关于网络团购中影响消费者购买意愿的因素的模型实证研究

随着网络团购的不断发展,这种新的消费现象逐渐引起了研究者的重视.本研究基于技术接受模型(TAM)和感知风险理论,采用结构方程模型(SEM),分析感知有用性、感知易用性和感知风险对消费者网络团购的购买意愿的影响.研究结果显示,感知风险和感知有用性是影响消费者团购意愿的两个关键因素.     

基于公众可获得信息的团购网信用特性研究

2010年初兴起中国的网络团购,经过短短的一年半疯狂扩张便急剧衰落,最主要原因是业内的信用乱象。网络团购信用失范的普遍性和严重性不仅损害了消费者的权益,打击了他们对网络团购的信心,而且最终制约了网络团购业自身的发展--2010年8月起大批团购网站相继倒闭。很明显,信用重建是中国网络团购业未来发展的战略需要,也是当前求生的必然选择。但是,网络环境下电子商务信用管理研究才刚刚起步,而其所依赖的网络信用理论的研究则基本空白。基此,本文以传统信用理论为指导,基于公众可获得信息开展团购网信用行为的基本特性研究,以期为网络团购及其他电子商务信用管理创新提供理论基础。     

感知风险影响下大学生网络团购决策模型

感知风险对于大学生参与网络团购消费行为的发生具有重要的决定作用。为了深入了解大学生参与网络团购的心理及行为,文章从大学生参与网络团购感知风险的角度入手,运用文献回顾、问卷调查的方法,利用因子分析归纳出影响大学生参与网络团购的5大因子。在此基础上,结合传统购物决策模型的研究,重新构建感知风险影响下大学生网络团购决策模型,并深入分析了网络团购感知风险对于大学生团购决策过程各部分的影响,有利于全面深入了解大学生参与网络团购的行为特点。     

团购网站消费者忠诚度研究——基于心流体验和信息系统持续使用理论

基于心流体验理论与期望确认理论建立了研究团购网站消费者忠诚度影响因素的混合模型.通过问卷调查来搜集数据,并运用SPSS17.0与AMOS17.0软件进行处理.研究表明,感知控制、感知愉悦性、精神集中度、期望确认度均对感知有用性和满意度具有显著性作用,并进一步影响团购网站消费者的忠诚度.     

基于相关和聚类算法的团购网站销售额因素分析

团购网站作为近年崛起的新型电子商务营销模式,在消费者与商家交易的过程中产生了大量的数据,引入相关和聚类等统计算法对多个团购网站的销售数据进行分析处理,寻找影响团购产品销售额和团购网站效益的主要因素,对团购网站运营提出建议。     

团购网站消费者的特点

今年初,团购网站在我国迅速发展,吸引了大批的消费者参与其中。本研究探讨了团购网站中的消费者在个体、群体和营销目标不同属性下的表现出的与传统网络购物消费者的不同特点,并就团购网站的主要营销策略——体验式营销进行了剖析,讨论它与消费者之间的关系。     

浅析中国电子商务环境下新型团购模式

在我国电子商务迅速发展环境下迅速崛起了一大批团购网站,但他们大多仿照国外专业团购网站的经营方式,现就这些团购网站的商业模式及其优、劣势做出分析。     

团购网站消费行为模式的信息经济分析

团购网站Groupon是在web2.0环境下产生出来的一种新兴电子商务模式,发展进程具有跳跃式增长的特点,其具有羊群效应、长尾理论、网络外部性等显著的信息经济学特性。从信息经济学的角度来分析,网络团购交易过程本身就是一种博弈,团购网站消费行为模式体现了重复博弈的特性,商家、网站、用户三方之间也存在着信息不对称的情况。通过网络团购的价格离散,可以实现市场的分离均衡,优化市场效率,提高市场容量。     

