Описание: Based on a sample of German family firms, this title indicates that, against expectations, family firms, performance is not driven by strategic fit but through the effective use of family-specific factors such as family business governance and family culture. It aims at investigating whether strategic fit determines family firm performance.
Автор: Cynthia A. Montgomery Название: Resource-Based and Evolutionary Theories of the Firm ISBN: 079239562X ISBN-13(EAN): 9780792395621 Издательство: Springer Рейтинг: Цена: 36197.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Resource-Based and Evolutionary Theories of the Firm: Towards a Synthesis explores the intersection of evolutionary theories of the firm with an emergent body of research in the field of strategic management that has been broadly referred to as the `resource-based view of the firm`.
Автор: Maureen McKelvey Название: Evolutionary Innovations: The Business of Biotechnology ISBN: 0198297246 ISBN-13(EAN): 9780198297246 Издательство: Oxford Academ Рейтинг: Цена: 7760.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a study of the commercial development and uses of genetic engineering from the 1970s onwards. Maureen McKelvey focuses on two firms-Genentech in the US, and Kabi in Sweden-and compares their initiatives, activities, and organization as they brought knowledge to the market in the form of insulin and the human growth hormone. Evolutionary Innovations was awarded the Schumpeter Society book prize in 1996. For this paperback edition the author haswritten a new introduction in which she reflects upon the most recent developments in biotechnology.
Автор: Barney, Jay B.; Clark, Delwyn N. Название: Resource-Based Theory ISBN: 0199277699 ISBN-13(EAN): 9780199277698 Издательство: Oxford Academ Рейтинг: Цена: 8395.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The `Resource-Based View of the Firm` has emerged as one of the dominant perspectives used in strategic management. It addresses the fundamental research question of strategic management: Why it is that some firms persistently outperform others? Resource-Based Theory provides a considered overview of this theory from one of its key thinkers.
Автор: Prof. Dr. Thomas Mellewigt; Katja Nothnagel Название: Empirical Research within Resource-Based Theory ISBN: 3834909211 ISBN-13(EAN): 9783834909213 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Katja Nothnagel evaluates the growing body of empirical research in resource-based theory. She starts out by deriving six central propositions and then examines how these propositions have been tested empirically. The results suggest that substantial progress has been made within the empirical part of RBT
Автор: Lars Magnusson Название: Evolutionary and Neo-Schumpeterian Approaches to Economics ISBN: 9401737649 ISBN-13(EAN): 9789401737647 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: J?rg Biethahn; Volker Nissen Название: Evolutionary Algorithms in Management Applications ISBN: 3642647499 ISBN-13(EAN): 9783642647499 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Evolutionary Algorithms (EA) are powerful search and optimisation techniques inspired by the mechanisms of natural evolution.
Описание: This cutting-edge volume presents recent advances in the area of metaheuristic combinatorial optimisation, with a special focus on evolutionary computation methods. Moreover, it addresses local search methods and hybrid approaches.
Описание: Combinatorial optimisation is a ubiquitous discipline whose usefulness spans vast applications domains. This title presents advances in the area of metaheuristic combinatorial optimisation, with a focus on evolutionary computation methods. It addresses local search methods and hybrid approaches.
Автор: Arno Scharl Название: Evolutionary Web Development ISBN: 1852333103 ISBN-13(EAN): 9781852333102 Издательство: Springer Рейтинг: Цена: 6981.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Examining the evolution of Web information systems, this text pays particular attention to the emergent attributes of electronic markets.
Автор: Ruhul Sarker; Masoud Mohammadian; Xin Yao Название: Evolutionary Optimization ISBN: 1475775709 ISBN-13(EAN): 9781475775709 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Anil Menon Название: Frontiers of Evolutionary Computation ISBN: 1475784945 ISBN-13(EAN): 9781475784947 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Frontiers of Evolutionary Computation brings together eleven contributions by international leading researchers discussing what significant issues still remain unresolved in the field of Evolutionary Computation (EC). They explore such topics as the role of building blocks, the balancing of exploration with exploitation, the modeling of EC algorithms, the connection with optimization theory and the role of EC as a meta-heuristic method, to name a few. The articles feature a mixture of informal discussion interspersed with formal statements, thus providing the reader an opportunity to observe a wide range of EC problems from the investigative perspective of world-renowned researchers. These prominent researchers include: -Heinz M hlenbein, -Kenneth De Jong, -Carlos Cotta and Pablo Moscato, -Lee Altenberg, -Gary A. Kochenberger, Fred Glover, Bahram Alidaee and Cesar Rego, -William G. Macready, -Christopher R. Stephens and Riccardo Poli, -Lothar M. Schmitt, -John R. Koza, Matthew J. Street and Martin A. Keane, -Vivek Balaraman, -Wolfgang Banzhaf and Julian Miller.
Frontiers of Evolutionary Computation is ideal for researchers and students who want to follow the process of EC problem-solving and for those who want to consider what frontiers still await their exploration.
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