Abstract
Live streaming commerce, which has led to the emergence of new forms of social commerce called live streaming, has already improved the performance of many social commerce streamers. Live streaming commerce is an emerging business model that has blended the functions of e-commerce and live webcasting. The total sales volume will increase when the streamers and the customers communicate in the real-time interaction platform. In live streaming commerce, customer engagement behavior has been beneficial for realizing the value of live streaming commerce, which scholars have studied and valued. However, internal and external factors often affect customer engagement behavior, and most of the existing research focuses on only one aspect. This article will analyze internal and external influencing factors (internal influencing factors are based on self-efficacy theory, and external influencing factors are based on value-based adoption models) and their interactions to get a broad conclusion. To understand customer engagement behavior in the live streaming commerce with comprehensive research, the article constructs a customer engagement model in the live streaming commerce environment and uses structural equations for empirical testing. In applying self-efficacy theory, it is committed to distinguishing the functional logic between general self-efficacy and special self-efficacy and understanding the mechanism of special self-efficacy, namely, the influence mechanism of live streaming self-efficacy on perceived value and customer engagement in specific situations. The research results show that general self-efficacy positively influences perceived usefulness, perceived entertainment, and live streaming commerce self-efficacy, while perceived usefulness, perceived entertainment, and live streaming commerce self-efficacy positively affect perceived value, live streaming commerce self-efficacy, and self-efficacy. Perceived value has a positive and significant impact on customer engagement behavior. This research explains the influencing factors and mechanism of customer engagement in the live streaming commerce environment from the internal and external perspectives, enriches the theoretical research on customer engagement, and provides practical guidance for customer engagement behavior in the live streaming commerce environment.
Highlights
In the era of e-commerce, products can only be explained through text and images provided by the seller
When we performed the KMO test and the Bartlett sphere test, the results showed that the overall KMO value of the scale was 0.941, and the Bartlett sphere test result was significant, indicating that it is suitable for factor analysis. e maximum variance method was used for principal component analysis, and all observed variables were subjected to exploratory factor analysis (EFA). e results showed that six factors with eigenvalues greater than 1 were extracted, and the cumulative variance explanation rate was 68.598%
Based on reviewing and analyzing the current research results, this article establishes a theoretical model based on Value-based Adoption Model (VAM) and self-efficacy for customer engagement in live commerce
Summary
In the era of e-commerce, products can only be explained through text and images provided by the seller. Is article will consider internal and external factors to study customer engagement behavior in the live streaming commerce environment. E main contributions of the research are as follows: firstly, it validates the applicability of the value-based adoption model proposed by Kim (2007) in explaining the customer engagement in the live streaming commerce environment; secondly, it draws on the study of customer engagement in the e-commerce and social business environment achievements to correct the shortcomings of single perspective research, integrate the use of valuebased adoption models and self-efficacy theories, and study the influence mechanism of customer participation from both the internal characteristics of customers and the external environment; thirdly, it examines the nature of selfefficacy and divides it into two constructs, general self-efficacy and live streaming commerce self-efficacy, to study the impact of self-efficacy in different situations on perceived value and customer engagement behavior; fourthly, the theory of customer engagement is enriched in the live streaming commerce environment Is article will consider internal and external factors to study customer engagement behavior in the live streaming commerce environment. e main contributions of the research are as follows: firstly, it validates the applicability of the value-based adoption model proposed by Kim (2007) in explaining the customer engagement in the live streaming commerce environment; secondly, it draws on the study of customer engagement in the e-commerce and social business environment achievements to correct the shortcomings of single perspective research, integrate the use of valuebased adoption models and self-efficacy theories, and study the influence mechanism of customer participation from both the internal characteristics of customers and the external environment; thirdly, it examines the nature of selfefficacy and divides it into two constructs, general self-efficacy and live streaming commerce self-efficacy, to study the impact of self-efficacy in different situations on perceived value and customer engagement behavior; fourthly, the theory of customer engagement is enriched in the live streaming commerce environment
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