User Purchase Intention Prediction Based on Improved Deep Forest

Widely used deep neural networks currently face limitations in achieving optimal performance for purchase intention prediction due to constraints on data volume and hyperparameter selection.To address this issue,based on the deep forest algorithm and further integrating evolutionary ensemble learning methods,this paper proposes a novel Deep Adaptive Evolutionary Ensemble(DAEE)model.This model introduces model diversity into the cascade layer,allowing it to adaptively adjust its structure to accommodate complex and evolving purchasing behavior patterns.Moreover,this paper optimizes the methods of obtaining feature vectors,enhancement vectors,and prediction results within the deep forest algorithm to enhance the model’s predictive accuracy.Results demonstrate that the improved deep forest model not only possesses higher robustness but also shows an increase of 5.02%in AUC value compared to the baseline model.Furthermore,its training runtime speed is 6 times faster than that of deep models,and compared to other improved models,its accuracy has been enhanced by 0.9%.

Promoting sustainable consumption and circular economy:the intention of Vietnamese youth consumers to purchase products made from recycled plastics

Recycling is viewed as a key component in a circular economy and serves as an ideal solution for promoting sustainability.During the global plastic crisis,plastic recycling practices have been adopted worldwide,leading to the production of various products made from recycled plastics(PRP).Nevertheless,a gap persists between consumption and demand for such products,which is primarily attributed to a lack of comprehension from the consumer perspective.Given the pivotal role consumers play in the adoption of these products,this study explores consumers’intentions to purchase PRP.This is particularly significant in Vietnam,which is an emerging economy aspiring to achieve the objectives of a circular economy and sustainable development.Utilizing an integrated cognitive-emotional framework comprising the Valence Theory and the Norm Activation Model,data from 564 Vietnamese students were gathered and analyzed using structural equation modeling.The results show that awareness of consequences is a major driver of consumer purchase intentions,followed by perceived ease of application and monetary incentives.The results also indicate that health concerns have the strongest effect on purchase intention and in the negative side,meaning that the health-related risk is the primary concern for consumers during the decision-making process.This research holds substantial value for academics and managers,as it aids in the theoretical exploration and the formulation of strategies to improve consumer acceptance of PRP.

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.

Theoretical Analysis of Consumers’Purchase Motivation in the Context of Environmental Protection

Through reviewing and summarizing the existing research on consumer motivation,and combining the characteristics of human behavior and the objective needs of environmental protection,this paper analyzes and defines consumers’purchase motivation.In the context of environmental protection,purchase motivation is divided into demand motivation,value recognition motivation,recognition motivation,and interest motivation.Their definitions are given in this paper,which provides a conceptual basis for further research on the influence of purchase motivation on consumer behavior in the context of environmental protection.

The Impact of E-Commerce Live Broadcasts on Consumers’Purchase Intention

E-commerce live broadcast has an important influence on consumers’purchase intention.The three dimensions of live broadcast content in the broadcast room are the number of comments,product quality,and live content as independent variables.A theoretical model is constructed with perceived value and risk as intermediaries and the consumers’purchase intention as the dependent variable,and corresponding hypotheses are put forward.We designed the scale,collected relevant data,and tested the model hypothesis using Statistical Package for Social Sciences(SPSS)and Analysis of Moment Structure(AMOS)software.The study found that the number of comments and product quality had a significant impact on perceived value,perceived risk,and consumers’purchase intention.From this conclusion,it is suggested that businesses should control the number of comments,strengthen the product quality of comments,and distinguish the repetition degree of the content of live broadcasts.

Consumer Psychology in the Digital Age:How Online Environments Shape Purchasing Habits

The advent of the digital age has profoundly changed consumers’mindsets and habits.The rapid development of e-commerce and the widespread use of mobile applications have created enormous demand for individual recommendation systems based on mass data.This system not only increases the convenience of purchases and conversions but also alters the purchasing behavior of consumers,leading them to make choices subconsciously.Potential risks associated with large-scale data sharing and usage have heightened consumer concerns regarding privacy,thereby weakening the foundational trust in platforms and deterring them from shopping.Additionally,the rapid growth of e-commerce in the digital age,coupled with changing market circumstances,has intensified psychological pressure on consumers,making their decision-making processes more complex and difficult.Furthermore,the program will explore issues related to improving customer experience,developing individual marketing strategies,and designing customer loyalty plans.It will also address questions of privacy in a digital environment,the dilemmas of excessive or disruptive consumption behavior,and the complexity and diversity of consumer behavior in the face of digital change.The objective of this study is to develop a fear study that will enable a better understanding of the impact of online shopping on consumer behavior and provide a strategic guide for retailers to meet the challenges and opportunities presented by the digital age.

