The motivation of older employees to learn is a complex psychological construct that has hardly been addressed to date. With increasing age, changes in learning and performance as well as a decreasing motivation for training become apparent. Gernot Schiefer and Corinna Hoffmann show connections between motivation, performance and learning behavior and analyze motivational factors and learning obstacles of older employees. In a practical manner, the authors present possibilities for companies to actively contribute to promote the learning motivation of their older employees. This Springer essential is a translation of the original German 1st edition essentials, Lernmotivation und Weiterbildungsbereitschaft älterer Mitarbeiter by Gernot Schiefer and Corinna Hoffmann, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2019. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically different from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors. The Contents Development of learning motivation of older employees Relationship between motivation, performance and learning Concrete motivation factors and barriers of older employees Possibilities to promote motivation The Target Groups Managers who want to deal with performance possibilities and motivation promotion of older employees Students of business psychology and human resource management The Authors Prof. Dr. Gernot Schiefer teaches business psychology and human resource management at the FOM University in Mannheim and works as a coach and consultant. Corinna Hoffmann, M. Sc. works in the human resources department of an international consumer goods manufacturer.
The motivation of older employees to learn is a complex psychological construct that has hardly been addressed to date. With increasing age, changes in learning and performance as well as a decreasing motivation for training become apparent. Gernot Schiefer and Corinna Hoffmann show connections between motivation, performance and learning behavior and analyze motivational factors and learning obstacles of older employees. In a practical manner, the authors present possibilities for companies to actively contribute to promote the learning motivation of their older employees. This Springer essential is a translation of the original German 1st edition essentials, Lernmotivation und Weiterbildungsbereitschaft älterer Mitarbeiter by Gernot Schiefer and Corinna Hoffmann, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2019. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically different from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors. The Contents Development of learning motivation of older employees Relationship between motivation, performance and learning Concrete motivation factors and barriers of older employees Possibilities to promote motivation The Target Groups Managers who want to deal with performance possibilities and motivation promotion of older employees Students of business psychology and human resource management The Authors Prof. Dr. Gernot Schiefer teaches business psychology and human resource management at the FOM University in Mannheim and works as a coach and consultant. Corinna Hoffmann, M. Sc. works in the human resources department of an international consumer goods manufacturer.
Stromatolites are the most intriguing geobiological structures of the entire earth history since the beginning of the fossil record in the Archaean. Stromatolites and microbialites are interpreted as biosedimentological remains of biofilms and microbial mats. These structures are important environmental and evolutionary archives which give us information about ancient habitats, biodiversity, and evolution of complex benthic ecosystems. However, many geobiological aspects of these structures are still unknown or only poorly understood. The present proceedings highlight the new ideas and information on the formation and environmental setting of stromatolites presented at the occasion of the Kalkowsky Symposium 2008, held in Göttingen, Germany.
This book discusses the introduction of isogeometric technology to the boundary element method (BEM) in order to establish an improved link between simulation and computer aided design (CAD) that does not require mesh generation. In the isogeometric BEM, non-uniform rational B-splines replace the Lagrange polynomials used in conventional BEM. This may seem a trivial exercise, but if implemented rigorously, it has profound implications for the programming, resulting in software that is extremely user friendly and efficient. The BEM is ideally suited for linking with CAD, as both rely on the definition of objects by boundary representation. The book shows how the isogeometric philosophy can be implemented and how its benefits can be maximised with a minimum of user effort. Using several examples, ranging from potential problems to elasticity, it demonstrates that the isogeometric approach results in a drastic reduction in the number of unknowns and an increase in the quality of the results. In some cases even exact solutions without refinement are possible. The book also presents a number of practical applications, demonstrating that the development is not only of academic interest. It then elegantly addresses heterogeneous and non-linear problems using isogeometric concepts, and tests them on several examples, including a severely non-linear problem in viscous flow. The book makes a significant contribution towards a seamless integration of CAD and simulation, which eliminates the need for tedious mesh generation and provides high-quality results with minimum user intervention and computing.
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