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The Discipline of Innovation
by Peter F. Drucker
Reprint r0208f
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The Failure -Tolerant Leader r0208d Richard Farson and Ralph Keyes
Breaking Out of the Innovation Box r0208e John D. Wolpert
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Creativity Is Not Enough r0208k Theodore Levitt
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August 2002
Copyright © 2002 by Harvard Business School Publishing Corporation. All rights reserved. 5
How much of innovation is inspiration, and how much is hard work? If it’s mainly
the former, then management’s role is limited: Hire the right people, and get out
of their way. If it’s largely the latter, management must play a more vigorous role:
Establish the right roles and processes, set clear goals and relevant measures, and
review progress at every step. Peter Drucker, with the masterly subtlety that is
his trademark, comes down somewhere in the middle. Yes, he writes in this arti-
cle, innovation is real work, and it can and should be managed like any other
corporate function. But that doesn’t mean it’s the same as other business activi-
ties. Indeed, innovation is the work of knowing rather than doing.
Drucker argues that most innovative business ideas come from methodically
analyzing seven areas of opportunity, some of which lie within particular com-
panies or industries and some of which lie in broader social or demographic
trends. Astute managers will ensure that their organizations maintain a clear
focus on all seven. But analysis will take you only so far. Once you’ve identified
an attractive opportunity, you still need a leap of imagination to arrive at the
right response – call it “functional inspiration.”
by Peter F. Drucker
Despite much discussion these days of the “entrepreneurial personality,” few of the entrepreneurs with whom I have worked during the past 30 years had such personalities. But I have known many people – salespeople, sur- geons, journalists, scholars, even musi- cians – who did have them without being the least bit entrepreneurial. What all the successful entrepreneurs I have met have in common is not a certain kind of personality but a com- mitment to the systematic practice of innovation.
Innovation is the specific function of entrepreneurship, whether in an exist- ing business, a public service institution, or a new venture started by a lone indi- vidual in the family kitchen. It is the means by which the entrepreneur either creates new wealth-producing resources or endows existing resources with en- hanced potential for creating wealth.
Today, much confusion exists about the proper definition of entrepreneur- ship. Some observers use the term to refer to all small businesses; others, to all new businesses. In practice, however, a
In business, innovation
rarely springs from a
flash of inspiration. It
arises from a cold-eyed
analysis of seven kinds
of opportunities.
The Discipline of Innovation
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great many well-established businesses engage in highly successful entrepre- neurship. The term, then, refers not to an enterprise’s size or age but to a cer- tain kind of activity. At the heart of that activity is innovation: the effort to cre- ate purposeful, focused change in an en- terprise’s economic or social potential.
Sources of Innovation There are, of course, innovations that spring from a flash of genius. Most in- novations, however, especially the suc- cessful ones, result from a conscious, purposeful search for innovation op- portunities, which are found only in a few situations. Four such areas of op- portunity exist within a company or in- dustry: unexpected occurrences, incon- gruities, process needs, and industry and market changes.
Three additional sources of opportu- nity exist outside a company in its social and intellectual environment: demo- graphic changes, changes in perception, and new knowledge.
True, these sources overlap, different as they may be in the nature of their risk, difficulty, and complexity, and the potential for innovation may well lie in more than one area at a time. But to- gether, they account for the great ma- jority of all innovation opportunities.
Unexpected Occurrences
Consider, first, the easiest and simplest source of innovation opportunity: the unexpected. In the early 1930s, IBM de- veloped the first modern accounting machine, which was designed for banks. But banks in 1933 did not buy new equipment. What saved the company – according to a story that Thomas Wat- son, Sr., the company’s founder and long-term CEO, often told – was its ex- ploitation of an unexpected success: The New York Public Library wanted to buy a machine. Unlike the banks, libraries in those early New Deal days had money, and Watson sold more than a hundred of his otherwise unsalable machines to libraries.
Fifteen years later, when everyone be- lieved that computers were designed for advanced scientific work, business un- expectedly showed an interest in a ma- chine that could do payroll. Univac, which had the most advanced machine, spurned business applications. But IBM immediately realized it faced a possible unexpected success, redesigned what was basically Univac’s machine for such mundane applications as payroll, and within five years became a leader in the computer industry, a position it has maintained to this day.
