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

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Author

Summary, in English

[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.

Publishing year

2016-03-04

Language

English

Pages

63-81

Publication/Series

Lecture Notes in Computer Science

Volume

9619

Document type

Conference paper

Topic

  • Software Engineering

Conference name

International Working Conference on Requirements Engineering: Foundation for Software Quality, 2016

Conference date

2016-03-14 - 2016-03-17

Conference place

Göteborg, Sweden

Status

Published

Project

  • Synthesis of a Software Engineering Framework for Open Innovation through Empirical Research

ISBN/ISSN/Other

  • ISSN: 0302-9743
  • ISBN: 978-3-319-30282-9
  • ISBN: 978-3-319-30281-2