Research on the Relationship Between Average Cigarette Price per Box and Government Procurement in City A Based on a Regression Model

This study aims to analyze and predict the relationship between the average price per box in the cigarette market of City A and government procurement,providing a scientific basis and support for decision-making.By reviewing relevant theories and literature,qualitative prediction methods,regression prediction models,and other related theories were explored.Through the analysis of annual cigarette sales data and government procurement data in City A,a comprehensive understanding of the development of the tobacco industry and the economic trends of tobacco companies in the county was obtained.By predicting and analyzing the average price per box of cigarette sales across different years,corresponding prediction results were derived and compared with actual sales data.The prediction results indicate that the correlation coefficient between the average price per box of cigarette sales and government procurement is 0.982,implying that government procurement accounts for 96.4%of the changes in the average price per box of cigarettes.These findings offer an in-depth exploration of the relationship between the average price per box of cigarettes in City A and government procurement,providing a scientific foundation for corporate decision-making and market operations.

A Study on the Factors Influencing Consumer Purchase Decision Under the Live-Streaming Sales Model

In recent years,with the rapid development and popularization of Internet information technology,many new media platforms have risen rapidly,and major e-commerce companies have begun to explore the mode of livestreaming.Especially during the COVID-19 pandemic,due to the lockdown,live-streaming has become an important means of economic development in many places.Owing to its remarkable characteristics of timeliness,entertainment,and interactivity,it has become the latest and trendiest sales mode of e-commerce channels,reflecting huge economic potential and commercial value.This article analyzes two models and their characteristics of live-streaming sales from a practical perspective.Based on this,it outlines consumer purchasing decisions and the factors that affect consumer purchasing decisions under the live-streaming sales model.Finally,it discusses targeted suggestions for using the live-streaming sales model to expand the consumer market,hoping to promote the healthy and steady development of the live-streaming sales industry.

Enhancing Enterprise Efficiency through Cross-Domain Supply Chain Linkage Management

In recent years,with the complexity and variability of international finance,debt,and geopolitical risks,the growth rate of domestic economic operations has slowed down.More enterprise groups are facing the transformation and upgrading from domestic leadership to internationalization,achieving revenue growth of nearly 10 billion yuan per year against the trend.The severe and complex internal and external environment has brought many challenges to the supply chain for enterprises.This article focuses on the goal of an“enterprise supply chain system focusing on value creation,strengthening system linkage,and improving overall chain efficiency,”aiming to find solutions to problems such as strong demand variability,frequent emergency needs,coexistence of project shortages and inventory surplus,long material turnover cycles,and high organizational complexity.By searching for key activities in the entire business chain of demand,design,production,service,and finance,implementing source planning,process control,system linkage,analysis and summary,and team collaboration,we have achieved more scientific demand forecasting,more accurate planning,more effective procurement cost reduction,more stable production performance supply,more convenient inventory sharing services,and more efficient integration of business and financial policies.

Research on the Impact of the Centralized Drug Procurement Policy on China’s Pharmaceutical Enterprises

Objective To analyze the impact of the centralized drug procurement policy on pharmaceutical enterprises,and put forward some suggestions for improving China’s centralized drug procurement policy.Methods Through literature analysis and comparative research,the relevant policies and implementation effects from the“4+7”drug procurement pilot to the seventh batch of volume procurement were sorted out,and the impact of the procurement policy on pharmaceutical enterprises was analyzed.Results and Conclusion The centralized drug procurement policy has continuously improved the enthusiasm of enterprises to participate in bidding,and the consistency evaluation work has been carried out well.However,there are also some problems,such as the reduction of enterprise profits,the difficulty of enterprise operation,the decline in the quality of winning drugs,and the insufficient innovation ability and the supply capacity of enterprises.In this regard,enterprises should reasonably control the cost of drugs to ensure the stable supply of winning drugs.Besides,enterprises should create brand effect for their timely transformation and development.While strengthening pharmaceutical innovation,they can change from low-level generic drug production to R&D innovation.The government should pay close attention to the impact of centralized procurement on the quality and efficiency of enterprise drugs.For instance,the government should improve the pricing rules for drug procurement and increase supervision of drug quality and supply.At the same time,it should give certain policy and financial support to enterprises’technological innovation and talent introduction.

A model of targeted advertising with customer recognition

A two-period duopoly model is developed to examine the competitive effects of targeted advertising with customer recognition （TACR）. In the model, two competing firms sell goods to end consumers in the first period, during which customer recognition is obtained. In the second period, advertising can be targeted toward different consumer types. Advertising is assumed to be persuasive in the way that consumer valuation is increased. Equilibrium decisions and profits in each period are derived, showing that the firm who loses the current competition will win in the future. As a result, forward-looking firms price less aggressively so that their long-term profits can be enhanced with the help of TACR. Particularly, TACR improves profits through three important effects： valuation increasing, customer poaching, and anti-competition. Finally, this paper investigates the welfare issues, showing that firms enhance profits at the expense of consumer surplus. It is, therefore, suggested that public sectors take a step to protect consumers with the rapid development of targeting technology.

