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.     

In the city: The John Lewis partnership and planned shopping centres

A defining feature of large-scale retailing during the period 1950–1980 was the emergence and evolution of planned shopping centres. During the 1950s, department stores in the United States were in the vanguard of this phenomenon. In contrast, British department stores continued operating from traditional high street sites, and had limited opportunities for expansion within planned shopping centres until the 1970s. This paper addresses the connection between department store retailing and the development of the planned shopping centre in Britain from the perspective of one enterprise: the John Lewis Partnership. The article demonstrates that the Partnership was willing to operate department stores within centrally located shopping centres, but was circumspect about operating stores in non-centrally located shopping centres.     

浅谈假日经济对中国经济的长期拉动效应

假日经济已成为国民经济的重要组成部分,并在国民经济中发挥着日益重要的作用。但在假日经济的发展过程中,也出现了一系列的负面效应,影响了假日经济的持续发展。文章就如何发挥假日经济的长期拉动效应,提出了相应的对策。     

景区拓荒群体的旅游特征——以福建邵武天成岩为例

邵武市天成岩是一处原始旅游地,已有一些旅游者自发而来。这些拓荒群体以中青年为主,他们多数经人介绍获得信息,以猎奇心态对景区观光漂流体验活动感兴趣,他们希望景区保持原样,不要太多人为干扰。这些拓荒群体的旅游特征对原始旅游地开发具有一定的指导意义。     

竞争与创新:推动旅游购物品市场演进的两股力量

我国旅游购物品市场呼唤建立在稳定质量基础上的品牌竞争，竞争的结果必然导致市场的分裂，而创新又带来市场的再结合。在分析旅游购物品品牌竞争的基础上，论述了旅游购物品创新的目的和内容。     

西藏旅游人力资源需求内因分析

西藏旅游企业从业人员规模还十分弱小,特别是旅游企业中导游队伍有待开发.而随着社会经济的发展以及结构的调整,旅游就业总量将不断增长,就业结构也会趋于合理;同时,西藏旅游开发战略模式决定了其从业人员的专业性和多样性,西藏4A级旅游区(点)的发展及扩增也将扩大就业人群.     

基于旅游者和日常访问者人群行为的城市型景区“共处”空间研究

针对城市型景区内旅游者和日常访问者相互影响的现象，提出“共处”空间概念，从“空间-行为”关系视角总结“共处”空间的时空特性，形成“共处”空间判别依据。基于计算机视觉技术，通过问卷调查，将人群行为划分为互不干扰、围观及参与、干扰及冲突3类，从空间优化与管理角度对列入公园年票体系中的城市型景区提出建议，梳理2类人群关系，提高游憩体验质量。     

用反木桶定律探析邮政物流的利益点

从管理学木桶定律的角度,分析了邮政物流发展所具有的优势,探讨了邮政体制改革后邮政物流发展的利益点。     

Two-settlement Systems for Electricity Markets under Network Uncertainty and Market Power

We analyze welfare and distributional properties of a two-settlement system consisting of a spot market over a two-node network and a single energy forward contract. We formulate and analyze several models which simulate joint dispatch of energy and transmission resources coordinated by a system operator. The spot market is subject to network uncertainty, which we model as a random capacity derating of an important transmission line. Using a duopoly model, we show that even for small probabilities of congestion (derating), forward trading may be substantially reduced, and the market power mitigating effect of forward markets (as shown in Allaz and Vila 1993) may be nullified to a great extent. There is a spot transmission charge reflecting transportation costs from location of generation to a designated hub whose price is the underlying for the forward contract. This alleviates some of the incentive problems associated with the forward market in which spot-market trading is residual. We find that the reduction in forward trading is due to the segregation of the markets in the constrained state, and the absence of natural incentives for generators to commit to more aggressive behavior in the spot market (the strategic substitutes effect). In our analysis, we find that the standard assumption of no-arbitrage across forward and spot markets leads to very little contract coverage, even for the case with no congestion. We present an alternative view of the market where limited intertemporal arbitrage enables temporal price discrimination by competing duopolists. In this framework, we assume that all of the demand shows up in the forward market (or that the market is cleared against an accurate forecast of the demand), and the forward price is determined using a market clearing condition.     

步行街在旅游业中的地位和作用的研究概述

商业步行街在城市旅游中占有重要的地位和作用。通过综述众多学者对步行街在旅游业中的地位和作用的研究，发现存在一些问题和不足，进而提出自己的研究构想。