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.

Observation on the Effect of Parental Participation in Nursing Under the IMCHB Model in Neonatal Hypoxic-Ischemic Encephalopathy

Objective:To investigate the clinical effects of parental participation in nursing under the Interaction Model of Client Health Behavior(IMCHB)model in neonatal hypoxic-ischemic encephalopathy(HIE).Methods:The First Affiliated Hospital of Gannan Medical University included 46 newborns with HIE admitted from October 2021 to October 2023 into the study population.They were divided into a control group and an observation group according to the random number table method,with the control group adopting routine nursing,and the observation group implementing parental participation in nursing under the IMCHB model.The indicators of physical,intellectual,and psychomotor development of the two groups were compared before and after nursing.Results:The physical,intellectual,and psychomotor development of the observation group was higher than that of the control group after 3 months of nursing,and the difference was statistically significant(P<0.05).Conclusion:The implementation of the IMCHB model of parental participation in the clinical care of HIE neonates can further promote their physical,intellectual,and psychomotor development.

Sense of Economic Gain from E-Commerce:Different Effects on Poor and Non-Poor Rural households

Sense of economic gain of e-commerce participation is an important aspect for evaluating the inclusiveness of e-commerce development.Based on the data of 6,242 rural households collected from the 2017 summer surveys conducted by the China Institute for Rural Studies(CIRS),Tsinghua University,this paper evaluates the effects of e-commerce participation on rural households’sense of economic gain with the propensity score matching(PSM)method,and carries out grouped comparisons between poor and non-poor households.Speci fically,the“Self-evaluated income level relative to fellow villagers”measures respondents’sense of economic gain in the relative sense,and“Percentage of expected household income growth(reduction)in 2018 over 2017”measures future income growth expectation.Findings suggest that e-commerce participation signi ficantly increased sample households’sense of economic gain relative to their fellow villagers and their future income growth expectation.Yet grouped comparisons offer different conclusions:E-commerce participation increased poor households’sense of economic gain compared with fellow villagers more than it did for non-poor households.E-commerce participation did little to increase poor households’future income growth expectation.Like many other poverty reduction programs,pro-poor e-commerce helps poor households with policy preferences but have yet to help them foster skills to prosper in the long run.The sustainability and quality of perceived relative economic gain for poor households are yet to be further observed and examined.All poverty reduction initiatives including pro-poor e-commerce must help poor households develop endogenous growth momentum to prosper beyond the effects of short-term pro-poor policies.

Factors that Affect Farmers' Behaviors on Participating in Policy-Oriented Agricultural Insurance in the Pilot Area——A Case of Insurance on Apple in Luochuan County,Shaanxi Province

Taking Luochuan County of Shaanxi Province as an example,the factors that affect farmers' behaviors on participating in insurance is analyzed and evaluated according to the questionnaires and by selecting the indexes covering household features,agricultural production risks,the attitudes of rural households towards risks and the transaction cost of participating insurance and by using Logistic regression model.The results show that comparing with insurance company,the government has larger influence on farmers' behaviors on participating insurance;the premium of agricultural insurance does not obstruct farmers' participation in insurance;the bad-handled relations between the government and insurance company have bad effects on the development of local agricultural insurance.In order to promote farmers to participate in agricultural insurance,the relevant countermeasures are put forward:firstly,increasing the investment on rural education and improving cultural level of farmers;secondly,intensifying the promotion on agricultural insurance;thirdly,reasonably planning the duties and rights of the government and the insurance company;fourthly,vigorously encouraging the farmers to conduct scale production of apple and form the scale economy.

Analysis of Factors Influencing Farmers' Participation in Forest Farmers Cooperatives Based on Empirical Research of Zhejiang Province

Based on field research data of farmers in Zhejiang Province, the authors analyzed factors influencing farmers' participation in forest farmers cooperatives (hereafter referred to as FFCs) by the binary logistic regression model. Results show that understanding of farmers about cooperatives has a great influence on their behavior of participation in FFCs. Besides, educational level of householders and existing member scale of cooperatives also have significant influence on farmers' behavior of participation in cooperatives. Therefore, it is required to strengthen propaganda of cooperatives, deepen their understanding of cooperatives; cultivate new high quality farmers to provide talents for development of cooperatives; establish incentive mechanism to encourage farmers to participate in cooperatives.

