Dimensions of Consumer's Perceived Risk in Online Shopping

Perceived risk is an important concept in consumer behavior in online shopping. It impedes the adopting online shopping. A structure model with seven factors of consumer's perceived risk in online shopping is developed in this paper. The results have the descriptive power about Chinese consumers' perceived risk in Internet shopping and provide framework for managerial use in China's e-commerce market environment.

Consumer Risk Perceptions in Mobile Health Services Adoption: Do They Matter?

The purpose of this study is to investigate empirically the role of consumer perceived risks in the adoption of mobile health services. A theoretical model including the perceived risk associated with the activity targeted by a mobile health service and the perceived risk associated with the mobile service itself was developed and tested empirically in the context of an application supporting smoking cessation. The model was validated in a cross-sectional experiment conducted with 422 consumers in the UK and Canada. Findings show that while risk triggered by the nature of a health promotion activity is a strong driver of the adoption of the supporting mobile health service, risk related to the actual application targeting that activity is a comparatively weaker obstacle. The two contrasting risk perspectives are highly significant as they together explain over 31% of the variance in consumer intention to use the mobile health service, independently from other adoption factors. Overall, this study demonstrates that consumer risk perceptions alone are a multifaceted and meaningful component in mobile health services adoption, and that this element should not be overlooked in more complex research models.

二项分布Bayes鉴定试验次数的选择与分析

讨论了二项分布的可靠性Bayes鉴定试验方案问题。在试验样本量一定的条件下,充分利用验前信息弥补现场试验信息的不足,从平均后验风险角度制定了成败型系统可靠性鉴定试验的Bayes方案。密切结合工程试验,从生产和使用双方的实际风险的角度,研究分析了Bayes可靠性鉴定试验与评估的联系与差异。最后,与传统的鉴定试验方案进行了分析比较,明确了Bayes方法的使用范围,对于工程试验方案的选择具有实际的指导意义。

消费者使用第三方支付感知风险的影响因素与对策建议——基于解释结构模型(ISM)的实证分析

第三方支付的创新发展,积极调动了"长尾"消费者的投资热情,导致消费者金融服务需求膨胀和风险预警矛盾日益严重。运用德尔菲法对消费者使用第三方支付感知风险因素进行识别和筛选,并通过解释结构模型(ISM),进一步分解出其影响因素之间的结构性分布及其逻辑关联。实证结果表明:消费者信任是表层因素,接受深层次因素传导作用;第三方支付机构提供安全技术操作等诸因素是中间层因素;消费者个体特征和互联网环境是深层次因素。为了降低感知风险,必须全方位、多渠道地优化网络环境、健全第三方支付企业安全管理体系和强化消费者权益保护。

基于Bayesian理论的测试性验证试验方案

为了降低测试性验证试验的不确定性风险损失,提出了基于Bayesian理论的测试性验证试验方案。该方案综合考虑了故障注入成本以及弃真和采伪两类风险损失,建立了基于风险损失的试验方案模型。根据Bayesian理论,结合验前信息推导出试验最小样本和最大合格判定数的计算公式,并给出基于Bayesian平均风险准则的弃真和采伪两类风险参数的求解方法。在此基础上,按照试验期望风险损失最小的原则求解试验方案模型。结果表明,该方案能有效降低试验两类风险损失。

Acceptance Sampling Plans with Truncated Life Tests for the Length-Biased Weighted Lomax Distribution

In this paper,we considered the Length-biased weighted Lomax distribution and constructed new acceptance sampling plans(ASPs)where the life test is assumed to be truncated at a pre-assigned time.For the new suggested ASPs,the tables of the minimum samples sizes needed to assert a specific mean life of the test units are obtained.In addition,the values of the corresponding operating characteristic function and the associated producer’s risks are calculated.Analyses of two real data sets are presented to investigate the applicability of the proposed acceptance sampling plans;one data set contains the first failure of 20 small electric carts,and the other data set contains the failure times of the air conditioning system of an airplane.Comparisons are made between the proposed acceptance sampling plans and some existing acceptance sampling plans considered in this study based on the minimum sample sizes.It is observed that the samples sizes based on the proposed acceptance sampling plans are less than their competitors considered in this study.The suggested acceptance sampling plans are recommended for practitioners in the field.

Improved Attribute Chain Sampling Plan for Darna Distribution

Recently,the Darna distribution has been introduced as a new lifetime distribution.The two-parameter Darna distribution represents is a mixture of two well-known gamma and exponential distributions.A manufacturer or an engineer of products conducts life testing to examine whether the quality level of products meets the customer’s requirements,such as reliability or the minimum lifetime.In this article,an attribute modified chain sampling inspection plan based on the time truncated life test is proposed for items whose lifetime follows the Darna distribution.The plan parameters,including the sample size,the acceptance number,and the past lot result of the proposed sampling plan,are determined with the help of the two-point approach considering the acceptable quality level(AQL)and the limiting quality level(LQL).The plan parameters and the corresponding operating characteristic functions of a new plan are provided in tabular form for various Darna distribution parameters.Also,a few illustrated examples are presented for various distribution parameters.The usefulness of the proposed attribute modified chain sampling plan is investigated using two real failure time datasets.The results indicate that the proposed sampling plan can reduce the sample size when the termination ratio increases for fixed values of the producer’s risk and acceptance number.Hence,the proposed attribute modified chain sampling inspection plan is recommended to practitioners in the field.

