A modular multi-agent framework for innovation diffusion in changing business environments: conceptualization, formalization and implementation

Simon Johanning*, Fabian Scheller, Daniel Abitz, Claudius Wehner, Thomas Bruckner

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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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 languageEnglish
Article number8
JournalComplex Adaptive Systems Modeling
Volume8
Issue number1
ISSN2194-3206
DOIs
Publication statusPublished - 2020

Keywords

  • Agent-based modeling
  • Agent-based product diffusion model
  • Innovation diffusion
  • Human decision-making
  • Socio-economic simulation
  • Multi-agent simulation

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