and a direct sales-self-operated store,in combination with numerical analysis methods to analyze manufacturers and e-commerce platforms in different situations.The study found that the service levels affected the profit of each entity in the supply chain.The service levels of self-operated stores were higher than those of the flagship stores,and the opening of direct sales channels had a stimulating effect on the service levels of e-commerce platforms to a certain extent.In consideration of the service levels and the ability to build direct sales channels,the direct sales-flagship store marketing model is the best choice for manufacturers whereas e-commerce platforms are more inclined to open self-operated stores.However,the opening of manufacturers'direct sales channels is not necessarily beneficial to e-commerce platforms.

Impacts of agri-food e-commerce on traditional wholesale industry:Evidence from China

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.

How Does E-Commerce Policy Affect Consumption Disparities of Rural Households?-Evidence from China

In the context of China’s ongoing efforts to promote countryside revitalization and facilitate domestic economic circulation,it is of great significance to reduce the consumption disparity among rural households and unleash the consumption potential in the countryside.Based on data from China Family Panel Studies,this paper adopts a staggered difference-in-differences method to assess the impact of the e-commerce to enter rural areas on the consumption disparity among rural households.Findings:the comprehensive demonstration work of promoting e-commerce to enter rural areas has reduced the consumption disparity among rural households through the following mechanisms.Firstly,this policy initiative has mitigated the consumption-inhibiting effect on rural household consumption due to the local market size and external market accessibility by promoting the distribution of consumer goods to villages.Secondly,this policy initiative has also increased the agricultural income of rural households and reduced their consumption disparity by distributing farm produce to cities and enhancing the agricultural income of rural households.Moreover,the work is characterized by inclusive growth and is not susceptible to the“elite capture”phenomenon.

Research on the Dynamic Volatility Relationship between Chinese and U.S. Stock Markets Based on the DCC-GARCH Model under the Background of the COVID-19 Pandemic

This study utilizes the Dynamic Conditional Correlation-Generalized Autoregressive Conditional Heteroskedasticity (DCC-GARCH) model to investigate the dynamic relationship between Chinese and U.S. stock markets amid the COVID-19 pandemic. Initially, a univariate GARCH model is developed to derive residual sequences, which are then used to estimate the DCC model parameters. The research reveals a significant rise in the interconnection between the Chinese and U.S. stock markets during the pandemic. The S&P 500 index displayed higher sensitivity and greater volatility in response to the pandemic, whereas the CSI 300 index showed superior resilience and stability. Analysis and model estimation suggest that the market’s dependence on historical data has intensified and its sensitivity to recent shocks has heightened. Predictions from the model indicate increased market volatility during the pandemic. While the model is proficient in capturing market trends, there remains potential for enhancing the accuracy of specific volatility predictions. The study proposes recommendations for policymakers and investors, highlighting the importance of improved cooperation in international financial market regulation and investor education.

Application of Elzaki Transform Method to Market Volatility Using the Black-Scholes Model

Black-Scholes Model (B-SM) simulates the dynamics of financial market and contains instruments such as options and puts which are major indices requiring solution. B-SM is known to estimate the correct prices of European Stock options and establish the theoretical foundation for Option pricing. Therefore, this paper evaluates the Black-Schole model in simulating the European call in a cash flow in the dependent drift and focuses on obtaining analytic and then approximate solution for the model. The work also examines Fokker Planck Equation (FPE) and extracts the link between FPE and B-SM for non equilibrium systems. The B-SM is then solved via the Elzaki transform method (ETM). The computational procedures were obtained using MAPLE 18 with the solution provided in the form of convergent series.

