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The concept of innovation is the result of human activities carried out to produce a new product, service or something new that creates value. More recently, the idea of an innovative enterprise, organization or company has emerged, thanks to an increasing interest in innovation as an essential process in a variety of economic, technological and sociological contexts. This book is part of a set on Innovation between Risk and Reward and focuses on the close relationship between innovation and knowledge. It provides the reader with the outline of an innovative company, focusing on the organizational aspects that contribute to defining it and sketching out the profile of what an innovative company is or should be in the age of knowledge. The authors explore the literary corpus in order to outline the state of the art but also the reality of innovative enterprise in the form of meetings and interviews with both large and small companies.

A multidisciplinary approach to problem-solving in community-based organizations using decision models and operations research applications A comprehensive treatment of public-sector operations research and management science, Decision Science for Housing and Community Development: Localized and Evidence-Based Responses to Distressed Housing and Blighted Communities addresses critical problems in urban housing and community development through a diverse set of decision models and applications. The book represents a bridge between theory and practice and is a source of collaboration between decision and data scientists and planners, advocates, and community practitioners. The book is motivated by the needs of community-based organizations to respond to neighborhood economic and social distress, represented by foreclosed, abandoned, and blighted housing, through community organizing, service provision, and local development. The book emphasizes analytic approaches that increase the ability of local practitioners to act quickly, thoughtfully, and effectively. By doing so, practitioners can design and implement responses that reflect stakeholder values associated with healthy and sustainable communities; that benefit from increased organizational capacity for evidence-based responses; and that result in solutions that represent improvements over the status quo according to multiple social outcome measures. Featuring quantitative and qualitative analytic methods as well as prescriptive and exploratory decision modeling, the book also includes: Discussions of the principles of decision theory and descriptive analysis to describe ways to identify and quantify values and objectives for community development Mathematical programming applications for real-world problem solving in foreclosed housing acquisition and redevelopment Applications of case studies and community-engaged research principles to analytics and decision modeling Decision Science for Housing and Community Development: Localized and Evidence-Based Responses to Distressed Housing and Blighted Communities is an ideal textbook for upper-undergraduate and graduate-level courses in decision models and applications; humanitarian logistics; nonprofit operations management; urban operations research; public economics; performance management; urban studies; public policy; urban and regional planning; and systems design and optimization. The book is also an excellent reference for academics, researchers, and practitioners in operations research, management science, operations management, systems engineering, policy analysis, city planning, and data analytics.

Practical and conceptual, the Responsible Research and Innovation set of books contributes to the clarification of this new requirement for all sciences and technological innovation. It covers the multiple and international responsibilities, by using various philosophical resources, mostly discussing the following topics: ethics, contingency, normative economy, freedom, corporate social responsibility (CSR), participative technological evaluation, sustainable development, geoengineering, the precautionary principle, standards, interdisciplinarity, and climate management. The ethics of efficiency must be considered with regard to the logic of action or to economic, political, legal or scientific systems. This book presents a question on the central theme of responsible research and innovation (RRI), which has an ethical influence on effective logics. The issue is to question the opportunity and modularities of an ethical effective influence on the logics of efficiency of research and innovation. From the distinction of efficiency and effectiveness, lies the problem of efficacy, the ethical accord between the two. Thus appears the possibility of taking effective responsibility with respect to systematic injustices potentially linked to this efficiency. This book proposes categories to understand the ethical implications of research and innovation processes, under the aspect of their efficacy.

In presenting the concepts and the logical structure of the reasoning offered by game theory and their applications, the book explains the rational process of decision making in the framework of firm management and market competition. The book will expose both general teachings and a comprehensive analysis applied to specific case studies of various sectors of the economy.

This book urges us to be creative in our way of thinking about innovation. Adopting an artificial perspective, the author emphasizes creative rationality: a form of thought that encourages knowledge crossing and invites an adventurous transgression. The question of how such a form of thought might be developed is addressed through a detailed examination of the educational system. The book frees itself from many of the myths that surround innovation, including the predominance of what the author calls the linear and hierarchical model.

Thoroughly grounded in an extensive body of international research and analysis, this book investigates the concepts surrounding a firm’s knowledge capital. These concepts play an integral part in the evolution of economic and managerial thinking, particularly in relation to the themes of firm, knowledge and innovation. The author advocates a greater socialization of the production of knowledge capital that stands in contradiction to the strong appropriation strategies that are predominant today. This book presents a historical analysis of the facts with a strong basis in the recent literature in economics and innovation management as well as in case studies of CAC 40 companies that have been conducted over the course of the past few years.

