基于ISM和AHP模型的网络主播受欢迎程度影响因素研究
Based on ISM and AHP model of factors influencing the network anchor popular degree research
为深入研究影响网络主播受欢迎因素及因素之间相互作用关系,从个体、受众、平台、社会四个层面建立网络主播受欢迎程度影响因素指标体系。采用解释结构模型(ISM)分析各因素之间的相互联系,建立3级多层递阶ISM。应用层次分析法(AHP)对解释结构模型中各因素指标的影响力排序,建立指标综合权重体系。结果表明:表层影响因素主要涉及个人因素、受众因素和平台因素三个方面。中层影响因素涉及个人因素、受众因素、平台因素和社会因素这四个方面。深层影响因素集中于个人因素和受众因素。从众心理、自我营销、个人能力、粉丝粘性、外貌特征是主播受欢迎的主要影响因素,为主播自身以及行业合理化发展提出关注受众的心理倾向、增强主播自身核心竞争力等建议。
In order to further study the relationship between the factors and the factors that influence the popularity of the network anchor, the index system of influencing factors of the popularity of the network anchor is established from the aspects of the individual, the audience, the platform and the society. The relationship between various factors was analyzed by using the interpretative structural model (ISM), and the 3 level hierarchical ISM. Application of analytic hierarchy process (AHP) to explain the structural model of the various factors of the order of the impact of the index, the establishment of comprehensive weight index system. The results show that the surface factors are mainly related to three aspects: individual factors, audience factors and platform factors. The influence factors of middle level involve four aspects: individual factor, audience factor, platform factor and social factor. The deep influence factors focus on individual factors and audience factors. Herd mentality, self marketing, personal ability, viscosity, appearance fans are the main factors affecting anchor welcome, to anchor themselves and the industry rational development raise concerns about the psychological tendency and the audience to enhance their core competitiveness that anchor
张玉安、牛莉霞、刘洁、李慧萍、吕瑞、刘勇
信息传播、知识传播
网络直播网络主播受欢迎因素解释结构模型(ISM)层次分析法(AHP)
network broadcastnetwork anchorpopular factorsinterpretative structural modeling (ISM)analytic hierarchy process (AHP)
张玉安,牛莉霞,刘洁,李慧萍,吕瑞,刘勇.基于ISM和AHP模型的网络主播受欢迎程度影响因素研究[EB/OL].(2017-06-02)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/201706-34.点此复制
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