Implementing open innovation in research and technology organisations: Approaches and impact

Artikel

Research and development organisations (RTOs) are at the heart of innovation systems. They help to connect innovation system actors to foster industrial innovation. Due to this intermediary role, they act as paradigmatic open innovation (OI) actors. In this context, RTOs need to balance their knowledge stocks and flows, while assuring their own innovation capabilities and positively impacting the innovation system they influence. Thus, RTOs need to develop collaboration approaches that support their own performance while increasing their capabilities and not threatening their competitive advantages derived from their knowledge stock. In this study we extend the OI research to research organisations analysing their OI approach and the impact on its own performance, developing a new framework for OI study in RTOs using a partial least squares structural equation modelling (PLS-SEM) approach. The research, based on a sample of Spanish RTOs, arises two substantive conclusions. First, an increased number of collaboration partners (collaboration breadth) and the use of a variety of OI practices have a strong impact on RTOs' overall performance (scientific, transference, and economic results). Second, RTOs need to foster their aperture and promote an active management to benefit from collaborating partners, whereas managers should pay special attention to questions related to the protection and management of intellectual property when promoting the use of different OI practices. Both results also emphasise the importance of managing firms' knowledge flows in the implementation of OI in RTOs.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Journal: Journal of Open Innovation: Technology, Market, and Complexity ; ISSN: 2199-8531 ; Volume: 5 ; Year: 2019 ; Issue: 4 ; Pages: 1-25 ; Basel: MDPI

Klassifikation und Themen

• Klassifikation: Management
• Thema: open innovation ; partial least squares ; performance ; research and technology organisations ; structural equation modelling

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Uribe-Echeberria, Ramon ; Igartua, Juan Ignacio ; Lizarralde, Rafael
• Ereignis: Veröffentlichung
• (wer): MDPI
• (wo): Basel
• (wann): 2019

Weitere Informationen

• DOI: doi:10.3390/joitmc5040091
• Handle: http://hdl.handle.net/10419/241366
• Letzte Aktualisierung: 10.03.2025, 11:43 MEZ