在线购物放弃行为驱动因素的实证分析

研究消费者在电子购物环境下如何放弃他们的购物行为以及为何放弃,在理论上可以确定消费者在线购物背后的驱动因素以及抑制网上交易完成的主导因素,在实践中有助于网上零售商更好地了解消费者的消费偏好和兴趣,打造迎合消费者喜好的网站,以提升销售业绩.研究发现:在消费者在线购物过程中,在线购物娱乐价值、在线购物车组织功能和低价偏好显著影响购物放弃行为.     

消费者网络购物行为影响因素分析

互联网的发展带动更多的人选择网上购物,影响消费者购物选择的因素也越来越多。对影响网络购物行为因素进行系统讨论有较高的研究价值。本文介绍了网络购物的优缺点,然后阐述了对网络购物行为的影响因素。     

消费者购物动机研究述评北大核心CSSCI

购物动机被认为是隐藏在消费者行为背后的内在驱动力,它回答了消费者为什么会发生购买行为。研究表明,购物动机分为实用型购物动机和享乐型购物动机,其中实用型购物动机的消费者是目标导向的,关注购物任务本身,而享乐型购物动机的消费者关注购物的体验和情感方面。深入探寻消费者购物行为背后的动机,有助于学者和企业深入了解消费者的购物态度和购物行为,进行市场细分,确定营销战略,同时也促进消费者行为理论的发展。     

网络购物决策影响因素分析

近年来,我国网络购物市场逐步成熟,网络购物交易规模和用户规模的双发展,直接影响到网络购物消费者在选购商品时的购买决策流程.当消费者在网络上面临更多商品、更多商家的选择时,如何进行决策则成为网络购物的关键.因此,了解网络购物决策的影响因素并采取有效措施促成网络购物决策是企业开展网络营销的现实需要.     

网络购物中消费者信任影响因素概述

近年来,网络购物在中国发展迅速,增强消费者对网购信任是促进其健康发展的重要推动力。众多学者纷纷对网络购物中影响消费者的信任影响因素进行了研究。文章首先对网络购物现状进行阐述,其次从卖家、买家、网络购物环境三个方面对因素进行梳理,总结了影响网购中消费者信任的因素。     

网络购物对社会经济及消费者知情权的影响

随着社会经济的繁荣发展,网络技术的普及以及应用,网络购物作为一种新型的消费形式,在中国市场近年来如火如荼地发展。网络购物的迅速发展在改变消费者的生活方式、促进国民经济发展的同时,也出现了虚假信息等损害消费者知情权的情况。本文结合现阶段我国网络购物的现状,分析网络购物行为对经济社会的影响,并从经营者、消费者、监管者等方面探析网络购物行为对消费者知情权的挑战。     

网络购物决策影响因素分析

近年来,我国网络购物市场逐步成熟,网络购物交易规模和用户规模的双发展,直接影响到网络购物消费者在选购商品时的购买决策流程。当消费者在网络上面,临更多商品、更多商家的选择时,如何进行决策则成为网络购物的关键。因此,了解网络购物决策的影响因素并采取有效措施促成网络购物决策是企业开展网络营销的现实需要。     

网络购物行为研究综述

网络购物伴随着互联网科技的成熟而发展壮大,各国学者也对这一新型的消费模式进行了研究.目前网络购物消费行为的研究主要体现在三个方面:一部分研究着从影响消费者网上购物行为的因素着手进行研究;还有的研究者对整个决策过程进行研究;另外一部分从不同的文化背景出发,探寻各国消费者的不同消费模式,做跨文化研究.     

网络购物中的消费者合法权益的保障研究

近几年,网络的快速发展已经让网络购物成为人们最为喜爱且被大众接受的消费方式之一。但是因为网络虚拟的特点,就出现了消费者维权难的问题,让许多的消费者的利益受到严重的损害。为了确保更好的保护消费者的合法权益,让消费者安心在网上购物,本文主要分析我国目前的网络购物情况,分析目前存在的问题和对策,更好的帮助消费者维护合法权益。     

浅谈我国网上购物的发展现状

网上购物的产生和发展,一方面为消费者和商家带来诸多便利和实惠,另一方面由于网上购物存在的各种弊端,也带来了诸多隐患.本文从我国网上购物的发展现状出发,阐述了网上购物存在的各种制约因素,并针对存在的问题提出了相应的解决办法.     

网络团购和传统渠道的冲突与互补

网络团购这个渠道是否能为企业带来新的利益增长点,这个利益增长点起到的作用能否大于网络团购对传统渠道可能形成的冲击,是值得研究的问题。研究表明,网络团购的作用不仅仅是为了达成交易量,同时也具有推广和宣传的作用,带来更多的潜在消费群体在传统渠道上进行消费;而传统渠道能为企业带来稳定的收益,是企业开展网络团购活动的基础。网络团购与传统渠道的关系是像企业的两支手,它们面临着不同的消费群体,并存在各自的优势与劣势,避免冲突并形成合作互补才是最佳途径。     

Strategic Auditor Behavior and Going-Concern Decisions

This paper analyzes a game-theoretic model in which a client can potentially avoid a going-concern opinion and its self-fulfilling prophecy by switching auditors. Incumbent auditors are less willing to express a going-concern opinion the more credible the client's threat of dismissal and the stronger the self-fulfilling prophecy effect. Similarly, the client is more willing to switch auditors the more likely it is that auditors' reporting judgments will differ and the stronger the self-fulfilling prophecy effect. Further, with greater noise in the auditor's forecast of client viability, the auditor tends to express fewer going-concern opinions.     

