Abstract
Understanding how innovations are accepted in a dynamic and complex market environment is a crucial factor for competitive advantage. To understand the relevant factors for this diffusion and to predict success, empirically grounded agent-based models have become increasingly popular in recent years. Despite the popularity of these innovation diffusion models, no common framework that integrates their diversity exists. This article presents a flexible, modular and extensible common description and implementation framework that allows to depict the large variety of model components found in existing models. The framework aims to provide a theoretically grounded description and implementation framework for empirically grounded agent-based models of innovation diffusion. It identifies 30 component requirements to conceptualize an integrated formal framework description. Based on this formal description, a java-based implementation allowing for flexible configuration of existing and future models of innovation diffusion is developed. As a variable decision support tool in decision-making processes on the adoption of innovations the framework is valuable for the investigation of a range of research questions on innovation diffusion, business model evaluation and infrastructure transformation.
Original language | English |
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Article number | 8 |
Journal | Complex Adaptive Systems Modeling |
Volume | 8 |
Issue number | 1 |
ISSN | 2194-3206 |
DOIs | |
Publication status | Published - 2020 |
Keywords
- Agent-based modeling
- Agent-based product diffusion model
- Innovation diffusion
- Human decision-making
- Socio-economic simulation
- Multi-agent simulation