电子商务导航网站评价研究

融合电子商务网站评价理论与网络信息资源检索理论,从网站基础数据、信息质量、网站设计、系统性能、链接资源数量、链接资源质量六个方面构建电子商务导航网站评价体系。利用本指标体系对两大电子商务团购网站武汉站(tuan123武汉站及tuan800武汉站)进行多角度对比分析,研究表明前者用户界面良好、资源推荐力强,后者链接资源丰富,整体质量高。最后,从链接数量与质量、信息服务能力、信息控制水平对电子商务导航网站的建设与发展提出了建议。     

消费者网络团购参与意愿分析

网络团购已成为近两年最流行的购物方式之一。然而,随着团购网站的高速发展,网络团购市场也出现了阻碍其发展的一些问题,所以有必要对消费者网络团购参与意愿进行研究,帮助团购网站增强营销能力。在对技术接受模型及其相关理论进行回顾的基础上,构建网络团购的消费者参与意愿模型,并进行实证研究。通过问卷调查收集相关数据,运用spss 13.0进行数据分析以验证各个变量间的关系以及该模型的合理性。     

Defining key drivers of online impulse purchasing: A perspective of both impulse shoppers and system users

With the proliferation of e-commerce, a large part of online shopping is attributed to impulse buying. Hence, there is a particular necessity to understand impulse buying in the online context. Impulse shoppers incline to feel unable to control their tendencies and behaviors from various stimuli. Specifically, online consumers are both the impulse shoppers and the system users of websites in the purchase process. Impulse shoppers concern individual traits and system users cover the attributes of online stores. Online impulse buying therefore entails two key drivers, technology use and trust belief, and the mediator of flow experience. Grounding on flow experience, technology-use features, and trust belief, this study proposes a novel research model to examine impulse buying behavior in a complete manner. Data were collected from an online survey. Data analysis considers structural equation modeling technique with formative structure. Empirical results showed that flow experience is an important factor to affect impulse buying from its original drivers. Trust belief is also critical to impulse buying as perceived usefulness is not. Implications for managers and scholars are further discussed.     

网络环境下感知风险、信任对消费者购物意愿的影响研究

感知风险是影响消费者购买行为和决策过程的重要因素,也是消费者行为研究的重要内容,而消费者对网上购物的感知风险更成为促进消费者网上购物的关键。在信任模型的基础上,首先对感知风险理论进行了总结回顾,梳理了以往感知风险理论研究的维度。在分析网络环境下信任、消费者感知风险、购物意愿三者关系的基础上,提出信任是感知风险的前因变量;感知易用性和信任共同影响感知有用性,进而影响购买态度和意愿;同时信任对购买态度有直接影响。基于此提出了网上消费者购买意愿模型,并对今后的研究方向作了展望。     

Defining the determinants of online impulse buying through a shopping process of integrating perceived risk,expectation-confirmation model,and flow theory issues

Since much online shopping is attributed to online impulse buying, it is important to define this particular shopping process. This process has three important issues, perceived risk for virtual stores as well as e-store design and psychological state for online shopping. This is because consumers are both system users and impulse buyers when shopping on e-stores. E-store design is based on the interaction of customers with e-stores and the expectation-confirmation model supports examination of this issue with a wide familiarity in IT use. Psychological state is emotional responses to the stimulus of products in e-stores and flow theory, with task skill and task challenge as precursors, is suitable for exploring this issue. Grounding on the three issues, this study proposes a new research model with these considerations to thoroughly examine the determinants of online impulse buying. Flow state and customer satisfaction also interact with each other. Empirical research shows an important link for the three defined issues of online impulse buying.     

Exploring consumers’ impulse buying behavior on social commerce platform: The role of parasocial interaction

Social commerce, a recent branch of e-commerce, has made the experience of consumers on social commerce platform (SCP) different from other contexts, as the consumers have social interactions with each other. Growing evidence also shows that consumers on these platforms are prone to impulse buying behavior owing to the social interactions. However, existing research on online impulse buying was limited when illustrating the behavior of consumers on SCPs as social relationship constructs were not included. New theoretical developments are needed in regard to fill the research gap. In this research, parasocial interaction (PSI) theory is introduced in this research to examine the influence of social relationship factors on the formation of impulse buying behavior. An empirical research has been conducted on Mogujie (www.mogujie.com), one of the most popular image-sharing SCPs in China. Results indicate that PSI exerts an impact on impulse buying tendency, the social-relevant features of the SCP determine PSI, and perceived usefulness and PSI both significantly affect perceived enjoyment. In addition, consumers’ perceived enjoyment and impulse buying tendencies significantly affect their urge to buy impulsively. The implications, limitations, and discussions are provided.     

