This book takes an original approach to business models and entrepreneurship, resulting from a durable involvement with entrepreneurs and from experiments combining theory and practice. The authors present the generation, remuneration, and sharing business model, which relates to the value generation, its remuneration and the sharing of this remuneration. They also outline the role and the central place of the business model within the entrepreneurial process; the theoretical bases - conventions theory, resource based view and stakeholder theory - and the construction of the GRS model; the experiments conducted within teaching, practical, and theoretical frameworks; and the contribution of the business model to a theory of entrepreneurship theory. The book explains why the business model can be useful for entrepreneurs and why it is relevant to set it in place during the entrepreneurial process. Students and researchers who are interested in entrepreneurship will find this an important resource for developing a new business. Management coaches, often interested in the most recent developments of management research, will have no difficulty moving between the theory and practice set out in this book. Finally, curious entrepreneurs will read this study not to seek immediate solutions to a problem but to reflect on the topics addressed here that show that the business model is not just a fashion but is highly useful.
The level of quality that food maintains as it travels down the production-to-consumption path is largely determined by the chemical, biochemical, physical, and microbiological changes that take place during its processing and storage. Authored by an internationally respected food quality expert, Kinetic Modeling of Reactions in Foods demonstrates how to effectively capture these changes in an integrative fashion using mathematical models. Thus, kinetic modeling of food changes creates the possibility to control and predict food quality from a technological point of view.
Illustrating how kinetic modeling can predict and control food quality from farm to fork, this authoritative resource:
This essential reference is an indispensable guide to understanding all aspects of kinetic food modeling. Unlike many other kinetic volumes available, this book opens the door to the many untapped research opportunities in the food science realm where mathematical modeling can be applied.
This book is a textbook (it includes, for example, exercises and outline solutions). The plant scientist is shown how to express physiological ideas mathematically and how to deduce quantitative conclusions, which can then be compared with experiment. There is little new biology in the book, but it is presented in a way that will be new to many biologists. The matching of models to experiments means using mathematics for formulating biological concepts and second, using algebra, calculus, or, now more frequently, computers to solve or simulate the resulting model; and finally, comparing, qualitatively or quantitatively, prediction to measurement. Computers are the important enabling technology that makes it all possible: solving equations, assembling models of increasing sophistication and complexity, and comparing theory with experiment. The book is divided into three parts. Part I. Covers subjects of wide relevance to modelling and plant biology. Part II. The reader may choose to select topics of particular interest from part II. However, the whole-plant modeller will need to study all chapters, and the plant ecosystem modeller may need to add other material also. Part III. Plant morphology is at an introductory level. It is included because morphological characters may prove to be of equal importance to some physiological traits in determining plant function and performance. "This textbook presents, in an interesting and clearly written fashion, a mathematical approach to a wide range of topics in plant and crop physiology, including light interception, leaf and canopy photosynthesis, respiration, partitioning, transpiration and water relations, branching and phyllotaxis. The biochemistry of plant growth and maintenanace is also presented in some detail. I was very pleased with the text, especially with the philosophy presented by the authors that biological models are necessarily simplifications of complex detail. I would strongly recommend it for reading and consultation by graduates and research workers." J. Exp. Botany "The authors' approach succeeds admirably, giving a thorough account of the mathematical toolbox available to researchers and the areas in which those tools have been used." Plant, Cell and Environment "Combining considerable technical cleverness with creativity and the refreshing notion that science is a "common-sense, unpredictable, fascinating and thoroughly human activity." Times Higher Educational Supplement "Exceptionally scholarly volume. Logical and systematic. Authors have assembled a mass of mathematical material in an elegant layout." Agricultural Systems
Changing trends in fashion have always reflected large-scale social and cultural changes. Changing Fashion presents for the first time a multi-disciplinary approach to examining fashion change, bringing together theory from fashion studies, cultural studies, sociology, psychology and art history, amongst others. Ideal for the undergraduate student of fashion and cultural studies, the book has a wide range of contemporary and historical case material which provides practical examples of trend analysis and change, from the art deco textile designs of Sonia Delaunay to the chameleonic shifts in Bob Dylan's appearance over time. Key issues in fashion and identity, such as race, gender and consumption are examined from different disciplinary angles to provide a critical overview of the field. Changing Fashion provides a concise guide to the main theories across disciplines that explain how and why media, clothing styles, and cultural practices fall in and out of fashion.
The idea about this book has evolved during the process of its preparation as some of the results have been achieved in parallel with its writing. One reason for this is that in this area of research results are very quickly updated. Another is, possibly, that a strong, unchallenged theoretical basis in this field still does not fully exist. From other hand, the rate of innovation, competition and demand from different branches of industry (from biotech industry to civil and building engineering, from market forecasting to civil aviation, from robotics to emerging e-commerce) is increasingly pressing for more customised solutions based on learning consumers behaviour. A highly interdisciplinary and rapidly innovating field is forming which focus is the design of intelligent, self-adapting systems and machines. It is on the crossroads of control theory, artificial and computational intelligence, different engineering disciplines borrowing heavily from the biology and life sciences. It is often called intelligent control, soft computing or intelligent technology. Some other branches have appeared recently like intelligent agents (which migrated from robotics to different engineering fields), data fusion, knowledge extraction etc., which are inherently related to this field. The core is the attempts to enhance the abilities of the classical control theory in order to have more adequate, flexible, and adaptive models and control algorithms.
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