Contribution of the MERISE-Type Conceptual Data Model to the Construction of Monitoring and Evaluation Indicators of the Effectiveness of Training in Relation to the Needs of the Labor Market in the Republic of Congo

This study proposes the use of the MERISE conceptual data model to create indicators for monitoring and evaluating the effectiveness of vocational training in the Republic of Congo. The importance of MERISE for structuring and analyzing data is underlined, as it enables the measurement of the adequacy between training and the needs of the labor market. The innovation of the study lies in the adaptation of the MERISE model to the local context, the development of innovative indicators, and the integration of a participatory approach including all relevant stakeholders. Contextual adaptation and local innovation: The study suggests adapting MERISE to the specific context of the Republic of Congo, considering the local particularities of the labor market. Development of innovative indicators and new measurement tools: It proposes creating indicators to assess skills matching and employer satisfaction, which are crucial for evaluating the effectiveness of vocational training. Participatory approach and inclusion of stakeholders: The study emphasizes actively involving training centers, employers, and recruitment agencies in the evaluation process. This participatory approach ensures that the perspectives of all stakeholders are considered, leading to more relevant and practical outcomes. Using the MERISE model allows for: • Rigorous data structuring, organization, and standardization: Clearly defining entities and relationships facilitates data organization and standardization, crucial for effective data analysis. • Facilitation of monitoring, analysis, and relevant indicators: Developing both quantitative and qualitative indicators helps measure the effectiveness of training in relation to the labor market, allowing for a comprehensive evaluation. • Improved communication and common language: By providing a common language for different stakeholders, MERISE enhances communication and collaboration, ensuring that all parties have a shared understanding. The study’s approach and contribution to existing research lie in: • Structured theoretical and practical framework and holistic approach: The study offers a structured framework for data collection and analysis, covering both quantitative and qualitative aspects, thus providing a comprehensive view of the training system. • Reproducible methodology and international comparison: The proposed methodology can be replicated in other contexts, facilitating international comparison and the adoption of best practices. • Extension of knowledge and new perspective: By integrating a participatory approach and developing indicators adapted to local needs, the study extends existing research and offers new perspectives on vocational training evaluation.

Analysis of Porter’s Five Forces Competitive Model in China’s Property Rights Trading Market

In recent years,China’s property rights trading market has been extremely competitive,but there are also new contradictions and challenges.This paper aims to analyze the external and internal competitive market of the property rights market through Porter’s five forces competition model,then find out the problems and defects in the development,thereby promoting the better development and progress of China’s property rights trading market.

Enhanced E-commerce Fraud Prediction Based on a Convolutional Neural Network Model

The rapidly escalating sophistication of e-commerce fraud in recent years has led to an increasing reliance on fraud detection methods based on machine learning.However,fraud detection methods based on conventional machine learning approaches suffer from several problems,including an excessively high number of network parameters,which decreases the efficiency and increases the difficulty of training the network,while simultaneously leading to network overfitting.In addition,the sparsity of positive fraud incidents relative to the overwhelming proportion of negative incidents leads to detection failures in trained networks.The present work addresses these issues by proposing a convolutional neural network(CNN)framework for detecting ecommerce fraud,where network training is conducted using historical market transaction data.The number of network parameters reduces via the local perception field and weight sharing inherent in the CNN framework.In addition,this deep learning framework enables the use of an algorithmiclevel approach to address dataset imbalance by focusing the CNN model on minority data classes.The proposed CNN model is trained and tested using a large public e-commerce service dataset from 2018,and the test results demonstrate that the model provides higher fraud prediction accuracy than existing state-of-the-art methods.

Marketing Model Analysis of Fashion Communication Based on the Visual Analysis of Neutrosophic Systems

In order to Improvement the Neutrosophic sets as effective tools to deal with uncertain and inconsistent information.The research takes method-ology of combined single-valued neutrosophic rough set and multi-scale deci-sion systems.This paper proposes the optimal scale selection and reduction algorithms based on multi-scale single-valued neutrosophic dominance rough set model.User requirements were analyzed using KJ method to construct a hierarchical model.According to the statistics of representative studies from China and the West,we found that,on the one hand,classical theory has been expanded and supplemented in fashion culture communication and market-ing.The topics are more micro-diverse,and the research methods are inspired by other disciplines;on the other hand,Chinese practice and Chinese cultural perspective need to fill the gap.The fashion content in the new fashion,however,needs to broaden its boundaries,and in addition to integrating with cultural theory and sociology,it needs to be integrated with fashion products,including product design,visual communication,image design and so on.Aesthetic communication needs to be taken into account as an important connotation,with visual communication and the communication of images as important research elements.On the whole,this research abroad inspires the development of domestic fashion culture communication and marketing research.