The Impact of Digital Payment on Consumer Behavior in China

To continue China’s economic growth,plenty of research has been conducted to find the relationship between advancing payment methods and thriving consumption.Currently,digital payment is the latest and most mature way in China.Instead of being a single application for online transactions,digital payment represents a complete online shopping environment.To generally review the impact of digital payment on consumer behavior in China,literature containing research on consumers from different age groups and gender will be collected and concluded.This research takes women and undergraduate students as the critical research object because people ubiquitously consider these two groups of people as the primary consumers in the e-commerce market.After arranging information from the research about three stages that cover the shopping intention by digital payment,consumer psychology,and consumer behavior,this review concludes that economic growth is potentially attained by digital payment in a secure online environment,with the business target at profit maximization at the same time keeping consumers rationale in a normal range,especially for woman and undergraduate students.

现代学徒制视域下企业参与动机、行为及收益的影响机制及效应研究

深入探讨企业参与现代学徒制动机、行为及收益之间的作用机制,对更好地开展具有中国特色现代学徒制意义重大。基于对浙江省97家参与学徒制合作企业开展的结构性访谈和问卷调查,在明确企业参与现代学徒制动机、行为及收益观测指标的基础上构建了相应的假设关系模型,并采用AMOS软件对三者的关系进行模型拟合。研究结果显示:企业参与现代学徒制动机对采取的行为及收益均有着显著的正向影响;企业行为对收益以及在“动机—收益”间的中介效应不够显著;“动机—行为—收益”间的作用关系在企业规模、所有权性质、所属行业以及科研&技术人员占比等方面表现出异质性。对此建议,进一步提升企业参与现代学徒制的积极性,一要强化制度保障,增加企业的参与收益;二要增强校企交流,提高校企合作匹配度;三要完善合作机制,提升学徒培养质量。

金融知识、风险态度与个人养老金参与行为

在我国全面推行个人养老金制度的背景下,居民对个人养老金的有限参保抑制了制度的实施效果。运用2023年对西安市居民的网络问卷调查数据,本文实证研究了金融知识、风险态度对居民参与个人养老金的影响。研究结果表明:金融知识能够增加居民对个人养老金制度的了解,增进对制度的信任,提升投资能力,推进居民对个人养老金的参与行为;风险态度是居民参与个人养老金的重要因素,风险偏好的居民对不确定性有更强的承受能力,对投资损失有更高的乐观程度,更积极参与个人养老金。风险态度部分传递了金融知识对个人养老金参与行为的影响,金融知识可以使居民对风险做出正确预判,减少对风险的排斥,提高风险偏好程度,从而激励居民参与个人养老金。此外,金融知识、风险态度对居民参与个人养老金的影响在学历和收入方面存在异质性。提供通俗易懂的养老金融知识和个性化的风险投资服务,推动“个人养老金进万家”活动,打造定制化的风险投资指导方案是激励居民参与个人养老金的重要举措。

中国公众助贫行为的基本模式、影响因素及参与效应

当代中国贫困治理的成功不仅源自强大的国家治理能力和国家行动,也离不开社会公众的广泛参与,而形式多样的助贫行为正是普通公众参与贫困治理的主要方式。基于2132份问卷调查数据,本文以实证方式对中国公众参与助贫行为的基本模式、影响因素和参与效应进行了系统分析。在基本模式方面,公众主要有购物消费、金融借贷、科教文体、捐赠救助、组织化行为等助贫行为模式,且有较高的参与水平,体现了政府、市场和社会三种扶贫机制的作用。在影响因素方面,融合了资源、动员和内在激励的公民志愿模型有较强的解释力,尤其是作为内在激励的重视公共利益和公共参与意识对助贫行为的正向预测作用更强。在参与效应方面,公众助贫行为对治贫绩效评价和制度认同具有正向预测作用;同时,腐败历闻对两者具有负向预测作用。培育积极公民,开放公众参与,同时严厉打击腐败,这不仅是中国贫困治理过往成功经验的总结与验证,更可供中国式现代化新征程中顺利推进国家治理各项事业借鉴与参考。

后冬奥时代大学生冰雪运动持续参与行为的促进模型研究

北京冬奥会为我国冰雪运动的开展奠定了良好的社会基础,深入探索冰雪运动持续参与行为的促进机制有助于推动冰雪运动长期发展。以社会生态理论模型为框架,以大学生对持续参与冰雪运动的态度评价为研究对象,运用建模法、问卷调查法和数理统计法,构建大学生冰雪运动持续参与行为促进机制的AMOS结构方程模型,探讨自我效能对于大学生冰雪运动持续参与行为的中介效应。得出结论:行为动机对大学生冰雪运动持续参与行为影响不显著,且自我效能在其路径中中介效应不显著;知识技能、社会环境对大学生冰雪运动持续参与行为具有显著影响,且自我效能在其路径中存在显著中介效应,效应值分别为0.151及0.258。建议在后冬奥时代持续强化政策引领,营造良好社会氛围,开展冰雪运动科普宣传以及公益指导,以期完善冰雪运动参与生态。

