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"Democratizing Innovation Democratizing Innovation Eric von Hippel The MIT Press Cambridge, Massachusetts London, England © 2005 Eric von Hippel Exclusive rights to publish and sell this book in print form in English are licensed to The MIT Press. All other rights are reserved by the author. An electronic version of this book is available under a Creative Commons license. MIT Press books may be purchased at special quantity discounts for business or sales promotional use. For information, please email special_sales@mitpress.mit.edu or write to Special Sales Department, The MIT Press, 5 Cambridge Center, Cambridge, MA 02142. Set in Stone sans and Stone serif by The MIT Press. Printed and bound in the United States of America. Library of Congress Cataloging-in-Publication Data Hippel, Eric von. Democratizing innovation / Eric von Hippel. p. cm. Includes bibliographical references and index. ISBN 0-262-00274-4 1. Technological innovations—Economic aspects. 2. Diffusion of innovations. 3. Democracy. I. Title. HC79.T4H558 2005 338'.064—dc22 2004061060 10 9 8 7 6 5 4 3 2 1 Dedicated to all who are building the information commons. Contents Acknowledgements 1 2 3 4 5 6 7 8 9 10 11 12 Notes Index ix 1 19 33 Introduction and Overview Development of Products by Lead Users Why Many Users Want Custom Products Users’ Innovate-or-Buy Decisions Users’ Low-Cost Innovation Niches 45 63 Why Users Often Freely Reveal Their Innovations Innovation Communities 93 107 77 Adapting Policy to User Innovation Democratizing Innovation 121 Application: Searching for Lead User Innovations 133 147 Application: Toolkits for User Innovation and Custom Design Linking User Innovation to Other Phenomena and Fields 179 183 197 165 Bibliography Acknowledgements Early in my research on the democratization of innovation I was very fortunate to gain five major academic mentors and friends. Nathan Rosenberg, Richard Nelson, Zvi Griliches, Edwin Mansfield, and Ann Carter all provided crucial support as I adopted economics as the organizing framework and toolset for my work. Later, I collaborated with a number of wonderful co-authors, all of whom are friends as well: Stan Finkelstein, Nikolaus Franke, Dietmar Harhoff, Joachim Henkel, Cornelius Herstatt, Ralph Katz, Georg von Krogh, Karim Lakhani, Gary Lilien, Christian Luthje, Pamela Morrison, William Riggs, John Roberts, Stephan Schrader, Mary Sonnack, Stefan Thomke, Marcie Tyre, and Glen Urban. Other excellent research collaborators and friends of long standing include Carliss Baldwin, Sonali Shah, Sarah Slaughter, and Lars Jeppesen. At some point as interest in a topic grows, there is a transition from dyadic academic relationships to a real research community. In my case, the essential person in enabling that transition was my close friend and colleague Dietmar Harhoff. He began to send wonderful Assistant Professors (Habilitanden) over from his university, Ludwig Maximilians Universität in Munich, to do collaborative research with me as MIT Visiting Scholars. They worked on issues related to the democratization of innovation while at MIT and then carried on when they returned to Europe. Now they are training others in their turn. I have also greatly benefited from close contacts with colleagues in industry. As Director of the MIT Innovation Lab, I work together with senior innovation managers in just a few companies to develop and try out innovation tools in actual company settings. Close intellectual colleagues and friends of many years standing in this sphere include Jim Euchner from Pitney-Bowes, Mary Sonnack and Roger Lacey from 3M, John Wright x Acknowledgements from IFF, Dave Richards from Nortel Networks, John Martin from Verizon, Ben Hyde from the Apache Foundation, Brian Behlendorf from the Apache Foundation and CollabNet, and Joan Churchill and Susan Hiestand from Lead User Concepts. Thank you so much for the huge (and often humbling) insights that your and our field experimentation has provided! I am also eager to acknowledge and thank my family for the joy and learning they experience and share with me. My wife Jessie is a professional editor and edited my first book in a wonderful way. For this book, however, time devoted to bringing up the children made a renewed editorial collaboration impossible. I hope the reader will not suffer unduly as a consequence! My children Christiana Dagmar and Eric James have watched me work on the book—indeed they could not avoid it as I often write at home. I hope they have been drawing the lesson that academic research can be really fun. Certainly, that is the lesson I drew from my father, Arthur von Hippel. He wrote his books in his study upstairs when I was a child and would often come down to the kitchen for a cup of coffee. In transit, he would throw up his hands and say, to no one in particular, “Why do I choose to work on such difficult problems?” And then he would look deeply