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The purpose of this paper is to describe a post‐processing procedure for defining load paths and a load bearing topology using the stresses from a finite element analysis.

Cauchy stress vectors and a Runge‐Kutta algorithm are used to identify the paths being followed by load components aligned with the coordinate axes. An algorithm is then defined which identifies an efficient topology that will carry the loads by straightening the paths.

The aim of the algorithm is to provide insight into the way a structure is carrying loads by identifying the material most effective in performing the load transfer. The procedure is applied to a number of structures to demonstrate its applicability to structural design.

The examples demonstrate an insight of structural behavior that is useful at the conceptual stage of the design process. The load paths identify load transfer and warn the designer of the creation of bending moments and the location of features such as holes on the load path. They also demonstrate that the new procedures can provide suggestions for alternate topologies for the load bearing structure.

The load path theory has been published elsewhere. The new work in this paper is the definition of the Runge‐Kutta algorithm to define the paths and the algorithm to identify the topology performing the load transfer.

Investigates the differences in protocols between arbitral tribunals and courts, with particular emphasis on US, Greek and English law. Gives examples of each country and its way of using the law in specific circumstances, and shows the variations therein. Sums up that arbitration is much the better way to gok as it avoids delays and expenses, plus the vexation/frustration of normal litigation. Concludes that the US and Greek constitutions and common law tradition in England appear to allow involved parties to choose their own judge, who can thus be an arbitrator. Discusses e‐commerce and speculates on this for the future.

Develops an original 12‐step management of technology protocol and applies it to 51 applications which range from Du Pont’s failure in Nylon to the Single Online Trade Exchange for Auto Parts procurement by GM, Ford, Daimler‐Chrysler and Renault‐Nissan. Provides many case studies with regards to the adoption of technology and describes seven chief technology officer characteristics. Discusses common errors when companies invest in technology and considers the probabilities of success. Provides 175 questions and answers to reinforce the concepts introduced. States that this substantial journal is aimed primarily at the present and potential chief technology officer to assist their survival and success in national and international markets.

With the increasing mobility of higher education students across the world, institutions and instructors are confronted with the need to mitigate the linguistic challenges that multilingual students face in learning advanced content in universities or colleges where English or another language is the medium of instruction. This usually pertains to students who have low competence in the language of instruction, as it is a second or third foreign language for them, hence encountering difficulties in the mastery of discipline-specific content and knowledge. First and foremost, this chapter explores the specific linguistic barriers that multilingual students encounter in this context, which relate to several elements of communicative competence in the language of instruction, while investigating empirical studies on instructional strategies for multilingual classes. Secondly, it discusses the use of Merrill’s (2013) first principles of instruction as the main framework in the design of technology-enhanced lesson plans and in the selection implementation of technology-nested instructional strategies, which can assist instructors in creating linguistically inclusive learning environments across disciplines, while maintaining high academic standards. The chapter critically addresses the use of ICT tools in supporting instructional strategies and lesson plan design to mitigate students’ linguistic difficulties with the receptive and productive language skills within discipline-specific contexts. Finally, it provides a lesson plan template and examples encouraging instructors to carefully plan and design instruction and to experiment and monitor the outcomes in their classes.

Due to its high leverage nature, a bank suffers vitally from the credit risk it inherently bears. As a result, managing credit is the ultimate responsibility of a bank. In this chapter, we examine how efficiently banks manage their credit risk via a powerful tool used widely in the decision/management science area called data envelopment analysis (DEA). Among various existing versions, our DEA is a two-stage, dynamic model that captures how each bank performs relative to its peer banks in terms of value creation and credit risk control. Using data from the largest 22 banks in the United States over the period of 1996 till 2013, we have identified leading banks such as First Bank systems and Bank of New York Mellon before and after mergers and acquisitions, respectively. With the goal of preventing financial crises such as the one that occurred in 2008, a conceptual model of credit risk reduction and management (CRR&M) is proposed in the final section of this study. Discussions on strategy formulations at both the individual bank level and the national level are provided. With the help of our two-stage DEA-based decision support systems and CRR&M-driven strategies, policy/decision-makers in a banking sector can identify improvement opportunities regarding value creation and risk mitigation. The effective tool and procedures presented in this work will help banks worldwide manage the unknown and become more resilient to potential credit crises in the 21st century.

In this paper, the authors focus on training as a frequently used knowledge management tool. This paper aims to help training function to achieve excellence at the first attempt by evaluating and deciding on the most interesting method for each training action before engaging the investment.

The authors apply instructional theories to evaluate the relevance of training methods and explored the multiple criteria decision analysis methods, which is a mathematical approach, for the evaluation to be rational. An experimental research based on study cases is also presented to test the applicability and effectiveness of the model proposed.

A decisional model that allows to choose rationally the most appropriate training method for each case. It is based on Elicitation and Choice Translating Reality (ELECTRE I) method, which is a multi-criteria decision analysis method and uses criteria from First Principles developed by Merrill in 2002.

The proposed model may have several implications for the improvement of training performance, particularly in the context of quality management systems that require product compliance based on continuous improvement and risk-based approaches. It can, therefore, be used as a tool to control the quality of training process or control the risk relative to the execution of a training action or more generally as a tool to “check” that training methods chosen are the most appropriate to attempt the training objectives before “act” the training action.

The combination of a decision analysis system with the theory of instruction and the applicability to training process management.