Indexed by:期刊论文
Date of Publication:2018-10-01
Journal:JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING
Included Journals:SCIE
Volume:27
Issue:5
Page Number:677-689
ISSN No.:1004-3756
Key Words:Coupled dynamics; social marketing; dynamics of brand acceptance; opinion dynamics; diffusion dynamics
Abstract: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.
Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Gender:Male
Alma Mater:大连理工大学
Degree:Doctoral Degree
School/Department:系统工程研究所
Discipline:Management Science and Engineering. Systems Engineering
Business Address:经济管理学院D533
Contact Information:hxxia(at)dlut(dot)edu(dot)cn 电话:0411-84706689
Open time:..
The Last Update Time:..