Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 8 Decent Work and Economic Growth
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 10 Reduced Inequalities
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Dive into the research topics where Jacopo Canello Canello is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Research output
- 16 Article
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Beyond the giants: the hidden role of micro and small enterprises in GVC reconfiguration dynamics
Canello, J., Landini, F. & Tredicine, L., Sept-2025, In: Journal of International Business Policy. 8, 3, p. 251-269 19 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Citation (Scopus) -
Explaining the multifaceted patterns of migrant firms in the global economy: A resource-based approach
Arrighetti, A. & Canello, J., Dec-2025, In: International Journal of Entrepreneurial Behaviour and Research. 31, 11, p. 273-292 20 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile8 Downloads (Pure) -
Firm interconnectedness and resilience: evidence from the Italian manufacturing
Shaheen, I., Brakman, S., Canello, J. & Garretsen, H., Mar-2025, In: Cambridge Journal of Regions, Economy and Society. 18, 1, p. 211–226 16 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile3 Citations (Scopus)52 Downloads (Pure) -
Globalisation in flux: examining the role of inter-regional linkages in building regional resilience
Shaheen, I., Brakman, S., Canello, J. & Garretsen, H., 2025, In: Regional Studies, Regional Science. 12, 1, p. 943-962 20 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Downloads (Pure) -
Identifying and Mapping Industrial Districts Through a Spatially Constrained Cluster-Wise Regression Approach
Canello, J., Vidoli, F., Fusco, E. & Giudice, N., Mar-2025, In: Journal of Regional Science. 65, 2, p. 403-428 26 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile34 Downloads (Pure)