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Igniting a knowledge renaissance: revolutionising entrepreneurial ecosystems with transactive memory systems

Author

Listed:
  • Abdollah Mohammadparst Tabas

    (University of Oulu)

  • Jonathan Mukiza Kansheba
  • Christina Theodoraki

    (AMU IAE - Institut d'Administration des Entreprises (IAE) - Aix-en-Provence - AMU - Aix Marseille Université, AMU - Aix Marseille Université, CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon)

Abstract

Purpose Prior research has extensively explored the dynamics of knowledge creation and transfer within entrepreneurial ecosystems (EEs). However, the research on knowledge integration within EEs, particularly by entrepreneurs, remains scant. Garnering and effectively using knowledge in such a dynamic and complex environment can provide entrepreneurs with a valuable asset for gaining a competitive advantage. To address this gap, this study aims to explore how entrepreneurs garner and capitalise on knowledge within the EE environment by using a transactive memory system lens. Design/methodology/approach This study is based on 26 semi-structured interviews with different actors and members of the same ecosystem – the northern Finnish health tech ecosystem. The data were analysed using the Gioia methodology. Findings This study results found that transactive memory processes (i.e. knowledge specialisation, credibility and coordination) and structures (i.e. differentiated-, shared- and meta-knowledge) influence knowledge organising in EEs. Originality/value This study provides a conceptual interplay between the EE and the transactive memory system's processes and structures.

Suggested Citation

  • Abdollah Mohammadparst Tabas & Jonathan Mukiza Kansheba & Christina Theodoraki, 2024. "Igniting a knowledge renaissance: revolutionising entrepreneurial ecosystems with transactive memory systems," Post-Print hal-04676741, HAL.
  • Handle: RePEc:hal:journl:hal-04676741
    DOI: 10.1108/JKM-08-2023-0685
    as

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