{"title":"遵循守则:溢出效应和知识转移","authors":"Neil Gandal, Peter Naftaliev, Uriel Stettner","doi":"10.1515/rne-2017-0056","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":45659,"journal":{"name":"Review of Network Economics","volume":"20 1","pages":"243 - 267"},"PeriodicalIF":0.9000,"publicationDate":"2017-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Following the Code: Spillovers and Knowledge Transfer\",\"authors\":\"Neil Gandal, Peter Naftaliev, Uriel Stettner\",\"doi\":\"10.1515/rne-2017-0056\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":45659,\"journal\":{\"name\":\"Review of Network Economics\",\"volume\":\"20 1\",\"pages\":\"243 - 267\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2017-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Review of Network Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1515/rne-2017-0056\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Review of Network Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1515/rne-2017-0056","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
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.
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.