Predicting Purchasing Behavior on E-Commerce Platforms: A Regression Model Approach for Understanding User Features that Lead to Purchasing

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.

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.

A Novel Named Entity Recognition Scheme for Steel E-Commerce Platforms Using a Lite BERT

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.

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.

Experimental investigation and energy consumption analysis for subway side-platform in north cities

The automatic platform gates system (APG) and platform screen doors system (PSD) have been applied in the subways in some cities because of its security. As for the two methods,sometimes,it is difficult to decide which one is better for a certain project. The influence of the train-induced air on subway station and the comfort level of subway station in dynamic and transient conditions was analysized based on experimental data. The comfort level,content of inspiratory particles and noise level show that the environment of subway station with APG can satisfy the requirement of the standard. The air conditioning (A/C) cooling load and ventilation energy consumption of the two kinds of subway stations was predicted with the EnergyPlus program. Because electricity consumption by ventilation equipment increases notably when PSD is used,particularly the electricity consumption by the under platform exhaust (UPE) fan,and thus,ultimately,little difference exists in the overall energy consumption with and without PSD. The APG system is economical for the subway stations of the north cities. And it can satisfy the comfort of passengers for whistle stop. It can be concluded that in north cities APG system is better than PSD system.

Effects of E-Commerce Platforms on Firm Export——Evidence from China’s Industrial Enterprises

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.

Application of the E-commerce Platform in the International Trade

E-commerce is a new consumption mode, which develops rapidly and is welcomed by consumers. It also plays an important role in promoting the international trade. Through this analysis, we can understand that the influence of the e-commerce on the international market has both positive and negative aspects. We need to be aware of our shortcomings, understand the gap between them and the developed countries, and formulate the relevant policies. Let China's e-commerce continue to improve and innovate in the international trade, and find a suitable strategy for its own development. Relevant Chinese departments should actively and effectively participate in the construction of e-commerce. On the one hand, they can stabilize the status of e-commerce in the international trade, and on the other hand, they can expand the consumer groups and make the electronic goods better.

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.

Evolutionary game analysis of information service quality control of e-commerce platforms under information ecology

Due to the information asymmetry and imperfect supervision system,the problem of information service quality of e-commerce platforms is becoming increasingly prominent.Based on the perspective of information ecology,this paper constructs a three-party evolutionary game model including merchants,e-commerce platforms and governments,and analyzes the dynamic process of the threeparty game under bounded rationality,thereby characterizing the behavior and optimal strategies of information service quality control.We carry out numerical simulation using data of the Pinduoduo platform.The results show that the cost of each party,control strength of e-commerce platforms,proportion of margin deducted and other factors are important factors affecting the quality of information service;Only when the sum of the costs of passive management of e-commerce platforms,penalties for merchants,and the additional revenue generated from the active management exceeds the cost of the active management of the e-commerce platforms,it ensures effective control over the quality of information service in a stable market environment.Finally,some suggestions are put forward to optimize the e-commerce information service quality control.

Price Masking Strategy of Cross-Border E-Commerce Platform Financing

E-commerce platform financing is a new service pattern of supply chain finance.However,this pattern may bring some new issues when considering the problem of cash flow shortage and financing difficulties of small and medium-sized enterprises.When enterprises use this service,they worry about the leakage of preferential wholesale price when applying the full loan amount and providing the true transaction information.Based on the model consisting of a supplier,a retailer and a cross-border e-commerce platform,the authors design a price masking strategy to prevent the retailer’s preferential wholesale price information from leakage.The authors analyze the profit of the retailer and the platform before and after adopting the price masking strategy.The authors find that the price masking strategy always benefits the retailer.Besides,the optimal profit of the retailer and the platform are both affected by the loan interest rate.Moreover,there exists a range of loan interest rates that can benefit both the retailer and the platform if the price masking strategy is adopted.The research emphasizes that platform can expand the total business volume by allowing retailers to use price masking strategy.In other words,there will be more and more retailers attracted by the strategy,which benefits the long-term growth of cross-border e-commerce platform financing.

E-commerce and Consumption Inequality in China

Consumption inequality may impede economic development and hinder the achievement of common prosperity.Using three waves of the China Family Panel Studies from 2014 to 2018,this paper investigated the impact of e-commerce on consumption inequality,as measured by the Kakwani index.The results indicate that e-commerce can reduce household consumption inequality.A mechanism analysis shows that e-commerce can narrow household income inequality,increase the purchasing power of low-income households,and promote the consumption of households with limited access to ofline markets,thereby reducing the consumption gap.A heterogeneity analysis suggests that the positive role of e-commerce in reducing consumption inequality can be more significant among vulnerable households,such as households with elderly members and less-educated households.E-commerce can have varying impacts on consumption inequality across different subcategories of household expenditure,with the greatest impact seen in entertainment and education expenditure.These findings provide new evidence for the role of e-commerce in reducing consumption inequality in the digital economy,and the implications of this are discussed.

Leveling the Playing Field China’s first e-commerce law takes effect in an effort to regulate the industry

Gao Difan,27,was overjoyed with the Givenchy lipstick she bought herself as a Christmas gift via a daigou.on Taobao,one of the most famous e-commerce platforms in China.A daigou is the name given to an intermediary who travels or lives abroad and buys products on behalf of people in China.

