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Collaborative know-how and trust in university–industry collaborations: empirical evidence from ICT firms

Author

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  • Emilio Bellini

    (University of Sannio
    Polytechnic University of Milan)

  • Giuseppe Piroli

    (European Commission, DG Employment, Social Affairs and Inclusion)

  • Luca Pennacchio

    (Parthenope University of Naples)

Abstract

This paper builds upon the knowledge-based view and organizational learning perspective. It develops and empirically tests a conceptual model to analyse the drivers and benefits of university–industry cooperation from the firm perspective. We used structural equation modeling to examine data collected from a sample of small and medium-sized Italian firms in the information and communication technology sector. We found that past collaborative experience increases the benefits drawn from university–industry cooperation. Both collaborative know-how and trust, however, play a significant mediating role on the relationship between collaborative experience and benefits. In particular, collaborative know-how is the main factor enhancing intangible benefits, such as knowledge transfer and learning, while trust is the main driver of tangible benefits, such as product and process innovations. Taken together, these findings suggest that firms should develop strategic competences to fully benefit from collaborations with universities because past collaborative experience alone is not sufficient. From the policy point of view, effort is needed to build channels and tools enhancing trust between industry and university, especially to support small firms.

Suggested Citation

  • Emilio Bellini & Giuseppe Piroli & Luca Pennacchio, 2019. "Collaborative know-how and trust in university–industry collaborations: empirical evidence from ICT firms," The Journal of Technology Transfer, Springer, vol. 44(6), pages 1939-1963, December.
  • Handle: RePEc:kap:jtecht:v:44:y:2019:i:6:d:10.1007_s10961-018-9655-7
    DOI: 10.1007/s10961-018-9655-7
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    4. Mingyu Tian & Yiwei Su & Zhong Yang, 2022. "University–industry collaboration and firm innovation: an empirical study of the biopharmaceutical industry," The Journal of Technology Transfer, Springer, vol. 47(5), pages 1488-1505, October.
    5. Kyung Yun Hwang & Eul Hyun Sung & Temitayo Shenkoya, 2022. "The Mediating and Combined Effects of Trust and Satisfaction in the Relationship between Collaboration and the Performance of Innovation in Industry—Public Research Institute Partnerships," Sustainability, MDPI, vol. 14(4), pages 1-18, February.
    6. Uwe Cantner & Martin Kalthaus & Indira Yarullina, 2022. "Outcomes of Science-Industry Collaboration: Factors and Interdependencies," Jena Economics Research Papers 2022-003, Friedrich-Schiller-University Jena.
    7. Yindan Ye & Thomas Crispeels, 2022. "The role of former collaborations in strengthening interorganizational links: evidence from the evolution of the Chinese innovation network," The Journal of Technology Transfer, Springer, vol. 47(5), pages 1343-1372, October.
    8. Rajalo, Sigrid & Vadi, Maaja, 2021. "Collaboration potential between low-capacity SMEs and academic researchers determined by symmetry of motivation," Technovation, Elsevier, vol. 107(C).
    9. Achim Walter & Nicole Coviello & Monika Sienknecht & Thomas Ritter, 2024. "Leveraging the Lab: How Pre-Founding R&D Collaboration Influences the Internationalization Timing of Academic Spin-Offs," Entrepreneurship Theory and Practice, , vol. 48(1), pages 71-103, January.
    10. Dhir, Amandeep & Khan, Sher Jahan & Islam, Nazrul & Ractham, Peter & Meenakshi, N., 2023. "Drivers of sustainable business model innovations. An upper echelon theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    11. A. Alexander & Dominique Philippe Martin & C. Manolchev & K. Miller, 2020. "University–industry collaboration: using meta-rules to overcome barriers to knowledge transfer," Post-Print halshs-01935697, HAL.
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    More about this item

    Keywords

    University–industry relationships; R&D cooperation; Information and communication technology; Small and medium-sized firms; Knowledge transfer; Structural equation modeling;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment

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