The unexpected failure may be an equally important source of innovation opportunities. Everyone knows about the Ford Edsel as the biggest new-car failure in automotive history. What very few people seem to know, however, is that the Edsel’s failure was the founda- tion for much of the company’s later success. Ford planned the Edsel, the most carefully designed car to that point in American automotive history, to give the company a full product line with which to compete with General Motors. When it bombed, despite all the plan- ning, market research, and design that had gone into it, Ford realized that some- thing was happening in the automobile market that ran counter to the basic as- sumptions on which GM and everyone else had been designing and market- ing cars. No longer was the market seg- mented primarily by income groups; the new principle of segmentation was what we now call “lifestyles.” Ford’s re- sponse was the Mustang, a car that gave the company a distinct personality and reestablished it as an industry leader.
Unexpected successes and failures are such productive sources of innovation opportunities because most businesses dismiss them, disregard them, and even resent them. The German scientist who around 1905 synthesized novocaine, the first nonaddictive narcotic, had in- tended it to be used in major surgical procedures like amputation. Surgeons, however, preferred total anesthesia for such procedures; they still do. Instead, novocaine found a ready appeal among
dentists. Its inventor spent the remain- ing years of his life traveling from den- tal school to dental school making speeches that forbade dentists from “misusing” his noble invention in appli- cations for which he had not intended it.
This is a caricature, to be sure, but it illustrates the attitude managers often take to the unexpected: “It should not have happened.” Corporate reporting systems further ingrain this reaction, for they draw attention away from un- anticipated possibilities. The typical monthly or quarterly report has on its first page a list of problems – that is, the areas where results fall short of expec- tations. Such information is needed, of course, to help prevent deterioration of performance. But it also suppresses the recognition of new opportunities. The first acknowledgment of a possible opportunity usually applies to an area in which a company does better than budgeted. Thus genuinely entrepreneur- ial businesses have two “first pages” – a problem page and an opportunity page – and managers spend equal time on both.
Incongruities
Alcon Laboratories was one of the suc- cess stories of the 1960s because Bill Conner, the company’s cofounder, ex- ploited an incongruity in medical tech- nology. The cataract operation is the world’s third or fourth most common surgical procedure. During the past 300 years, doctors systematized it to the point that the only “old-fashioned” step left was the cutting of a ligament. Eye surgeons had learned to cut the liga-
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Peter F. Drucker is the Marie Rankin Clarke Professor of Social Science and Manage- ment at Claremont Graduate University’s Peter F. Drucker Graduate School of Man- agement in Claremont, California. He has written more than two dozen articles for HBR. This article was originally adapted from his book Innovation and Entre- preneurship: Practice and Principles (Harper & Row, 1985).
ment with complete success, but it was so different a procedure from the rest of the operation, and so incompatible with it, that they often dreaded it. It was incongruous.
Doctors had known for 50 years about an enzyme that could dissolve the ligament without cutting. All Conner did was to add a preservative to this en- zyme that gave it a few months’ shelf life. Eye surgeons immediately accepted the new compound, and Alcon found itself with a worldwide monopoly. Fif- teen years later, Nestlé bought the com- pany for a fancy price.
Such an incongruity within the logic or rhythm of a process is only one pos- sibility out of which innovation oppor- tunities may arise. Another source is incongruity between economic realities. For instance, whenever an industry has a steadily growing market but falling profit margins – as, say, in the steel in- dustries of developed countries between 1950 and 1970 – an incongruity exists. The innovative response: minimills.
An incongruity between expectations and results can also open up possibili- ties for innovation. For 50 years after the turn of the century, shipbuilders and shipping companies worked hard both to make ships faster and to lower their fuel consumption. Even so, the more successful they were in boosting speed and trimming their fuel needs, the worse the economics of ocean freighters became. By 1950 or so, the ocean freighter was dying, if not al- ready dead.
All that was wrong, however, was an incongruity between the industry’s as- sumptions and its realities. The real costs did not come from doing work (that is, being at sea) but from not doing work (that is, sitting idle in port). Once managers understood where costs truly lay, the innovations were obvious: the roll-on and roll-off ship and the con- tainer ship. These solutions, which in- volved old technology, simply applied to the ocean freighter what railroads and truckers had been using for 30 years. A shift in viewpoint, not in tech-
nology, totally changed the economics of ocean shipping and turned it into one of the major growth industries of the last 20 to 30 years.
Process Needs
Anyone who has ever driven in Japan knows that the country has no modern highway system. Its roads still follow the paths laid down for – or by – oxcarts in the tenth century. What makes the sys- tem work for automobiles and trucks is an adaptation of the reflector used on American highways since the early 1930s. The reflector lets each car see which other cars are approaching from any one of a half-dozen directions. This minor invention, which enables traffic to move smoothly and with a minimum of accidents, exploited a process need.