旅游网站顾客信任感影响因素的实证研究

本文讨论影响旅游电子商务网站顾客信任感的主要因素。在文献研究和访谈调查的基础上,笔者进行了问卷调查。通过对所得的有效数据进行因子分析和多元回归分析,结果表明：（1）顾客对旅游电子商务网站的信任感主要受到网站的服务质量（其中包括网站设计、服务可靠性、隐私和安全、客户服务）、顾客对网站的熟悉程度、网站的声誉等6个因子的影响。（2）这6个因子对顾客网上信任感的影响程度从大到小依次为：网站的声誉、隐私和安全、熟悉程度、服务可靠性、客户服务、网站设计。     

Assessing the effects of consumers’ product evaluations and trust on repurchase intention in e-commerce environments

This study enhances the existing literature on online trust by integrating the consumers’ product evaluations model and technology adoption model in e-commerce environments. In this study, we investigate how perceived value influences the perceptions of online trust among online buyers and their willingness to repurchase from the same website. This study proposes a research model that compares the relative importance of perceived value and online trust to perceived usefulness in influencing consumers’ repurchase intention. The proposed model is tested using data collected from online consumers of e-commerce. The findings show that although trust and e-commerce adoption components are critical in influencing repurchase intention, product evaluation factors are also important in determining repurchase intention. Perceived quality is influenced by the perceptions of competitive price and website reputation, which in turn influences perceived value; and perceived value, website reputation, and perceived risk influence online trust, which in turn influence repurchase intention. The findings also indicate that the effect of perceived usefulness on repurchase intention is not significant whereas perceived value and online trust are the major determinants of repurchase intention. Major theoretical contributions and practical implications are discussed.     

The fitness of product information: Evidence from online recommendations

Recently, online recommendations have become a main channel for enterprise promotion; however, little evidence has been directed toward understanding the fitness of products information in the online recommendations context. The current study examines the fitness of recommended products information and budget of customers selves’ situation tries to find the key factors that buy exceed the recommended products in the online channels. Drawing upon the customer satisfaction index (CSI) and the price information seeking behavior (PISB) model, this paper proposes a research model and validates it in the context of recommendations from the well-known e-commerce websites from 342 participants. With Amos 18.0 this study finds that, in the online environment, the constructs of CSI are evaluated in online recommendations, in addition, finds the fitness of products information can be vital factor impact perceived quality, value, satisfaction, and buy extra. Moreover, the budget constraints of customers positively impact price comparison, and price comparisons negatively impact satisfactions. This research sheds light on the buy extra behavior in online recommendations and provides insights into the marketing promotion strategies in electronic markets.     

B2C电子商务中感知风险降低策略的有效性研究

以书籍和服装作为搜索型和体验型商品的代表,通过网上模拟实验调查的方式对主要风险降低策略在中国的有效性进行了实证检验。研究结果表明,网上消费者对体验型商品所感知的绩效风险、心理风险和物理风险显著大于搜索型商品,而在社会风险、经济风险和隐私风险方面却没有显著差异;支付安全性、网站声誉、在线展示、退款保证、更换商品是消费者认为最有效的五种降低在线购买感知风险的策略。     

后疫情时代下消费者购买生鲜农产品渠道迁移意愿研究

[目的/意义]旨在为后疫情时代下消费者的渠道迁移意愿研究的研究提供参考.[方法/过程]以PPM模型结合TAM模型为理论基础,从推、拉、锚定三方面研究消费者购买生鲜农产品迁移意愿的影响因素.对生鲜电商在线评论进行文本分析得出,线上渠道的平台服务、产品质量和包装物流会影响消费者感知线上渠道有用性,将这三个因素代入模型拉力因...