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    夏昊翔

    • 教授     博士生导师   硕士生导师
    • 性别:男
    • 毕业院校:大连理工大学
    • 学位:博士
    • 所在单位:系统工程研究所
    • 学科:管理科学与工程. 系统工程
    • 办公地点:经济管理学院D533
    • 联系方式:hxxia(at)dlut(dot)edu(dot)cn 电话:0411-84706689

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    A Coupled Dynamic Model of Brand Acceptance and Promotive Information Spreading

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    论文类型:期刊论文

    发表时间:2018-10-01

    发表刊物:JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING

    收录刊物:SCIE

    卷号:27

    期号:5

    页面范围:677-689

    ISSN号:1004-3756

    关键字:Coupled dynamics; social marketing; dynamics of brand acceptance; opinion dynamics; diffusion dynamics

    摘要:When people try to decide to buy or not to, they are often influenced by both their inherent opinions and the social marketing activities e.g. advertising, social news with strong point of view. Then people will make their final choice, or even convince other people to buy. After all, this is the brand acceptance formation process. Factually, the dynamics of brand acceptance is essentially an interwoven dynamics of endogenous opinion dynamics disturbed by an information diffusion process. To have a better understanding of the dynamics of brand acceptance, we propose and analyze a coupled agent-based dynamic model that combines the Majority-Rule-based Voter model in opinion dynamics with the SI Model for information spreading to analyze the dynamics of brand acceptance in social media. We focus on two important parameters in diffusion dynamics: the decayed transmission rate () and the diffusion frequency (f). When the system is stable, the order parameter of the system is the duration time (). In the absence of opinion interaction, the simulation results indicate that, when a brand tries to occupy a larger market share through social marketing approaches, it is always effective to let the opponent to be the propaganda target. While with the Majority-Rule-based Voter Model included, we observe that the opinion interaction could have a dual function, which shows that a brand holding a small market share in the first place needs to adopt diverse marketing approaches according to different marketing environment types.