Abstract
The field of non-biological ecosystem studies is riddled with different kind of ecosystems, connections and relations of which are rarely discussed. For example, the field of software ecosystems is influenced by both natural and business ecosystems, as studies have identified a strong inspiration from both. In this study, we survey the ecosystem literature and identify how different types of ecosystems as much as their aspects appear in a wide literature scope. Using a bibliometric approach, our study reveals a literature body of 2,271 documents published from 1990 onward. Our analysis identifies 11 distinct research communities with one of them focusing on software ecosystems. Furthermore, it also reveals that, although the different communities are rather connected with each other, the software ecosystems community appears as an outlier, with little connections to other communities. When examining the software ecosystem community, consisted of 147 publications, we identify four distinct thematic clusters. We characterize these clusters by their theoretical background and uncover lack of a prevailing theoretical theme. Thus, this study calls for a formation of a research agenda for the software ecosystem field.
Original language | English |
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Title of host publication | 2017 IEEE European Technology and Engineering Management Summit (E-TEMS), Munich, 2017 |
Editors | Thomas Holzmann, Christina Weber, Robert Bierwolf |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 1-8 |
Number of pages | 8 |
ISBN (Electronic) | 978-1-5386-3721-0 |
DOIs | |
Publication status | Published - 29 Dec 2017 |
MoE publication type | A4 Article in a conference publication |
Event | 2017 IEEE European Technology and Engineering Management Summit, E-TEMS 2017 - Munich, Germany Duration: 17 Oct 2017 → 20 Oct 2017 |
Conference
Conference | 2017 IEEE European Technology and Engineering Management Summit, E-TEMS 2017 |
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Country/Territory | Germany |
City | Munich |
Period | 17/10/17 → 20/10/17 |
Keywords
- bibliometric
- research Agenda
- Software ecosystem