The Influence of E-Commerce on Marketing Practitioners and Consumers

The paper sets out to examine the influence of e-commerce on marketing practitioners and consumers. This researcher found out that e-commerce brings about a new experience for both consumers and marketing practitioners as both groups try to achieve their different goals that end in an online relationship between the duo. This posses a lot of challenges for marketers who have to adapt and modify their offline marketing strategies to suite and meet the demands of e-commerce bringing about the whole concept and execution of e-marketing. The issue of the benefits as well as trust for online transactions based on the fear of insecurity from the consumers＇ perspective was also discussed. In all, the authors concluded that it＇s important for organizations engaging in e-commerce to come up with proper strategies to address these issues and build consumer trust in e-commerce; aiding it to further adapt to the ever changing needs of the business world.

The Direction of Marketing in E-commerce

E-commerce is the execution of business transactio ns over the Internet. Companies conducting e-commerce can perform most of the tra nsactions which they are doing now. Most of the marketing method should coincide nt with the changes in e-commerce world. Brand ability will be depressed, but corporate identity and brand identity will be upgraded. So the enterprise should lower the cost of distribution, manufactur ing, and supplying. We can also upgrade the product value which consumer con ceded. Logistic will be core ability. The 3pl and 4pl will be used more and more often. The importance of transportation has grown with the increasing globalization as well as the growth in e-commerce. Firms should identify various transportation network design options and their relative strengths and weaknesses. They should also use methodologies for routing and scheduling deliveries in transportation network. The savings matrix and the generalized assignment methodology can be us ed to minimize the transportation cost while meeting delivery commitments to cus tomers. Information is essential to making good decisions. Information technology provid es the tools to gather information and analyze it in order to make the best deci sions. Information plays a key in every company. Information technology will be used broadly. It is a factual component on which decisions about each of the transportation, facilities, and inventory. In essence, information is the glue that holds the company to other firms, and allows it to function, making informa tion the most important firms drivers. Custom relation management, data based marketing, one to one marketing, electron ic odder system, electronic data exchange, will be used frequent. These new mark eting method is using information technology all. IT investment in program will greatly increase. The consumer can find and compare the price in every character easily on Interne t. Cost becomes the most important factor in product selecting. So the enterpris e has to lower cost in every part, especially using high-tech, new material, ad vantage management method. But the quality of production should be guarantee. In e-commerce world, people meet together less, and the news expressed quickly, every decision of enterprise should first consider it disadvantage on trans mit, then, try to control the transmit manner. The crisis management is importan t to public communication. Sales promotion method needs innovation. Broadcast, public communication, salesm anship, and physical evidence will be changed. More and more advertisers head fo r the Web to promote their wares. A supply chain consists of all stages involved, directly or indirectly, in fulfi lling a customer request. Through e-commerce, a supply chain can operate in low cost, immediate customer reaction, and benefit to all enterprise in the supply chain. The objective of supply chain is to maximize the overall value generated.

Factors of Marketing Toward Customer Decision-Making in Cross-Border E-Commerce:Case Study of QD Company