happy. Dad, I noticed the smile! Finally my warmest thanks to my MIT colleagues and students and also to MIT as an institution. MIT is a really inspiring place to work and learn from others. We all understand the requirements for good research and learning, and we all strive to contribute to a very supportive academic environment. And, of course, new people are always showing up with new and interesting ideas, so fun and learning are always being renewed! Democratizing Innovation 1 Introduction and Overview When I say that innovation is being democratized, I mean that users of products and services—both firms and individual consumers—are increasingly able to innovate for themselves. User-centered innovation processes offer great advantages over the manufacturer-centric innovation development systems that have been the mainstay of commerce for hundreds of years. Users that innovate can develop exactly what they want, rather than relying on manufacturers to act as their (often very imperfect) agents. Moreover, individual users do not have to develop everything they need on their own: they can benefit from innovations developed and freely shared by others. The trend toward democratization of innovation applies to information products such as software and also to physical products. As a quick illustration of the latter, consider the development of high-performance windsurfing techniques and equipment in Hawaii by an informal user group. High-performance windsurfing involves acrobatics such as jumps and flips and turns in mid-air. Larry Stanley, a pioneer in high-performance windsurfing, described the development of a major innovation in technique and equipment to Sonali Shah: In 1978 Jürgen Honscheid came over from West Germany for the first Hawaiian World Cup and discovered jumping, which was new to him, although Mike Horgan and I were jumping in 1974 and 1975. There was a new enthusiasm for jumping and we were all trying to outdo each other by jumping higher and higher. The problem was that . . . the riders flew off in mid-air because there was no way to keep the board with you—and as a result you hurt your feet, your legs, and the board. Then I remembered the “Chip,” a small experimental board we had built with footstraps, and thought “it’s dumb not to use this for jumping.” That’s when I first started jumping with footstraps and discovering controlled flight. I could go so much faster than I ever thought and when you hit a wave it was like a motorcycle rider 2 Chapter 1 hitting a ramp; you just flew into the air. All of a sudden not only could you fly into the air, but you could land the thing, and not only that, but you could change direction in the air! The whole sport of high-performance windsurfing really started from that. As soon as I did it, there were about ten of us who sailed all the time together and within one or two days there were various boards out there that had footstraps of various kinds on them, and we were all going fast and jumping waves and stuff. It just kind of snowballed from there. (Shah 2000) By 1998, more than a million people were engaged in windsurfing, and a large fraction of the boards sold incorporated the user-developed innovations for the high-performance sport. The user-centered innovation process just illustrated is in sharp contrast to the traditional model, in which products and services are developed by manufacturers in a closed way, the manufacturers using patents, copyrights, and other protections to prevent imitators from free riding on their innovation investments. In this traditional model, a user’s only role is to have needs, which manufacturers then identify and fill by designing and producing new products. The manufacturer-centric model does fit some fields and conditions. However, a growing body of empirical work shows that users are the first to develop many and perhaps most new industrial and consumer products. Further, the contribution of users is growing steadily larger as a result of continuing advances in computer and communications capabilities. In this book I explain in detail how the emerging process of user-centric, democratized innovation works. I also explain how innovation by users provides a very necessary complement to and feedstock for manufacturer innovation. The ongoing shift of innovation to users has some very attractive qualities. It is becoming progressively easier for many users to get precisely what they want by designing it for themselves. And innovation by users appears to increase social welfare. At the same time, the ongoing shift of product-development activities from manufacturers to users is painful and difficult for many manufacturers. Open, distributed innovation is “attacking” a major structure of the social division of labor. Many firms and industries must make fundamental changes to long-held business models in order to adapt. Further, governmental policy and legislation sometimes preferentially supports