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首页> 外文期刊>International Journal of Computational Science and Engineering >Formation path of customer engagement in virtual brand community based on back propagation neural network algorithm
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Formation path of customer engagement in virtual brand community based on back propagation neural network algorithm

机译:基于反向传播神经网络算法的虚拟品牌社区客户参与的形成路径

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摘要

The formation path of customer engagement in a virtual brand community (VBC) with customer engagement, which explores the customers' non-transactional behaviours, has become increasingly popular in the marketing field. In this study, we introduced an approach that integrates structural equation modelling and back propagation artificial neural network to identify the motivating factors (e.g., interactivity, information quality, and convenience) that influence the perceived information and social values of a VBC and customer engagement. The results show that when perceived value plays a mediating role in the influence of interactivity and information quality on customer engagement, interactivity is associated positively with customer engagement in the VBC. This study aims to provide meaningful insights into companies' utilisation of brand fan pages.
机译:客户参与虚拟品牌社区(VBC)的形成路径,探讨了客户的非事务行为,越来越受营销领域的流行。 在这项研究中,我们介绍了一种实现结构方程建模和后传播人工神经网络的方法,以确定影响VBC和客户参与的感知信息和社会价值的激励因素(例如,交互,信息质量和便利性。 结果表明,当感知价值在互信和信息质量的影响下发挥着调解作用,互动与VBC的客户接触有关。 本研究旨在为公司利用品牌粉丝页面提供有意义的见解。

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