The patent system is criticized today by some practitioners and economists. In fact, there is a partial disconnection between patent demographics and productivity gains, but also the development of actors who do not innovate and who develop business models that their detractors equate with a capture of annuities or a dangerous commodification of patents. This book provides a less Manichaean view of the position of patents in the system of contemporary innovation. It first recalls that these criticisms are not new, before arguing that if these criticisms have been revived, it is because of a partial shift from an integrated innovation system to a much more fragmented and open system. This shift accompanied the promotion of a more competitive economy. The authors show that this movement is coherent with a more intensive use of patents, but also one that is more focused on their signal function than on their function of direct monetary incentive to innovation.

The book investigates the meaning of RRI if little or no valid knowledge about consequences of innovation and technology is available. It proposes a hermeneutical turn to investigate narratives about possible futures with respect to their contemporary meaning instead of regarding them as anticipations of the future.

This book focuses on the challenges of competition in television broadcasting markets. How is the evolution from a two-sided market to platform economics reshaping competition in television broadcasting? How are new market dynamics changing competition for content creation and acquisition and the revenue streams? Will content remain king? Or will new competitive dynamics undermine the sustainable creation of high quality content, especially in small media markets?

Fantasy and science fiction are both involved in the process of innovation in techno-scientific societies. Long regarded as a hindrance to rationality, and to science, science fiction has become the object of praise in recent decades. Innovative organizations use science fiction to stimulate the creativity of their teams, and more and more entrepreneurs are using its influence to develop innovation. Scientific practice relies in part on an imaginary dimension. The mapping of the technical imagination of science fiction has become an important strategic issue, as has its patentability. The conquest of space, the construction of cyberspace and virtual reality, biotechnologies and nanotechnologies are all at the center of futuristic fictions that participate in scientific speeches and discoveries.

Features of statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting-edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data-driven healthcare analytics in an effort to provide more personalized and smarter healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance healthcare quality and operational efficiency. Organized into two main sections, Part I features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient-monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part II focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician–patient interactions; insurance claims; and the role of social media in healthcare. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features: • Contributions from well-known international experts who shed light on new approaches in this growing area • Discussions on contemporary methods and techniques to address the handling of rich and large-scale healthcare data as well as the overall optimization of healthcare system operations • Numerous real-world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry • Plentiful applications that showcase analytical methods and tools tailored for successful healthcare systems modeling and improvement The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate-level courses typically offered within operations research, industrial engineering, business, and public health departments. HUI YANG, PhD, is Associate Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University. His research interests include sensor-based modeling and analysis of complex systems for process monitoring/control; system diagnostics/ prognostics; quality improvement; and performance optimization with special focus on nonlinear stochastic dynamics and the resulting chaotic, recurrence, self-organizing behaviors. EVA K. LEE, PhD, is Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology, Director of the Center for Operations Research in Medicine and HealthCare, and Distinguished Scholar in Health System, Health Systems Institute at both Emory University School of Medicine and Georgia Institute of Technology. Her research interests include health-risk prediction; early disease prediction and diagnosis; optimal treatment strategies and drug delivery; healthcare outcome analysis and treatment prediction; public health and medical preparedness; large-scale healthcare/medical decision analysis and quality improvement; clinical translational

Responsible Research and Innovation appears as a paradoxical frame, hard to conceptualize and difficult to apply. If on the one hand research and innovation appear to follow logics blind to societal issues, responsibility is still a blurred concept interpreted according to circumstances. Different perspectives are implied in the RRI discourse rendering difficult also its application, because each social dimension proposes a different path for its implementation. This book will try to indicate how such conflictual understanding of RRI is caused by a reductive interpretation of ethics and, consequently, of responsibility. The resulting framework will represent an ethical approach to RRI that could help in overcoming conflictual perspectives and construct a multi-layer approach to research and innovation.

