The new wave of AI-powered luxury brands online shopping experience: The role of digital multisensory cues and customers’ engagement

Academic literature retains a dearth of empirical evidence of the cutting-edge aspect of artificial intelligence (AI)-powered digital assistance and digital multisensory cues, despite the prospect of these factors on real-life customers' luxury brand online shopping experience. Thus, the aim of this study is to examine the significant pathway and effects of AI-powered digital assistance toward customers’ luxury brand online shopping experience. Drawing on S–O-R (Stimulus, organism, and response) and TRAM (Technology Readiness and Acceptance Model) paradigm, a multi-method research design was deployed to investigate constructs. Firstly, semi-structured interviews were utilized to explore customers' online behavior under the luxury brands and information technology aspect. Secondly, survey data were collected and analyzed by using partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The PLS-based analysis of quantitative data confirmed the exploratory insights of qualitative findings, establishing the connections of AI-powered digital assistance, customer engagement, and customers' luxury brand online shopping experience. Research findings also suggest that customer engagement plays a mediation role in the relationship between AI-powered digital assistance and customers' luxury brand online shopping experience. Besides, digital multisensory cues moderate the relationship between AI-powered digital assistance and customer engagement. Further, fsQCA complements the findings of PLS-SEM that reveal the significant combination of factors that lead to the perceptions of customers' luxury brand online shopping experience.     

The importance of consumer multihoming (joint purchases) for market performance: Mergers and entry in media markets

Consumer “multihoming” (watching two TV channels, or buying two news magazines) has surprisingly important effects on market equilibrium and performance in (two‐sided) media markets. We show this by introducing consumer multihoming and advertising finance into the classic circle model of product differentiation. When consumers multihome (attend more than one platform), media platforms can charge only incremental value prices to advertisers. Entry or merger leaves consumer prices unchanged under consumer multihoming, but leaves advertiser prices unchanged under single‐homing: Multihoming flips the side of the market on which platforms compete. In contrast to standard circle results, equilibrium product variety can be insufficient under multihoming.     

欧盟视阈下在线平台中个人数据的增值税处理

近年来,在线平台的迅猛发展推动了全球经济数字化加速转型,但同时也引发了包括增值税政策适用在内的诸多挑战.通过研究《欧盟增值税指令》和欧州法院的判例法,以及分析个人数据与在线平台运行之间的关系可以推断出,个人数据是在线平台提供访问服务构成的增值税应税范围内的供应,且与消费者是否向在线平台支付金钱形式的对价无关.在实践中,使用客观价值方法来确定在线服务供应的应税金额存在实际困难,而使用直接联系标准解决易货交易问题,会导致增值税税基在本质上得到扩张.因此,建议当前不要将在线平台访问服务的供应视为一项应税交易.此外,对于商家为获得消费者数据而向平台付款的情形,因其不符合直接联系标准,也不应被视为服务对价.     

The mechanism of credit risk contagion among internet P2P lending platforms based on a SEIR model with time-lag

The credit risk contagion of Internet peer-to-peer (P2P) lending platforms is an important part of Internet financial risk management and supervision. This study analyzes the contagion path of credit risk in Internet P2P lending. Based on complex network theory and the theory of infectious disease dynamics, the characteristics of Internet P2P lending development are combined to construct a SEIR model of credit risk transmission among Internet P2P lending platforms with time lag, and the robustness of the model is analyzed and proven. The influence of platform correlations, the susceptible immune rate, the platform elimination rate, contagion latency, the saturation coefficient, and the susceptibility input rate on credit risk contagion behavior among Internet P2P lending platforms is analyzed, using the equilibrium point and threshold value. The impact of each variable is analyzed by simulation. Corresponding countermeasures and suggestions are proposed to prevent and control credit risk contagion among these platforms.     

中国大中型造纸企业技术创新机制探讨

建立和健全大中型企业以技术创新为核心的技术进步的内在机制 ,保障提高技术创新的绩效是目前亟待解决的问题。本文根据 2 0 0 0年中国科技统计年鉴中的数据 ,对大中型造纸企业在技术创新方面存在的主要问题进行分析 ,就如何完善其动力机制和运行机制提出建议     

Sanov meets Cramér again

We introduce a new method for proving large-deviation principles (LDPs). This method amounts to "mixing" a collection of LDPs with a sequence of probability measures that obeys itself an LDP. As an illustration, we construct from empirical measures a sequence of capacity-valued maps that can be considered as an indexed collection of LDPs. The index 1 coincides with Sanov's theorem. By taking a Poisson mixture we establish a new connection with Cramér's theorem.     

网上证券交易的国际比较和借鉴

网上证券交易是全球证券经纪业务发展的一大趋势，而我国在这方面尚处于初步发展阶段，文章主要阐述借鉴其他国家在网上证券交易的相关做法，结合我国现状提出对发展我国网上证券业务的建议。     

刍议虚拟财产的法律保护

随着网络,尤其是网络游戏的迅猛发展,虚拟财产的交易及其保护引发了是否要对其加以保护,如何进行保护,如何进行规范等一系列问题,在我国的司法实践中已经不得不开始面对这类纠纷的裁判,而在法律上有关虚拟财产的规则尚处于不确定的空白,给这类纠纷的解决带来了很大的障碍,基于此,进行虚拟财产特性、交易等等相关法律问题的研究,并在探讨其合法性的前提下,进一步论证虚拟财产的法律保护规则的建构具有十分重要的理论意义与现实意义。     

蒙代尔-弗莱明模型在发展中大国的适用与延伸

M-F模型是开放经济宏观经济学的基本模型,其存在的缺陷和局限是理论拓展的主要方向。本文对M-F模型的前提假定和分析过程作出了放松和修正,使其适用于发展中大国的情形。并在M-F模型的货币政策效应分析基础上,提出M-F模型在发展中大国的延伸分析方法,即Semi-M-F模型分析方法,指出发展中大国的货币政策是部分起作用的。最后,对Semi-M-F模型分析方法在中国的应用进行评述。     

分布式通信流分析系统的实现

文章介绍了通信流分析以及匿名通信的研究现状,并分析了现在研究通信流分析所采用的几种流分析工具,指出他们对于匿名通信的通信流分析的不足之处,最后,提出了适应于匿名通信的分布式通信流分析系统的实现方法。