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How Does‘Traffic'Turns into‘Retention'?The Path of Sport Events Impacting Consumption Willingness
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作者 GUO Quanen LIU Songying +1 位作者 KANGIN Helena Cationa ZHANG Fan 《Journal of Resources and Ecology》 2025年第5期1294-1305,共12页
Fostering a dynamic sports culture relies heavily on sporting events and community engagement.In the pursuit of a robust sports culture,organizing sports events and encouraging public involvement are of utmost signifi... Fostering a dynamic sports culture relies heavily on sporting events and community engagement.In the pursuit of a robust sports culture,organizing sports events and encouraging public involvement are of utmost significance.A deep comprehension of understanding how sports events shape consumer interest holds both theoretical and practical value.This study focuses on the audience of the 2022 Beijing Winter Olympics,considering both from online and offine.Through meticulously constructing a comprehensive framework that encompasses spectator experience,demonstration effect,and media influence,and collecting 679 valid surveys nationwide,it adopts the partial least squares method-structural equation model(PLS-SEM)for in-depth analysis.The study finds that the‘traffic'generated by sports events directly influences consumers'purchase intentions in three ways:spectator experience,demonstration effect,and media influence.Among these,the demonstration effect has the most significant impact,and perceived value plays a partial mediating role.Based on the findings,several practical recommendations are proposed to further unlock the cultural and economic value of large-scale sporting events.This study not only provides empirical support for understanding the mechanisms through which mega-events stimulate consumer behavior but also offers strategic insights into enhancing the social influence and commercial value of sports in the digital era. 展开更多
关键词 sports events consumption intention event traffic Beijing Winter Olympic
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Mining Intention-Related Products on Online Q&A Community 被引量:2
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作者 段俊文 陈毅恒 +1 位作者 刘挺 丁效 《Journal of Computer Science & Technology》 SCIE EI CSCD 2015年第5期1054-1062,共9页
User generated content on social media has attracted much attention from service/product providers, as it contains plenty of potential commercial opportunities. However, previous work mainly focuses on user consumptio... User generated content on social media has attracted much attention from service/product providers, as it contains plenty of potential commercial opportunities. However, previous work mainly focuses on user consumption intention (CI) identification, and little effort has been spent to mine intention-related products. In this paper, focusing on the Baby &Child Care domain, we propose a novel approach to mine intention-related products on online question and answer (Q&A) community. Making use of the question-answering pairs as data source, we first automatically extract candidate products based on dependency parser. And then by means of the collocation extraction model, we identify the real intention-related products from the candidate set. The experimental results on our carefully constructed evaluation dataset show that our approach achieves better performance than two natural baseline methods. 展开更多
关键词 consumption intention product extraction Q&A community
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