Discover recent powerful advances in the theory, methods, and applications of decision and risk analysis Focusing on modern advances and innovations in the field of decision analysis (DA), Breakthroughs in Decision Science and Risk Analysis presents theories and methods for making, improving, and learning from significant practical decisions. The book explains these new methods and important applications in an accessible and stimulating style for readers from multiple backgrounds, including psychology, economics, statistics, engineering, risk analysis, operations research, and management science. Highlighting topics not conventionally found in DA textbooks, the book illustrates genuine advances in practical decision science, including developments and trends that depart from, or break with, the standard axiomatic DA paradigm in fundamental and useful ways. The book features methods for coping with realistic decision-making challenges such as online adaptive learning algorithms, innovations in robust decision-making, and the use of a variety of models to explain available data and recommend actions. In addition, the book illustrates how these techniques can be applied to dramatically improve risk management decisions. Breakthroughs in Decision Science and Risk Analysis also includes: An emphasis on new approaches rather than only classical and traditional ideas Discussions of how decision and risk analysis can be applied to improve high-stakes policy and management decisions Coverage of the potential value and realism of decision science within applications in financial, health, safety, environmental, business, engineering, and security risk management Innovative methods for deciding what actions to take when decision problems are not completely known or described or when useful probabilities cannot be specified Recent breakthroughs in the psychology and brain science of risky decisions, mathematical foundations and techniques, and integration with learning and pattern recognition methods from computational intelligence Breakthroughs in Decision Science and Risk Analysis is an ideal reference for researchers, consultants, and practitioners in the fields of decision science, operations research, business, management science, engineering, statistics, and mathematics. The book is also an appropriate guide for managers, analysts, and decision and policy makers in the areas of finance, health and safety, environment, business, engineering, and security risk management.

This book presents the economic theories with regards to the entrepreneur of yesterday and those of more recent years, on which issue research has been developing exponentially since the last third of the 20th Century. Much of this book will be devoted to contemporary theories. This presentation of economic theories of the entrepreneur leads us to wonder about the structural development of the free enterprise system in the short and the long term. The proliferation of entrepreneurial initiatives leads in effect to a profound transformation of modes of production and work, for example under the current phenomenon of uberization economy.

Risk management practices are growing both in number and complexity in businesses, notably driven by new regulatory standards that feature risk management at their core. Although large businesses are more likely to adopt a formal, holistic approach to risk management, the stakes are just as high for SMEs. Risk management in SMEs can contribute to a certain organizational, entrepreneurial and partnership dynamic which constitutes a real opportunity to evolve practices and improve performance. This book offers varied responses to this question by combining conceptual approaches, empirical illustrations and the associated managerial implications.

The World is changing and then also how enterprises carry out innovation needs to change. The book presents new methods and tools (from Creativity to Engineering), aimed at promoting and sustaining enterprise innovation and production improvement. The book is primarily (but not exclusively) based on the new approaches, methods, frameworks, and tools conceived for enterprise innovation and production improvement, developed during the European Project BIVEE (Business Innovation for Virtual Enterprise Ecosystems.) Addressed topics range from Open Innovation in Virtual Enterprises to shared virtual spaces for collaborative creativity, to Innovation metrics and monitoring in the context of networked SMEs.

Faced with ever-increasing complexity on a daily basis, the decision-makers of today are struggling to find the appropriate models, methods and tools to face the issues arising in complex systems across all levels of global operations. Having, in the past, resorted to outdated approaches which limit problem-solving to linear world views, we must now capitalize on complexities in order to succeed and progress in our society. This book provides a guide to harnessing the wealth inherent to complex systems. It organizes the transition to complex decision-making in all business spheres while providing many examples in various application domains. The authors offer fresh developments for understanding and mastering the global “uberization” of the economy, the post-modern management of computer-assisted production and the rise of cognitive robotics science applications.

In an uncertain economy where business risk is significant, the company tends to rely more on its environment than to invest, for example, in all steps of technological creation; This can be explained by the fact that investments in the acquisition (ownership) of production resources are less expensive than those implied in the formation of these resources; which also explains the attractiveness (in an open economy) of regions with abundant scientific and technical resources. To understand and analyze the innovation process in order to better design and launch new goods, services and technologies, one has to consider the creative dimension of the individual, the business and the organization in general. In new approaches to innovation, the entrepreneur and the company are analyzed through their skills, and their function of resource generation; Innovation thus becomes endogenous, gradual or radical, integrated in a complex process with many feedbacks and interactions. The innovative organization (small or large) is presented in this book as a dynamic system composed of specific and diverse skills (including those of the contractor, engineers or managers). By acquiring, combining and mobilizing these skills, the innovative agent (entrepreneur or company) can create technological resources and develop relations with its environment. Hence the importance of management in design, implementation, protection of intellectual property as well as of the development of new goods, services and technology, commercial and organizational models.

This book, the first of two volumes dedicated to ethics in social networking and business, presents the notions, theories and practical aspects related to ethics, morale and deontology in our society. Through a series of discussions and examples on topics ranging from complexity to evolution theories, the author provides an insight into why business ethics is essential for managing risks and uncertainties. The Ethics in Social Networking and Business series is the result of a cross-integration of real experiences (from IBM, society and the Rotary Club), transdisciplinary works in decision making, and advances at the boundaries of several scientific fields.

This title enriches both areas of research, finance and international management to analyze the choice of location and value creation in mergers and acquisitions. Our research answers the following question: What are the determinants of the location and value creation in mergers and acquisitions?