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| Release | : 2009 |
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| Author | : Joe Tidd |
| Publisher | : World Scientific |
| Total Pages | : 446 |
| Release | : 2010-07-29 |
| Genre | : Business & Economics |
| ISBN | : 1908978511 |
Diffusion, or the widespread adoption of innovations, is a critical yet under-researched topic. There is a wide gap between development and successful adoption of an innovation. Therefore, a better understanding of why and how an innovation is adopted can help develop realistic management and business plans. Most books on this topic use a single-discipline approach to explain the diffusion of innovations. This book adopts a multi-disciplinary and managerial process approach to understanding and promoting the adoption of innovations, based on the latest research and practice. It will be of interest to graduates and researchers in marketing, product development and innovation courses./a
| Author | : Vijay Mahajan |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 376 |
| Release | : 2000-09-30 |
| Genre | : Business & Economics |
| ISBN | : 9780792377511 |
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.
| Author | : Mariangela Guidolin |
| Publisher | : John Wiley & Sons |
| Total Pages | : 228 |
| Release | : 2024-01-03 |
| Genre | : Mathematics |
| ISBN | : 1119756200 |
Innovation Diffusion Models Understand innovation diffusion models and their role in business success Innovation diffusion models are statistical models that predict the medium- and long-term sales performance of new products on a market. They account for numerous factors that contribute to the life cycle of a new product and are subject to continuous reassessment as markets transform and the business world becomes more complex. In a modern market environment where product life cycles are becoming ever shorter, the latest innovation diffusion models are essential for businesses looking to perfect their decision-making processes. Innovation Diffusion Models: Theory and Practice provides a comprehensive and up-to-date guide to these models and their potential to impact product development. It focuses on the latest product diffusion models, which combine time series analysis with nonlinear regression techniques to create increasingly refined predictions. Its combination of mathematical theory and business practice makes it an indispensable tool across many sectors of industry and commerce. Innovation Diffusion Models readers will also find: Real-world examples demonstrating the kinds of data sets generated by new product growth models and their potential applications Discussion of the factors underlying the decision to select a given growth model for a particular product Clear, detailed explanation of each model’s explanatory ability Innovation Diffusion Models is an essential volume for practitioners in any field of industry or commerce, as well as for graduate students and researchers in business and finance.
| Author | : Shishir Mukherjee |
| Publisher | : |
| Total Pages | : 42 |
| Release | : 1994 |
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| Author | : Scott Shane |
| Publisher | : John Wiley & Sons |
| Total Pages | : 514 |
| Release | : 2009-07-07 |
| Genre | : Business & Economics |
| ISBN | : 1405127910 |
This timely handbook represents the latest thinking in the field of technology and innovation management, with an up-to-date overview of the key developments in the field. The editor provides with a critical, introductory essay that establishes the theoretical framework for studying technology and innovation management The book will include 15-20 original essays by leading authors chosen for their key contribution to the field These chapters chart the important debates and theoretical issues under 3 or 4 thematic headings The handbook concludes with an essay by the Editor highlighting the emergent issues for research The book is targeted as a handbook for academics as well as a text for graduate courses in technology and innovation management
| Author | : Francesco Schiavone |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 114 |
| Release | : 2013-09-25 |
| Genre | : Business & Economics |
| ISBN | : 3319019023 |
This book focuses on the notion of “vintage innovation” and its application in various old technology-based communities of practice. Some communities of practice resist and react to technological change by adopting new technological products (“vintage products”) that extend the lifetime of their old, favored products and practices. There are a number of potential reasons for such strategic reactions, which are analyzed by the author. The book opens by reviewing the nature of technological change. Old technology-based communities of practice and their typical reactions to technological change are then discussed, and the concept of vintage innovation, introduced and explained. The book presents four case studies of communities of users in which vintage innovation emerged: analog photographers, radio amateurs, arcade videogame players, and disc jockeys.
