ACTIVE METHODOLOGIES AS INCENTIVE TO INNOVATIVE AND OPEN BEHAVIOR
Open innovation (AI) is a new path for managing innovation in companies and maintaining competitiveness. In this model, companies use internal ideas and, through partnerships, the innovative capacity of external sources. Among the advantages there is a reduction: in the time for innovation, costs and risks. Despite the advantages, there are barriers to adoption that can be minimized by training teams in concepts and practices. This article aims to show that the use of active methodologies creates learning situations that can encourage the adoption of AI practices and stimulate a positive view of this business model in undergraduates, expanding their skills in professional practice. A bibliographical research was carried out, related to AI practices and active methodologies and a case study with 6 management course classes of a higher education institution in the interior of the state of São Paulo. The results showed that the use of active methodologies had a positive impact on the evaluation of AI and the adoption of its practices. Among the main results are: expansion of the positive view regarding the involvement of internal teams (not just R&D), customers and suppliers in innovation processes; the need to expand knowledge regarding intellectual property; improvement of interpersonal relationships in future interactions with partners.
ACTIVE METHODOLOGIES AS INCENTIVE TO INNOVATIVE AND OPEN BEHAVIOR
-
DOI: 10.22533/at.ed.3173162311056
-
Palavras-chave: OPEN INNOVATION (AI); ACTIVE METHODOLOGIES, COMPETENCIES.
-
Keywords: OPEN INNOVATION (AI); ACTIVE METHODOLOGIES, COMPETENCIES.
-
Abstract:
Open innovation (AI) is a new path for managing innovation in companies and maintaining competitiveness. In this model, companies use internal ideas and, through partnerships, the innovative capacity of external sources. Among the advantages there is a reduction: in the time for innovation, costs and risks. Despite the advantages, there are barriers to adoption that can be minimized by training teams in concepts and practices. This article aims to show that the use of active methodologies creates learning situations that can encourage the adoption of AI practices and stimulate a positive view of this business model in undergraduates, expanding their skills in professional practice. A bibliographical research was carried out, related to AI practices and active methodologies and a case study with 6 management course classes of a higher education institution in the interior of the state of São Paulo. The results showed that the use of active methodologies had a positive impact on the evaluation of AI and the adoption of its practices. Among the main results are: expansion of the positive view regarding the involvement of internal teams (not just R&D), customers and suppliers in innovation processes; the need to expand knowledge regarding intellectual property; improvement of interpersonal relationships in future interactions with partners.
- CLAUDIA MARIA NAPOLITANO SANCHEZ MORASCO
- VERA MARIZA HENRIQUES DE MIRANDA COSTA