An agent-based diffusion model with consumer and brand agents
| Autor: | Kevin J. Trainor, Murali Shanker, Mary E. Schramm, Michael Y. Hu |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Information Systems and Management
Trademark Computer science Complex system Diffusion of innovations Management Information Systems Microeconomics Product (business) Arts and Humanities (miscellaneous) Adaptive system Developmental and Educational Psychology Marketing Diffusion (business) Adaptation (computer science) Information Systems |
| Zdroj: | Decision Support Systems. 50:234-242 |
| ISSN: | 0167-9236 |
| DOI: | 10.1016/j.dss.2010.08.004 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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