“Innovation” is a word that veers into the realm of motherhood and apple pie: It's good because it's good. If innovation is in fact essential to the American future, however, it must move beyond personal idiosyncrasy, magic, and luck. Merely because innovation does not result from relatively rote application of algorithms does not mean it cannot be learned, measured, or codified. Two examples, among many others, may serve as inspiration going forward.
After more than 15 years on the Web, Amazon.com remains a pioneer in online commerce. From the days when its peers were E*TRADE and Dell, then through the periods of iPod and Google ascendency, Amazon is the one company that can claim a consistent leadership position on the Web. It serves as an information-age exemplar because of its combination of innovation and execution, and especially its mastery of platform economics. Today, Amazon continues to help define the Internet as a consumer environment, with rules, limits, and opportunities often different from those experienced in physical channels. Operating under assumptions at variance with conventional businesses, and a survivor of the 2000 dot-com bubble, Amazon is a harbinger of successful business practices in a connected economy. (See Figure 35.1.)
Amazon.com opened for business in July 1995 as an exclusively Internet-based effort. After books, Amazon initially expanded into books on tape, videotapes, and sheet music. It then moved into compact discs, becoming the top Internet music merchant in its first quarter of operation. In late November 1998, Amazon announced that it was temporarily expanding into holiday gifts, including electronics, toys, gadgets, and games. This move, while expected, came earlier than most observers predicted, providing another instance where Amazon acted proactively and forced other industry players to respond. Such expansion established a pattern that has persisted: Amazon moves unexpectedly and faster than conventional wisdom would dictate. More than once, actions that were judged as rash in the investment and business press—such as moving into tools and hardware, or the Amazon Prime prepaid two-day shipping plan—turned out to be successful.
The business was started by Jeff Bezos, who studied computer science and electrical engineering at Princeton before working in investment banking until 1994. His interest in the Internet as a consumer environment began when he saw the growth rate of World Wide Web traffic in the spring of 1994. As Bezos recalled in an interview:
I came across a statistic that the growth rate of Web usage was 2,300 percent a year. … It turned out that, though you couldn't measure the baseline usage, you could measure growth rate. And things rarely grow that quickly…. Just anecdotally, I could tell that the baseline was nontrivial. And therefore it looked like the Web was going to get very big very fast.1
Bezo's immediate business goal—“Get big fast”2—reflects an understanding of power-law economics, the driving force in the software industry that is Amazon's main progenitor. Indeed, the story of how Bezos came to choose books as his domain has become part of Internet folklore. In the summer of 1994, he intensively researched different products to sell online, then chose books from among 20 different candidates. He and his wife moved to Seattle in part to capitalize on the area's large supply of talented computer programmers and focused on the opportunities presented by the fact of books being information goods, by the fragmentation of both supply and demand, and by the demanding inventory needs of a book retailer being easier to meet with connections to distributors' warehouses than with in-house stock. In his analysis, Bezos anticipated Chris Anderson's insight into the long tail of power-law distributions: Vast selection meeting sparse demand in an online marketplace is a formula that defines multiple sectors that Amazon has entered.
It is important to note that, from the outset, Amazon operated on a business model built to exploit the online environment rather than from the standpoint of a product focus. This perspective directly contradicts conventional business wisdom that urges executives to set business goals and then to “enable” those goals with technology. Bezos, like FedEx's Fred Smith and other visionaries, instead studied a set of emerging technological capabilities and wrapped a business around them.
Amazon has consciously built a fourfold value proposition, each dimension of which directly relates to an understanding of the leverage uniquely generated by the online medium:3
Amazon's extraordinary performance on some traditional measurements indicates some benefits of its business model. The foremost of these may be cash flow: Amazon's operating cycle—the time from payment to suppliers until payment from customers—is in fact negative. Given that credit card companies typically pay Amazon within 24 hours of an order's receipt, and given that Amazon pays its suppliers 46 days after receipt of goods, the firm has use of the customers' money for several weeks before bills come due. At Best Buy, in contrast, inventory is held, on average, for 74 days, or 30 days after the supplier was paid.
