Formation path of customer engagement in virtual brand community based on back propagation neural network algorithm

被引:9
|
作者
Song, Mengmeng [1 ]
Qiao, Lin [1 ]
Law, Rob [2 ]
机构
[1] Hainan Univ, Coll Tourism, Haikou 570100, Hainan, Peoples R China
[2] Hong Kong Polytech Univ, Sch Hotel & Tourism Management, Hong Kong, Peoples R China
关键词
neural network algorithm; virtual brand community; VBC; brand fan page; perceived value; CONSUMER ENGAGEMENT; SCALE DEVELOPMENT; IMPACT; LOYALTY; INFORMATION; INTENTION; SITES;
D O I
10.1504/IJCSE.2020.109405
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
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.
引用
收藏
页码:454 / 465
页数:12
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