innovation by manufacturers. Considerations of social welfare suggest that this must change. The workings of the intellec- Introduction and Overview 3 tual property system are of special concern. But despite the difficulties, a democratized and user-centric system of innovation appears well worth striving for. Users, as the term will be used in this book, are firms or individual consumers that expect to benefit from using a product or a service. In contrast, manufacturers expect to benefit from selling a product or a service. A firm or an individual can have different relationships to different products or innovations. For example, Boeing is a manufacturer of airplanes, but it is also a user of machine tools. If we were examining innovations developed by Boeing for the airplanes it sells, we would consider Boeing a manufacturer-innovator in those cases. But if we were considering innovations in metal-forming machinery developed by Boeing for in-house use in building airplanes, we would categorize those as user-developed innovations and would categorize Boeing as a user-innovator in those cases. Innovation user and innovation manufacturer are the two general “functional” relationships between innovator and innovation. Users are unique in that they alone benefit directly from innovations. All others (here lumped under the term “manufacturers”) must sell innovationrelated products or services to users, indirectly or directly, in order to profit from innovations. Thus, in order to profit, inventors must sell or license knowledge related to innovations, and manufacturers must sell products or services incorporating innovations. Similarly, suppliers of innovationrelated materials or services—unless they have direct use for the innovations—must sell the materials or services in order to profit from the innovations. The user and manufacturer categorization of relationships between innovator and innovation can be extended to specific functions, attributes, or features of products and services. When this is done, it may turn out that different parties are associated with different attributes of a particular product or service. For example, householders are the users of the switching attribute of a household electric light switch—they use it to turn lights on and off. However, switches also have other attributes, such as “easy wiring” qualities, that may be used only by the electricians who install them. Therefore, if an electrician were to develop an improvement to the installation attributes of a switch, it would be considered a user-developed innovation. A brief overview of the contents of the book follows. 4 Chapter 1 Development of Products by Lead Users (Chapter 2) Empirical studies show that many users—from 10 percent to nearly 40 percent—engage in developing or modifying products. About half of these studies do not determine representative innovation frequencies; they were designed for other purposes. Nonetheless, when taken together, the findings make it very clear that users are doing a lot of product modification and product development in many fields. Studies of innovating users (both individuals and firms) show them to have the characteristics of “lead users.” That is, they are ahead of the majority of users in their populations with respect to an important market trend, and they expect to gain relatively high benefits from a solution to the needs they have encountered there. The correlations found between innovation by users and lead user status are highly significant, and the effects are very large. Since lead users are at the leading edge of the market with respect to important market trends, one can guess that many of the novel products they develop for their own use will appeal to other users too and so might provide the basis for products manufacturers would wish to commercialize. This turns out to be the case. A number of studies have shown that many of the innovations reported by lead users are judged to be commercially attractive and/or have actually been commercialized by manufacturers. Research provides a firm grounding for these empirical findings. The two defining characteristics of lead users and the likelihood that they will develop new or modified products have been found to be highly correlated (Morrison et al. 2004). In addition, it has been found that the higher the intensity of lead user characteristics displayed by an innovator, the greater the commercial attractiveness of the innovation that the lead user develops (Franke and von Hippel 2003a). In figure 1.1, the increased concentration of innovations toward the right indicates that the likelihood of innovating is higher for users having higher lead user index values. The rise in average innovation attractiveness as one moves from left to right indicates that innovations developed by lead users tend to be more commercially attractive. (Innovation attractiveness is the sum of the novelty of the innovation and the expected future