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李思晗，女，黑龙江哈尔滨人，哈尔滨工程大学经济管理学院准聘副教授，硕士生导师，军事科学院国防科技创新研究院访问学者，西班牙瓦伦西亚理工大学与比利时布鲁塞尔自由大学联合培养博士。研究方向为创新经济学、技术转移、科技政策研究、旅游管理、金融科技、社会网络分析。在《Journal of Travel Reserach》、《Infor...
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影响因子：10.8
发表刊物：JOURNAL OF TRAVEL RESEARCH
关键字：user-generated content; social cognitive theory; spillover effect; Airbnb; spatial Durbin model
摘要：User-generated content (UGC) has been validated as an important factor in travel decisions. However, it is still unclear whether different types of UGC function differently. Social cognitive theory was applied to investigate the different effects of two types of UGC, Story and Review on Airbnb, on attracting travelers through 2,271 accommodations in Beijing from December 2018 to September 2019 via the spatial Durbin model. The results indicate that, first, Story plays a positive direct role on reservation, implying that Story works as a push factor in attracting newcoming travelers to visit story-related accommodations; second, Review works as a pull factor by attracting extant travelers who have investigated nearby accommodations, based on the negative spatial spillover effect; and third, Review works as a moderating factor between Story and reservation. This research extends social cognitive theory to analyze different types of UGC functions in travel decisions.
备注：ABS-4, Q1
论文类型：期刊论文
文献类型：J
卷号：63
期号：2
页面范围：371-387
是否译文：否
发表时间：2024
收录刊物：SSCI