社区治理方式对居民垃圾分类行为的影响机制及分异效应

居民生活垃圾分类是生态文明建设的重要方式,也是实现碳达峰碳中和的重要途径之一。社区是推动居民垃圾分类和生活方式绿色转型的关键场域。基于“2019年上海居民垃圾分类行为”调查数据,运用结构方程模型,探究不同社区治理方式对居民垃圾分类行为的影响路径。研究发现:社会性治理方式对垃圾分类行为产生直接效应,并通过社区参与意愿、网络参与意愿对垃圾分类行为产生间接效应。房价和房龄调节了社会性治理方式对居民垃圾分类行为的影响效应,呈现了“熟人社区”“陌生人社区”和“半熟人社区”社区分异效应,形塑了“弱动员、强参与”“强动员、强参与”“强动员、弱参与”的多元主体行动逻辑。该研究能够为构建因地制宜、社区多元共建、共治、共享的垃圾分类实施政策,有效引导社区居民绿色低碳行为,促进社区生活垃圾减量化、资源化提供借鉴和政策参考。

基于推拉理论的数字健康平台用户持续参与行为的组态效应

针对数字健康平台用户持续参与行为的组态效应问题,基于推拉理论,以26个典型数字健康平台为研究对象,采用问卷调查法、模糊集定性比较分析法等,对问诊价值、感知价值、社会网络价值、功能服务质量、系统质量和信息质量,以及信息安全认知价值对用户持续参与行为的组态效应进行分析。研究表明:推力因素和拉力因素的单项前因条件均不是结果变量的必要条件;用户持续参与行为的前因具有复杂性,需要推力因素与拉力因素共同作用。提出效益主导型、专项问诊型、内在关注型3种构型模式下的5条驱动路径。研究结论为优化数字健康平台,提升用户存留率提供参考。

参与合作社能提升农户绿色生产行为吗?——基于技术服务的中介与社会规范的调节效应分析

基于2021年江西省“百村千户”调查数据,运用OLS回归和倾向得分匹配(PSM)法,结合中介与调节效应模型,实证分析参与合作社对农户绿色生产行为的影响机理,并使用工具变量法验证模型的稳健性。结果表明:参与合作社能显著提升农户绿色生产行为;技术服务在参与合作社影响农户绿色生产行为采纳的过程中发挥部分中介作用,中介效应占比为10.43%;社会规范在参与合作社经由增加农户获得的绿色生产技术或服务来促进其采纳绿色生产行为过程的前半路径中发挥负向调节作用,即社会规范水平越高,技术服务的中介效应越弱。基于此,在大力支持并规范合作社发展,敦促合作社提供优质技术服务以满足个体农户绿色生产需求的同时,应注重全方位激活农村社会规范水平,运用社会规范手段优化农户绿色生产行为,实现农业可持续发展。

嵌入性视角下医学专家参与突发公共卫生事件治理的竞技行为研究

突发公共卫生事件对人类健康、经济发展与社会秩序带来严重危害,医学专家参与是政府治理突发公共卫生事件的重要科学保障,但目前相关文献缺乏对在突发公共卫生事件背景下医学专家参与行为特点方面的研究。以突发公共卫生事件治理为背景,选取2003年非典疫情及2020年新冠疫情防控中的医学专家参与案例,从嵌入性理论视角出发,通过双案例比较研究发现:医学专家为扩大自身的学术观点与影响力,其参与行为呈现出与在其他事件参与行为中不同的行为特征,呈现出趋同化参与和多样化竞技的特征,该特征的变化趋势与形成逻辑受到微观层面行为驱动力、中观层面关系嵌入性及宏观层面结构嵌入性等相关因素的影响;减少上述因素的拮抗效应、增加因素之间的协同效应可以减少医学专家之间的内耗,提高专家治理效能,进而提升政府治理突发公共卫生事件的效能。因此,建议科技专家咨询机构要建立常态化咨询制度,同时建立优化专家参与的制度体系,让科技专家回归独立性、科学性与中立性。

互动仪式链视角下的电商直播用户参与行为影响因素研究

[目的/意义]实时互动是电商直播超越传统电子商务的重要优势,从互动仪式链的视角验证用户参与行为的影响因素,对直播平台、主播的进一步发展有重要参考作用。[方法/过程]本文在微观情境下以互动仪式链为基础,构建电商直播情境下的互动仪式链,探讨互动仪式链效果对用户参与行为的影响,并将主播、平台、用户纳入模型,完善互动仪式影响机制。[结果/结论]通过实证发现,主播的吸引力正向影响群体团结,粉丝数负向影响群体团结和群体符号;平台的互动环境显著影响群体符号和情感能量,便利性显著影响互动仪式链效果;用户的兴趣度显著影响群体符号和情感能量,用户的获得感显著影响情感能量;互动仪式链产生的群体符号、情感能量正向影响参与行为,群体团结对参与行为产生负向影响。

