The Long Tail: Why the Future of Business Is Selling Less of More
By Michael A. Hitt. 2007
473 citations recorded by the source corpus.
Subfields: Political Science and International Relations
View Paper: https://www.semanticscholar.org/paper/8cf0ea1e54adb22e63c33c09b50603a6ce772c2e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Political Science and International Relations
- Youngjin Yoo
- Richard J. Boland Jr.
- Bin Jiang
- K. Hendricks
- Kalle J. Lyytinen
- Vitaly Shmatikov
- Alan T. Sorensen
- Arvind Narayanan
Citations in the corpus
- Alternative and Activist New Media (2011, unknown): “The statistical patterns and economic forces underlying mass- scale collective action have been characterized in terms of “commonsbased peer production” (Benkler, 2007), the “tipping point” (Gladwell, 2000), or “long tail” distributions (Anderson, 2008), in which the cumulation of small events can g”
- Geospatial analysis requires a different way of thinking: the problem of spatial heterogeneity (2014, background): “The Pareto distribution has been popularized as the 80/20 principle (Koch 1999) or the long tail theory (Anderson 2006) in the popular science and business literature.”
- Information and the Skewness of Music Sales (2009, background): “Anderson (2006) compared album sales offline with track sales online and found that the online demand curve is indeed much flatter.”
- How To Break Anonymity of the Netflix Prize Dataset (2006, background): “We are aware of only one previous paper that considered privacy of movie ratings.”
- Organizing for Innovation in the Digitized World (2012, background): “One interesting aspect of distributed innovations is the parallel coexistence of the " long tail " (Anderson 2006 ) of extremely specialized niche players and the " superstars " that quickly achieve global dominance as a result of their capability to integrate increasingly heterogeneous bodies of…”
- Modeling mutual feedback between users and recommender systems (2015, background): “It has been suggested that if one ranks items according to their sales and thus constructs a so-called popularityrank curve (see an example in figure 1(a)), there is a long tail which comprises a large number of niche items [10, 11].”