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信息混乱作为社交商务平台消费者转换意愿的驱动因素:一种多方法定量研究

Information confusion as a driver of consumer switching intention on social commerce platforms: a multi-method quantitative approach

Information Technology and People · 2023
被引 26
ABS 3

中文导读

基于趋避动机理论,研究了信息混乱如何通过情绪耗竭影响消费者在社交商务平台上的转换意愿,并发现社会过载会强化这一效应。

Abstract

Purpose On the basis of the approach-avoidance motivation theory, this study aims to examine the role of information confusion in influencing consumer switching intention among social commerce platforms, with the mediating effect of emotional exhaustion and the moderating role of social overload. Design/methodology/approach This study applied a multi-method quantitative approach including a survey and two experiments. Data were obtained from consumers on popular social commerce platforms in China. The survey's sample size was 327 respondents, whereas a total of 1,621 consumers participated in the two experiments. Findings Findings from the survey reveal that information confusion affects switching intention directly and indirectly via emotional exhaustion. Moreover, social overload moderates the emotional exhaustion–switching intention relationship and the indirect impact of information confusion on switching intention. Results of the two experiments further confirm the relationships found in the survey. Originality/value This study develops and validates a mediation and moderation model which expectedly serves as a framework to better explain consumer switching intention on social commerce platforms. The study also offers fresh insights into consumer switching intention in the unique context of social commerce in an emerging market (i.e. China), which has been largely ignored in the prior literature.

消费者行为社交商务信息过载情绪耗竭社会过载