Taking small cross-border e-commerce enterprise QD company as an example,this study targets customers consuming on the platform of cross-border e-commerce enterprise QD company,and the purpose is to study the marketing factors affecting customer decision-making.By combining with relevant literature,this paper preliminarily confirmed that 7Ps,Technology Acceptance Model(TAM),and customer decision-making theory as the theoretical basis,and established the theoretical model.According to the mature scale of domestic and foreign scholars to measure the research variables,with 7Ps and TAM as the independent variable,TAM perceived usefulness and ease of use as the core of the independent variable,customer decision-making as the dependent variable,in the test before the project,forming a formal questionnaire,the main data are obtained through the design and distribution of the questionnaire.Based on a large number of relevant literature,this paper examines the marketing factors influencing customer decisions in cross-border e-commerce,then identifies goals,builds models,and proposes hypotheses.According to the technical acceptance model in consumer behavior theory,select the cross-border e-commerce enterprise quantum dot platform of consumers as the research object,finally through SPSS software on cross-border consumer feedback,including descriptive statistical analysis,factor analysis,correlation analysis,regression analysis test customer satisfaction,finally found a significant positive relationship between customer decision-making and marketing mix and TAM variables.

Research on the Marketing Mechanism of E-commerce Live Broadcast - Based on The Perspective of Brand Value Co-Creation

Today,the e-commerce live broadcast industry has formed a huge market,and it has become one of the important ways for most netizens to purchase goods.Live streaming has brought new opportunities for e-commerce and new growth for brand value.The interaction between brands and customers has gradually expanded,in this case,the importance of value co-creation has become more and more prominent.This article will take e-commerce live broadcast marketing as the research object,and the brand value co-creation as the research perspective,then provide a direction based on the value co-creation perspective for the healthy and long-term development of e-commerce live broadcast marketing by studying and analyzing the cases of brand value co-creation.

Research on Marketing Strategies of Pinduoduo Based on SWOT Analysis

The development of the Internet has led to a dramatic increase in online shopping users.E-commerce enterprises have been rising and becoming very successful in China in recent years.As an e-commerce platform established in 2015 and going public in 2018,Pinduoduo has become one of the three biggest e-commerce in China in a short period of time.This attract many people’s attention,which drives people to explore the reason behind it.SWOT analysis is a model that enables us to analyze the strengths,weaknesses,opportunities,and threats of an enterprise.In this study,we use SWOT analysis model to analyze the marketing strategy of Pinduoduo,summarize the current status of Pinduoduo,and give some suggestion for itself and the other e-commerce platforms.

Attractive Model and Marketing Implications of Theme Shopping Tourism Destination

This paper discusses the definition and connotation of Theme Shopping Tourism(TST) destination,and reveals the attractive distance of TST destination based on the utility function derived from the supposed demand function.An attractive model is deduced.According to this attractive model,it is can be known that the attractive distance is related to the price difference of the theme commodities between TST destination and tourist origin place,the average expenditure of transport,the demand elasticity of price,the actual price of sightseeing spot,the critical price that a tourist will afford,the number of nights that a tourist stays on the TST destination and the price level of accommodation in the TST destination.The change mechanism of attractive distance of TST destinations is revealed in this paper,and implications on TST marketing are put forward.First,theme commodities should be luxuries.Second,lower price is the primary pulling factor of theme shopping tourism.Third,the route combining with sightseeing spots is beneficial to shopping tourism.At last,TST development is one way of rejuvenating the falling destinations.

Willingness of Agricultural Workers to Conduct E-commerce of Agricultural Products Based on GEM Model

At present,the development of e-commerce is slow for agricultural products in China. Taking agricultural workers as the research object,this paper analyzed factors influencing the implementation of e-commerce of agricultural products. Besides,from the enterprise status,market conditions,and groundings,with the aid of the GEM( Groundings-Enterprises-Markets) model,it evaluated the factors influencing the development of e-commerce of agricultural products. Then,using SPSS software,it analyzed factors and came up with improvement recommendations. The results show that 59% of the respondents are willing to conduct e-commerce,and the status of the enterprises,market conditions and groundings are main factors influencing the implementation of e-commerce of agricultural products. Therefore,it is required to increase industrial concentration,promote cooperation between small and medium-sized enterprises( SMEs),and strengthen infrastructure construction,so as to promote the development of e-commerce of agricultural products.

Dynamic Pricing Model of E-Commerce Platforms Based on Deep Reinforcement Learning

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.