Artikel

Open innovation in SMEs: Potential and realized absorptive capacity for interorganizational learning in dyad collaborations with academia

Due to a variety of barriers to develop innovation, small and medium enterprises (SMEs) find it necessary to collaborate with external sources of knowledge. The current study analyses the collaboration between SMEs and academia over an open innovation setting in Mexico. An absorptive capacity (ACAP) approach has been applied to understanding the process of developing new knowledge for achieving innovation. A two-part questionnaire was developed with the aim of assessing the ACAP of a new joint research unit. Data was collected from a local group of SMEs that collaborated as dyads with academia supported by a government program of innovation in Mexico. The result shows that there was a moderate potential and realized ACAP in the sample; these results are mutually related with both parts of the questionnaire which supports our findings. In conclusion, exploitation of new knowledge is a complex dimension for creating value from collaboration, which makes the outcome difficult to measure using traditional means. It can be argued that exploiting new knowledge for innovation is an iterative process of learning when exploring new sources of knowledge from academia.

Language
Englisch

Bibliographic citation
Journal: Journal of Open Innovation: Technology, Market, and Complexity ; ISSN: 2199-8531 ; Volume: 5 ; Year: 2019 ; Issue: 3 ; Pages: 1-14 ; Basel: MDPI

Classification
Management
Subject
absorptive capacity
collaboration
exploitation
joint research unit
open innovation
SMEs

Event
Geistige Schöpfung
(who)
Avalos-Quispe, Grover Alfredo
Hernández-Simón, Luis Manuel
Event
Veröffentlichung
(who)
MDPI
(where)
Basel
(when)
2019

DOI
doi:10.3390/joitmc5030072
Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Avalos-Quispe, Grover Alfredo
  • Hernández-Simón, Luis Manuel
  • MDPI

Time of origin

  • 2019

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