A Multi-Dimensional Framework for Assessing the Societal Benefits of Collaborative R&I Projects Over Time
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| Názov: | A Multi-Dimensional Framework for Assessing the Societal Benefits of Collaborative R&I Projects Over Time |
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| Autori: | Brandão, Ana Sofia, Santos, José M. R. C. A. |
| Zdroj: | Emerging Science Journal; Vol. 9 No. 4 (2025): August; 2145-2161 ; 2610-9182 |
| Informácie o vydavateľovi: | Ital Publication |
| Rok vydania: | 2025 |
| Zbierka: | Emerging Science Journal (ESJ) |
| Predmety: | Collaborative Research and Innovation Projects, Societal Impact, Circular Bioeconomy, Triple Bottom Line, Science and Technology Policy |
| Popis: | This paper contributes to the ongoing discussion on assessing the actual societal benefits of collaborative research and innovation (R&I) projects, focusing specifically on Circular Bioeconomy (CBE) initiatives funded under European Interreg programs. Utilizing an abductive method aligned with a grounded theory approach, the study conducted a multiple case study of five cross-border CBE projects. Data from project leaders and secondary sources underwent inductive content analysis and were classified using the Triple Bottom Line (TBL) framework. Seven cross-cutting benefit categories emerged: capacity building, collaborative learning, community empowerment, networking, knowledge sharing, policy development, and sustainable business practices, identified as influencing results across TBL dimensions temporally. Findings reveal projects excel at generating short/medium-term outputs and outcomes strongly aligned with the social dimension, particularly through capacity building, collaborative learning, and knowledge sharing. Over time, long-term impacts demonstrate a more balanced distribution across all three TBL dimensions (social, environmental, and economic), indicating a trajectory towards broader benefits. Policy development and networking are emphasized as key drivers for achieving significant long-term, multi-dimensional impacts. This study introduces a novel, empirically grounded, multi-dimensional theoretical model. By inductively categorizing benefits and analyzing their temporal manifestation across TBL, it provides a practical framework for assessing comprehensive societal impact beyond conventional output metrics. |
| Druh dokumentu: | article in journal/newspaper |
| Popis súboru: | application/pdf |
| Jazyk: | English |
| Relation: | https://ijournalse.org/index.php/ESJ/article/view/3205/886; https://ijournalse.org/index.php/ESJ/article/view/3205 |
| Dostupnosť: | https://ijournalse.org/index.php/ESJ/article/view/3205 |
| Rights: | Copyright (c) 2025 Athors |
| Prístupové číslo: | edsbas.5DA79AF1 |
| Databáza: | BASE |
Nájsť tento článok vo Web of Science | Abstrakt: | This paper contributes to the ongoing discussion on assessing the actual societal benefits of collaborative research and innovation (R&I) projects, focusing specifically on Circular Bioeconomy (CBE) initiatives funded under European Interreg programs. Utilizing an abductive method aligned with a grounded theory approach, the study conducted a multiple case study of five cross-border CBE projects. Data from project leaders and secondary sources underwent inductive content analysis and were classified using the Triple Bottom Line (TBL) framework. Seven cross-cutting benefit categories emerged: capacity building, collaborative learning, community empowerment, networking, knowledge sharing, policy development, and sustainable business practices, identified as influencing results across TBL dimensions temporally. Findings reveal projects excel at generating short/medium-term outputs and outcomes strongly aligned with the social dimension, particularly through capacity building, collaborative learning, and knowledge sharing. Over time, long-term impacts demonstrate a more balanced distribution across all three TBL dimensions (social, environmental, and economic), indicating a trajectory towards broader benefits. Policy development and networking are emphasized as key drivers for achieving significant long-term, multi-dimensional impacts. This study introduces a novel, empirically grounded, multi-dimensional theoretical model. By inductively categorizing benefits and analyzing their temporal manifestation across TBL, it provides a practical framework for assessing comprehensive societal impact beyond conventional output metrics. |
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