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The purpose of this study is to prove that narratives can be a adequate foundation for human behavior in general and economic behavior in particular using the Donald Duck universe as an example.

By using a content analysis, the authors examine 208 stories of the Donald Duck universe to prove that economic behavior is already embedded in modern narratives of the 20th century.

This analysis shows that behavioral finance effects are identified in a total of 52.4% of the analyzed comics. This study furthermore distinguishes the main comic characters Donald Duck and Scrooge McDuck and finds that eight of the nine considered behavioral finance biases can be detected in both. The most striking effect for Donald Duck is overconfidence and for Uncle Scrooge loss aversion.

Collectively, these comics provide potential exemplars for behavioral finance. Regardless of whether these comics depict human nature or merely reflect human behavior during that time, they inevitably contribute to the understanding that psychological and sociological influences determine behavior in addition to economic factors that can be used for academic teaching.

In summary, comics, such as the Donald Duck universe, are suitable narratives for behavioral finance.

This study aims to characterize the suitability of a direct extrusion process in the fused layer manufacturing (FLM)-method under processing of granulated plastics.

In this paper, a granulate-based direct extrusion system in the FLM method is presented. This system is characterized with respect to the strand deposition mechanism and resulting component properties (geometrically and mechanically).

The extruder output could be identified as a linear relation between the applied extruder speed and the resulting mass flow. A developed model for the material and temperature-dependent strand deposition process was validated under experimental investigations. Further, it was possible to define process windows to realize desired strand widths and strand heights. In addition, analyses were conducted to determine the tensile strength transversely to the orientation of the layer plane.

The extrusion system was characterized under the processing of materials ABS Magnum 8434 and PLA Ingeo 4043D. Due to the restricted choice of materials, further investigations are planned under an extension of the test materials. Furthermore, the degree of the geometric complexity of the test components should be increased to finally characterize the process.

By means of the characterization of the direct extrusion system, it is possible for users to classify the process and to use the process in specific application areas. In comparison to filament-based extrusion systems, significant advantages can be achieved by means of direct extrusion. These include, for example, the use of less expensive work materials (by factor >10), the use of existing test certificates and the advantage of higher mechanical properties. This makes it possible to meet modern product requirements and to produce competitive components.

This paper seeks to provide a timely review of developments to the theory of constraints (TOC) body of knowledge, particularly the TOC thinking processes as reported in the public domain peer‐reviewed literature, and to present an analysis of the nature of the thinking processes (TPs), and their methodological and applicatory evolution.

Research reported in the public domain from 1994 to early 2006, as peer‐reviewed journal articles or as papers published in refereed conference proceedings, was reviewed to summarize key research issues that have been studied and to suggest future research. The literature is categorized along several dimensions and according to several emergent and self‐defined clusters that relate to application area, methodology and epistemology.

This paper presents a comprehensive review of the TP literature, identifies specific publication and research gaps as they relate to the defined classification and also provides some future research topics.

The review addresses only the peer‐reviewed literature spanning a limited period from 1994 to the time of the current work in early 2006 – that is the period since the publication of Goldratt's It's Not Luck. In doing so, the review complements the work of others for the period to 2000, extends previous reviews beyond 2000, whilst providing an additional focus on the TPs.

This paper provides useful insights about the development of the TOC body of knowledge, especially as it relates to the development and reported use of the TPs as stand‐alone tools or in tandem with other tools or methods. It provides a valuable summary, for academics and practitioners, of the developing TOC body of knowledge that has been reported in the peer‐reviewed literature.

The development of the TOC body of knowledge has been largely practice‐led, manifested not only in the diverse nature of application areas and in the diverse use of TOC tools, but also in the broader evolution of TOC methodology, methods and tools. Earlier reviews of the literature in this journal preceded many of the developments documented here. This paper will help position the many TOC methods and tools in relation to one another, as well as capturing developments in multi‐methodological usage across several domains.

The purpose of this research is to propose an approach for discovering operational intelligence and knowledge mapping in a supply network with uncertainty.

Knowledge mapping and handbook techniques are used. TAPS software is used to model a supply network with uncertainty and to discover operational intelligence in a supply network.

Knowledge management is inadequate for managing a supply network with uncertainty. Knowledge mapping is proposed, but it needs to be assisted by operational intelligence.

iTAPS provides managers with an ability to visualise the operational intelligence for a given objective, and to identify the likely effects on implementing a particular tool or technique in a supply network.

A new approach – called the “intelligence handbook” is proposed to discover operational intelligence in order to map knowledge in a supply network with uncertainty.