商业银行发展电子商务市场策略研究

上世纪90年代以来,信息化浪潮席卷全球,以网络化、信息化、全球化为主要特征的网络经济已然成为不可逆转的发展趋势,人类社会开始步入电子商务时代。作为传统的支付中介和信用中介,商业银行能否抓住网络经济快速崛起的历史机遇,把握电子商务快速增长的市场节奏,面对雨后春笋般崛起的第三方支付机构,加速形成竞争与合作并举的良性环境,在新兴市场中确立电子金融服务的领先优势,对于处在由传统息差收入向利润多元化转型的商业银行来说具有极强的现实意义。     

浅析我国中小企业发展外贸型电子商务企业

2011年12月11日是中国加入WTO十周年。十年里,我国的出口规模增长超过6倍。借助电子商务,国内外贸中小企业在过去十年实现了百倍的增长。中小企业发展外贸型电子商务企业有其独特的优势,同时又存在一定的问题,中小企业可以找出对策,以发展成外贸型电子商务企业并进一步发挥其应有的作用。     

旅游地电子商务网络系统空间结构演化模式研究

由于旅游地网络市场成熟度不同,旅游电子商务网络系统的各要素在不同时期呈现出不同的空间组合。基于此,可借鉴空间结构理论及区域旅游电子商务网络系统的内部形态结构和不同发展阶段的特征,把旅游地电子商务空间结构演化模式分为空白模式、点状模式、放射模式、凝聚模式、扩散模式五种类型,并分析了各类模式的特征及适用条件。     

The shipping strategies of internet retailers: Evidence from internet book retailing

Managing the shipment of goods to consumers is one of the central aspects of retail competition on the internet. In this article, we analyze internet retailers’ shipping strategies using data from the internet book retailing industry. We find that, controlling for a variety of observable firm characteristics, firms with lower product prices offer lower shipping fees and higher quality shipping in terms of average delivery time, compared to firms with higher product prices. These patterns cannot be readily reconciled with a large class of models of competition under perfect consumer information. Theories based on imperfect consumer information can explain the findings better.

电子商务环境下消费者个体特性与购物行为的差异性分析

通过对高校、企业、党政机关事业单位人员个体特征和网络购物行为调查结果显示,消费者个体特性,即不同年龄、性别、收入及网络经验对网络购物频率和金额存在显著性差异,是影响消费者购物行为的重要因素。主要特征是:月收入8000元以上、网络经验8年以上、年龄在31-35岁之间的消费者的网络购物频率及金额显著高于其他消费者;女性的网络购物频率和购物金额显著高于男性;教育水平在网络购物频率与金额上没有显著性差异。网络零售企业或个人网店,应依据不同性别、年龄、收入和网络经验等制定相应的需求营销策略,以进一步促进自身经营业务健康快速发展。     

浅谈网络环境下服装零售新模式及策略

作为代表未来贸易方式发展方向的一种新型商业模式,电子商务是在计算机技术、网络技术以及以数据库的基础上发展起来的。传统零售商开展电子商务面对的最重要问题往往是如何将线下的资产与电子商务进行整合,本文就传统服装零售业发展电子商务的新策略进行了探讨,分别对产品、价格、渠道及促销新策略进行分析总结。     

跨境电商能否突破地理距离的限制

本文基于我国跨境电商蓬勃发展的崭新事实,重新审视地理距离与贸易规模这一国际贸易经典理论命题,并进一步探讨了互联网弱化地理距离负面影响的理论机制。基于跨境电商物流数据和传统贸易出口数据的研究表明:(1)与传统贸易出口相比,跨境电商出口受地理距离的负面影响较小;(2)贸易伙伴国互联网的发展能够在一定程度上弱化地理距离的负面影响,促进跨境电商出口的增长;(3)从个体层面看,地理距离的负面影响以及互联网的弱化作用,同样会作用于跨境电商企业出口的扩展边际和集约边际,而且二者的作用对于大、中型规模的跨境电商企业而言更加明显。这些结论为我国政府促进跨境电商发展的诸多政策措施、“互联网+外贸”战略以及“网上丝绸之路”建设提供了有力的经验证据支撑。     

Drivers of consumer adoption of e-Commerce: A meta-analysis

E-commerce has significantly reshaped consumers’ shopping processes and habits. The need to understand the key drivers of online shopping has received keen attention and fueled a rich strand of studies. To help managers and researchers synthesize this growing body of evidence, we conducted a comprehensive meta-analysis to unearth the factors that influence consumers’ online shopping. Our main takeaways reveal that the most important drivers of online shopping (a) conform to the TAM and TPB theories, in addition to (b) website characteristics and past experience. In particular, the multiple predictors are strongly related to online purchase intentions and purchase behavior, where attitude and convenience show the strongest impact. Furthermore, moderator analyses indicate that cultural traits have specific moderating effects on the links between purchase intention and some of its drivers. For instance, power distance and uncertainty avoidance have a positive effect, while individualism, indulgence and masculinity have a negative one. Finally, we apply meta-analytic structural equation modeling to test a conceptual framework including four groups of drivers (consumer–channel interactions, website characteristics, social influence, and consumer characteristics) and different aspects of online shopping. The findings provide valuable insights for online shopping research and practice.     

Measuring ease of use of mobile applications in e-commerce retailing from the perspective of consumer online shopping behaviour patterns

Scientifically judging and comparing different mobile e-commerce retailing applications (apps) are essential to increase online shopping efficiency and enhance design for system improvement. In this research, the use of mobile apps in e-commerce retailing is viewed as an information operation process, and distance of information-state transition (DIT) theory is introduced to measure the “convenience” of mobile apps to obtain service information. Thus, a novel DIT-based evaluation method for the ease of use of mobile apps in e-commerce retailing from the perspective of consumer online shopping behaviour patterns is proposed. Three representative Chinese enterprises, namely, Tianmao Mall, Jingdong Mall and Suning Easy-to-buy, are chosen as study objects. Moreover, the corresponding ease-of-use indicators of three mobile apps under typical online shopping behaviour patterns are evaluated quantitatively. Results show that this research has important implications not only for online consumers but also for designers of online shopping systems.     

How do relational bonds affect user engagement in e-commerce livestreaming? The mediating role of trust

E-commerce livestreaming depends heavily on user engagement. However, the effect of relational bonds (i.e., financial bonds, social bonds, and structural bonds) on user engagement in e-commerce livestreaming has not been well understood. Our study develops a conceptual model to investigate the impacts of relational bonds on user engagement and addresses the mediating role of trust. We collected data from users of the DianTao App. The results show that social bonds and structural bonds positively affect user engagement, while financial bonds have no direct impact on user engagement. Financial bonds, social bonds, and structural bonds are positively related to trust in the broadcaster. Similarly, financial bonds, social bonds, and structural bonds are also positively associated with trust in the platform. Furthermore, trust in the broadcaster and trust in the platform directly affects user engagement, fully mediating the impact of financial bonds on user engagement, while partially mediating the impacts of social bonds and structural bonds on user engagement. In addition, we find that experience moderates the mediating effects of trust between relational bonds and user engagement. The findings of this study provide useful insights for operators who should invest in building relational bonds and user trust to improve user engagement in e-commerce livestreaming.