This paper tries to connect the theory of genetic algorithm (GA) learning to evolutionary game theory. It is shown that economic learning via genetic algorithms can be described as a specific form of evolutionary game. It will be pointed out that GA learning results in a series of near Nash...

In this paper, we run regression analyses to explain voluntary turnover intentions with data from more than 5,000 employees and with about 250 explanatory variables. The findings of our multi-factor approach highlight the fact that previous empirical research might have over-estimated the impact...

Vor welchen Herausforderungen steht das Projekt der Bioökonomie, wenn man aus einer ordonomischen Perspektive auf das Phänomen eines demokratischen Diskursversagens blickt? Zwei Arten des Diskursversagens sind zu unterscheiden: (a) der Fehl-Alarm und (b) der Fehlende Alarm. Gerade im Hinblick...

This study belongs to the research field of neuroeconomics, which is currently evolving at the periphery of neuroscience and economics. Its author pursues the objective of empirically studying the relationship between cognitive load in an economic situation and the neuronal processes within a...

Existing narratives about how we should organize are built upon, and reinforce, a concept of 'good management' derived from what is assumed to be a fundamental need to increase efficiency. But this assumption is based on a presentist, monocultural, and generally limited view of management's...

Evolutionary economics sees the economy as always in motion with change being driven largely by continuing innovation. This approach to economics, heavily influenced by the work of Joseph Schumpeter, saw a revival as an alternative way of thinking about economic advancement as a result of...