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 social process of internet appropriation: Living in a digitally advanced country benefits less well-educated Europeans

We generalize and extend the sequential model proposed by the resources and appropriation theory to explain the digital divide in the European Union plus the United Kingdom (EU27+UK). We measure the theoretical constructs of the model with data provided by the EU and test the theoretical predictions using a partial least squares structural equation model. We find support for the hypothesized relationships but find that the effects vary depending on the digital development level of countries. While education overall is the primary determinant of the social production of digital inequalities, a country's digital development level is crucial for less well-educated Europeans. These findings have theoretical and practical implications: (1) they call into question the homogeneity of the effect of causal relationships and the assumption that individuals differ only in terms of motivation, access, and digital skills, and (2) they indicate that socially disadvantaged Europeans benefit from living in more digitally developed countries.     

浅谈基于大数据背景下的数字经济发展——以数字电网为例

我们已经进入了一个全新的大数据信息化时代,充满了更多的机遇与挑战。大数据及数字经济的出现极大程度地改变了传统技术及工作思维的方式。数字经济是继工业和农业之后的又一大经济形态,为社会的经济增长提供了新的动力。通过分析电网行业传统的科学技术及作业方式,论文简要阐述了基于大数据信息化发展下电网的影响,并认为信息化技术的发展对于数字经济有着至关重要的影响及重要性。最后论文讨论了数字经济发展存在的问题及方向。     

我国物流业2019年发展回顾与2020年展望

2019年是中华人民共和国成立70周年,也是物流业稳中有进、变中求新的一年。面对严峻形势,我国物流业顶住下行压力,实现平稳运行,取得多方面进展。具体而言,一是社会物流需求增速持续放缓,总体运行缓中趋稳;二是物流需求结构持续优化,物流供给结构稳步升级,供需结构加速调整;三是科技应用引领数智化转型,科技赋能物流数智化、平台化;四是新兴的供应链服务企业向标准化发展迈出了重要一步,供应链创新发展进入新阶段,现代供应链成为新亮点;五是物流基础设施网络加快升级,物流枢纽网络建设进入实质推进阶段,助力枢纽经济发展;六是物流业"走出去"空间加大,国际物流打开对外开放新局面,我国对外投资合作与对外援助执行保持平稳有序健康发展;七是绿色物流配合污染防治攻坚战,绿色可持续物流取得新进展;八是物流政策落地,物流企业获得感增强,从业人员稳定性增强,物流营商环境持续改善。2020年,我国经济稳中向好的基本趋势不会改变,物流业平稳增长的总体方向不会改变,物流业主要经济指标将继续保持平稳增长,但物流业下行压力依然较大,发展不平衡、不充分矛盾依然比较突出,与人民群众日益增长的美好生活需要和现代化经济体系建设的要求相比依然存在差距,高质量发展任重道远。在新的一年里,为更好地推动我国物流业发展,一要平衡物流稳增长与高质量发展关系,决胜全面建成小康社会;二要坚持目标导向,探索新时代物流业发展的新使命新要求;三要突出新发展理念,推动传统数量型降成本向效率型降成本转变;四要深化产业联动融合,从低水平粗放式发展向精细化、高品质发展转变;五要坚持科技引领和技术驱动,激发物流业高质量发展新动能;六要推进国家物流枢纽联盟工程和全国百家骨干物流园区互联互通工程,建设物流基础设施网络;七要配合"一带一路"倡议,推动国际物流合作与交流;八要进一步处理好政府与市场、国家与地方、市场与企业的关系,营造政府、企业与协会合力推动物流业高质量发展的产业生态圈。     

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.     

数字档案库参与“非遗”保护发展路径探析——以岭南传统艺术影像档案库为例

针对新时代非物质文化遗产传播和保护面对的现实问题，对非物质文化遗产传承和保护的数字化路径进行深入分析，对岭南传统艺术影像档案库参与非物质文化遗产保护和传承的实践研究得出，新时代的非物质文化遗产传播与保护应当充分运用数字化技术，借助新媒体平台为非遗保护传承赋能。通过创建非物质文化遗产数字化档案库的建设等多种方式，让数字化技术应用到非物质文化遗产的传承和保护当中。     

企业数字化转型程度对融资成本的影响

近年来，大量企业基于数字化转型实现了弯道超车。选取2007—2021年A股上市公司数据，利用企业年报中数字关键词的词频来描述数字化转型程度，研究企业数字化转型程度对企业融资成本的影响。研究发现：企业数字化转型与融资成本显著负相关；检验延长时间窗口发现，在企业实施数字化转型后的一段时间内，数字化转型仍然降低了融资成本；根据异质性分析，数字化转型对非国有企业降低融资成本产生的效果更好，且东部地区企业深化数字化转型降低成本的作用更显著。     

The Limitations of International Relations Regarding MNCs and the Digital Economy: Evidence from Brazil

ABSTRACT

Multinationals (MNCs) have been considered a relevant research topic for International Relations since the emergence of the field of International Political Economy in the 1970s. Nowadays, MNCs are undergoing deep changes in their business models and global strategies due to the digital economy. This has considerable implications for the international system. For instance, the rise of information and communication technology (ICT) MNCs to the top of market value lists globally. Nonetheless, IR scholars have been slow in grasping the importance of ICT MNCs and the digital economy. In this paper, I justify this statement by evaluating the inclusion of MNCs and ICT MNCs in Brazilian IR scholarship. The method used is a bibliometric mapping of the scientific production of Brazilian IR scholars, supported by a systematic literature review. The results showcase that, in spite of the impact of digitalization on Brazil's economy and politics, IR scholars have conducted few studies on MNCs and practically no studies on ICT MNCs. This case illustrates the emergence of new dynamics in global value chains triggered by digitalization. It also illustrates the challenges for developing countries such as Brazil to engage in global production networks within the highly competitive ICT sector.     

中国数字经济空间关联网络及其影响因素分析

基于2013年和2020年29个省的数据，用因子模型测算各省数字经济发展水平，在此基础上使用修正引力模型构建数字经济空间关联网络，并深入分析此网络特征。结果表明：中国数字经济发展水平存在差异，东部地区高于中西部地区；中国数字经济空间关联网络密度不断增大；北京、山东、江苏一直是网络的重要输出省份，近年来西部地区在网络中的作用越来越明显；地理位置相邻、贸易开放度和产业结构对网络的形成有显著影响。     

一种级联两箱通用数字预失真器及其辨识算法

提出了一种由单形规范线性分段(SCPWL)函数与记忆多项式级联的数字预失真器，并给出了复数域两步最小二乘参数辨识算法。不同于以往一种预失真器适用一种功放模型的情况，所提的预失真算法利用SCPWL函数的分段特性以及记忆多项式的非线性记忆特性，在完成参数辨识的同时自动地调整结构，可适用于传统以及强非线性新型功放模型的线性化补偿。将所提预失真器分别应用于传统记忆多项式、两箱模型以及新型包络跟踪功放。经过计算机仿真，功放输出的幅频特性和频谱曲线表明所提预失真器能够有效地补偿多种功放的非线性特性。算法仿真比较结果也表明，针对包络跟踪功放，所提复数两步最小二乘算法的邻道泄漏比(ACLR)可改善约35 dB，性能优于最小均方(LMS)类算法约30 dB。