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ZENODO
Preprint . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Knowledge dynamics and makerspaces: proximities and local development in the Central Europe

Authors: Danko, Lukas; Micek, Grzegorz; Kapustka, Karolina;

Knowledge dynamics and makerspaces: proximities and local development in the Central Europe

Abstract

The rationale behind this working paper is reflected in the investigation of knowledge partners and the role of proximities through makerspaces. Hence, these spaces are creating a positive impact on creating a cultural change by encouraging entrepreneurship in the community, support small business growth, and increase workforce retention. Therefore, the focus is on the knowledge partners and the local growth, in the selected Central European countries (Poland, Czechia, Slovakia), where makerspaces have seen a more significant increase. Furthermore, the paper aims to shed some light on both direct and indirect effects of makerspaces on local development. The research design is based on empirical qualitative analysis of primary data gathered through semi-structured interviews with stakeholders in makerspaces. The novelty of our empirical research is reflected in identifying spatial scales to distinguish the role of proximity in knowledge transfer through makerspaces. The working paper presents policy implications to nurture different knowledge flows in and its role in local development. Furthermore, the research reflects on the knowledge transmission among the central knowledge partners considering different proximities.

Keywords

makerspacaes, Central Europe, knowledge dynamics, proximity, Local development

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green