What we now call the media had its origin in two innovations developed around 1890 in response to process needs. One was Ottmar Mergenthaler’s Linotype, which made it possible to pro- duce newspapers quickly and in large volume. The other was a social innova- tion, modern advertising, invented by the first true newspaper publishers, Adolph Ochs of the New York Times, Joseph Pulitzer of the New York World, and William Randolph Hearst. Adver- tising made it possible for them to dis- tribute news practically free of charge, with the profit coming from marketing.
Industry and Market Changes
Managers may believe that industry structures are ordained by the good Lord, but these structures can–and often do – change overnight. Such change creates tremendous opportunity for innovation.
One of American business’s great success stories in recent decades is the brokerage firm of Donaldson, Luf kin & Jenrette, recently acquired by the Equi- table Life Assurance Society. DL&J was founded in 1960 by three young men, all graduates of the Harvard Business
School, who realized that the structure of the financial industry was changing as institutional investors became domi- nant. These young men had practically no capital and no connections. Still, within a few years, their firm had be- come a leader in the move to negotiated commissions and one of Wall Street’s stellar performers. It was the first to be incorporated and go public.
In a similar fashion, changes in in- dustry structure have created massive innovation opportunities for American health care providers. During the past ten or 15 years, independent surgical and psychiatric clinics, emergency cen- ters, and HMOs have opened through- out the country. Comparable opportu- nities in telecommunications followed industry upheavals – in transmission (with the emergence of MCI and Sprint in long-distance service) and in equip- ment (with the emergence of such com- panies as Rolm in the manufacturing of private branch exchanges).
When an industry grows quickly – the critical figure seems to be in the neighborhood of 40% growth in ten years or less – its structure changes. Es- tablished companies, concentrating on defending what they already have, tend not to counterattack when a newcomer challenges them. Indeed, when market or industry structures change, traditional industry leaders again and again neglect the fastest growing market segments. New opportunities rarely fit the way the industry has always approached the mar- ket, defined it, or organized to serve it. Innovators therefore have a good chance of being left alone for a long time.
Demographic Changes
Of the outside sources of innovation op- portunities, demographics are the most reliable. Demographic events have known lead times; for instance, every person who will be in the American labor force by the year 2000 has already been born. Yet because policy makers often neglect demographics, those who watch them and exploit them can reap great rewards.
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The Japanese are ahead in robotics because they paid attention to demo- graphics. Everyone in the developed countries around 1970 or so knew that there was both a baby bust and an edu- cation explosion going on; about half or more of the young people were staying in school beyond high school. Conse- quently, the number of people available for traditional blue-collar work in man- ufacturing was bound to decrease and become inadequate by 1990. Everyone knew this, but only the Japanese acted on it, and they now have a ten-year lead in robotics.
Much the same is true of Club Med- iterranee’s success in the travel and re- sort business. By 1970, thoughtful ob- servers could have seen the emergence of large numbers of affluent and edu- cated young adults in Europe and the United States. Not comfortable with the kind of vacations their working- class parents had enjoyed – the sum- mer weeks at Brighton or Atlantic City– these young people were ideal custom- ers for a new and exotic version of the “hangout” of their teen years.
Managers have known for a long time that demographics matter, but they have always believed that population statistics change slowly. In this century, however, they don’t. Indeed, the inno- vation opportunities made possible by changes in the numbers of people – and in their age distribution, education, occupations, and geographic location – are among the most rewarding and least risky of entrepreneurial pursuits.
Changes in Perception
“The glass is half full” and “The glass is half empty” are descriptions of the same phenomenon but have vastly dif- ferent meanings. Changing a manager’s perception of a glass from half full to half empty opens up big innovation opportunities.
All factual evidence indicates, for in- stance, that in the last 20 years, Ameri- cans’ health has improved with unprec- edented speed – whether measured by
mortality rates for the newborn, survival rates for the very old, the incidence of cancers (other than lung cancer), can- cer cure rates, or other factors. Even so, collective hypochondria grips the nation. Never before has there been so much concern with or fear about health. Suddenly, everything seems to cause cancer or degenerative heart disease or premature loss of memory. The glass is clearly half empty.
Rather than rejoicing in great improvements in health, Americans seem to be emphasizing how far away they still are from immortality. This view of things has created many opportunities for innovations: markets for new health care magazines, for exercise classes and jogging equipment, and for all kinds of health foods. The fastest growing new U.S. business in 1983 was a company that makes indoor exercise equipment.
