This book aims to bind together latest theories on creation of innovative clusters and operating modalities, empirical analysis, and several new formal models describing cluster formation and dynamics. Another objective of the book is the analysis of the role of the innovative activities on the economic performances of the firm during the crisis, focusing the attention on the complementarities existing among the innovative dimensions, hypothesizing a positive role of integrated innovative strategies in increasing the firm resilience to the challenges brought by the economic crisis. The part of empirical analysis contains a comprehensive survey of different international legislation sources useful for deep studies of influential factors and peculiarities. In this book international statistical reports on economic activity and business cases of successful application of clusters model are described for Western Europe and BRIC. This book also presents authors findings in the domain of mathematical and simulation modeling of the major elements of cluster and innovation management.
This book aims to bind together latest theories on creation of innovative clusters and operating modalities, empirical analysis, and several new formal models describing cluster formation and dynamics. Another objective of the book is the analysis of the role of the innovative activities on the economic performances of the firm during the crisis, focusing the attention on the complementarities existing among the innovative dimensions, hypothesizing a positive role of integrated innovative strategies in increasing the firm resilience to the challenges brought by the economic crisis. The part of empirical analysis contains a comprehensive survey of different international legislation sources useful for deep studies of influential factors and peculiarities. In this book international statistical reports on economic activity and business cases of successful application of clusters model are described for Western Europe and BRIC. This book also presents authors findings in the domain of mathematical and simulation modeling of the major elements of cluster and innovation management.
This book focuses on the study of ontology-based models and methods used for the implementation of the evolution of external domain-specific languages (DSL), which are mainly intended for modelling the structure of human-machine interfaces. The primary goal of the approach is to increase the efficiency of support processes during the life cycle of general-purpose software systems. The book is structured in seven chapters. Chapter 1 presents the objectives and significance of the research, as well as a summary of the contents of the work. Chapter 2 analyses the existing classical DSL design and implementation methodology for modelling human-machine interfaces in the context of the lifecycle of general-purpose software systems. Next, chapter 3 is devoted to an analysis of existing methods and formalisms used in describing the structure of a DSL for modelling human-machine interfaces of software systems. Subsequently, chapter 4 provides a detailed description of the proposed new projection-based approach for developing such DSLs. Chapter 5 then describes the software implementation of the human-machine interface evolution based on an example of an external DSL in two domains. Eventually, chapter 6 analyses the application of the proposed projection approach for more complex systems, namely, decision support systems based on heterogeneous information of decision makers. The concluding chapter 7 summarizes the main results of the research and suggests further development paths and practical applications. The book is written for researchers in model-driven software development in general and in domain-specific language engineering in particular.
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