An agent-based diffusion model with consumer and brand agents

被引：66

作者：

Schramm, Mary E. ^{[1
]}

Trainor, Kevin J. ^{[2
]}

Shanker, Murali ^{[1
]}

Hu, Michael Y.

机构：

[1] Kent State Univ, Dept Management & Informat Syst, Kent, OH 44242 USA

[2] Canisius Coll, Sch Business, Buffalo, NY 14208 USA

来源：

DECISION SUPPORT SYSTEMS | 2010年 / 50卷 / 01期

关键词：

Adoption; Diffusion; Innovation; Agent-based modeling; Brand; Product; MARKET; ENTRY; SIMULATION; ADVANTAGE; PRODUCTS; DYNAMICS; IMPACT; SALES;

D O I：

10.1016/j.dss.2010.08.004

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Market members interact within a complex, adaptive system to effect adoption decisions and the resulting diffusion of innovations. Agent-based modeling (ABM) is a methodology well suited for simulating this system. It complements and extends econometric approaches by incorporating interactions among system members, and adaptation in the system, revealing emergent results. Since ABM allows study at the individual unit level, heterogeneity among system members is reflected and modeling at the brand level is possible. Here an ABM with consumer and brand agents is described. The brand and product diffusion curve output allows study of diffusion at micro and macro levels, respectively. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：234 / 242

页数：9

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