质量期望因素影响电子顾客满意度:来自南非网上购物的证据

Tariro Shumba, Danie Ferreira
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引用次数: 0

摘要

受新冠肺炎疫情影响,网络购物需求增加,网络购物规模稳步增长。然而,只有约1.4%的在线流量最终在网上购买,这导致需要了解驱动在线购物客户满意度和购买意愿的因素。在评估电子消费者满意度时,必须考虑消费者的质量期望。本研究的目的是建立质量期望变量影响电子客户满意度在南非。研究建立了三个质量期望变量与电子顾客满意度的模型。该研究使用了237名受访者的非概率样本。使用定量方法收集结构化数据并对其进行定量分析。使用的测量工具是在线调查。通过探索性因子分析对问卷中的项目进行验证,然后对每个有效构念计算Cronbach 's alpha值,以确认项目间信度。多元回归检验用于确定自变量和因变量之间的关系。结果表明,在三个质量期望因素中,只有购物体验期望对电子顾客满意度有显著影响。服务便利性期望和产品提供期望与电子客户满意度的关联不显著。因此,这项研究确定了网上商店需要通过超越顾客对优质购物体验的期望来提高电子顾客的满意度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quality Expectation Factors Influencing E-customer Satisfaction: Evidence from Online Shopping in South Africa
The Covid-19 pandemic brought about an increased need for online shopping, and a steady increase in online shopping was recorded. However, only about 1.4% of online traffic eventually buys online, which leads to a need to gain knowledge of the factors which drive online shopping customer satisfaction and purchasing intention. It is imperative to consider consumer quality expectations when evaluating e-consumer satisfaction. The aim of this study establishes which quality expectation variables influence e-customer satisfaction in South Africa. The study models three quality expectation variables and e-customer satisfaction. The study uses non-probability samples of 237 respondents. A quantitative approach is used in which structured data is gathered and quantitatively analyzed. The measuring instrument used is an online survey. The items in the questionnaire are validated by conducting Exploratory Factor Analysis and subsequently Cronbach’s alpha values are calculated for each of the valid constructs to confirm inter-item reliability. Multiple Regression tests are used to determine the relationship between the independent and dependent variables. The results indicate that of the three quality expectation factors, only shopping experience expectations have a significant influence on e-customer satisfaction. Service convenience expectations and product offerings expectations are recording insignificant associations with e-customer satisfaction. The study is therefore identifying the need for online shops to augment e-customer satisfaction through exceeding customers’ quality shopping experience expectations.
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