Designing Bayesian New Group Chain Sampling Plan For Quality Regions

Acceptance sampling is a well-established statistical technique in quality assurance.Acceptance sampling is used to decide,acceptance or rejection of a lot based on the inspection of its random sample.Experts concur that the Bayesian approach is the best approach to make a correct decision,when historical knowledge is available.This paper suggests a Bayesian new group chain sampling plan(BNGChSP)to estimate average probability of acceptance.Binomial distribution function is used to differentiate between defective and non-defective products.Beta distribution is considered as a suitable prior distribution.Derivation is completed for the estimation of the average proportion of defectives.This study includes four quality regions namely:(i)probabilistic quality region(PQR),(ii)quality decision region(QDR),(iii)limiting quality region(LQR),and(iv)indifference quality region(IQR).The estimated values for the BNGChSPare tabulated and the inflection point values are derived,based on different combinations of design parameters including both consumer’s and producer’s risks.For comparison with the existing plan,the operating characteristic curves expose that BNGChSP is a better substitute for industrial practitioners.

Designing Bayesian Two-Sided Group Chain Sampling Plan for Gamma Prior Distribution

Acceptance sampling is used to decide either the whole lot will be accepted or rejected,based on inspection of randomly sampled items from the same lot.As an alternative to traditional sampling plans,it is possible to use Baye-sian approaches using previous knowledge on process variation.This study pre-sents a Bayesian two-sided group chain sampling plan(BTSGChSP)by using various combinations of design parameters.In BTSGChSP,inspection is based on preceding as well as succeeding lots.Poisson function is used to derive the probability of lot acceptance based on defective and non-defective products.Gamma distribution is considered as a suitable prior for Poisson distribution.Four quality regions are found,namely:(i)quality decision region(QDR),(ii)probabil-istic quality region(PQR),(iii)limiting quality region(LQR)and(iv)indifference quality region(IQR).Producer’s risk and consumer’s risk are considered to esti-mate the quality regions,where acceptable quality level(AQL)is associated with producer’s risk and limiting quality level(LQL)is associated with consumer’s risk.Moreover,AQL and LQL are used in the selection of design parameters for BTSGChSP.The values based on all possible combinations of design parameters for BTSGChSP are presented and inflection points’values are found.Thefinding exposes that BTSGChSP is a better substitute for the existing plan for industrial practitioners.

服务机器人属性对消费者实现型幸福感的影响研究

当今,机器人越来越多地出现于商业场所,服务中的人际交互转变为人机交互,是否同样能给消费者带来幸福感呢?基于自我决定理论,本文探讨服务机器人属性对消费者实现型幸福感的影响。通过对255份问卷样本数据进行实证分析,结果发现:服务机器人属性对消费者实现型幸福感有显著正向影响;自我控制在服务机器人属性和实现型幸福感间起中介作用;消费者的社交焦虑正向调节服务机器人属性与实现型幸福感的关系,并且加强了自我控制在服务机器人属性与实现型幸福感之间的中介作用;感知隐私风险负向调节了服务机器人属性与实现型幸福感的关系,并且削弱了自我控制在服务机器人属性与实现型幸福感之间的中介作用。

电商直播中消费者冲动性购买意愿的影响研究——基于感知风险中介作用与消费者信任调节作用

针对电商直播中消费者冲动购买愈发普遍的现象,探讨电商主播作为直播间信息源对消费者冲动性购买意愿的实质影响,文章从感知风险视角出发,构建电商主播特征与消费者冲动性购买意愿理论模型,并分析消费者信任在电商主播特征与感知风险之间的调节效应。结果表明:主播专业性、可信性和吸引力负向影响感知风险。感知风险在主播专业性、可信性和吸引力与消费者冲动性购买意愿之间具有中介作用,且消费者信任在主播专业性、可信性与感知风险之间具有正向调节作用。因此,电商直播平台应完善主播考核制度,优化服务内容质量,加强直播监督管理,以降低消费者感知风险,有效激发其购买欲望。

互联网购物环境下的消费者感知风险维度

采用访谈法和问卷法,运用结构方程模型,识别了互联网购物环境下感知风险的维度,分析了感知风险各维度对总体风险的贡献率,开发了针对中国本土消费者的网上购物感知风险维度量表.结果表明:经济风险、功能风险、社会风险、时间风险、身体风险、心理风险,这些传统购物环境下存在的风险,消费者网上购物时仍然能感知到.隐私风险和服务风险是网上购物不同于传统购物的风险维度.8个风险维度对网上购物总体风险的解释量为72.61%.

