About the Author. Rédacteur en chef du magazine Wired, Chris Anderson est un des penseurs de la nouvelle économie de l’ère numérique. Avant de prendre la. La Longue Traîne: Comment Internet a bouleversé les lois du commerce Chris Anderson is Editor-in-Chief of Wired magazine, a position he’s held since Buy La longue traine by Chris Anderson from Waterstones today! Click and Collect from your local Waterstones or get FREE UK delivery on orders over £

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Unlimited selection is revealing truths about what consumers want and how they want to get it, from DVDs at Netflix to songs on iTunes to advertising on Google. This book looks at how the Internet has allowed for a boom in such niche-market products.

Looked at from the producers’ side, the long tail has made possible a flowering of creativity across all fields of human endeavour. Most widely held works about Chris Anderson.

Chris Anderson de Wired sur la Longue Traîne technologique | TED Talk

Download the audiobook of Free for free! Amazon Anderskn Chance Pass it on, trade it in, give it a second life. By using this site, you agree to the Terms of Use and Privacy Policy. Where inventory storage and distribution costs are insignificant, it becomes economically viable to sell relatively unpopular products; however, when storage and distribution costs are high, only the most popular products can be sold.

Details inside the book. Retrieved from ” https: Andersln curves Tails of probability distributions Statistical laws E-commerce. Get to Know Us.

Anderson explores this radical idea for the new economy, and demonstrates how this revolutionary price can be harnessed for the benefit of both consumers and business alike. Anderson described the rtaine of the long tail on current and future business models beginning with a series of speeches in early and with the publication of a Wired magazine article in October Because online video rental provider such as Amazon.


Anderson, Chris [WorldCat Identities]

Frequency distributions with long tails have been studied by statisticians since at least This can, in turn, have the effect of reducing demand for the most popular products. In “long-tailed” distributions a high-frequency or high-amplitude population is followed by a low-frequency or low-amplitude population which gradually “tails off” asymptotically.

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In situations where popularity is currently determined by the lowest common denominator, a long-tail model may lead to improvement in a society’s level of culture. In this way, the long tail opens up a large space for andwrson works of creativity.

United Nations Capital Development Fund. Using R for Introductory Statistics. If you are a seller for this product, would you like to suggest updates through seller support? Get fast, free shipping with Amazon Prime. For example, a traditional movie rental store has limited shelf space, which it pays for in the form of building overhead ; to maximize its profits, it must stock only the most popular movies to ensure that no shelf space is wasted.

In those cases the infrequent, low-amplitude or low-revenue events — the long tail, represented here by the portion of the curve to the right of the 20th percentile — can become anedrson largest area under the line.

An empirical investigation on online software downloads. It also is a business model that fills an important developmental role in an economy.

La longue traine : quand vendre moins, c’est vendre plus

Consumers’ reliance on online user reviews to choose products is significantly influenced by the quantity of products available. The authors also look toward the future to discuss second-order, amplified effects of Long Tail, including the growth of markets serving smaller niches. These factors have been transformed by easy and cheap web site software and the spread of RSS. These may not always attract the highest level of viewership, but their business distribution models make that of less importance.


They used a theoretical hraine to show how a reduction in search costs will affect the concentration in product sales. An Amazon employee described the long tail as follows: But where the long tail works, minority tastes become available and individuals are presented with a wider array of choices.

Lnogue and Shirky refer to frequency-rank relations, whereas the Gutenberg—Richter law and the Zipf’s law are probability distributions. A study by Anita Elberseprofessor of business administration at Harvard Business Schoolcalls the long tail theory into question, citing sales data which shows that the Web magnifies the importance of blockbuster hits. In other words, by proceeding further oa further into the long tail, sales may become so small that the marginal cost of tracking them in longie order, even at a digital scale, might be optimised well before a million titles, and certainly before infinite titles.

Makers is about how all that is being reversed. ComiXology Thousands of Digital Comics. Anderson responded by stating that the study’s findings are difficult to assess without access to its data.