论文标题
了解中介机构在在线社会电子商务中的作用:Beidian的探索性研究
Understanding the Role of Intermediaries in Online Social E-commerce: An Exploratory Study of Beidian
论文作者
论文摘要
社会电子商务是基于社会计算的营销平台的一种新形式,它利用现有的现实世界社交关系来促销和销售产品。近年来,它一直在迅速增长,并吸引了中国数千万用户。在这些平台上实现市场交易的主要参与者是中介机构,他们通过与消费者共享信息并将产品推荐给其现实世界中的社交联系人,将生产者与消费者联系起来。尽管它们的作用至关重要,但这些中介机构在这些社会电子商务平台上的性质和行为尚未系统地分析。在这里,我们通过一项混合方法研究来解决此知识差距。利用大约4000万用户在Beidian的全面行为(中国最大的社会电子商务网站之一),以及在线论坛和访谈中的定性证据,我们研究了中介机构的特征,确定其行为模式并揭示了使中介成功的策略和机制。我们证明了社会电子商务网站上的中介机构充当当地趋势探测器和“社会杂货店”。此外,每当畅销书出现并扩大促销物品时,成功的中介机构是高度敬业的。据我们所知,本文对中介机构在社会电子商务平台中的新兴作用进行了首次大规模分析,该平台为社交计算营销平台的设计和管理提供了潜在的见解。
Social e-commerce, as a new form of social computing based marketing platforms, utilizes existing real-world social relationships for promotions and sales of products. It has been growing rapidly in recent years and attracted tens of millions of users in China. A key group of actors who enable market transactions on these platforms are intermediaries who connect producers with consumers by sharing information with and recommending products to their real-world social contacts. Despite their crucial role, the nature and behavior of these intermediaries on these social e-commerce platforms has not been systematically analyzed. Here we address this knowledge gap through a mixed method study. Leveraging 9 months' all-round behavior of about 40 million users on Beidian -- one of the largest social e-commerce sites in China, alongside with qualitative evidence from online forums and interviews, we examine characteristics of intermediaries, identify their behavioral patterns and uncover strategies and mechanisms that make successful intermediaries. We demonstrate that intermediaries on social e-commerce sites act as local trend detectors and "social grocers". Furthermore, successful intermediaries are highly dedicated whenever best sellers appear and broaden items for promotion. To the best of our knowledge, this paper presents the first large-scale analysis on the emerging role of intermediaries in social e-commerce platforms, which provides potential insights for the design and management of social computing marketing platforms.