江苏生态环保公众参与的实践探索与对策研究

公众参与是建设美丽中国的内在要求和重要推动力量。党和国家对生态环保公众参与高度重视,提出要构建党委领导、政府主导、企业主体、社会组织和公众共同参与的现代环境治理体系。江苏在全国率先成立“省环境保护公共关系协调研究中心”后,持续深入开展生态环保公众参与工作的探索和实践,从强化培育引导、开展社会动员到推进制度建设,影响着公众生态环境行为发生了积极改变。建立并完善共建共治共享的多元主体共同参与机制,是构建现代环境治理体系的应有之义,需要建立生态环境治理协同机制,推动公众依法、理性、有序参与生态环境保护事务。

从意愿到行为:信息获取对公益社会体育指导员服务参与行为的影响——基于感知价值的高阶调节效应分析

为考察并探讨公益社会体育指导员服务参与意愿影响服务参与行为的前因机制中,信息获取的调节作用以及感知价值的高阶调节效应,通过便利抽样和滚雪球抽样方法对887名公益社会体育指导员进行问卷调查,采用STATA16.0和AMOS24.0对数据进行处理和分析。研究结果显示:(1)服务参与意愿可以显著正向影响服务参与行为,但并非具有服务参与意愿的公益社会体育指导员一定会采取服务参与行为,意愿与行为之间存在背离现象;(2)信息获取在服务参与意愿与服务参与行为之间具有显著调节作用,且较高的信息获取程度会进一步激发公益社会体育指导员的持续参与行为;(3)感知价值对信息获取与服务参与意愿对服务参与行为的交互效应具有高阶调节作用。

考虑公众噪音信息的PPP项目政府监管效率研究

公众参与PPP项目监管作为监管体系的补充受到越来越多的重视,公众参与项目监管的有效性成为PPP监管体系发展的关键。基于此,本文考虑公众参与项目监管存在噪音信息情形,构建了针对社会资本投机行为的演化博弈模型,并以社会总效用最大化为标准评估政府监管效率。研究表明,公众参与程度提升或公众噪音信息比例的减少均可以有效约束社会资本机会主义行为;但考虑政府监管效率最大化情况下,公众参与程度并非越高越好,而是存在与惩罚系数和公众噪音信息比例有关的最优值。综合分析可知政府监管部门如何有效发挥公众参与项目监管这把双刃剑的作用需要综合考虑公众参与水平、噪音信息比例、政府监管成本和惩罚机制的影响。

伊犁地区农户参与农民专业合作社意愿与行为差异研究

农民专业合作社的运营发展,能够提升农业专业化、机械化及组织化程度,在促进农业农村现代化过程中发挥了重要作用。本文基于计划行理论和可持续生计理论构建了农户合作社参与意愿与行为影响因素的分析框架,运用逻辑回归模型实证研究了影响农户合作社参与意愿与行为差异的影响因素。结果发现:行为态度、主观规范、行为控制、生计资本以及社会环境仍然会对农户参与合作社意愿与行为产生影响。最后,本文提出:提升合作社规模效益,保障农户经济性收入提升、加强合作社宣传工作,鼓励农户广泛参与合作社、促进多劳动力家庭入社,积极推动农业现代化发展、依靠生计资本可持续,推进农户生活持续改善、保障合作社运营外部环境,分类推进合作社改造提升。

女性家庭决策行为对居民家庭风险性资产配置的影响效应研究

基于清华大学中国金融研究中心消费金融网络调查数据等,运用Logit模型与Tobit模型实证估计了女性家庭决策行为对居民家庭风险性金融资产配置参与动机与参与深度的影响效果,并进行了区域异质性分析。实证研究发现:(1)女性家庭决策行为对居民家庭风险性金融资产配置的参与动机与参与深度均有正向促进效应,由此表明女性实施家庭决策安排有助于优化家庭资产投资组合策略。(2)区域异质性分析发现西部地区女性家庭决策行为对家庭风险性金融资产配置的参与动机有抑制影响,对参与深度有统计水平不显著的微弱正效应,而东部与中部地区的女性家庭决策行为对家庭风险性金融资产配置的参与动机与参与深度均有显著的正向影响,且东部的正向影响效果尤为明显。据此提出优化居民家庭决策模式以改善居民家庭资产配置方式的针对性政策。