One-size-fits-all cluster policies have been rightly criticized in the literature. One promising approach is to focus cluster policies on the specific needs of firms depending on the stage of development (emergence, growth, sustainment or decline) their cluster is in. In this highly insightful book, these stage-specific cluster policies are analysed and evaluated. Moreover, several chapters also focus on smart specialization policies to promote regional development by taking into account the emergence and adaptation of clusters and industries.

This book studies the determinants of cluster survival by analyzing their adaptability to change in the economic environment. Linking theoretic knowledge with empirical observations, a simulation model (based in the N/K method) is developed, which explains when and why the cluster's architecture assists or hampers adaptability. It is found that architectures with intermediate degrees of division of labor and more collective governance forms foster adaptability.

This book investigates cluster-life-cycle (CLC) analysis to inform the entrepreneurial discovery process (EDP), in order to support the effectiveness of the smart specialization strategy (S3). It focuses on the evolutionary analysis of clusters’ development stages (emergence, development, maturity, decline/transformation), highlighting how different phases of the CLC have a different role in informing S3-policy-making and identifying regions’ potentials to specialize. In so doing, it offers an original conceptual model that explains what information can be provided by CLC analysis in the effective design and implementation of S3 and EDP, systematizes clusters' stage-specific features, and unveils the role played by each CLC stage. It contributes to the emerging academic debate on the role of the CLC concept in policy-making, by highlighting the importance of CLC analysis in dynamically investigating regional contexts and tailoring development policies such as S3. The book is an invaluable resource for academics and regional policy makers, providing them with guidance and recommendations on how to effectively approach the design and implementation of S3 and EDP, by fully tapping the potential of CLC analysis.

Cluster organizations are becoming more and more popular, both in developing and developed countries. Considering the development of cluster policy and the related dynamic growth of cluster initiatives in the world, the lack of sufficient knowledge on the development of cooperation in cluster organizations inhibits their development and, in many cases, causes their complete disintegration. The book provides new important elements to the current system of knowledge, filling in cognitive and research gaps in the scientific literature on problems related to cooperation in cluster organizations. The most valuable features for the reader concern the epistemological, methodological, and application aspects. The new element includes a theoretical concept, which refers to the trajectory of development of cooperative relationships in cluster organizations that facilitates the understanding and explanation of mechanisms responsible for cooperation in such organizations. The concept also has great practical advantages, especially for people implementing the idea of "clustering": coordinators, facilitators, and members of cluster organizations as well as politicians and public authorities are responsible for shaping and implementing the cluster policy. It will be of value to researchers, academics, and students in fields with an interest in organizational studies, management of innovation and technology, strategic management, industrial economics, and economic geography.

Various theories have been put forward as to why business and industry develops in clusters and despite good work being carried out on path dependence and dynamics, this is still very much an emerging topic in the social sciences. To date, no overarching theoretical framework has been developed to show how clusters evolve. Unfolding Cluster Evolution aims to address this gap by presenting theoretical and empirical research on the geography of innovation. This contributed volume seeks to shed light on the understanding of clusters and its dynamic evolution. The book provides evidence to suggest that traditional perspectives from evolutionary economic geography need to be wedded to management thinking in order to reach this point. Bringing together thinking from a range of disciplines and countries across Europe, this book explores a wide range of topics from the capability approach, to network dynamics, to multinational corporations, to firm entry and exit and social capital. This book will be of interest to policy makers and students of urban studies, economic geography, and planning and development.

'This well-edited volume should be on the shelf of every regional development agency library. Its seventeen chapters written by 31 predominantly academic contributors are divided into four coherent sections: the first on cluster and network modelling, the next on empirical analysis, a third on case studies, finishing with two chapters on policy analysis and strategies.' - Tony Jackson, Journal of Economic Development This book provides a state-of-the-art overview of spatial industrial clusters and inter-firm networks. Given the prevailing political belief that clusters can be a major vehicle for economic development and growth, it is important to have a sound understanding of clusters and how they emerge, grow, eventually stagnate and disappear. It is also vital to know when and how to apply policy measures to support cluster development in order to increase economic welfare. This book illuminates both the theoretical and empirical issues relating to clusters and inter-firm networks, and presents a number of interesting case studies from a variety of different countries.

This book demonstrates how quantitative methods for text analysis can successfully combine with qualitative methods in the study of different disciplines of the Humanities and Social Sciences (HSS). The book focuses on learning about the evolution of ideas of HSS disciplines through a distant reading of the contents conveyed by scientific literature, in order to retrieve the most relevant topics being debated over time. Quantitative methods, statistical techniques and software packages are used to identify and study the main subject matters of a discipline from raw textual data, both in the past and today. The book also deals with the concept of quality of life of words and aims to foster a discussion about the life cycle of scientific ideas. Textual data retrieved from large corpora pose interesting challenges for any data analysis method and today represent a growing area of research in many fields. New problems emerge from the growing availability of large databases and new methods are needed to retrieve significant information from those large information sources. This book can be used to explain how quantitative methods can be part of the research instrumentation and the "toolbox" of scholars of Humanities and Social Sciences. The book contains numerous examples and a description of the main methods in use, with references to literature and available software. Most of the chapters of the book have been written in a non-technical language for HSS researchers without mathematical, computer or statistical backgrounds.

In Entrepreneurship, Innovation and Business Clusters, Panos Piperopoulos provides a comprehensive introduction to what entrepreneurship is all about, how and why entrepreneurs innovate and how innovation systems operate. Small and medium enterprises (SMEs) constitute the backbone of most economies, so the author examines their characteristics and the crucial role played by the owners and entrepreneurs who innovate to ensure the survival and continued growth of their firms. He also includes the particular phenomena that arise where the entrepreneurs are either female or from ethnic groups, or where the context is that of a developing region or country. The importance of co-operative strategic alliances and networks between firms is discussed, along with how these strengthen SMEs' competitiveness. The concept of open innovation has been proposed as a new paradigm for the management of innovation and the author presents a hypothetical model for enhancing the competitiveness and performance of SMEs by properly utilizing employees' creative potential, emotional intelligence, tacit knowledge and innovative ideas. The contemporary model of business clusters, involving partnerships with competitors, agents, universities, research centres and local, regional and national governments is discussed. The ways, means and methods through which SMEs' competitiveness and innovation can be enhanced within business clusters is illustrated by cases that identify four types of SMEs, that behave differently and play different roles in the networks and clusters of which they form a part, but all of whose performance and competitiveness is a function of their position and role in the wider scheme of things.

“Strategic International Management” takes a global perspective and covers the major aspects of international business strategies, the coordination of international companies and the particularities of international value chain activities and management functions. The book provides a thorough understanding of how Production & Sourcing, Research & Development, Marketing, Human Resource Management and Controlling have to be designed in an international company and what models are available to understand those activities in an international context. The book offers 20 lessons that provide a comprehensive overview of all key issues. Each lesson is accompanied by a case study from an international company to facilitate the understanding of all important factors involved in strategic international management. In this second edition, all chapters have been updated, all case studies revised and recent data were integrated. The concept, though, remained unchanged.