重大灾害情境下感知风险对消费者信心的影响研究

以汶川地震的调研数据为基础,构建了重大灾害情境下的感知风险与消费者信心关系的理论模型。分析发现消费者信心各维度之间蕴含的相互关联,即重建和房地产发展信心对经济发展信心起显著正向影响,经济发展信心对生活质量信心具有正向影响。同时,发现地震感知风险对消费者信心、对经济发展信心具有直接负向影响,对重建和房地产发展信心没有产生显著影响,对生活质量信心的负向影响是通过经济发展信心间接实现的。

网络消费者感知价值影响因素的实证研究

本文立足网络消费者感知价值这一研究主题,构建了一个网络消费者感知价值的影响因素模型,尝试探讨感知产品质量、感知网站服务质量、购买成本以及感知风险四大因素对消费者感知价值的影响。通过对网购服装鞋帽类产品的消费者进行问卷调查并对回收问卷进行统计分析,结果显示,感知产品质量、感知网站服务质量以及购买成本对网络消费者感知价值具有正向影响,感知风险对感知价值具有负向影响。

消费者产品知识和信息推荐代理对品牌忠诚度的影响研究

互联网的发展为消费决策提供了大量的信息内容和便捷的信息搜寻方式,一方面促使消费者形成丰富的产品知识,另一方面催生了帮助消费者在冗杂的产品信息中进行决策的信息推荐代理。本文探讨了消费者自身产品知识和外部信息推荐代理对品牌忠诚度的影响。选择母婴产品市场作为研究对象,通过对1831位婴幼儿母亲的调查,本研究发现消费者知识和产品感知风险大小对品牌忠诚度存在交互影响,对于低感知风险的产品,消费者知识正向影响品牌忠诚度,对于高感知风险的产品,消费者知识对品牌忠诚度的影响呈U形,同时信息搜寻倾向中介了消费者知识和品牌忠诚度之间的关系。信息推荐代理的情感信任价值正向影响品牌忠诚度且受到产品感知风险大小的调节作用,而信息推荐代理的功能价值对品牌忠诚度不存在影响。

基于感知价值的消费者线上线下购买渠道选择研究

基于经典的消费者感知价值二维均衡理论,融合消费者类型、产品类型、体验价值等多维度因素,构建用于预测消费者渠道决策的数理模型。随后依据理论模型设计并发放818份问卷,研究表明,成本和体验是影响渠道决策的重要因素,同时验证了量化模型预测消费者渠道行为的可行性。

消费者风险感知、营销努力与复合渠道协调研究

在考虑营销努力的作用下,引入消费者对网上营销渠道的风险感知,研究风险感知对均衡结果的影响以及复合渠道协调问题。研究表明:制造商的利润和系统利润随着消费者网上购物风险感知程度的增强而减小;制造商对复合渠道进行协调时,整个渠道的绩效将得到提高,是对未协调复合渠道的帕累托改进。

基于TAM模型和感知风险的消费者网上购买行为研究

TAM模型已经成为最有影响的接受信息系统的研究模型之一,曾得到多种理论和模型的支持,并在不同背景下被普遍应用。感知风险是从心理学领域引入营销学领域的一个概念,用于解释消费者购买行为。本研究将在TAM模型框架下增加感知风险这一变量,以揭示消费者的网上购买行为。

感知风险与消费者跨境网购意愿——有中介的调节模型

近年来,消费者跨境网购行为日益受到理论界和企业界的关注,其内在作用机制有待进一步的实证研究。鉴于此,对中国跨境网购用户进行问卷调查,最终基于603份有效样本数据,运用Amos和Spss对感知风险、消费者信任、异国文化认同以及跨境网购意愿之间的关系进行实证分析。研究结果发现:感知风险对跨境网购意愿有显著的负向作用;消费者信任在感知风险与跨境网购意愿的关系间起到部分中介作用;异国文化认同在感知风险与跨境网购意愿的关系间起到有中介的调节作用。

消费者危机感知风险对在线评论效果的影响

突发公共事件中在线评论的效果受到消费者对危机风险的感知程度的影响突显.构建消费者危机感知风险情景下的在线评论内容对消费者购买决策的影响模型,运用多元回归分析模型和Bootstrap分析进行验证,探讨评论长度、评论丰富度、评论回复等在线评论内容对消费者购买的影响,同时考虑评论有用性的中介作用以及外在感知风险和内在感知风险的调节作用.结果表明:评论有用性有中介作用,外在感知风险起正向调节作用,内在感知风险起负向调节作用,且外在感知风险对消费者购买的影响更大.突发公共事件会放大在线评论对消费者在线购买的影响,电商应加强在线交易服务和对在线评论的监管,降低消费者在线购物感知风险,促进电子商务稳定有序持续发展.