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Understanding Customer Experience Diffusion on Social Networking Services by Big Data Analytics

机译:通过大数据分析了解社交网络服务上的客户体验扩散

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摘要

Social networking services (e.g., Facebook and Twitter) are playing a significant role of interacting with customers. In particular, most of businesses are trying to exploit such social networking services for more profit, since it has dramatically become an information carrier for customers who are disseminating latest information about products and services. Thus, this study examines how information shared by companies is distributed and what the important factors in understanding information dissemination are. More importantly, this study classifies the types of tweets posted by a company and then to investigate the effect of these types of tweets on diffusion. By using content analysis, this study defined three types, which are i) information provision (IF), ii) advertisement (AD), and iii) both (IFAD), with 8 specific concepts. These results indicate that the differences are significant for all three types of information content. It shows that companies can spread information more quickly by providing the IFAD type rather than the AD type.
机译:社交网络服务(例如Facebook和Twitter)在与客户互动方面发挥着重要作用。特别是,大多数企业正试图利用此类社交网络服务以获取更多利润,因为它已大大地成为了散布有关产品和服务的最新信息的客户的信息载体。因此,本研究探讨了公司共享的信息如何分布以及理解信息传播的重要因素是什么。更重要的是,本研究对公司发布的推文类型进行了分类,然后研究了这些类型的推文对传播的影响。通过使用内容分析,本研究定义了三种类型,即i)信息提供(IF),ii)广告(AD)和iii)两种(IFAD),其中包含8种具体概念。这些结果表明,差异对于所有三种类型的信息内容都是显着的。它表明,通过提供IFAD类型而不是AD类型,公司可以更快地传播信息。

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