I am gratified that there is sufficient interest in the subject matter so as to support the offering of a second edition of this monograph. The of differential games dynamic interpretation and game theoretic foundation form a powerful and vital methodology for helping us study and understand marketing competition. This second edition offers a blend of what proved to be successful with the first edition and new material. The first two chapters, reviewing empirical and modeling research, have been updated to include contributions in the last decade that have advanced the area. I have not changed the essential content in the duopoly analyses in chapters 3, 4, and 5. A notable addition to the present edition are the new chapters, 6, 7, and 8, which offer analysis of three triopoly models. In the final chapter, I offer my summary view of the area and hope for continued contributions. I want to express my appreciation for the support of Josh Eliashberg, editor of the International Series in Quantitative Marketing, as well as Zachary Rolnik, Director, and David Cella, Publishing Editor, of Kluwer. Their encouragement has provided crucial motivation in this endeavor.

I am gratified that there is sufficient interest in the subject matter so as to support the offering of a second edition of this monograph. The of differential games dynamic interpretation and game theoretic foundation form a powerful and vital methodology for helping us study and understand marketing competition. This second edition offers a blend of what proved to be successful with the first edition and new material. The first two chapters, reviewing empirical and modeling research, have been updated to include contributions in the last decade that have advanced the area. I have not changed the essential content in the duopoly analyses in chapters 3, 4, and 5. A notable addition to the present edition are the new chapters, 6, 7, and 8, which offer analysis of three triopoly models. In the final chapter, I offer my summary view of the area and hope for continued contributions. I want to express my appreciation for the support of Josh Eliashberg, editor of the International Series in Quantitative Marketing, as well as Zachary Rolnik, Director, and David Cella, Publishing Editor, of Kluwer. Their encouragement has provided crucial motivation in this endeavor.

For years, I have been impressed by how dynamic markets are. Marketing strategies are rarely successful without adjustments over time, and marketing managers need constantly to monitor, and anticipate when possible, important changes in the marketing environment, so that they can adapt their marketing strategies to changing market conditions. It strikes me as important that the dynamic elements of marketing be modeled and studied, and a significant part of my research activity has been dedicated to exploring the nature and implications of dynamic marketing strategies. The marketing field has used various models and methodologies in the attempt to understand dynamic markets. I must thank my dissertation advisor, Dave Montgomery at Stanford, for originally turning my attention toward time-varying parameter models some 14 years ago. From that plat form, I have proceeded to search for models that capture the essence of dynamic marketing, as well as for methodological tools, empirical as well as analytical, that allow insightful study of such models.

Are you at risk of being trapped in an uncompetitive business? Chances are the strategies that worked well for you even a few years ago no longer deliver the results you need. Dramatic changes in business have unearthed a major gap between traditional approaches to strategy and the way the real world works now. In short, strategy is stuck. Most leaders are using frameworks that were designed for a different era of business and based on a single dominant idea—that the purpose of strategy is to achieve a sustainable competitive advantage. Once the premise on which all strategies were built, this idea is increasingly irrelevant. Now, Columbia Business School professor and globally recognized strategy expert Rita Gunther McGrath argues that it’s time to go beyond the very concept of sustainable competitive advantage. Instead, organizations need to forge a new path to winning: capturing opportunities fast, exploiting them decisively, and moving on even before they are exhausted. She shows how to do this with a new set of practices based on the notion of transient competitive advantage. This book serves as a new playbook for strategy, one based on updated assumptions about how the world works, and shows how some of the world’s most successful companies use this method to compete and win today. Filled with compelling examples from “growth outlier” firms such as Fujifilm, Cognizant Technology Solutions, Infosys, Yahoo! Japan, and Atmos Energy, The End of Competitive Advantage is your guide to renewed success and profitable growth in an economy increasingly defined by transient advantage.

This volume contains a selection of papers that were presented at the International Workshop on Dynamic Competitive Analysis, held in Montr6al, Canada, September 1-2, 1995. The workshop was organized by the editors of the proceedings volume. The proceedings contain both "full papers" and shorter pieces, to be considered as "work in progress". The choice of a rather broad theme for the workshop was deliberate and done in order to attract researchers from different areas of the marketing science community that usually do not get together. Obviously, a volume like this cannot be exhaustive in the coverage of the dynamics of marketing competition but we are confident that it will convey to the reader an impression of what are the current themes in this field of research. The book should be useful to researchers in marketing science, applied game theorists, graduate students, as well as practitioners in marketing with an interest in methods and examples of dynamic competitive analysis.

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.