A taxonomy of innovation spaces from the innovation networks lens

Collaborative innovation addresses intricate, multifaceted problems of a systemic nature involving a multitude of actors with diverse and often unknown expectations. To facilitate this collaboration, innovation spaces—such as Makerspaces, Hackerspaces, Fablabs, among others—have emerged as arenas wh...

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Tipo de recurso:
Fecha de publicación:
2024
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/44786
Acceso en línea:
https://doi.org/10.1186/s13731-024-00383-7
https://repository.urosario.edu.co/handle/10336/44786
Palabra clave:
Innovation spaces
Innovation networks
Taxonomy
Domain analysis
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Attribution-NonCommercial-NoDerivatives 4.0 International
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spelling 106947350094ce5fd9-b2fa-4a51-ab73-5eb34f33e52910987060936002025-01-26T18:26:44Z2025-01-26T18:26:44Z2024-12-012024-12-01Collaborative innovation addresses intricate, multifaceted problems of a systemic nature involving a multitude of actors with diverse and often unknown expectations. To facilitate this collaboration, innovation spaces—such as Makerspaces, Hackerspaces, Fablabs, among others—have emerged as arenas where networks of actors interconnect and solidify. Understanding the diverse nature of these innovation spaces poses a challenge, particularly in distinguishing their specific characteristics and assessing how each contributes to fostering innovative networks. This article aims to address the question: how can we classify innovation spaces based on the innovation networks they constitute? To tackle this query, we initially conducted an in-depth exploration of various innovation spaces through web content analysis, scrutinizing their individual value propositions. Subsequently, employing innovation network theory alongside domain analysis methodology, we proposed a taxonomy designed to classify the distinct types of innovation spaces under scrutiny. Our taxonomy reveals three types of spaces—learn-and-explore, partner-and impact, and transitory—as well as convergent and divergent spaces, showing the diversity and complexity of networks they constitute. The findings also show that while the majority of innovation spaces unite diverse actors to drive collaboration and innovation, many resulting networks have a medium level of formality and are project-centric. These networks tend to be synthetic in nature, seeking to apply existing knowledge, and represent exploration networks wherein the adaptability and diversity of initiatives foster learning, the acquisition of new knowledge, and the development of fresh capacities through interactions.application/pdfhttps://doi.org/10.1186/s13731-024-00383-7https://repository.urosario.edu.co/handle/10336/44786engJournal of Innovation and EntrepreneurshipJournal of Innovation and EntrepreneurshipAttribution-NonCommercial-NoDerivatives 4.0 InternationalAbierto (Texto Completo)http://creativecommons.org/licenses/by-nc-sa/4.0/http://purl.org/coar/access_right/c_abf2Journal of Innovation and Entrepreneurshipinstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURInnovation spacesInnovation networksTaxonomyDomain analysisA taxonomy of innovation spaces from the innovation networks lensarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Montes de la Barrera, José OrlandoBatz Lineiro, AglayaSerrano Cárdenas, Lizeth FernandaORIGINALA_taxonomy_of_innovation_spaces_from_the_innovation_networks_lens.pdfapplication/pdf1945537https://repository.urosario.edu.co/bitstreams/5ae8b2b5-9dd1-4e78-bf28-2761758e3096/download6fa963bacb7dced073a4b42437a65a49MD51TEXTA_taxonomy_of_innovation_spaces_from_the_innovation_networks_lens.pdf.txtA_taxonomy_of_innovation_spaces_from_the_innovation_networks_lens.pdf.txtExtracted texttext/plain91549https://repository.urosario.edu.co/bitstreams/3bc17c91-e82e-47e1-895d-75a07c81ed26/downloadee205daac82b7e3f73a0925be00dfe62MD52THUMBNAILA_taxonomy_of_innovation_spaces_from_the_innovation_networks_lens.pdf.jpgA_taxonomy_of_innovation_spaces_from_the_innovation_networks_lens.pdf.jpgGenerated Thumbnailimage/jpeg3936https://repository.urosario.edu.co/bitstreams/5ebb4a3e-bf68-4884-9697-cbdba28b1f3b/download032a54d6c1bd6c3e4539a961200be538MD5310336/44786oai:repository.urosario.edu.co:10336/447862025-01-27 03:00:59.182http://creativecommons.org/licenses/by-nc-sa/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttps://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv A taxonomy of innovation spaces from the innovation networks lens
title A taxonomy of innovation spaces from the innovation networks lens
spellingShingle A taxonomy of innovation spaces from the innovation networks lens
Innovation spaces
Innovation networks
Taxonomy
Domain analysis
title_short A taxonomy of innovation spaces from the innovation networks lens
title_full A taxonomy of innovation spaces from the innovation networks lens
title_fullStr A taxonomy of innovation spaces from the innovation networks lens
title_full_unstemmed A taxonomy of innovation spaces from the innovation networks lens
title_sort A taxonomy of innovation spaces from the innovation networks lens
dc.subject.spa.fl_str_mv Innovation spaces
Innovation networks
Taxonomy
Domain analysis
topic Innovation spaces
Innovation networks
Taxonomy
Domain analysis
description Collaborative innovation addresses intricate, multifaceted problems of a systemic nature involving a multitude of actors with diverse and often unknown expectations. To facilitate this collaboration, innovation spaces—such as Makerspaces, Hackerspaces, Fablabs, among others—have emerged as arenas where networks of actors interconnect and solidify. Understanding the diverse nature of these innovation spaces poses a challenge, particularly in distinguishing their specific characteristics and assessing how each contributes to fostering innovative networks. This article aims to address the question: how can we classify innovation spaces based on the innovation networks they constitute? To tackle this query, we initially conducted an in-depth exploration of various innovation spaces through web content analysis, scrutinizing their individual value propositions. Subsequently, employing innovation network theory alongside domain analysis methodology, we proposed a taxonomy designed to classify the distinct types of innovation spaces under scrutiny. Our taxonomy reveals three types of spaces—learn-and-explore, partner-and impact, and transitory—as well as convergent and divergent spaces, showing the diversity and complexity of networks they constitute. The findings also show that while the majority of innovation spaces unite diverse actors to drive collaboration and innovation, many resulting networks have a medium level of formality and are project-centric. These networks tend to be synthetic in nature, seeking to apply existing knowledge, and represent exploration networks wherein the adaptability and diversity of initiatives foster learning, the acquisition of new knowledge, and the development of fresh capacities through interactions.
publishDate 2024
dc.date.created.spa.fl_str_mv 2024-12-01
dc.date.issued.spa.fl_str_mv 2024-12-01
dc.date.accessioned.none.fl_str_mv 2025-01-26T18:26:44Z
dc.date.available.none.fl_str_mv 2025-01-26T18:26:44Z
dc.type.spa.fl_str_mv article
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url https://doi.org/10.1186/s13731-024-00383-7
https://repository.urosario.edu.co/handle/10336/44786
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartof.spa.fl_str_mv Journal of Innovation and Entrepreneurship
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