The Impact of Self-Efficacy and Perceived Value on Customer Engagement under Live Streaming Commerce Environment

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.

The effects of tourism e-commerce live streaming features on consumer purchase intention: The mediating roles of flow experience and trust

“…Meanwhile, the creative pop-up messages posted by the viewers and the hover animation of the live streaming window also increase the entertainment of the e-commerce live streaming (Yu and Xu, 2017). Entertainment in live streaming can significantly influence consumers' flow experience, perceived value, and usage attitude (Chen and Lin, 2018;Cao et al, 2022), and also increase the emotional connection between the streamer and consumers (Hilvert-Bruce et al, 2018). Previous studies showed that entertainment had a significant effect on tourist trust (Pujiastuti et al, 2017), social media brand trust (Zhang et al, 2022), and purchase intention (Ma et al, 2022).…”

A Comprehensive Bibliometric Analysis of Live Streaming Commerce: Mapping the Research Landscape

“…The cluster also highlights price as a significant factor influencing purchasing behavior during live-streaming sessions. Future research should investigate pricing strategies like discounts or coupons to optimize both seller profitability and consumer benefit (Cao et al, 2022). as well as explore the development of an optimal/equilibrium price strategy (L.…”

“…Li & Hua, 2021; Z. Liu et al, 2020); self-efficacy theory (Cao et al, 2022; Gong et al, 2020); social cognitive theory (M. Li & Hua, 2021); information forging theory (X.…”

“…Future research should investigate pricing strategies like discounts or coupons to optimize both seller profitability and consumer benefit (Cao et al, 2022). as well as explore the development of an optimal/equilibrium price strategy (L. .…”

أنماط الشخصیة كمتغیر معدل فى العلاقة بین التسویق بالمحتوى لمنصات المشاهدة الرقمیة و القیمة المدركة للخدمة

“…‫الحا‬ ‫فا‬ ‫ظهر‬ (Woodall, 2003;Khalifa, 2004;Zauner et al, 2015) and Heinonen, 2014;Willems et al, 2016;Gallarza et al, 2017;Roy et al, 2018), ‫رة‬ ‫المدر‬ ‫رة‬ ‫يم‬ ‫ال‬ ‫روم‬ ‫لمفه‬ ‫رة‬ ‫الدينامياي‬ ‫رة‬ ‫الطبيع‬ ‫رد‬ ‫يؤ‬ ‫را‬ ‫مم‬ ، (Woodall, 2003;Sánchez-Fernández and Iniesta-Bonillo, 2007;Maas and Graf, 2008) Sweeney&Soutar,2001 ;Kim et al ,2007 ;Turel et al ,2010 ;Kim et al ,2011;Poyry et al ,2013;Zhao Bingyan, 2020;Cao et al , Sweeney&Soutar,2001 ;Kim et al ,2007 ;Turel et al ,2010 ;Kim et al ,2011;Poyry et al ,2013;Zhao Bingyan, 2020;Cao et al ,…”