网络购物对货币需求的影响研究

随着经济下行压力的增大,“稳增长”成为中国经济发展的重要目标。网络购物作为消费的重要组成部分,探讨其与货币需求的关系有助于达成“稳增长”这一重要目标。运用误差修正模型对网络购物与货币需求之间的短期、长期关系进行研究,结果显示：长期看来,网络购物以0.199的比率促进货币需求量的增长,但是短期看,网购却对货币需求产生了负向影响,其比率为0.101。这种负向影响得到了修正,使得长期的正向趋势不变。     

Marriage between credit cards and the Internet: Buying is just a click away!

This paper examines whether Internet access positively affects credit card balances. To that end, we compare the 2010 and 2013 Surveys of Consumer Finances, analyze the consistency of the results over time, and provide the rationale for any resulting differences. Using the censored techniques, our results indicate that Internet access has a positive effect on credit card balances, which suggests that consumers with Internet access are prone to higher balances compared to those without. The probability of carrying positive balances was larger in 2010 compared to 2013. Overall, the results suggest that, while the financial crisis might have contributed to higher balances in 2010, the economic recovery afterward seems to have eased the burden of credit card debt.     

Alcohol taxes,tax revenues and the Single European Market

This paper addresses the issue of whether tax revenue from alcohol lost through cross-border shopping could be recouped by cutting excise duties. This in turn depends on the elasticity of demand for alcohol. We use data from the Family Expenditure Survey 1978–96 to estimate own- and cross-price elasticities of demand for beer, wine and spirits before and after completion of the Single Market. We find no evidence of a significant change in elasticities after the Single Market. The tax rates on beer and wine are currently below their revenue-maximising rates, implying that a cut in the duty rate on beer or wine would lead to a decrease in indirect tax revenue from alcohol. We cannot reject that the current tax rate on spirits is at the revenue-maximising rate, implying that further increases in the duty on spirits are likely to cause indirect tax revenue to fall.     

Inter-Center Retail Externalities

This paper empirically examines inter-center externalities in regional shopping centers. Specifically, we use a non-linear retail share model to measure the impact that department store size and image in subject and competitive centers have on subject center in-line retail sales. Our findings reveal that department store size and image attributes have a significant and non-linear impact on subject center sales. More importantly, the results show that the effect of department store fashion image dominates that of department store size.     

Factores determinantes de la lealtad al proveedor de servicios turísticos online

The aim of this study is to analyze the factors determining loyalty towards online tourist services supplier with a model which integrates the influence of trust in tourism websites with the conceptual framework of the Theory of Planned Behaviour (TPB). The hypotheses were tested on a sample of 305 airline travel tickets online purchasers, with the use of structural equation models. The results of the empirical study suggest that the three variables of TPB (perceived control, subjective norm and attitude) positively influence loyalty towards Internet use to purchase airline tickets. The role of trust is especially relevant as it also boosts the effect of TPB variables. Finally, a set of managerial implications are considered.     

Do Audit Clients Successfully Engage in Opinion Shopping? Partner‐Level Evidence

This study investigates whether companies engage in audit opinion shopping activities by exerting influence over an audit firm's decision to switch the engagement partner (“partner‐level opinion shopping”) in the Chinese setting, where the identities of engagement partners are publicly disclosed. Adopting the empirical framework developed by Lennox [2000], we show evidence that companies successfully engage in partner‐level opinion shopping. Further, partner‐level opinion shopping is more likely to be successful if a company is economically important to an audit firm, and it is less likely to be successful if the audit firm is formed as a partnership rather than a corporation. We also find that companies successfully engaging in partner‐level opinion shopping exhibit significantly lower earnings quality. Finally, we directly compare audit records between incoming and outgoing partners and find that, for companies that successfully improve audit opinions after partner switching, incoming partners have a significantly higher propensity to issue clean opinions than their outgoing counterparts.     

Bayesian Premium Rating with Latent Structure

We propose a fully Bayesian approach to non-life risk premium rating, based on hierarchical models with latent variables for both claim frequency and claim size. Inference is based on the joint posterior distribution and is performed by Markov Chain Monte Carlo. Rather than plug-in point estimates of all unknown parameters, we take into account all sources of uncertainty simultaneously when the model is used to predict claims and estimate risk premiums. Several models are fitted to both a simulated dataset and a small portfolio regarding theft from cars. We show that interaction among latent variables can improve predictions significantly. We also investigate when interaction is not necessary. We compare our results with those obtained under a standard generalized linear model and show through numerical simulation that geographically located and spatially interacting latent variables can successfully compensate for missing covariates. However, when applied to the real portfolio data, the proposed models are not better than standard models due to the lack of spatial structure in the data.