Integrating Business, Social, and Environmental Goals in Open Innovation through Partner Selection
| Autor: | Helena V. G. Navas, Ricardo Santos, José Moleiro Martins, José Soares, Pedro Marques |
|---|---|
| Přispěvatelé: | DEMI - Departamento de Engenharia Mecânica e Industrial, UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Knowledge management
Geography Planning and Development Energy Engineering and Power Technology TJ807-830 Environmental Science (miscellaneous) Management Monitoring Policy and Law TD194-195 Collaboration networks Renewable energy sources partner selection collaboration networks GE1-350 SDG 7 - Affordable and Clean Energy sustainability new product development (NPD) fuzzy logic Selection (genetic algorithm) Open innovation Environmental effects of industries and plants Renewable Energy Sustainability and the Environment business.industry Building and Construction Fuzzy logic New product development (NPD) Environmental sciences Sustainability Partner selection SDG 9 - Industry Innovation and Infrastructure Business |
| Zdroj: | Sustainability; Volume 13; Issue 22; Pages: 12870 Sustainability, Vol 13, Iss 12870, p 12870 (2021) Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su132212870 |
| Popis: | Although collaborative networks (CN) are widespread in academia and have come to be even more used in corporations all over the world, they still face several challenges on behalf of the new product development (NPD) context, especially in regard to the selection of the CN’s right partner. This becomes even more evident when it comes to promoting sustainable development goals within a CN’s activities, by selecting the right partners with a wide consensus from a CN’s management board, avoiding, therefore, the subjectivity around managers’ perception of a CN’s partner selection. Therefore, this work attempts to answer this problem, by presenting a soft-computing-based framework, to support the managers’ board on partner search and selection. The method presented here is further assessed by using a case study, based on the development of a green product, where, according to the obtained results, it is demonstrated that the proposed approach is extremely effective for partner selection, by assessing and prioritizing each candidate involved. The most suitable candidate that fulfills the CN’s requirements is then selected to be integrated as a future partner. |
| Databáze: | OpenAIRE |
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