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Attribute Perceptions, Customer Satisfaction and Intention to Recommend E-Services

机译:属性感知,客户满意度和推荐电子服务的意愿

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摘要

Academic research has focused on the quality perceptions that drive customer satisfaction as the key to achieving e-service success. This paper develops a process-based model that relates perceptions of managerially actionable site characteristics to online satisfaction, which mediates the effects of site characteristics on intention to recommend e-services. A unique data set provided by Web Mystery Shoppers International Inc. (webmysteryshoppers.com), a market research supplier, enables the model to be refined using data from samples of responses to each of the competitive websites for one financial service, and then to be tested using similar data for another financial e-service and then for a travel e-service. The model, which accounts for most of the variance in online satisfaction and online intention to recommend in the fitted data, is largely confirmed on cross validation. Process evaluations and satisfaction mediate the effects of actionable website characteristics on intention to recommend e-services.
机译:学术研究集中于将客户满意度视为实现电子服务成功的关键的质量观念。本文开发了一种基于过程的模型,该模型将可管理的站点特征的感知与在线满意度相关联,该介导介导了站点特征对推荐电子服务意图的影响。市场研究供应商Web Mystery Shoppers International Inc.(webmysteryshoppers.com)提供的独特数据集使该模型能够使用对每个竞争性网站针对一个金融服务的响应样本中的数据来进行精炼,然后进行使用类似的数据对另一项金融电子服务进行了测试,然后对旅行电子服务进行了测试。该模型在拟合数据中解释了在线满意度和在线推荐意愿中的大部分差异,该模型在交叉验证中得到了充分证实。流程评估和满意度可调节可操作的网站特征对推荐电子服务的意图的影响。

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