遵循守则:溢出效应和知识转移

IF 0.9 4区 经济学 Q3 ECONOMICS
Neil Gandal, Peter Naftaliev, Uriel Stettner
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引用次数: 2

摘要

开源软件中的知识溢出可以通过两个渠道发生:在第一个渠道中,程序员从他们从事的一个开源软件项目中获得知识和经验,并将其应用到他们从事的另一个开源软件项目中。在第二个通道中,程序员通过从OSS项目中获取代码并在另一个项目中使用它来重用软件代码。我们开发了一种方法来在微观层面上度量大型OSS网络中的软件重用,并表明重用其他项目代码的项目有更高的成功。我们还展示了通过共同程序员连接的项目的知识溢出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Following the Code: Spillovers and Knowledge Transfer
Abstract Knowledge spillovers in Open Source Software (OSS) can occur via two channels: In the first channel, programmers take knowledge and experience gained from one OSS project they work on and employ it in another OSS project they work on. In the second channel, programmers reuse software code by taking code from an OSS project and employing it in another. We develop a methodology to measure software reuse in a large OSS network at the micro level and show that projects that reuse code from other projects have higher success. We also demonstrate knowledge spillovers from projects connected via common programmers.
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
1
期刊介绍: The Review of Network Economics seeks to help policy makers, academics, and practitioners keep informed of new research and policy debate in network economics and related subjects that are relevant to the study of network industries. By publishing high quality research on topical issues relevant to network industries, it is hoped readers will be able to gain a deeper understanding of the economic issues involved and that this will improve the quality of decision making by private and public organisations, and debate among researchers. The articles can cover specific network industries, or may deal with general issues that have relevance to a number of different network industries, including topics in the economics of networks, regulation, competition law, or industrial organisation. Papers that provide insights into policy debates are especially welcome, as are up-to-date surveys, book reviews, and comments.
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