An agent-based diffusion model with consumer and brand agents

Mary E. Schramm, Kevin J Trainor, Murali Shanker, Michael Y. Hu

Research output: Contribution to journalArticle

36 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)234-242
Number of pages9
JournalDecision Support Systems
Volume50
Issue number1
DOIs
StatePublished - Dec 2010
Externally publishedYes

Fingerprint

Systems Analysis
Diffusion of Innovation
Adaptive systems
Macros
Innovation
Diffusion model
Agent-based
Diffusion Model
Agent-based modeling
Agent-based Modeling

Keywords

  • Adoption
  • Agent-based modeling
  • Brand
  • Diffusion
  • Innovation
  • Product

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Information Systems and Management

Cite this

An agent-based diffusion model with consumer and brand agents. / Schramm, Mary E.; Trainor, Kevin J; Shanker, Murali; Hu, Michael Y.

In: Decision Support Systems, Vol. 50, No. 1, 12.2010, p. 234-242.

Research output: Contribution to journalArticle

Schramm, Mary E. ; Trainor, Kevin J ; Shanker, Murali ; Hu, Michael Y. / An agent-based diffusion model with consumer and brand agents. In: Decision Support Systems. 2010 ; Vol. 50, No. 1. pp. 234-242.
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