The study of moral decision-making presents to us two approaches for understanding such choices. The cognitive and the neurocognitive approaches postulate that reason and reasoning determines moral judgments. On the other hand, the intuitionist approaches postulate that automated intuitions mostly dominate moral judgments. There is a growing concern that neither of these approaches by itself captures all the key aspects of moral judgments. This paper draws on models from neurocognitive research and social-intuitionist research areas to propose an integrative cognitive–intuitive model (...) of moral decision-making. The model suggests that moral decision-making includes five interdependent, yet functionally distinct steps, issue framing, pre-processing, moral judgment, moral reflection, and moral intent. The model proposes a cognitive–intuitive view of moral judgment and it describes how emotion regulation, perceived moral intensity, and perceived ethical climate constructs impact the formation of moral intent. The paper discusses the theories that link emotions to moral judgment and implications of the model for future research and its implication for managers. (shrink)

How can we explain the intentional nature of an expert’s actions, performed without immediate and conscious control, relying instead on automatic cognitive processes? How can we account for the differences and similarities with a novice’s performance of the same actions? Can a naturalist explanation of intentional expert action be in line with a philosophical concept of intentional action? Answering these and related questions in a positive sense, this dissertation develops a three-step argument. Part I considers different methods of explanations in (...) cognitive neuroscience (Bennett & Hacker’s philosophical, conceptual analysis; Marr’s three levels of explanation; Neural Correlates of Consciousness research; mechanistic explanation), defending ‘mechanistic explanation’ as a method that provides the necessary tools for integrating interdisciplinary insights into human action. Furthermore, a dynamic, explanatory mechanism allows the assessment of the impact of learning and development on expert action in a valuable way that other methods don’t. Part II continues by scrutinizing several cognitive neuroscientific theories of learning and development (neuroconstructivism; dual-processing theories; simulation theory; extended mind/cognition hypothesis), arguing for the complex interactions between different types of processing and different action representations involved in expert action performances. Moreover, according to our discussion of a particular ‘simulation theory’ these interactions can be influenced in several ways with the use of language, allowing an agent to configure a specific action representation for performance at a later stage. The results of Parts I and II are then applied in Part III to a parallel discussion of philosophical analyses of intentional action (discussing i.a. Frankfurt, Bratman, Pacherie and Ricoeur) and cognitive neuroscientific insights in it. Both approaches are found to converge in emphasizing the importance for an expert to develop stable patterns of actions that comply maximally not only with his intentions, but also with his motor expertise and with situational conditions. Consequently, his actions – automatic, or not – rely on this ‘sculpted space of actions’. (shrink)