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A novel hybrid social media platform selection model using fuzzy ANP and COPRAS-G

机译:基于模糊ANP和COPRAS-G的新型混合社交媒体平台选择模型

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摘要

The growing popularity of social media platforms has sparked new marketing opportunities for companies. Marketers have turned to social media campaigns as a means to build brand loyalty, exposure, and engagement. While social media has evolved into a powerful marketing tool, marketers must carefully choose the most suitable social media platform. Improper selection of the social media platform can be costly and can be detrimental to the brand. Despite all of the supposed benefits, selecting the right social media platform has been a daunting task for corporate marketers. The social media platform selection problems are inherently complex problems with multiple and often conflicting criteria. We propose a novel analytical framework for social media platform selection. The proposed hybrid framework integrates the Analytic Network Process (ANP) with fuzzy set theory and the complex PRoportional Assessment of alternatives with Grey relations (COPRAS-G) method. The ANP and fuzzy set theory are used to determine the importance weight of the social media platform selection criteria in a fuzzy environment. The COPRAS-G method is used to rank and select the most suitable social media platform. A case study is presented to demonstrate the applicability of the proposed framework and exhibit the efficacy of the procedures and algorithms.
机译:社交媒体平台的日益普及为公司带来了新的营销机会。营销人员已将社交媒体活动作为建立品牌忠诚度,知名度和参与度的一种手段。尽管社交媒体已经发展成为一种强大的营销工具,但营销人员必须谨慎选择最合适的社交媒体平台。社交媒体平台的选择不当可能会导致成本高昂,并可能损害品牌。尽管拥有所有假定的好处,但选择正确的社交媒体平台对企业营销人员而言却是艰巨的任务。社交媒体平台选择问题是具有多个且经常相互冲突的标准的内在复杂问题。我们为社交媒体平台选择提出了一种新颖的分析框架。提出的混合框架将模糊网络理论与分析网络过程(ANP)结合,并采用灰色关联法对备选方案进行了复杂的比例估计(COPRAS-G)。 ANP和模糊集理论用于确定在模糊环境中社交媒体平台选择标准的重要性。 COPRAS-G方法用于对最合适的社交媒体平台进行排名和选择。进行了案例研究,以证明所提出框架的适用性,并展示了程序和算法的有效性。

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