文献类型：期刊文献

英文题名：Live streaming economy and green consumer behavior of farming products: A psycholinguistic forecasting by using social computation

作者：Huo, Da[1];Zhang, Xiaotao[1];Qiao, Li[2];Tang, Aidi[1];Wang, Yunhan[3]

第一作者：Huo, Da

通讯作者：Qiao, L[1]

机构：[1]Cent Univ Finance & Econ, Sch Int Trade & Econ, 39 South Coll Rd, Beijing 100081, Peoples R China;[2]Beijing Union Univ, Business Coll, 3 Yanjing Dongli, Beijing 100025, Peoples R China;[3]Cent Univ Finance & Econ, Sch Management Sci & Engn, 39 South Coll Rd, Beijing 100081, Peoples R China

第一机构：Cent Univ Finance & Econ, Sch Int Trade & Econ, 39 South Coll Rd, Beijing 100081, Peoples R China

通讯机构：[1]corresponding author), Beijing Union Univ, Business Coll, 3 Yanjing Dongli, Beijing 100025, Peoples R China.|[1141721]北京联合大学商务学院;[11417]北京联合大学;

年份：2024

卷号：205

外文期刊名：TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE

收录：;EI(收录号：20242416254799);Scopus(收录号：2-s2.0-85195683090);WOS:【SSCI(收录号:WOS:001255678500001)】；

基金：This research is supported by National Social Science Foundation of China General Project (20BJL055) , and the authors have contributed equally to work.

语种：英文

外文关键词：Live streaming economy; Psycholinguistics; Green behavior; Farming products; Social computation

摘要：From the perspective of psycholinguistics, live -streaming programs not only facilitate the accessibility of farming products for online consumers but also exert a social influence on psychological behavior. This study delves into the green behavior of online consumers regarding farming products, specifically targeting those interested in participating in live -streaming programs. By leveraging demographic information and consumer preferences, this study sheds light on online consumers' green behavior through extensive surveys. Cluster analysis is also employed to distinguish the categories of online consumer behavior and identify the underlying motivations of consumers within social networks. The probability of consumer clusters engaging with various categories of online green consumption is further examined through a Bayesian model. Additionally, the externality effect of social networks on online consumers' green behavior based on the live streaming economy is further simulated by the SIR model. Drawing on insights from psycholinguistics within the domain of live -streaming big data, this research provides profound insights for global managers aiming to gain a deeper comprehension of online consumers' green behavior within live -streaming programs showcasing farming products. Moreover, it offers critical support for the digital marketing of these farming products in the era of digital transformation.