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AMOS-based analysis of factors influencing customer loyalty

机译:基于AMOS的影响因素分析,影响客户忠诚度

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In order to better reduce the cost of e-commerce operations and save resources for marketing promotion, e-commerce merchants must adopt a reasonable and effective way to screen customers and improve the competitiveness of their own products. This paper takes the measurement of latent variable customer loyalty as the starting point, collects data through the design of questionnaires as the research basis, and uses Analysis of Moment Structure (AMOS) to construct structural equation model to conduct a validating factor analysis. It was found that the hypotheses proposed from the three subjects of business, customers themselves and logistics are all basically valid, and all three have a positive impact on loyalty. Ecommerce businesses should improve the service quality of their stores, ensure that their products can meet the needs of most customers, and build a good brand image, and should also carefully choose logistics companies that are reliable and new to customers to cooperate with.
机译:为了更好地降低电子商务运营的成本并节省资源进行营销促销,电子商务商家必须采用合理有效的方式来筛选客户,提高自己产品的竞争力。 本文将潜在可变客户忠诚度的测量作为起点,通过调查问卷设计来收集数据作为研究基础,并使用矩结构(AMOS)的分析来构建结构方程模型进行验证因子分析。 有人发现,从三个商业主题提出的假设,客户自己和物流都是基本上有效的,这三者都对忠诚度产生了积极的影响。 电子商务企业应提高其商店的服务质量,确保其产品可以满足大多数客户的需求,并建立一个良好的品牌形象,也应该仔细选择物流公司,为客户提供可靠和新的公司合作。

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