This paper presents an exploratory memetic perspective on the diffusion pattern of the ALS
Ice Bucket Challenge. More precisely, the paper contributes to research on social learning …

We apply an agent-based simulation approach to explore how and why typical network
characteristics affect overall knowledge diffusion properties. To accomplish this task, we …

Technological innovation is fundamental to firm performance and economic prosperity. The
aim of this book is to contribute to an in-depth understanding of collective innovation …

In this article, we develop a new way to capture knowledge diffusion and assimilation in
innovation networks by means of an agent-based simulation model. The model incorporates …

Social networks provide a natural infrastructure for knowledge creation and exchange. In
this paper, we study the effects of a skewed degree distribution within formal networks on …

Today, the word innovation is something everybody knows. It is one of those buzz words
which one encounters in many different ways and occasions. Firms advertise even slight …

To open the black box of how open innovation works at the network level, we particularly
focused on the effects of TFs' collective openness of external knowledge search on RIN …

Computational intelligence has been frequently applied to modeling artificial agents in agent-
based computational economics. Commonly used applications include reinforcement …

Tobias Buchmann analyzes innovation network dynamics in the German automotive
industry. The study is based on a model for analyzing the complex evolution of innovation …

Aiming at fostering the transition towards a sustainable knowledge-based Bioeconomy
(SKBBE), the German Federal Government funds joint and single research projects in …