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Ecosystem Emergence and Founding Conditions - Lessions Learned from an Imprinting Perspective

  • The rise of ecosystem prominence has provided several definitions of how we understand ecosystems nowadays. In this context, several scholars have considered influencing factors for ecosystem emergence. This paper addresses this consideration and analyzes the salient characteristics of different ecosystem types and their potential persistence since ecosystem founding to improve the understanding of emergence. We applied a three-step approach (1) identifying ecosystem types based on bibliometric analysis, (2) exploring salient characteristics per ecosystem type using qualitative content analysis and (3) deriving founding conditions from the salient characteristics following a conceptual approach. Based on a bibliometric analysis, we identified business/innovation, entrepreneurial and service ecosystems. In a second step, we developed salient characteristics within the themes of structure, power constellation/interdependencies and governance by inductive coding. As we identified a significant difference in alignment structure, we analyzed if alignment structure persists since ecosystem origin and explains why ecosystems differ. We analyzed potential pairings between alignment structure and their respective founding condition for every ecosystem type. With the alignment structures’ persistence, we can better understand why ecosystem types differ.

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Metadaten
Verfasserangaben:Philipp DamwerthORCiD, Norbert Bach, Wolfgang Buchholz
Dokumentart:Beitrag in einer Konferenzveröffentlichung
Sprache:Englisch
Datum der Veröffentlichung (online):21.09.2022
Jahr der Erstveröffentlichung:2022
Betreiber des Publikationsservers:FH Münster - University of Applied Sciences
Datum der Freischaltung:21.09.2022
Freies Schlagwort / Tag:bibliometric analysis; ecosystem emergence; ecosystems; founding conditions; imprinting
Fachbereiche:Wirtschaft (MSB)
Publikationsliste:Buchholz, Wolfgang
Damwerth, Philipp
Lizenz (Deutsch):License LogoBibliographische Daten