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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.
Including the category of proximity in theoretical considerations and empirical analyzes in cluster organizations is an attempt to integrate existing approaches to understand and explain the specificity of inter-organizational cooperation developed in geographical proximity. The importance of geographical proximity to create a competitive advantage is emphasized in all theories on the establishment and development of industrial clusters. However, proximity should not be perceived only in the geographical dimension. The similarity of knowledge systems (cognitive proximity), relationships based on trust (social proximity), organizational links (organizational proximity), and finally the similarity of institutional operating conditions (institutional proximity) enable and facilitate the development of cooperation relationships between business entities. Each of the above-mentioned threads deals separately with issues that have much in common, namely they can be treated as different dimensions of the same concept – proximity. Proximity provides a specific concretization of the features, processes and mechanisms underlying inter-organizational cooperation, and thus facilitates its understanding, increasing the possibility of its effective management. The study provides new important elements to the current system of knowledge, filling in the cognitive and research gaps in the scientific literature on problems related to proximity development in cluster organizations. The new element includes a multidimensional concept of proximity explaining its role in the development of cooperative relationships in the cluster organizations. A strong point of the developed concept is its inductive-abductive origin and the use of grounded theory methodology, which is rare in the studies of cluster organizations. The developed concept has also significant practical advantages since it allows to consciously shape proximity in COs, thus contributing to the development of cooperation between cluster enterprises.
Policies to stimulate innovation at national and local levels must both build on and contribute to the dynamics of innovative clusters. This book presents a series of papers written by policy makers and academic experts in the field, that demonstrate why and how this can be done.
This open access book covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm (DBS). DBS consists of the 3D landscape visualization and clustering of data. The 3D landscape enables 3D printing of high-dimensional data structures. The clustering and number of clusters or an absence of cluster structure are verified by the 3D landscape at a glance. DBS is the first swarm-based technique that shows emergent properties while exploiting concepts of swarm intelligence, self-organization and the Nash equilibrium concept from game theory. It results in the elimination of a global objective function and the setting of parameters. By downloading the R package DBS can be applied to data drawn from diverse research fields and used even by non-professionals in the field of data mining.
"In The Capacity to Innovate, Sarah Giest provides insight into the collaborative and absorptive capacities needed to provide public support to local innovation through cluster organizations. The book offers a detailed view of the vertical, multi-level, and horizontal dynamics in clusters and cluster policy and addresses how they are managed and supported. Using the biotechnology field as an example, Giest highlights challenges in the collaborative efforts of public bodies, private companies, and research institutes to establish a successful eco-system of innovation in this sector. The book argues that cluster policy in collaboration with cluster organizations should focus on absorptive and collaborative capacity elements missing in the cluster context in order to improve performance. Currently, governments operate at different levels--local to supranational--in order to support clusters, and cluster policies are often pursued in parallel to other programs. As the book shows, this can lead to uncoordinated efforts and ineffective cluster strategies. Relational dynamics are often overlooked when working backwards from performance indicators, since their effects are largely indirect but Giest demonstrates that both the cluster organization and the cluster eco-system play a role. The Capacity to Innovate advocates for a coordinated effort by government and cluster organizations to support capacity elements lacking within the specific cluster context."--
Organizational Change is a complex yet essential process for growth and development in business. The second edition of this insightful book examines the nature of this critical process in the light of the rapid changes in the business environment and intense global competition.The author revisits fundamental concepts, as well as presents new ideas, activities, and processes associated with how to plan, implement and manage effective transformational change. The book highlights:- The nature and process of transformational change and the paradigms basic to the change process- The basic concepts and strategic leverages of change- The need for and ways of aligning current tasks, systems, processes, and culture with organizational goals- The support systems required for change and the need to develop and maintain these systems- Ways of tuning organizations for change- Managing change through people by optimizing individual and group effortsSupported by numerous case studies and written in a lucid and reader-friendly style, this book will be a definitive guide for students, scholars, and practitioners.
From the perspective of institutionalism and theories of clusters, this book provides a concept of organized crime as an institutional cluster in contrast to the concept of multiple offences, associated with organized criminal groups or/and criminal organizations. The book offers shifts in the methodology of organized crime analysis and extrapolates the tools of cluster modelling – successfully approbated in the social and economic sciences as a method for the organization of spatially localized systems – to the criminological field. Such an approach gives a fresh view of organized crime essence and contributes to the deeper and more sophisticated understanding of organized crime modus operandi, as well as its influence on the social landscape. Organized crime in today’s world is increasingly moving from rigidly structured entities to decentralization with unclear, blurred edges and a hybrid structure, which is dictated by the rationality of adapting to social change, including the emergence of new widespread demands for illegal goods and services, new ways to evade social control, the prevalence of poly-criminal activities, the involvement in general digitalization, and so on. Specifically, the study is focused on the evolution of organized crime models in Ukraine considering the socioeconomic, political, and ideological background. Organized crime in Ukraine has gone through numerous transitions, encompassing professionally or traditionally organized criminal groups (the so-called community of ‘thieves in law’), functional racketeering groups, businessmen who accumulated their initial capital through the shadow economy, bureaucratically constructed groups from former official vertically powerful ruling circles, networks of personal or professional connections of the Soviet special services, oligarchic-clan pyramidal structures and amorphous delocalized cyber entities. This book also gives a broad picture of contemporary criminal clusters in Ukraine and an assessment of a full-scale war’s impact. Russia’s invasion on 24 February 2022 and massive hostilities provoked a turbulent situation for organized crime, resulting in the breaking of former criminal ties and the degradation of certain criminal and corrupt practices. At the same time, the war and the martial law regime created opportunities for organized crime in Ukraine to develop new illegal markets and relocate existing ones.