{"title":"开源软件项目中的知识共享机制:中西实践比较","authors":"Xiaohong Chen, D. Probert, Yuan Zhou, Jun Su","doi":"10.1504/IJTIP.2016.077257","DOIUrl":null,"url":null,"abstract":"This paper aims to analyse the key factors influencing knowledge sharing in open source software (OSS) projects. Four deep cases are analysed to develop a conceptual framework based on within-case and cross-case analysis. In terms of data collection, online (including Skype meeting, email, email-list, internet relay chat (IRC), forum, group meeting, etc.) and offline (mainly with face-to-face discussion) activities are two major platforms. The research framework is that distributed innovation (independent variable) will influence shared knowledge (medium variable) and continue to affect the performance of OSS projects (dependent variable). During distributed innovation, developers located on the supply side will affect the shared knowledge from the aspects of participative motivation, social networks and organisational culture. Meanwhile, users situated on the demand side will function from the view of user innovation. Differences and similarities of China and the West towards OSS Projects are derived from the evidence, and some implications for the Chinese approach are proposed.","PeriodicalId":52540,"journal":{"name":"International Journal of Technology Intelligence and Planning","volume":"58 1","pages":"117"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Mechanisms of knowledge sharing in open source software projects: a comparison of Chinese and Western practice\",\"authors\":\"Xiaohong Chen, D. Probert, Yuan Zhou, Jun Su\",\"doi\":\"10.1504/IJTIP.2016.077257\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper aims to analyse the key factors influencing knowledge sharing in open source software (OSS) projects. Four deep cases are analysed to develop a conceptual framework based on within-case and cross-case analysis. In terms of data collection, online (including Skype meeting, email, email-list, internet relay chat (IRC), forum, group meeting, etc.) and offline (mainly with face-to-face discussion) activities are two major platforms. The research framework is that distributed innovation (independent variable) will influence shared knowledge (medium variable) and continue to affect the performance of OSS projects (dependent variable). During distributed innovation, developers located on the supply side will affect the shared knowledge from the aspects of participative motivation, social networks and organisational culture. Meanwhile, users situated on the demand side will function from the view of user innovation. Differences and similarities of China and the West towards OSS Projects are derived from the evidence, and some implications for the Chinese approach are proposed.\",\"PeriodicalId\":52540,\"journal\":{\"name\":\"International Journal of Technology Intelligence and Planning\",\"volume\":\"58 1\",\"pages\":\"117\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Technology Intelligence and Planning\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJTIP.2016.077257\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Decision Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Technology Intelligence and Planning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJTIP.2016.077257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}
Mechanisms of knowledge sharing in open source software projects: a comparison of Chinese and Western practice
This paper aims to analyse the key factors influencing knowledge sharing in open source software (OSS) projects. Four deep cases are analysed to develop a conceptual framework based on within-case and cross-case analysis. In terms of data collection, online (including Skype meeting, email, email-list, internet relay chat (IRC), forum, group meeting, etc.) and offline (mainly with face-to-face discussion) activities are two major platforms. The research framework is that distributed innovation (independent variable) will influence shared knowledge (medium variable) and continue to affect the performance of OSS projects (dependent variable). During distributed innovation, developers located on the supply side will affect the shared knowledge from the aspects of participative motivation, social networks and organisational culture. Meanwhile, users situated on the demand side will function from the view of user innovation. Differences and similarities of China and the West towards OSS Projects are derived from the evidence, and some implications for the Chinese approach are proposed.
期刊介绍:
The IJTIP is a refereed journal that provides an authoritative source of information in the field of technology intelligence, technology planning, R&D resource allocation, technology controlling, technology decision-making processes and related disciplines.