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This book presents a comprehensive study of adoption and diffusion of technology in developing countries in a historical perspective. Combining the development of growth trajectories of the Indian economy in general and its manufacturing industry in particular, the book highlights the effective marriage between qualitative and quantitative methods for a better understanding and explaining of many hidden dynamic behaviors of adoption and diffusion trend in manufacturing industry. The use of various econometric methods is aimed to equip readers to make a judgement of the current state of diffusion pattern of new technologies in India and simulate a desirable future pattern in view of the various pro-industrial growth policies.
The ongoing process of revising and rethinking the foundations of economic theory leads to great complexities and contradictions at the heart of economics. ‘Economics of innovation’ provides a fertile challenge to standard economics, and one that can help it overcome its many criticisms. This authoritative book from Cristiano Antonelli provides a systematic account of recent advances in the economics of innovation. By integrating this account with the economics of technological change, this exceptional book elaborates an understanding of the effects of the introduction of new technologies. This excellent, comprehensive account from respected expert Antonelli will be much appreciated within the innovation economics community, yet it is also a book that should be read by all those with either a private or professional interest in economic theory.
This volume presents a comprehensive assessment of the economic effects of the emerging information and communication technologies associated with a knowledge-based economy, and looks at how knowledge is increasingly treated as a product in its own right. An original framework is developed to comprehend these fundamental shifts, based on three bodies of knowledge: * the economics of path dependence and of historical time as they are elaborated in the economics of new technologies * economic topology based on the methodology of network analysis * the new economics of knowledge and the concept of localized technological change This book provides a unified analytical framework for the study of the transition of advanced economic systems towards a knowledge-based economy.
The Foundation of Complex Evolving Systems seeks to offer an integrated analysis of the anatomy and physiology of the capitalist engine of generation and exploitation of technological organizational and institutional innovations - from the drivers of knowledge accumulation, to the modes in which such knowledge is incorporated into business firms, all the way to the processes of innovation-driven "Schumpeterian competition" and macroeconomic growth. In that, it advances the interpretation of such patterns, in terms of economies seen as complex evolving systems. The basic objects of analysis are the history of the emergence and development of modern capitalist economies and their current functionings. Indeed , the tall ambition of the book is to address two basic questions at the core of the whole economic discipline since its inception. They regard, first, the drivers and patterns of change of the capitalistic machine of production and innovation and, second, the mechanisms of coordination among a multitude of self-seeking economic agents often characterized by conflicting interests. In order to do that, this Manual, in addition to the nature of technology and innovation, considers from a profoundly alternative perspective, all domains of analysis typically addressed (or not) by microeconomic texts, including micro behaviours, the theory of the firm, the theory of production, consumption patterns, market dynamics, and industrial evolution.
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.
Providing more than twice the content of the original edition, this new edition is the premier source on the selection, development, and provision of safe, high-quality, and cost-effective electric utility distribution systems, and it promises vast improvements in system reliability and layout by spanning every aspect of system planning including load forecasting, scheduling, performance, and economics. Responding to the evolving needs of electric utilities, Power Distribution Planning Reference Book presents an abundance of real-world examples, procedural and managerial issues, and engineering and analytical methodologies that are crucial to efficient and enhanced system performance.
"This book discusses theoretical aspects of gender issues in ICT and presents a number of case studies from various countries, covering topics such as social networking, ICT use among women, the digital divide, and theoretical approaches to gender gaps and ICT"--Provided by publisher.
What do economists know about land-and how they know? The Oxford Handbook of Land Economics describes the latest developments in the fields of economics that examine land, including natural resource economics, environmental economics, regional science, and urban economics. The handbook argues, first, that land is a theme that integrates these fields and second, that productive integration increasingly occurs not just within economics but also across disciplines. Greater recognition and integration stimulates cross-fertilization among the fields of land economics research. By providing a comprehensive survey of land-related work in several economics fields, this handbook provides the basic tools needed for economists to redefine the scope and focus of their work to better incorporate the contemporary thinking from other fields and to push out the frontiers of land economics. The first section presents recent advances in the analysis of major drivers of land use change, focusing on economic development and various land-use markets. The second section presents economic research on the environmental and socio-economic impacts of land use and land use change. The third section addresses six cutting-edge approaches for land economics research, including spatial econometric, simulation, and experimental methods. The section also includes a synthetic chapter critically reviewing methodological advances. The fourth section covers policy issues. Four chapters disentangle the economics of land conservation and preservation, while three chapters examine the economic analysis of the legal institutions of land use. These chapters focus on law and economic problems of permissible government control of land in the U.S. context.
This is the first book to comprehensibly describe how technology has shaped society and the environment over the last 200 years. It will be useful for researchers, as a textbook for graduate students, for people engaged in long-term policy planning in industry and government, for environmental activists, and for the wider public interested in history, technology, or environmental issues.
Product sales, especially for new products, are influenced by many factors. These factors are both internal and external to the selling organization, and are both controllable and uncontrollable. Due to the enormous complexity of such factors, it is not surprising that product failure rates are relatively high. Indeed, new product failure rates have variously been reported as between 40 and 90 percent. Despite this multitude of factors, marketing researchers have not been deterred from developing and designing techniques to predict or explain the levels of new product sales over time. The proliferation of the internet, the necessity or developing a road map to plan the launch and exit times of various generations of a product, and the shortening of product life cycles are challenging firms to investigate market penetration, or innovation diffusion, models. These models not only provide information on new product sales over time but also provide insight on the speed with which a new product is being accepted by various buying groups, such as those identified as innovators, early adopters, early majority, late majority, and laggards. New Product Diffusion Models aims to distill, synthesize, and integrate the best thinking that is currently available on the theory and practice of new product diffusion models. This state-of-the-art assessment includes contributions by individuals who have been at the forefront of developing and applying these models in industry. The book's twelve chapters are written by a combined total of thirty-two experts who together represent twenty-five different universities and other organizations in Australia, Europe, Hong Kong, Israel, and the United States. The book will be useful for researchers and students in marketing and technological forecasting, as well as those in other allied disciplines who study relevant aspects of innovation diffusion. Practitioners in high-tech and consumer durable industries should also gain new insights from New Product Diffusion Models. The book is divided into five parts: I. Overview; II. Strategic, Global, and Digital Environments for Diffusion Analysis; III. Diffusion Models; IV. Estimation and V. Applications and Software. The final section includes a PC-based software program developed by Gary L. Lilien and Arvind Rangaswamy (1998) to implement the Bass diffusion model. A case on high-definition television is included to illustrate the various features of the software. A free, 15-day trial access period for the updated software can be downloaded from http://www.mktgeng.com/diffusionbook. Among the book's many highlights are chapters addressing the implications posed by the internet, globalization, and production policies upon diffusion of new products and technologies in the population.