| Author | : Venkatesh Shankar |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 529 |
| Release | : 2012 |
| Genre | : Business & Economics |
| ISBN | : 1781005222 |
This authoritative, comprehensive, and accessible volume by leading global experts provides a broad overview of marketing strategy issues and questions, including its evolution, competitor analysis, customer management, resource allocation, dynamics, branding, advertising, multichannel management, digital marketing and financial aspects of marketing. The Handbook comprises seven broad topics. Part I focuses on the conceptual and organizational aspects of marketing strategy while Part II deals with understanding competition. Customers and customer-based strategy, marketing strategy decisions, and branding and brand strategies are covered in the next three parts while Part VI looks at marketing strategy dynamics. The final part discusses the impact of marketing strategy on performance variables such as sales, market share, shareholder value and stakeholder value. All of the chapters in this Handbook offer in-depth analyses of research developments, provide frameworks for analyzing key issues, and highlight important unresolved problems in marketing strategy. Collectively, they provide a deep understanding of and key insights into the foundations, antecedents and consequences of marketing strategy. This compendium is an essential resource guide for researchers, doctoral students, practitioners, and consultants in the field of marketing strategy.
| Author | : Mo Li (Writer) |
| Publisher | : |
| Total Pages | : |
| Release | : 2012 |
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Although there is quite a rich literature relating to competitive innovation there is relatively little relating to technological collaboration. However, ignoring collaborative possibilities may result in overestimation of the importance of selfinnovation. This thesis is therefore mainly concerned with the determinants of collaboration in innovation, taking both a theoretical and an empirical approach. The empirics relate to the manufacturing industry in a Chinese region. The thesis is particularly innovative in emphasising how collaboration costs will be shared when collaboration occurs. We provide a game theoretic exploration of the decisions of firms on whether to compete or collaborate in the generation and adoption of a sequence of new technologies. Different from the models proposed by Vickers, who concentrates upon process innovation and a two-strategy (innovation or do nothing) set, our game theory model emphasises product innovation and either a three-strategy set (innovation, collaboration, and do nothing), or a fourstrategy set (innovation, collaboration, imitation and do nothing). In particular, MATLAB programming is employed for generating the equilibrium solution for each strategy set. We found that the relationship between imitation and collaboration and collaboration cost is not univariate. It depends upon the market type and various market characteristics, such as technology gap, technology level, the product substitution index, transaction costs and the discount rate of price sensitiveness. The results also show that the elasticity of collaboration opportunity with respect to transaction costs in a persistent dominance market is much greater than in an action reaction market. By using data on manufacturing in a Chinese region from 2005 to 2007, derived from the China Innovation Survey and the Annual Corporate Financial Survey, we empirically explored innovation and collaboration patterns. Three factors, innovative ability, absorptive capacity, and catching up capacity were proposed to positively affect both innovation and collaboration. This led to six hypotheses, which were tested using a number of econometric models encompassing selection bias, timing, and dynamics issues. The major finding from the empirical models suggests that innovative ability, absorptive capacity and catching up capacity all impact significantly and positively on collaboration, whilst innovation is positively related only to absorptive capacity. Also, we found that collaboration cost may increase with R&D, employees' education, the technology gap and collaboration cost in previous periods, but decrease with transaction cost, patents held, the technology level and perceived price. The thesis makes three contributions. Theoretically, our game theory model not only extends the understanding of the impacts of collaboration possibilities and collaboration cost in dynamic game theory, but also clarifies the impacts of transaction costs and imitation (and thus intellectual property rights (IPR)) on the outcome. Empirically, by introducing new data our work is the first to investigate collaboration patterns and collaboration cost sharing strategies in a mid-income level developing country. Last but not least, using MATLAB animation programming to simplify the calculation process of the game theory equilibrium may be considered as a methodological contribution.
| Author | : Everett M. Rogers |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2012 |
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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.
