A multidimensional framework for financial–economic decisions

Most financial–economic decisions are made consciously, with a clear and constant drive to ‘good’, ‘better’ or even ‘optimal’ decisions. Nevertheless, many decisions in practice do not earn these qualifications, despite the availability of financial economic theory, decision sciences and ample resources. We plea for the development of a multidimensional framework to support financial economic decision processes. Our aim is to achieve a better integration of available theory and decision technologies. We sketch (a) what the framework should look like, (b) what elements of the framework already exist and which not, and (c) how the MCDA community can co‐operate in its development. Copyright © 2003 John Wiley & Sons, Ltd.     

Juvenile vervet monkeys rely on others when responding to danger

Animal Cognition - Primate alarm calls are mainly hardwired but individuals need to adapt their calling behaviours according to the situation. Such learning necessitates recognising locally...     

Cognitive Resources and Leadership Performance: What About the Task Requirements?

Fred E. Fiedler made an important contribution in summarising and discussing the tricky relationships between test-intelligence, time in service, and perceived experience on the one side, and rated leadership performance on the other. Two strings of results seem to be of importance for improving our knowledge on these relationships: (1) test-intelligence correlates with rated performance especially in the case of low perceived stress, and experience especially in the case of high stress; (2) test-intelligence correlates with rated performance if the other resource, perceived experience, is low. Both strings of results may fit with our expectations. Nevertheless, some aspects of the problem might trouble some readers, for reasons that Fiedler is not responsible for. There seem to be at least three clusters of unfulfilled wishes within this topic of research: selection and operationalisation of variables; design; and task requirements and intelligence.