StudyontheStrategiesoftheE-commerceImplementationin Binchuan Grape Industry of China——Based onSWOT Quantitative Analysis Method

This study takes Binchuan County grape industry as the research point,on the basis of SWOT analysis in e-commerce grape industry resources in Binchuan County,combined with AHP quantitative analysis method,used Delphi method gives the factors weights and scores from the experts.And used the fourdimensional strategic center coordinates location of gravity,determine the strategy orientation angle.Come to conclusion that the strategies of implementation e-commerce of grape industry in Binchuan County should be opportunity type,and then put forward strategic suggestions.

The Impact of E-commerce on the Development of Regional Economy and Its Analysis of Security Strategy

The rise of electronic commerce has broken the traditional trading mode, changed people＇ s production and life, has gradually become an important factor of regional economic development. The paper comprehensively discuss on present situation and characteristics of electronic commerce development in our country, on basis of it, the paper analyze electronic commerce major impact on regional economic development, and put forward to strengthen the development of e-commerce related strategies to promote regional economic development role.

Evaluation of E-commerce Poverty Alleviation Effect in the Context of Rural Revitalization Strategy

The industrial prosperity proposed in the overall requirement of rural revitalization strategy in the Report of the 19th National Congress is the cornerstone of rural development. E-commerce poverty alleviation is an effective way of poverty alleviation in recent years. This paper mainly explored the factors influencing the rural e-commerce poverty alleviation and the evaluation of poverty alleviation effects,in order to come up with countermeasures and recommendations to provide assistance and guidance for the use of e-commerce to achieve poverty alleviation and accordingly to revitalize the rural industry. Firstly,using the literature research method,it proposed four level Ⅰ indicators influencing the e-commerce poverty alleviation,and designed a detailed level Ⅱ indicator system under each dimension. Then,the questionnaire survey method was employed to collect data for SPSS analysis to verify whether the designed indicator system is correct. Finally,it analyzed the problem of the current stage of e-commerce poverty alleviation by means of the quadrifid graph,and came up with corresponding countermeasures on the basis of the four key levek I factors.

New E-Commerce Model Based on Multi-Agent Automated Negotiation

A new multi-agent automated negotiation model is developed and evaluated, in which two competitive agents, such as the buyer and seller, have firm deadlines and incomplete information about each other. The negotiation is multi-dimensional in different cases. The model is discussed in 6 kinds of cases with different price strategies, warrantee strategies and time strategies. The model improves the model of Wooldridge and that of Sycara to a certain extent. In all possible situations, the optimal negotiation strategy is analyzed and presented, and an e-commerce model based on multi-agent automated negotiation model is also illustrated for the e-commerce application in the future.

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.

The Study of SINA.com as E-commerce Model

E-commerce is playing an important role in our life. As E-commerce model, SINA is an online media company serv ing China and the global Chinese communities, which is worth studying. In the paper, the advantages of SINA.com will be intro duced. After that, you can know the competition and strategy of SINA.com. Its future development is discussed at the end.

Research on cultivating and constructing e-commerce industry cluster in Wuhan

Based on the analysis of the e-commerce industry cluster development in Wuhan, it analyzed opportunities, threats, strengths and weaknesses in its development by using the method of SWOT analysis and proposed. Wuhan should use SWO combination, make use of advantages, such as larger network operators group and better IT talent base, and renew orientation; avoid the threat of other leading cities, train multi-level e-commerce professionals, to make up for the lack of leading enterprises and the imperfect of e-commerce industry chain; establish e-commerce industrial parks by adding fiction in the entity; take advantage of the great opportunity that e-commerce is at the stage of rapid development and establish and strengthen e-commerce industry cluster in Wuhan.

E-commerce Supply Chain Management Research

This paper describes the characteristics of the supply chain e-commerce era, understands the concept,content and objectives of supply chain management,and raises supply chain management model,and also analyzes e-commerce supply chain architecture.On the existing architecture,elaborates the build about e-commerce supply chain management system, along with proposing strategic directions of e-commerce supply chain management,including JIT, quick response, efficient customer response, enterprise resource planning and electronic ordering system,and discusses in detail the effects of various policy for the entire e-commerce supply chain management.

The Revolution of Entrepreneurship Through E-Commerce Model:Questionnaire-based Research in China

E-commerce is evolving as an innovative tool in a wide range of areas,and has changed the face of entrepreneurship by making them more efficient and dynamic.In this paper,the author firstly reviewed the current development of e-commerce and entrepreneurship,as well as existing opportunities and challenges in this field.This paper also combines both qualitative method(literature review)and quantitative method(questionnaire-based research)to explore the impact of e-commerce on the landscape of entrepreneurship.The findings of this study suggest that the development of e-commerce has triggered fundamental changes in entrepreneurial activities.It significantly promotes the entry of new start-ups and facilitates the growth of their businesses.Meanwhile,small-and medium-sized firms also encounter greater challenges when they try to adopt and implement e-commerce.