预付式消费政府平台法律监管的治理路径

为应对预付式消费给传统监管体系提出的挑战,一些地方政府利用信息化、互联化的优势,探索建立统一的互联网监管平台。这些平台存在着备案参与度低、平台风险警示制度缺乏互联互通等困境,究其根源是由于政府管控型监管理念与风险预防逻辑不适应;监管权力配置模式过于僵化;制度规范滞后于监管需求;监管工具的创新性不足。为治理上述困境,亟需从政府管控监管理念转换为多元协同监管理念;构建“部门协同、社会共担”的监管权力配置格局;健全“风险预防、程序保障”为导向的监管规范体系;创新监管工具以提高风险预防的精准性等四个方面的改革路径,为治理政府主导型预付式消费互联网平台的监管困境提供思路。

数字文化新业态发展影响因素研究——基于DEMATEL-ISM-MICMAC展开的实证分析

文化与数字信息技术的相互融合孕育出了丰富多样的数字文化新业态,为我国文化产业发展注入了新的活力。发展数字文化新业态是文化产业升级的内在要求,客观科学地认识数字文化新业态发展的影响因素及其相互关系,有助于全方位解析数字文化新业态的发展机制和创新发展路径,以促进文化产业数字化战略的实施。通过识别15个数字文化新业态发展影响因素,运用DEMATEL法分析数字文化新业态发展各影响因素的重要程度,采用ISM-MICMAC法分析影响因素的层级关系与驱动-依赖关系,找出数字文化新业态发展的直接影响因素、间接影响因素和根本影响因素。研究表明:数字文化新业态发展以企业规模、服务创新、产品开发、人才培养、装备制造与模式创新为直接影响,以平台构建、数字化管理、资金支持与IP影响力为间接影响,以标准应用、资产禀赋、产学研协同、技术研发与政策支持为根本影响。

Optimization and Innovation of the Operation Model of Mobile Social E-commerce under AI Empowerment:Taking the Female Community Platform“Little Red Book”as an Example

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.

“抖音注我”开新局:平台技术环境下的非遗传播传承路径与政策创新

[目的/意义]目前,我国进入各级非遗代表性项目名录的非遗已达10万项,它们代表了中华民族最深刻的族群历史记忆。为应对社会大转型对非遗保护传承的全方位冲击,将抖音等平台技术纳入到政策范围,可以产生重大的政策效益与管理效益。[研究设计/方法]借助文献研究、政策文本分析、数据分析、案例研究等方法,深入探究当前非遗保护传承中的理论与实践困境,以及抖音对非遗传播传承产生的积极影响。[结论/发现]提出要超越非遗静态保护和文化生态区保护的范畴,将抖音等技术平台化非遗传播传承项目,纳入到政府向社会力量购买公共文化服务和国家艺术基金资助的政策范围,设计政府资助与市场商业模式双轨并进的政策路径,以形成政府原生态基因保护传承与市场化非遗形态传播传承两线并行的总体政策思路。同时,也要关注抖音等数字技术导致的非遗保护传承中的“市场失灵”问题,并实现政策的平衡。[创新/价值]为我国重构非遗的再生产方式、重塑非遗传播传承链条,突破非遗传承在社会日常生活中日益边缘化的困境,提供了有益参考。

互联网平台经济下的“炒物”及其治理初探

在互联网平台经济发展背景下,以球鞋为代表的特殊商品在使用性基础上衍生出符号性、贮藏性、圈层性以及投机性,研究此类商品在互联网平台下的炒作机制和治理途径,有助于引导互联网平台资本健康有序发展。平台经济相关业态和商业模式为“炒物”提供了技术手段并开拓了交易空间,消费需求膨胀和消费结构升级是“炒物”的潜在推力,产业转型则是“炒物”的现实条件,流通环节是“炒物”现象的主要场域,资本则是炒作机制形成中的主导力量和背后推手。在炒作过程中,球鞋供给端的品牌方、互联网平台、经销商和炒鞋客共同参与利润的分割,一方面从多维度促使商品转型升级,改善质量和效益,优化了消费体验,另一方面也暴露出一系列矛盾和问题。治理“炒物”现象需要政府和市场形成合力,引导相关产业和业态健康发展,打造合法合规的商业模式,并使消费者理性消费。

数字平台经济驱动消费潜力释放:表征、机理与进路--基于消费者视角的分析

数字时代的来临与平台经济的发展为我国居民消费潜力释放提供了新的引擎。数字平台经济驱动消费潜力释放具体表征为:消费群体的类别拓展与数量激增并进、消费内容的多元化与个性化并存以及消费方式的线上与线下融合并行。从消费者视角来看,正是由于场景创新刺激消费意愿、普惠金融便捷消费支付、产消直连降低消费成本和体验升级培植消费习惯,数字平台经济才能够发挥驱动消费潜力释放的作用。然而,数字平台经济驱动消费潜力充分释放仍面临数字鸿沟林立、数字金融风险、在线销售失范等现实问题。因此,应强化数字平台经济发展的政策效力,通过助力落后地区共同发展、防范化解数字安全风险、打造数字消费监管体系,实现消费规模扩大、消费环境优化和消费质量提升,使得居民更加能消费、敢消费和愿消费,进而牵引我国居民消费潜力不断释放。