A change in perception does not alter facts. It changes their meaning, though– and very quickly. It took less than two years for the computer to change from being perceived as a threat and as some- thing only big businesses would use to something one buys for doing income tax. Economics do not necessarily dic- tate such a change; in fact, they may be irrelevant. What determines whether people see a glass as half full or half empty is mood rather than fact, and a change in mood often defies quantifica- tion. But it is not exotic. It is concrete. It can be defined. It can be tested. And it can be exploited for innovation opportunity.
New Knowledge
Among history-making innovations, those that are based on new knowl- edge – whether scientific, technical, or social – rank high. They are the super- stars of entrepreneurship; they get the publicity and the money. They are what people usually mean when they talk of innovation, although not all innovations based on knowledge are important.
Knowledge-based innovations differ from all others in the time they take, in their casualty rates, and in their pre- dictability, as well as in the challenges they pose to entrepreneurs. Like most superstars, they can be temperamental,
capricious, and hard to direct. They have, for instance, the longest lead time of all innovations. There is a protracted span between the emergence of new knowledge and its distillation into us- able technology. Then there is another long period before this new technology appears in the marketplace in products, processes, or services. Overall, the lead time involved is something like 50 years, a figure that has not shortened appre- ciably throughout history.
To become effective, innovation of this sort usually demands not one kind of knowledge but many. Consider one of the most potent knowledge-based in- novations: modern banking. The theory of the entrepreneurial bank – that is, of the purposeful use of capital to generate economic development – was formu- lated by the Comte de Saint-Simon dur- ing the era of Napoleon. Despite Saint- Simon’s extraordinary prominence, it was not until 30 years after his death in 1825 that two of his disciples, the broth- ers Jacob and Isaac Pereire, established the first entrepreneurial bank, the Credit Mobilier, and ushered in what we now call finance capitalism.
The Pereires, however, did not know modern commercial banking, which de- veloped at about the same time across the channel in England. The Credit Mo- bilier failed ignominiously. A few years later, two young men – one an Ameri- can, J.P. Morgan, and one a German, Georg Siemens–put together the French
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Knowledge-based innovations
can be temperamental,
capricious, and hard to direct.
theory of entrepreneurial banking and the English theory of commercial bank- ing to create the first successful modern banks: J.P. Morgan & Company in New York, and the Deutsche Bank in Berlin. Ten years later, a young Japanese, Shibu- sawa Eiichi, adapted Siemens’s concept to his country and thereby laid the foun- dation of Japan’s modern economy. This is how knowledge-based innovation al- ways works.
The computer, to cite another exam- ple, required no fewer than six separate strands of knowledge: • binary arithmetic; • Charles Babbage’s conception of a cal- culating machine, in the first half of the nineteenth century;
• the punch card, invented by Herman Hollerith for the U.S. census of 1890;
• the audion tube, an electronic switch invented in 1906;
• symbolic logic, which was developed between 1910 and 1913 by Bertrand Russell and Alfred North Whitehead;
• and concepts of programming and feedback that came out of abortive
attempts during World War I to de- velop effective antiaircraft guns.
Although all the necessary knowl- edge was available by 1918, the first op- erational digital computer did not ap- pear until 1946.
Long lead times and the need for con- vergence among different kinds of knowledge explain the peculiar rhythm of knowledge-based innovation, its at- tractions, and its dangers. During a long gestation period, there is a lot of talk and little action. Then, when all the elements suddenly converge, there is tremendous excitement and activity and an enor- mous amount of speculation. Between 1880 and 1890, for example, almost
1,000 electric-apparatus companies were founded in developed countries. Then, as always, there was a crash and a shake- out. By 1914, only 25 were still alive. In the early 1920s, 300 to 500 automobile companies existed in the United States; by 1960, only four of them remained.
It may be difficult, but knowledge- based innovation can be managed. Suc- cess requires careful analysis of the various kinds of knowledge needed to make an innovation possible. Both J.P. Morgan and Georg Siemens did this when they established their banking ventures. The Wright brothers did this when they developed the first opera- tional airplane.
Careful analysis of the needs – and, above all, the capabilities – of the in- tended user is also essential. It may seem paradoxical, but knowledge-based innovation is more market dependent than any other kind of innovation. De Havilland, a British company, designed and built the first passenger jet, but it did not analyze what the market needed and therefore did not identify two key
factors. One was configuration – that is, the right size with the right payload for the routes on which a jet would give an airline the great- est advantage. The other was equally mundane: How could the airlines finance the purchase of such an ex- pensive plane? Because de Havil- land failed to do an adequate user
analysis, two American companies, Boe- ing and Douglas, took over the com- mercial jet-aircraft industry.