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

Considering the large number of returns in online sales and the network externalities of e-platforms,we develop a decentralized model and a centralized model to explore the impacts of returns and network externalities on e-commerce supply chain(ECSC)decisions.We show that in the decentralized model,the service level,price,market demand,and ECSC members’profits increase with the network externality strength.However,the service level and price increase,while the market demand and ECSC members’profits decrease with the product return rate.The centralized model is the optimal operating mode when it is properly coordinated.We design the“commission and return cost-sharing”contract to optimize ECSC,in which the proportion of the e-platform’s sharing of the return handling cost is exactly equal to the proportion of the system profit after coordination.Based on the decentralized model,we develop two extended models in which we endogenize the impacts of the service level and return rate on the network externality strength.Through comparisons between the extended and decentralized models,we show that high-quality service can improve ECSC’s profitability,while a high return rate hurts its economic performance.

Predicting the daily return direction of the stock market using hybrid machine learning algorithms

Big data analytic techniques associated with machine learning algorithms are playing an increasingly important role in various application fields,including stock market investment.However,few studies have focused on forecasting daily stock market returns,especially when using powerful machine learning techniques,such as deep neural networks(DNNs),to perform the analyses.DNNs employ various deep learning algorithms based on the combination of network structure,activation function,and model parameters,with their performance depending on the format of the data representation.This paper presents a comprehensive big data analytics process to predict the daily return direction of the SPDR S&P 500 ETF(ticker symbol:SPY)based on 60 financial and economic features.DNNs and traditional artificial neural networks(ANNs)are then deployed over the entire preprocessed but untransformed dataset,along with two datasets transformed via principal component analysis(PCA),to predict the daily direction of future stock market index returns.While controlling for overfitting,a pattern for the classification accuracy of the DNNs is detected and demonstrated as the number of the hidden layers increases gradually from 12 to 1000.Moreover,a set of hypothesis testing procedures are implemented on the classification,and the simulation results show that the DNNs using two PCA-represented datasets give significantly higher classification accuracy than those using the entire untransformed dataset,as well as several other hybrid machine learning algorithms.In addition,the trading strategies guided by the DNN classification process based on PCA-represented data perform slightly better than the others tested,including in a comparison against two standard benchmarks.

Baidu index and predictability of Chinese stock returns

A number of studies have investigated the predictability of Chinese stock returns with economic variables.Given the newly emerged dataset from the Internet,this paper investigates whether the Baidu Index can be employed to predict Chinese stock returns.The empirical results show that 1)the Search Frequency of Baidu Index(SFBI)can predict next day’s price changes;2)the stock prices go up when individual investors pay less attention to the stocks and go down when individual investors pay more attention to the stocks;3)the trading strategy constructed by shorting on the most SFBI and longing on the least SFBI outperforms the corresponding market index returns without consideration of the transaction costs.These results complement the existing literature on the predictability of Chinese stock returns and have potential implications for asset pricing and risk management.

Research and Design of Coordinated Control Strategy for Smart Electromechanical Actuator System

In order to improve the frequency response and anti-interference characteristics of the smart electromechanical actuator(EMA)system,and aiming at the force fighting problem when multiple actuators work synchronously,a multi input multi output(MIMO)position difference cross coupling control coordinated strategy based on double‑closed-loop load feedforward control is proposed and designed.In this strategy,the singular value method of return difference matrix is used to design the parameter range that meets the requirements of system stability margin,and the sensitivity function and the H_(∞)norm theory are used to design and determine the optimal solution in the obtained parameter stability region,so that the multi actuator system has excellent synchronization,stability and anti-interference.At the same time,the mathematical model of the integrated smart EMA system is established.According to the requirements of point-to-point control,the controller of double-loop control and load feedforward compensation is determined and designed to improve the frequency response and anti-interference ability of single actuator.Finally,the 270 V high-voltage smart EMA system experimental platform is built,and the frequency response,load feedforward compensation and coordinated control experiments are carried out to verify the correctness of the position difference cross coupling control strategy and the rationality of the parameter design,so that the system can reach the servo control indexes of bandwidth 6 Hz,the maximum output force 20000 N and the synchronization error≤0.1 mm,which effectively solves the problem of force fighting.

