Honglong Wang , Guoxin Li , Xiaodong Xie , Shaohui Wu
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引用次数: 0
Abstract
The popularity of live streaming is driving the emergence of a new business model, known as live streaming commerce (LSC). The live chat service serves as a key indicator of viewer engagement in LSC shows, differentiating LSC significantly from traditional e-commerce. In this paper, we collect a rich live streaming dataset and identify two categories of social interactions behind live chat: transaction-oriented and relationship-oriented. Broadcasters and viewers in the transaction-oriented category focus on products and transactions and tend to communicate with non-emotional words in live chats. In contrast, broadcasters and viewers might treat each other as friends and are more likely to post emotional words in the relationship-oriented category. Our econometric model shows a curvilinear association between relationship-oriented social interactions and viewer purchase behaviors. The empirical analysis indicates that to achieve higher sales, LSC broadcasters should make relationship-oriented social interactions in live chat account for 58.64% of the probabilities. We discuss the implications of heterogeneous social interaction strategies across different broadcasters.
期刊介绍:
Electronic Commerce Research and Applications aims to create and disseminate enduring knowledge for the fast-changing e-commerce environment. A major dilemma in e-commerce research is how to achieve a balance between the currency and the life span of knowledge.
Electronic Commerce Research and Applications will contribute to the establishment of a research community to create the knowledge, technology, theory, and applications for the development of electronic commerce. This is targeted at the intersection of technological potential and business aims.