Open Source Software Production, Spontaneous Input, and Organizational Learning

Giampaolo Garzarelli and Riccardo Fontanella

MPRA Paper from University Library of Munich, Germany

Abstract: This work shows that the modular organization of voluntary Open Source Software (OSS) production, whereby programmers supply effort of their accord, capitalizes more on division than on specialization of labor. This is so because voluntary OSS production is characterized by an organizational learning process that dominates the individual one. Organizational learning reveals production choices that would otherwise remain unknown, thereby increasing productivity and indirectly reinforcing incentives to undertake collective problem solving.

Keywords: Division of Labor; Mistake-ridden Learning; Modularity; Open Source Software; Self-selection; Voluntary Production (search for similar items in EconPapers)
JEL-codes: D20 L17 L23 (search for similar items in EconPapers)
Date: 2010
New Economics Papers: this item is included in nep-cbe, nep-ipr, nep-pr~ and nep-knm
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Related works:
Journal Article: Open Source Software Production, Spontaneous Input, and Organizational Learning (2011)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:22949

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