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Empirical analysis of the intelligent influence factors of social network services effectiveness in e-commerce based on human learning behaviors

机译:基于人类学习行为的电子商务社交网络服务有效性智能影响因素的实证分析

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摘要

>Background: It is crucial for companies to understanding users’ choices and learning behaviors, and the corresponding influencing factors and cognitive patterns regarding social network services to communicate with potential customers.>Methods: In this study, a casual structural model was constructed and developed to model and characterize the relationships between problems to be resolved as antecedent variables and success factors as consequent variables with the intermediary variables based on human learning behaviors, whereas the concept of social network service was introduced to summarize the current issues of social network services and empirically factors affecting effectiveness of social network services.>Discussion: This study highlighted the corporate need to examine the intelligent role and learning effectiveness of social network services when studying social creativity and intelligence in a social networking environment. Firstly, the framework and hypotheses of social network services were introduced to summarize the current issues of social network services and the main influencing factors affecting the working patterns of social network services. Subsequently, the empirically established model was further tested to explore the possible meaningful relationships among those variables used.>Results: The study revealed that the social network services provider and the customer should improve their social creativity and community collaboration; these could be expanded and enhanced by increasing the social intelligence to raise the social network services’ effect and the customer’s externalization. Furthermore, social intelligence, community collaboration, and customer externalization were factors significantly influencing customers’ social creativity, while the customer externalization and community collaboration were the two important factors affecting social intelligence.>Conclusion: The study implied that social network services providers should provide more and more intelligent and inspiring services for their customers.
机译:>背景:对于公司来说,了解用户的选择和学习行为以及与社交网络服务相关的影响因素和认知模式以与潜在客户进行沟通的重要性至关重要。>方法:在这项研究中,构建并开发了一个随意的结构模型,以基于人类学习行为的中介变量来建模和表征要解决的问题之间的关系,将其作为先验变量和成功因子作为结果变量,而社交网络服务的概念是介绍以概述当前的社交网络服务问题以及影响社交网络服务有效性的经验因素。>讨论:该研究强调了企业在研究社交网络时需要研究社交网络服务的智能作用和学习有效性社交网络环境中的创造力和智慧。首先,介绍了社交网络服务的框架和假设,总结了社交网络服务的当前问题以及影响社交网络服务工作模式的主要影响因素。随后,对建立的经验模型进行了进一步的测试,以探讨所使用的变量之间可能存在的有意义的关系。可以通过增加社交情报来提高和增强这些功能,以提高社交网络服务的效果和客户的外部性。此外,社交智能,社区协作和客户外部化是影响客户社交创造力的重要因素,而客户外部化和社区协作是影响社交智能的两个重要因素。>结论:研究表明,社交网络服务提供商应为其客户提供越来越多的智能和启发性服务。

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