Theory Of Innovation

The current economic theory of innovation mainly analyses the technology factor and its impact on economic growth. In today's world, growth in information technology and knowledge of new ideas has altered the business paradigm dramatically. Modern economies have undergone a dynamic shift from material manufacturing to a new information technology model with research and development (R&D) and human capital. Through information and communications technology efficient information usage has achieved substantial productivity gains through learning by doing and incremental innovations. The present volume discusses this new paradigm in terms of both theory and industry applications, including Schumpeter in his innovation model and the emphasis on new innovations replacing the old. Growth of business networking and R&D consortium have dramatically helped the modern business to reduce their unit costs and improve efficiency. This volume presents some new models emphasizing knowledge sharing and R&D cooperation. Rapid growth in recent times in some south Asian countries have been cited as growth miracles are largely caused by knowledge spillover and learning by doing, and this volume also investigates the role of incremental innovations. With a strong focus and extension of the current theory of innovation and industry growth experiences of both the US and Asian countries, this book will be of interest to MBA and graduate students in economics, innovation management, and applied industrial economics.

A how-to-guide to get others in your organization to accept new technologies, processes, regulations, management, etc.

'National Systems of Innovation' presents a new perspective on the dynamics of the national and the global economy. Its starting point is that the international competitiveness of nations is founded on innovation. Which role do different parts of the national system play in determining the long-term dynamics of the economy? What is happening to the coherence of national systems of innovation in an era characterised by far-reaching internationalisation and globalisation? These and other issues are addressed in this volume. Available for the first time in paperback, the book is an invaluable resource for scholars and policy-makers.

With the increasingly complex and ubiquitous data available through modern technology, digital information is being utilized daily by academics and professionals of all disciplines and career paths. Information Seeking Behavior and Technology Adoption: Theories and Trends brings together the many theories and meta-theories that make information science relevant across different disciplines. Highlighting theories that had their base in the early days of text-based information and expanding to the digitization of the Internet, this book is an essential reference source for those involved in the education and training of the next-generation of information science professionals, as well as those who are currently working on the design and development of our current information products, systems, and services.

Competencies are a component of human capital and one of the most important assets of an enterprise. They play an important role in strengthening the position of the company in a competitive market. Investing in the development of competencies increases the organisation's ability to grow and compete through innovations. This book presents a multi-dimensional analysis of the relationship between managerial competencies and innovations. It analyses the role of a manager in a modern organisation, functions performed by managers, management styles and key challenges, including shaping behaviour in the process of managing change in an organisation, as well as an analysis of the structure of competencies, in particular managerial competencies, and the conditions of the process of forming managerial competencies. Management Theory, Innovation and Organisation: A Model of Managerial Competencies illustrates the organisational conditions of innovativeness, which is the relationship between strategy, structure, organisational culture and leadership and knowledge management and innovation management. The developed model can undoubtedly be considered the author’s pioneering contribution to the studies of managerial competencies and innovativeness. The book will be valuable to researchers, students, and managers in the fields of leadership, organizational studies, innovation management, and human resource management.

This book explores intra-team interaction in workplace settings devoted to technological breakthroughs and innovative entrepreneurship. The first set of studies to investigate these economically important institutions through the lens of talk-at-work, this book begins by discussing the ethnomethodological traditions of Conversation Analysis and institutional interaction and linking them to innovation and entrepreneurship. The book offers rich and detailed empirical accounts of teams talking new technologies and new ventures into being. By focusing on the observable language of teams in action, the book reveals the situated practices that teams use to enact their work, including the means by which team members verbally grapple with the uncertainties inherent in doing work in uncharted domains. The book presents important findings about the conversational accomplishment of work and demonstrates the value of examining the practices of teams in action. A valuable contribution to studies of talk-in-interaction, as well as entrepreneurship-as-practice, this book can help to bridge the gap between scholarly investigations and the practical experiences of entrepreneurs. The author closes by considering the ways that practice-based studies of entrepreneurial work can improve issues of diversity and inclusion within the entrepreneurial ecosystem. This book is intended to serve as an invaluable sourcebook for scholars and students interested in innovation, entrepreneurship, and organizations as well as those focused on applied Conversation Analysis. The book’s insights are presented in a richly detailed manner while remaining accessible to readers who are new to the methodologies and activity contexts.

