Lingli Wang

• Beijing University of Posts and Telecommunications

Livestream selling is an innovative form of online shopping that supports real-time interactions between streamers and consumers. However, a key challenge remains: Streamers have limited capacity to answer individual inquiries, whereas shoppers expect fast, personalized responses. This study investigates whether an AI-powered streaming assistant ca...

Online learners often experience a lack of sustained motivation given the self-paced nature of online learning, resulting in inefficiency and a high dropout rate. It is important to explore options that help users optimize their learning behavior and improve their learning performance. Using a multimethod approach, we show that (a) starting learnin...

Voice‐based artificial intelligence (AI) systems have been recently deployed to replace traditional interactive voice response (IVR) systems in call center customer service. However, there is little evidence that sheds light on how the implementation of AI systems impacts customer behavior, as well as AI systems’ effects on call center customer ser...

Live streaming selling is a technology-enabled business model that profoundly changed the landscape of e-commerce. However, there is limited understanding of how to help streamers improve their sales performance. This study examines whether and how providing real-time sales information can influence sales performance through a large-scale randomize...

Live streaming selling is a transformative e-commerce channel that features real-time interaction between a streamer and a mass audience. However, streamers' service capacities cannot fulfill viewers' needs for social interaction, resulting in a loss of viewer engagement and financial gains. Accordingly, we examine whether the implementation of an...

Live streaming selling is a technology-enabled business model that profoundly changed the landscape of e-commerce. However, there is limited understanding of how to help streamers improve their sales performance. This study examines whether and how providing real-time sales information can influence sales performance through a large-scale randomize...

Purpose The purpose of this study is to examine the strategies used by consumers to control themselves in the Singles’ Day promotion. It also examines how promotion and social influence affect consumers’ purchase behavior and post-purchase evaluation. Design/methodology/approach A mixed methods approach including a quantitative study ( N = 480) an...

Large online promotion activities are different from traditional online marketing activities. Issues about consumer behavior in large online promotion activities deserve further discussion. Via consumer surveys before and after the “Double 11” promotion on Taobao.com, we studied the unplanned consumption and its influencing factors (promotion, time...

Personalized recommendation has important implications in raising online shopping efficiency and increasing product sales. There has been wide interest in finding ways to provide more efficient personalized recommendations. Most existing studies focus on how to improve the accuracy and efficiency of the recommendation algorithms or are more concern...

The influence of user generated content on e-commerce websites and social media has been addressed in both practical and theoretical fields. Since most previous studies focus on either electronic word of mouth (eWOM) from e-commerce websites (EC-eWOM) or social media (SM-eWOM), little is known about the adoption process when consumers are presented...