药品带量采购的核心要素分析

明确药品带量采购的核心要素及相关理论,深入分析和比较我国实施的3批药品集中采购的相关政策,厘清我国药品带量采购模式的演进历程和发展趋势,以期为优化我国医药采购制度、增进人民群众健康福祉提供参考。

Purchasing policy model based on components/parts unification

This paper presents a mathematical model for components/parts unification (CPU) policy. This model considers two components/parts that are functionally interchangeable but purchased from suppliers with different prices and quality characteristics. Because of the buyer's quality preference and suppliers' discount rates for bulky purchases, the model assists the procurement manager to determine how best to purchase the components/parts to meet its demand while minimizing the total acquisition costs.

Research on Optimization of Component Stock

A set of model is established to optimize BSW Company’s component stock. By analyzing the company’s current part stock condition in terms of the occupation of capitals in the precondition of continuous production, it describes how to control the purchase parameters of import parts. The model describes how to adjust slightly product output sequence and how to control the components’ purchase parameters: purchasing risk time and purchase order quantity. Then simulation is developed to illustrate the model.

Quality Management Research on the Purchasing of Food Processing Enterprises

In order to improve the purchased goods quality management level of food processing enterprises, the causes of quality management problems were ana- lyzed, which were classified into four categories, namely, natural toxins in raw ma- terials, quality problems in planting and breeding, quality problems in transportation, quality problems in delivery acceptance. Then, based on the causes, eight measures to improve goods purchasing management were put forward, and graphs were used to illustrate the corresponding countermeasure to each cause. This study is of theo- retical significance for the food processing enterprises to improve the quality man- agement of purchased goods through formulating improvement measures based on their operating states.

The Opening of the First China International Import Expo

The opening ceremony of the first China International Import Expo(CIIE),also the world’s first expo held at the national level with import as its theme,was successfully held in 5 November,2018.The 300,000 square-meter exhibition area gathered more than 3,600 businesses and international organizations from 172 countries and regions,and over 400,000 purchasers home and abroad.

Key Account： The Negotiating Process

This research plans to evaluate the changes and evolutions from the real world of key account management compared to literature review： How decisions are taken, what processes help to be successful on tenders, how to cooperate on a world basis, what methods facilitate conclusions. This work looks for a measure of evolution and changes during a negotiation process by KAM compared to existing literature research. Key account negotiators take strategic dimensions into account when starting a negotiation process. They measure the cost of negotiations, help their clients to position themselves properly, and develop partnerships. In general, researchers are more interested in organization and clients than in integrated processes. The process analysis is built on an in-depth analysis of Key Account Management （KAM） on three matters： an in-depth interview of 20 Key Account Managers from such companies as Air Liquide, Matra, Alcatel, GEC Alstom, Bull, EADS, PPG, an advertising agency and Omnicom on prospecting, partnerships, client’s effectiveness optimization, client’s qualification, lobbies, networks, international accounts. This research shows how KAM faces complex situations, how training and monitoring bring solutions to difficult situations, how information is managed through transparency relationships, TV shows, press media, information from shows and fairs, competitors evaluation. This work conceptualizes the KAM negotiation process and permits to managers to identify the different negotiation steps from their numerous mutual professional witnesses. The number of companies could have been larger, but we interviewed each salesperson in depth. Future work on key account salespeople should consider the following subjects： influence of KAM on tenders. Which ethical steps KAM can take with client companies to improve results. Innovation perception by clients is as a tool for success.

中国财富的性别差距

有报道称,中国财富性别差距日益扩大,女性不仅被＂剩下＂,而且被＂无视＂。 Shang Wen,a single 32-year-old,a three-year-old’s mother,is a rarity1in China,mainly because her parents helped her purchase her own house in 2004.＂Property was not too expensive then,and my parents had no idea that the market would take off2,＂says Shang.Little did she know that this investment could end up paying off years later,

欧版QE对中国影响几何?

1月22日,欧洲央行行长德拉吉宣布推出扩大版的资产购买计划(an expanded asset purchase programme)。该计划将从2015年3月开始实施,每月购买600亿欧元的成员国债券或机构债券,期限暂定至2016年9月,总规模达到1.14万亿欧元;购债计划将基于各国在欧央行出资比例分配。

“按价值付费”长驱深入

出于对可能医疗诉讼的担心,美国医生有时难免为患者开具不必要的检查和诊疗,导致医疗高额低效,医疗费用呈螺旋式上升。＂按价值付费＂（value-based purchasing）在奥巴马医改中被适时提出。医疗保险支付方式转型在奥巴马医改未正式通过国会表决成为法案前,支付方式改革已经成为奥巴马政府一揽子医改方案的重点。