Principles of Innovation Purposeful, systematic innovation be- gins with the analysis of the sources of new opportunities. Depending on the context, sources will have different im- portance at different times. Demograph- ics, for instance, may be of little concern to innovators of fundamental industrial processes like steelmaking, although the Linotype machine became successful pri- marily because there were not enough skilled typesetters available to satisfy a mass market. By the same token, new
knowledge may be of little relevance to someone innovating a social instrument to satisfy a need that changing demo- graphics or tax laws have created. But whatever the situation, innovators must analyze all opportunity sources.
Because innovation is both concep- tual and perceptual, would-be innova- tors must also go out and look, ask, and listen. Successful innovators use both the right and left sides of their brains. They work out analytically what the in- novation has to be to satisfy an oppor- tunity. Then they go out and look at po- tential users to study their expectations, their values, and their needs.
To be effective, an innovation has to be simple, and it has to be focused. It should do only one thing; otherwise it confuses people. Indeed, the greatest praise an innovation can receive is for people to say, “This is obvious! Why didn’t I think of it? It’s so simple!” Even the innovation that creates new users and new markets should be directed toward a specific, clear, and carefully designed application.
Effective innovations start small. They are not grandiose. It may be to enable a moving vehicle to draw electric power while it runs along rails, the innovation that made possible the electric streetcar. Or it may be the elementary idea of putting the same number of matches into a matchbox (it used to be 50). This simple notion made possible the auto- matic filling of matchboxes and gave the Swedes a world monopoly on matches for half a century. By contrast, grandiose ideas for things that will “revolutionize an industry” are unlikely to work.
In fact, no one can foretell whether a given innovation will end up a big busi- ness or a modest achievement. But even if the results are modest, the successful innovation aims from the beginning to become the standard setter, to deter- mine the direction of a new technology or a new industry, to create the business that is–and remains–ahead of the pack. If an innovation does not aim at leader- ship from the beginning, it is unlikely to be innovative enough.
Innovation requires
knowledge, ingenuity,
and, above all else, focus.
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Above all, innovation is work rather than genius. It requires knowledge. It often requires ingenuity. And it requires focus. There are clearly people who are more talented innovators than others, but their talents lie in well-defined areas. Indeed, innovators rarely work in more than one area. For all his systematic in- novative accomplishments, Thomas Edi- son worked only in the electrical field. An innovator in financial areas, Citibank for example, is not likely to embark on innovations in health care.
In innovation, as in any other en- deavor, there is talent, there is ingenuity, and there is knowledge. But when all is said and done, what innovation requires
is hard, focused, purposeful work. If dili- gence, persistence, and commitment are lacking, talent, ingenuity, and knowl- edge are of no avail.
There is, of course, far more to entre- preneurship than systematic innova- tion–distinct entrepreneurial strategies, for example, and the principles of entre- preneurial management, which are needed equally in the established en- terprise, the public service organization, and the new venture. But the very foun- dation of entrepreneurship is the prac- tice of systematic innovation.
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A R T I C L E S
“Value Innovation: The Strategic Logic of High Growth” W. Chan Kim and Renée Mauborgne
Harvard Business Review, January–February 1997 Product No. 97108
Kim and Mauborgne help managers recognize the opportunities revealed by what Drucker describes as a purposeful search of the environment. Companies achieve sustained high growth, the authors maintain, by pursuing value innova- tion – shaping conditions in an industry and pursuing quantum leaps in value to customers. Virgin Atlantic, for example, challenged industry conventions by eliminating first-class service and channeling the cost savings into innovations for business-class passengers.
“Breaking Compromises, Breakaway Growth” George Stalk, Jr., David K. Pecaut, and Benjamin Burnett
Harvard Business Review, September–October 1996 Product No. 96507
How and where should companies search for growth? Look for opportunities to break industry compromises, these authors suggest. Compromises occur when an industry imposes its own operating practices or constraints on customers. For example, you can trade off luxury (Ritz-Carlton) for economy (Best West- ern), but the hotel industry forces you to compromise by not permitting check- in before 4 pm. The quest for innovation opportunities calls for wisdom, curios- ity, and perseverance in order to overcome these compromises.
“Developing Products on Internet Time” Marco Iansiti and Alan MacCormack
Harvard Business Review, September–October 1997 Product No. 97505
This article offers a good example of a disciplined search for innovation oppor- tunities in the marketplace. The Internet has created an extremely fast environ- ment for product development. The customer needs that a product is designed to satisfy, and the technologies required to satisfy those needs, can change radi- cally – even as the product is under development. Some companies have re- sponded with a flexible product-development process that lets designers define and shape products up to the last possible moment before market release.