论文标题

企业如何在开源生态系统中适应和互动:分析利益相关者的影响与协作模式

How Firms Adapt and Interact in Open Source Ecosystems: Analyzing Stakeholder Influence and Collaboration Patterns

论文作者

Linåker, Johan, Rempel, Patrick, Regnell, Björn, Mäder, Patrick

论文摘要

[上下文和动机]作为开源软件(OSS)开发的生态系统被认为是高度创新性的,并且由于其开放性和广泛的贡献者基础,因此对新的市场趋势具有反应性。参与OSS通常意味着要开放软件开发过程,并向新利益相关者展示。 [问题/问题]考虑参与这种环境的企业应仔细考虑预先考虑潜在的机会和挑战。开放性可能会导致更高的创新潜力,但也会造成敬业的公司的摩擦损失。此外,随着生态系统的发展,功率结构和对特征选择的影响可能会相应波动。 [主要思想/结果]我们在定量的纵向案例研究中分析了Apache Hadoop生态系统,以研究不断变化的利益相关者的影响力和协作模式。此外,我们研究了其创新和市场时间如何同时发展。 [贡献]调查结果表明,在竞争和非竞争企业之间的合作和影响转移。网络分析证明了如何在权力结构和协作方面对过去,现在和新兴利益相关者的认识有价值。此外,生态系统的创新和上市时间在发行历史上显示出很大的差异。还发现这些特征受利益相关者之间如何合作的方式影响这些特征。

[Context and motivation] Ecosystems developed as Open Source Software (OSS) are considered to be highly innovative and reactive to new market trends due to their openness and wide-ranging contributor base. Participation in OSS often implies opening up of the software development process and exposure towards new stakeholders. [Question/Problem] Firms considering to engage in such an environment should carefully consider potential opportunities and challenges upfront. The openness may lead to higher innovation potential but also to frictional losses for engaged firms. Further, as an ecosystem progresses, power structures and influence on feature selection may fluctuate accordingly. [Principal ideas/results] We analyze the Apache Hadoop ecosystem in a quantitative longitudinal case study to investigate changing stakeholder influence and collaboration patterns. Further, we investigate how its innovation and time-to-market evolve at the same time. [Contribution] Findings show collaborations between and influence shifting among rivaling and non-competing firms. Network analysis proves valuable on how an awareness of past, present and emerging stakeholders, in regards to power structure and collaborations may be created. Furthermore, the ecosystem's innovation and time-to-market show strong variations among the release history. Indications were also found that these characteristics are influenced by the way how stakeholders collaborate with each other.

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