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Wealthy, Healthy and/or Happy — What does ‘Ecosystem Health’ Stand for?

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Software Business (ICSOB 2015)

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Abstract

The health of a software ecosystem is argued to be a key indicator of well-being, longevity and performance of a network of companies. In this paper, we address what scientific literature actually means with the concept of ‘ecosystem health’ by selecting relevant articles with systematic literature review. Based on the final set of 38 papers, we found that despite a common base, the term has been used to depict a wide range of hoped characteristics of a software ecosystem. However, the number of studies addressing the topic is shown to grow while empirical studies are still rare. Thus, further studies should aim to standardize the terminology and concepts in order to create a common base for future work. Further work is needed also to develop early indicators that warn and guides companies on problems with their ecosystems.

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Authors and Affiliations

  1. Department of Information Technology, University of Turku, Turku, Finland

    Sami Hyrynsalmi & Antero Järvi

  2. Department of Pori, Tampere University of Technology, Tampere, Finland

    Marko Seppänen

  3. Turku School of Economics, Department of Management and Entrepreneurship, University of Turku, Turku, Finland

    Tiina Nokkala

  4. Innovation and Knowledge Economy, VTT Technical Research Centre of Finland, Turku, Finland

    Arho Suominen

Authors
  1. Sami Hyrynsalmi
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  2. Marko Seppänen
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  3. Tiina Nokkala
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  4. Arho Suominen
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  5. Antero Järvi
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Correspondence to Sami Hyrynsalmi .

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Editors and Affiliations

  1. University of Minho, Braga, Portugal

    João M. Fernandes

  2. University of Minho, Guimarães, Portugal

    Ricardo J. Machado

  3. Blekinge Institute of Technology, Karlskrona, Sweden

    Krzysztof Wnuk

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Hyrynsalmi, S., Seppänen, M., Nokkala, T., Suominen, A., Järvi, A. (2015). Wealthy, Healthy and/or Happy — What does ‘Ecosystem Health’ Stand for?. In: Fernandes, J., Machado, R., Wnuk, K. (eds) Software Business. ICSOB 2015. Lecture Notes in Business Information Processing, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-19593-3_24

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  • DOI: https://doi.org/10.1007/978-3-319-19593-3_24

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19592-6

  • Online ISBN: 978-3-319-19593-3

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