Development of Agricultural Product Logistics in Tianjin in the Context of the Coordinated Development Strategy of Beijing-Tianjin-Hebei Region

Since February 26,2014,Chinese president Xi Jinping of the Central Committee of the Communist Party of China listened to the report on the coordinated development of Beijing-Tianjin-Hebei Region and delivered an important speech,and officially raised the coordinated development of Beijing-Tianjin-Hebei Region as a major national strategy,the integration of Beijing-Tianjin-Hebei Region has entered the"fast lane".Guided by accelerating the construction of agricultural product supply areas,agricultural high-tech industry demonstration areas,and agricultural product logistics center areas,Tianjin seizes the opportunity of coordinated development of Beijing-Tianjin-Hebei Region,brings into full play to the advantages of Tianjin s three-dimensional transportation network,perfect market system,high-quality port services,rapid growth of cold chain and e-commerce,to promote the faster and better development of Tianjin s agriculture.In addition,focusing on comprehensively improving Tianjin s regional agricultural product logistics service capabilities,Tianjin is establishing a distribution center for agricultural products,an e-commerce center,and a high-end agricultural product distribution center serving the Beijing-Tianjin-Hebei Region,to promote the construction of Tianjin agricultural product logistics center.

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.

Comparative Analysis of the Effects of False Low-Price Marketing Strategy on Multiple Platforms

In order to make full use of the characteristics of commodity prices,merchants on e-commerce platforms have adopted the low-price marketing strategy.Regular promotional discounts can bring new vitality to the commodity sales market,but extreme discount marketing methods would lead to serious impacts on the sales of competing products,thus affecting the stable development of the online shopping market.The sales data of four electrical products using the false low-price marketing strategy on three e-commerce platforms(Taobao,JD,and Amazon)were used in this study.The sales data from different e-commerce platforms and different time periods were analyzed,and one-way ANOVA was used on the factors affecting the effect of marketing strategy.The results showed that there is a significant difference between the direct marketing of high-priced products and low-priced products on Taobao;the difference between the marketing effects of high-priced products and mid-priced products on JD and Amazon is significant.This analysis would help businesses formulate reasonable marketing strategies and promote the stable development of the online shopping market.

乡村振兴背景下高职院校学生返乡创业现状及对策研究

2023年中央一号文件指出全面建设社会主义现代化国家,把解决“三农”问题作为全党工作的重心,努力推进乡村振兴以加快农村现代化建设,而乡村增速发展则需要加强乡村人才队伍建设。在此背景下,文章对高职院校学生返乡创业现状进行调研,分析影响高职院校学生返乡创业的因素,为高职院校学生返乡创业提出对策。

考虑退货的供应链订货策略偏好研究

为了研究允许顾客退货时,回购和补货两种订货策略下的供应链决策问题,构建由制造商、零售商和顾客组成的三级供应链;分析顾客退货行为增加库存风险的情况下,回购策略和补货策略对供应链各方利润的影响;以最大化自身利润为目标,研究供应链上下游成员在两种策略中的最佳选择,得出不同主体的订货策略偏好。通过数值算例验证理论推导的结果。研究表明,当退货率大于某个阈值时,供应链偏好补货策略,否则,偏好回购策略;给定退货率和回购价格,当收益共享系数超过某个阈值时,零售商偏好补货策略,否则,偏好回购策略;为使零售商和制造商偏好相同的订货策略,需要关注退货率并给出合适的收益共享系数。

智能仓货架返回位置分配动态优化策略研究

智能仓被广泛用于高频拣选场景,其效率受制于货架摆放位置。由于季节性需求变化、营销策略、促销活动等导致的订单波动,驱使货架摆放位置按需动态调整。本文利用智能仓特点,以移动机器人完成任务时间最短为目标,在任务周期中建立动态调度模型。构建由三种位置分配策略形成的策略空间,将货架热度、货架间关联度和货架现存位置综合形成状态值,设计加权双Q学习算法,得到适应订单状态波动的货架位置分配动态优化策略。仿真实验表明:与返回原位置相比,动态策略在大订单波动环境下的效率提升约31.36%,能够在感知订单波动后及时调整策略,提高智能仓拣选效率。

乡村振兴战略背景下大学生返乡创业现状与解决策略——以徐州市为例

该文以徐州市为例,探讨了乡村振兴战略下大学生返乡创业的现状和解决策略。通过问卷调查的形式对徐州市高校学生进行了调研,并分析他们的返乡创业意愿、家人态度、创业教育帮助及创业政策了解程度等情况。调查结果显示,大部分大学生存在返乡创业的意愿,但却面临诸多困难,如缺乏创业经验和资金、家庭不支持等。针对这些问题,该文提出相关对策建议,以促进大学生返乡创业,助力乡村振兴。