Getting an innovation adopted is difficult; a common problem is increasing the rate of its diffusion. Diffusion is the communication of an innovation through certain channels over time among members of a social system. It is a communication whose messages are concerned with new ideas; it is a process where participants create and share information to achieve a mutual understanding. Initial chapters of the book discuss the history of diffusion research, some major criticisms of diffusion research, and the meta-research procedures used in the book. This text is the third edition of this well-respected work. The first edition was published in 1962, and the fifth edition in 2003. The book's theoretical framework relies on the concepts of information and uncertainty. Uncertainty is the degree to which alternatives are perceived with respect to an event and the relative probabilities of these alternatives; uncertainty implies a lack of predictability and motivates an individual to seek information. A technological innovation embodies information, thus reducing uncertainty. Information affects uncertainty in a situation where a choice exists among alternatives; information about a technological innovation can be software information or innovation-evaluation information. An innovation is an idea, practice, or object that is perceived as new by an individual or an other unit of adoption; innovation presents an individual or organization with a new alternative(s) or new means of solving problems. Whether new alternatives are superior is not precisely known by problem solvers. Thus people seek new information. Information about new ideas is exchanged through a process of convergence involving interpersonal networks. Thus, diffusion of innovations is a social process that communicates perceived information about a new idea; it produces an alteration in the structure and function of a social system, producing social consequences. Diffusion has four elements: (1) an innovation that is perceived as new, (2) communication channels, (3) time, and (4) a social system (members jointly solving to accomplish a common goal). Diffusion systems can be centralized or decentralized. The innovation-development process has five steps passing from recognition of a need, through R&D, commercialization, diffusions and adoption, to consequences. Time enters the diffusion process in three ways: (1) innovation-decision process, (2) innovativeness, and (3) rate of the innovation's adoption. The innovation-decision process is an information-seeking and information-processing activity that motivates an individual to reduce uncertainty about the (dis)advantages of the innovation. There are five steps in the process: (1) knowledge for an adoption/rejection/implementation decision; (2) persuasion to form an attitude, (3) decision, (4) implementation, and (5) confirmation (reinforcement or rejection). Innovations can also be re-invented (changed or modified) by the user. The innovation-decision period is the time required to pass through the innovation-decision process. Rates of adoption of an innovation depend on (and can be predicted by) how its characteristics are perceived in terms of relative advantage, compatibility, complexity, trialability, and observability. The diffusion effect is the increasing, cumulative pressure from interpersonal networks to adopt (or reject) an innovation. Overadoption is an innovation's adoption when experts suggest its rejection. Diffusion networks convey innovation-evaluation information to decrease uncertainty about an idea's use. The heart of the diffusion process is the modeling and imitation by potential adopters of their network partners who have adopted already. Change agents influence innovation decisions in a direction deemed desirable. Opinion leadership is the degree individuals influence others' attitudes.

This comprehensive book synthesizes research from the past 50 years of innovation studies, addressing the main elements and providing a connected perspective on innovation within organizations. It explores the generation and adoption of both technological and nontechnological innovations, offering a coherent and systematic view of the process. Fariborz Damanpour examines innovation activity and internal mechanisms and processes in both business and nonbusiness organizations, providing an overview of key concepts, terms, and theory. Insights from behavioral, economic, and structure-based perspectives are used to explain existing findings and help the reader navigate current research on the management of innovation, as well as offering ideas and frameworks to guide new studies. Organizational Innovationwill be an invaluable resource for researchers and graduate-level students of management and organization studies, particularly those working on the management of innovation and technology. It will also prove useful to educators in the field as a reference work for students.