对在线回购意愿的分析:一种非概率方法来解析其在pims中的前因性

F. Pobee
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引用次数: 0

摘要

本文的目的本研究探讨了匈牙利在线购物者在线回购的决定因素,重点是p录影带。方法采用非概率抽样技术(方便抽样)对psamacs市的网上购物者进行横断面数据收集。数据收集自412名在线购物者。此外,使用SmartPLS -结构方程建模软件来研究假设变量之间的关系。最重要的结果研究结果表明,信息质量、系统质量和服务质量显著影响用户满意度。结果发现,用户满意度对消费者的再购买意愿有显著的影响。研究结果为电子供应商和在线商务网页设计师提供了一些实际意义。系统质量对用户满意度的重要影响意味着电子商务网站设计师应该提供可靠的、用户友好的、快速的响应时间和全天候可用的高质量网站功能。此外,为了确保用户满意和再次购买,电子供应商必须通过实时提供必要的支持,为消费者提供满意的在线体验。在消费者满意的情况下,网上交易产生的争议应该尽快得到解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards online repurchase intention: A non-probabilistic approach to unpack its antecedents in Pécs
THE AIMS OF THE PAPER This research explores the determining factors of online repurchase of online shoppers in Hungary, focusing on Pécs. METHODOLOGY The non-probabilistic sampling technique (convenience sampling) was used to collect cross-sectional data from online shoppers in the city of Pécs. Data was collected from 412 online shoppers. In addition, SmartPLS – Structural equation modeling software was used to investigate the relationships of the hypothesized variables. MOST IMPORTANT RESULTS The research findings suggest that information quality, systems quality, and service quality significantly affect user satisfaction. Consequently, user satisfaction was found to influence consumer repurchase intention significantly. RECOMMENDATIONS The findings present some practical implications for e-vendors and online business web designers. The significant influence of system quality on user satisfaction implies that e-vendors e-commerce web designers should provide quality website features that are reliable, user-friendly, has quick response time, and are available on a 24/7 basis. Also, to ensure user satisfaction and repurchase, e-vendors must give their consumers a satisfying online experience by providing the necessary support in real-time. Disputes from online transactions should be solved as quickly as they arise to the delight of consumers.
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