适度
调解
社会化媒体
独创性
品牌参与度
客户参与度
结构方程建模
心理学
价值(数学)
用户参与度
广告
社会心理学
社会学
业务
计算机科学
万维网
社会科学
机器学习
创造力
作者
Blend Ibrahim,Ahmad Aljarah
出处
期刊:European Journal of Innovation Management
[Emerald (MCB UP)]
日期:2023-01-21
被引量:14
标识
DOI:10.1108/ejim-08-2022-0452
摘要
Purpose This study explores central questions related to the connection between social media marketing activities (SMMAs), user engagement and the self-brand connection of restaurant Instagram pages. The study examines the mediating role of user engagement between SMMAs and self–brand connections. Also, this study explores the connection between SMMAs and user engagement through the moderating role of gender and trust. Design/methodology/approach A convenience sample method was employed to collect data from customers (18–24 years old). A structural equation modeling approach and PROCESS macro were applied based on 298 online questionnaires completed by customers who follow restaurant Instagram pages. The mediating effect for user engagement and the moderating effect for gender and trust were performed. Findings The findings revealed that SMMAs have a significant positive influence on self–brand connection and user engagement. Further, user engagement acts as a mediator between SMMAs and self–brand connection. The results illustrate the importance of SMMAs in enhancing user engagement in light of gender and trust. Practical implications This paper presents significant managerial implications for restaurant businesses about how SMMAs can effectively enhance user engagement behavior and self–brand connection on Instagram pages. Originality/value This research developed a theoretical model to understand how SMMAs might enhance user engagement in the restaurant industry by invoking gender and trust as moderating variables in the relationship between SMMAs and user engagement. This paper offers new theoretical and practical contributions that add value to social media marketing (SMM) literature by testing the moderated–mediation model of these constructs in the hospitality sector.
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