Bibliometric study of approaches to studying collective intelligence for sustainable territorial innovation

Collective intelligence and collaborative innovation are two closely related but distinct concepts. By combining the two, actors in a supportive entrepreneurial ecosystem can generate knowledge, ideas and innovative solutions based on active participation and synergy to solve complex problems. The aim of this article is to provide an in-depth and detailed overview of collective intelligence and collaborative innovation in previous literature and how they are mobilized and combined to address the challenges of sustainable development. Moreover, this study aims to explore the methods and approaches adopted in research carried out in this field. A scoping review following a systematic literature approach was carried out using the PRISMA-ScR method. 78 scientific articles were selected between 2013 and 2023 from two online databases. To achieve our objectives, our research questions were subdivided into 4 tasks and missions. By following our research process and strategy, and after conducting a review of the different phases of our research, the results enabled us to inform and inform about the evolution, origin and development of our subject in a spatiotemporal context. In addition, the analysis revealed a diversity of research approaches and methods totalling 17. We should also mention that artificial intelligence and technology were clearly the themes most frequently dominated in the 10 most relevant articles. The current state of the art shows that no systematic literature review on collective intelligence and collaborative innovation in territorial development has proposed an exhaustive list of the specific methods and approaches addressed in the course of this subject.

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Publication Details

Journal
Multidisciplinary Reviews
Published
2024-12-10
DOI
https://doi.org/10.31893/multirev.2025158
Citations
1
Primary Topic
University-Industry-Government Innovation Models
Type
article
Field-Weighted Citation Impact
0.73
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article

Bibliometric study of approaches to studying collective intelligence for sustainable territorial innovation

Najib Zerrad, Kamal Bouachri
1 citations
Multidisciplinary Reviews
University-Industry-Government Innovation Models
0.73
article

Bibliometric study of approaches to studying collective intelligence for sustainable territorial innovation

Najib Zerrad, Kamal Bouachri
article en
1 citations

Abstract

Collective intelligence and collaborative innovation are two closely related but distinct concepts. By combining the two, actors in a supportive entrepreneurial ecosystem can generate knowledge, ideas and innovative solutions based on active participation and synergy to solve complex problems. The aim of this article is to provide an in-depth and detailed overview of collective intelligence and collaborative innovation in previous literature and how they are mobilized and combined to address the challenges of sustainable development. Moreover, this study aims to explore the methods and approaches adopted in research carried out in this field. A scoping review following a systematic literature approach was carried out using the PRISMA-ScR method. 78 scientific articles were selected between 2013 and 2023 from two online databases. To achieve our objectives, our research questions were subdivided into 4 tasks and missions. By following our research process and strategy, and after conducting a review of the different phases of our research, the results enabled us to inform and inform about the evolution, origin and development of our subject in a spatiotemporal context. In addition, the analysis revealed a diversity of research approaches and methods totalling 17. We should also mention that artificial intelligence and technology were clearly the themes most frequently dominated in the 10 most relevant articles. The current state of the art shows that no systematic literature review on collective intelligence and collaborative innovation in territorial development has proposed an exhaustive list of the specific methods and approaches addressed in the course of this subject.

Multidisciplinary ReviewsVol. 8(5)
Sidi Mohamed Ben Abdellah University (MA)
Openalex Percentile: Top 20%
University-Industry-Government Innovation Models
0.73
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