Aristotle vs. Ringelmann: On superlinear production in open source software

Thomas Maillart and Didier Sornette

Physica A: Statistical Mechanics and its Applications, 2019, vol. 523, issue C, 964-972

Abstract: Organizations exist because they provide additional production gains, in comparison to horizontal ways of allocating resources, such as markets (Coase, 1937), and the open source movement is deemed to be a new kind of peer-production organization somehow in between hierarchically organized firms and markets (Benkler, 2002). However, to strive as a new kind of organization, open source must provide production gains, which in turn should be measurable. The open source movement is particularly interesting to study for this reason. Here, we confront and discuss two contrasting views, which were reported in the literature recently. On the one hand, Sornette et al. (2014) uncovered a superlinear production mechanism, which quantifies Aristotle adage: “the whole is more than the sum of its parts”. On the other hand, Scholtes et al. (2016) found opposite results, and referred to Maximilien Ringelmann, a French agricultural engineer (1861–1931), who discovered the tendency for individual members of a group to become increasingly less productive as the size of their group increases (Ringelmann, 1913). Since Ringelmann, the topic of collective intelligence has interested numbers of researchers in social sciences and social psychology (Woolley et al., 2010), as well as practitioners in management aiming at improving the performance of their team (Woolley et al., 2015). In most research and practice case studies, the Ringelmann effect has been found to hold, while, in contrast, the superlinear effect found by Sornette et al. is novel and may challenge common wisdom (Sornette et al., 2014). Here, we compare these two theories, weigh their strengths and weaknesses, and discuss how they have been tested with empirical data. We find that they may not contradict each other as much as was claimed by Scholtes et al. (2016).

Keywords: Critical cascades; Superlinear productivity; Group productivity; Social dynamics; Collective intelligence (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437119304819
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:523:y:2019:i:c:p:964-972

DOI: 10.1016/j.physa.2019.04.130

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().