Other metrics are similarly revealing of best-in-class execution:
In keeping with the hypothesis that superb execution is necessary but no longer sufficient for business success, Amazon (like Apple) excels at innovation. The firm is responsible for several developments that are now part of the online landscape:
Given its long history, its large scale, its inability to be categorized, and its operational excellence, Amazon is a hard company to copy. That said, four lessons may be applicable in other efforts:
The Internet, particularly its mobile variant, dramatically lowers coordination costs, as we have seen repeatedly. The possibilities for crowds to mobilize to solve problems are multiplying, providing a second rich resource for innovation.
Several examples might point the way to other possibilities.
To illustrate a different angle on the crowd dynamic, I'd like to discuss a video by TED producer Chris Anderson.9 In it he looks at the proliferation of online videos as tools for mass learning and improvement. Starting with the example of self-taught street dancers in Brazil, Japan, Los Angeles, and elsewhere, he argues that the broad availability of video as shared show-and-tell mechanism spurs one-upmanship through imitation and then innovation. The level of TED talks themselves, Anderson argues, provides home-grown evidence that cheap, vivid multimedia can raise the bar for many kinds of tasks: futurist presentations, basketball dunks, surgical techniques, and so on.
Five factors relative to usability are important in the case of Web video being radically accessible.
With such powerful motivators, low barriers to participation, vast and diverse populations, rapidity of both generation and diffusion, and a rich ancillary toolset relating to online video, Anderson makes a compelling case for the medium as a vast untapped resource for problem solving on multiple fronts. In addition, because video involves multiple senses, the odds that a given person will grasp my ideas increases as the viewer can hear, watch, or read text relating to the topic. In the face of an urgent need to innovate, the tool set is, fortunately, powerful and accessible.
Innovation has never been more needed—one study suggests that innovation per capita peaked well over 100 years ago—or more possible. Open platforms, starting with the Web itself, allow the harvesting of more effort. Wireless hardware puts tools in the hands of millions more people every year. Distributed sensors, radios, and geographic information can be cleverly combined in ways never before possible. Perhaps most important, harvesting the “people power” of good questions, good ideas, and good challenges recalibrates the investment model of many categories of innovation. As the MIT response to the DARPA balloon challenge illustrated (see Chapter 3), getting the incentive model right to drive the right people to participate was more important than any algorithm or piece of code.
1. Dickson Louie and Jeffrey F. Rayport, “Amazon.com: Portrait of a Cybercorporation,” Electronic Commerce Advisor (September/October 1997): 5.
2. Doreen Carvajal, “The Other Battle Over Browsers: Barnes & Noble and Other On-Line Booksellers Are Poised to Challenge Amazon.com,” New York Times, March 9, 1998, www.nytimes.com/1998/03/09/business/other-battle-overbrowsers-barnes-noble-other-line-booksellers-are-poised.html.
3. Bezos spells out the value proposition in an interview in William C. Taylor, “Who's Writing the Book on Web Business?” Fast Company (October 31, 1996), www.fastcompany.com/magazine/05/starwave2.html.
4. www.theacsi.org/index.php?option=com_content&view=article&id=206:acsiscores-february&catid=14&Itemid=259.
5. “Top 100 E-Retailers: ForeSee Results Quantifies Relationship Between Customer Satisfaction and Purchase Intent,” ForeSeeResults.com, May 10, 2011, www.foreseeresults.com/news-events/press-releases/top-100-e-retailerssatisfaction-predicts-intent-spring-2011-foresee.shtml.
7. Linda Bustos, “10 Reasons Not to Copy Amazon,” GetElastic.com, July 9, 2010, www.getelastic.com/10-reasons-not-to-copy-amazon/.
8. Craig Bicknell, “Online Prices Not Created Equal.” Wired, July 9, 2000, www.wired.com/techbiz/media/news/2000/09/38622.
9. Chris Anderson, “How Web Video Powers Global Innovation,” TED Talks, September 2010, www.ted.com/talks/chris_anderson_how_web_video_powers_global_innovation.html.
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