generality of market demand.) Introduction and Overview 5 Innovation Attractiveness of innovations 10 Estimated OLS curve 5 0 2 3 4 5 6 7 8 9 10 11 12 13 14 “Lead-user-ness” of users Figure 1.1 User-innovators with stronger “lead user” characteristics develop innovations having higher appeal in the general marketplace. Estimated OLS function: Y = 2.06 + 0.57x, where Y represents attractiveness of innovation and x represents lead-user-ness of respondent. Adjusted R2 = 0.281; p = 0.002; n = 30. Source of data: Franke and von Hippel 2003. Why Many Users Want Custom Products (Chapter 3) Why do so many users develop or modify products for their own use? Users may innovate if and as they want something that is not available on the market and are able and willing to pay for its development. It is likely that many users do not find what they want on the market. Meta-analysis of market-segmentation studies suggests that users’ needs for products are highly heterogeneous in many fields (Franke and Reisinger 2003). Mass manufacturers tend to follow a strategy of developing products that are designed to meet the needs of a large market segment well enough to induce purchase from and capture significant profits from a large number of customers. When users’ needs are heterogeneous, this strategy of “a few sizes fit all” will leave many users somewhat dissatisfied with the commercial products on offer and probably will leave some users seriously dissatisfied. In a study of a sample of users of the security features of Apache web server software, Franke and von Hippel (2003b) found that users had a very high heterogeneity of need, and that many had a high willingness to pay to 6 Chapter 1 get precisely what they wanted. Nineteen percent of the users sampled actually innovated to tailor Apache more closely to their needs. Those who did were found to be significantly more satisfied. Users’ Innovate-or-Buy Decisions (Chapter 4) Even if many users want “exactly right products” and are willing and able to pay for their development, why do users often do this for themselves rather than hire a custom manufacturer to develop a special just-right product for them? After all, custom manufacturers specialize in developing products for one or a few users. Since these firms are specialists, it is possible that they could design and build custom products for individual users or user firms faster, better, or cheaper than users could do this for themselves. Despite this possibility, several factors can drive users to innovate rather than buy. Both in the case of user firms and in the case of individual user-innovators, agency costs play a major role. In the case of individual user-innovators, enjoyment of the innovation process can also be important. With respect to agency costs, consider that when a user develops its own custom product that user can be trusted to act in its own best interests. When a user hires a manufacturer to develop a custom product, the situation is more complex. The user is then a principal that has hired the custom manufacturer to act as its agent. If the interests of the principal and the agent are not the same, there will be agency costs. In general terms, agency costs are (1) costs incurred to monitor the agent to ensure that it (or he or she) follows the interests of the principal, (2) the cost incurred by the agent to commit itself not to act against the principal’s interest (the “bonding cost”), and (3) costs associated with an outcome that does not fully serve the interests of the principal (Jensen and Meckling 1976). In the specific instance of product and service development, a major divergence of interests between user and custom manufacturer does exist: the user wants to get precisely what it needs, to the extent that it can afford to do so. In contrast, the custom manufacturer wants to lower its development costs by incorporating solution elements it already has or that it predicts others will want in the future—even if by doing so it does not serve its present client’s needs as well as it could. A user wants to preserve its need specification because that specification is chosen to make that user’s overall solution quality as high as possible at Introduction and Overview 7 the desired price. For example, an individual user may specify a mountainclimbing boot that will precisely fit his unique climbing technique and allow him to climb Everest more easily. Any deviations in boot design will require compensating modifications in the climber’s carefully practiced and deeply ingrained climbing technique—a much more costly solution from the user’s point of view. A custom boot manufacturer, in contrast, will have a strong incentive to incorporate the materials and processes it has in stock and expects to use in future even if this produces a boot that is not precisely right for the present customer. For example, the manufacturer will..."

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