Seminar paper from the year 2008 in the subject Business economics - Business Management, Corporate Governance, grade: 2,3, Free University of Berlin (Fachbereich Wirtschaftswissenschaften ), course: Seminar Innovative Organization, language: English, abstract: Internationalization, shorter product life cycles and increasing complexity have lead to a situation in today’s world where organizations around the globe, on every level of the innovation process and in every industry, face increasing competition. Especially affected by these characteristics are high-tech industries, which are often characterized through a high rate of product novelties, cutting edge technology and rapidly changing industry standards. Examples for hightechnology industries that have been used in academic journal articles and that have been subject to empirical research are the robotic industry, the semiconductor industry and the optical disc industry. Especially in those industries organizations rely on constant and ongoing innovation to create and sustain competitive advantages and, therefore, to stay in business. Those innovative companies that constantly innovate and that are characterized through a high level of entrepreneurship can also be illustrated as “knowledge-creating companies” or “learning organization”. But what makes them so innovative? How do they choose an innovation style? How is innovation managed? My point in this paper will be that innovation management should be able to answerer the following three questions: “How?” Which innovation style is used “When?” On which level of the innovation process is a style used “Why?” Reason for the innovation style used on that level These questions seem to be most important since Fagerberg states in the introduction of the Oxford Handbook of Innovation: “In spite of the large amount of research in this area during the past fifty years, we know much less about why and how innovation occurs than what it leads to.” Additionally, the question of “when?” is added to conceptualize the innovation process into dependent innovation process levels that follow each other in a distinct order. To answerer these questions I will start with a general description of what innovation is, what exploration and exploitation are, I will describe the general setting in which organizations have to operate and what defines an innovative organization.

Seminar paper from the year 2008 in the subject Business economics - Business Management, Corporate Governance, grade: 2,3, Free University of Berlin (Fachbereich Wirtschaftswissenschaften ), course: Seminar Innovative Organization, language: English, abstract: Internationalization, shorter product life cycles and increasing complexity have lead to a situation in today's world where organizations around the globe, on every level of the innovation process and in every industry, face increasing competition. Especially affected by these characteristics are high-tech industries, which are often characterized through a high rate of product novelties, cutting edge technology and rapidly changing industry standards. Examples for hightechnology industries that have been used in academic journal articles and that have been subject to empirical research are the robotic industry, the semiconductor industry and the optical disc industry. Especially in those industries organizations rely on constant and ongoing innovation to create and sustain competitive advantages and, therefore, to stay in business. Those innovative companies that constantly innovate and that are characterized through a high level of entrepreneurship can also be illustrated as "knowledge-creating companies" or "learning organization". But what makes them so innovative? How do they choose an innovation style? How is innovation managed? My point in this paper will be that innovation management should be able to answerer the following three questions: "How?" Which innovation style is used "When?" On which level of the innovation process is a style used "Why?" Reason for the innovation style used on that level These questions seem to be most important since Fagerberg states in the introduction of the Oxford Handbook of Innovation: "In spite of the large amount of research in this area during the past fifty years, we know much less about why and how innovation occurs than what it leads to." Additionally, the q

Identifying the origins and evolution of innovation and project management, this unique Handbook explains why and how the two fields have grown and developed as separate disciplines, highlighting how and why they are now converging. It explores the theoretical and practical connections between the management of innovations and projects, examining the close relationship between the disciplines.

​Relying on the extensive study of a multi-national Company, this work proposes a process view of the way firms balance tensions between exploring new knowledge and exploiting old one. First, ideas are generated throughout the organization. These ideas are funneled towards specific project teams that further develop and refine them. Second, projects are assessed by the top management. Agreed projects are then progressively transformed into exploitable products, following a transformative learning process. We then make propositions regarding the role information systems can play in sustaining this process. Regarding the first phase of the cycle, we will focus on systems that help in sustaining idea generation and in balancing explorative and exploitive projects in the technologies portfolio of the firm. Regarding the second phase, we will look at information systems that could be useful in supporting knowledge transfer and knowledge interpretation across a multi-national company.​​

Featuring contributions from prominent thinkers and researchers, this volume in the "Advances in Management Information Systems" series provides a rich set of conceptual, empirical, and introspective studies that epitomize fundamental knowledge in the area of Business Process Transformation. Processes are interpreted broadly to include operational and managerial processes within and between organizations, as well as those involved in knowledge generation. Transformation includes radical and incremental change, its conduct, management, and outcome. The editors and contributing authors pay close attention to the role of IS organizations and information technologies in facilitating business process transformation. Each chapter places major emphasis on clearly articulating the "knowledge" generated, both theoretical and applied. The book incorporates case studies and tables throughout, and provides fundamental grounding for any stakeholder of business process transformation.

This book examines current and emerging challenges in manufacturing related to the ideal of developing production processes with variability and agility on one level of the system, combined with structures ensuring stability and robustness on another level; close to what by other scholars has been discussed in terms of continuous innovation. However, this ideal has proven to be difficult to achieve in practice, and there is a need for enhanced and more sophisticated theoretical models dealing with the complexity surrounding organizational conditions to foster incremental as well as radical change in production systems, and, at the same time to ensure stability over time. As a theoretical frame of reference, a perspective on change where conflicting demands and conflicting activities, e.g., exploration and exploitation, are seen as intertwined and interdependent, is used throughout the book. The ideal from this perspective is to make use of such conflicting forces and to develop the change dynamics by keeping them in the same social system, not to structurally separate them in different departments or different initiatives. The main purpose of the book is to address an increased need for quality improvement through innovation and disruptive change in production. Traditional theories and managerial models of production systems are developed with a focus on stability and improvement. There is a need for enhanced models to reach an ability to develop new future production systems. The goal of the book is to provide nuances and new perspectives giving more realistic models of the production system to be able to increase the change potentiality of the organization and thus the long-term competiveness. Learning and organizational perspectives are in focus as enablers to increase the understanding of a production system as such. Long-term competitiveness through adaptability and the potential for radical improvement is of importance throughout the book. The use of dualities and the concept of ambidextrous organizations as a frame of understanding is the innovative strength for this area.

This book offers a comprehensive overview of the dynamics underpinning the successful performance of local innovation systems (LIS), that is, spatial concentration of innovation activities in specific geographical areas, characterized by the synergetic co-localization of research centers, innovation-driven enterprises, large corporations and capital providers. The reader will gain a deeper knowledge of LIS theory and learn about the theoretical and empirical challenges of studying the LIS from a relational perspective. The book also provides an analytical framework to explore the level of connectivity among LIS actors through the use of social network analysis (network architecture) and second, to assess the variety of different types of relationships that local actors put in place to produce innovation within the LIS (network portfolio). More specifically, this book explores which network configuration is associated with a successful LIS by deriving evidence from the empirical study of the biopharma LIS in the Greater Boston Area (GBA), which has been exemplified as a benchmark case in terms of successful LIS performance. This book also contributes to the theoretical debate about the optimal configuration of network structure (e.g. network closure vs. network openness). In capturing the heterogeneous nature of the LIS demography, it addresses the challenges brought about by the adoption of a holistic approach. Finally, the study provides insights into the network portfolio composition, which has been underexplored by extant literature. Besides addressing the scientific community in the field, this book will also be a valuable resource with practical implications for policymakers and those actors willing to undertake an active role in the development of an LIS in their own regions.