Abstract
Purpose
Despite typically being regarded as “low tech”, the food manufacturing and technology sector is increasingly turning to open innovation practices involving collaboration with universities in order to innovate. Given the broad range of activities undertaken by this sector and the fact that it utilises analytical, synthetic and symbolic knowledge for innovation, it makes an interesting case study on the factors that influence the formation of university–industry (U–I) links. The paper aims to discuss this issue.
Design/methodology/approach
Using data from 249 collaborative projects that occurred between UK universities and food manufacturing and technology firms, the analysis utilises a logistic regression model based on a “synthetic counterfactual approach” to modelling the probability a collaborative link will be established with one university and not others.
Findings
The results suggest that organisational proximity, conceptualised through the presence of prior ties between actors, has the largest influence on the formation of U–I links. In addition, spatial and technological proximities between actors also have a positive influence on link formation. This result suggests that the specificity of knowledge of the food sector is important in the formation of these U–I links.
Research limitations/implications
The results suggest that the open innovation practices of food manufacturing and technology firms are like other sectors, even though their innovation practices are considered to be different. However, the limitations of the paper mean that these findings may be specific to firms in the food manufacturing and technology sector in the UK.
Originality/value
The food sector is under-represented in empirical studies on university collaboration; this paper addresses this and provides new insights into the formation of these links.
Despite typically being regarded as “low tech”, the food manufacturing and technology sector is increasingly turning to open innovation practices involving collaboration with universities in order to innovate. Given the broad range of activities undertaken by this sector and the fact that it utilises analytical, synthetic and symbolic knowledge for innovation, it makes an interesting case study on the factors that influence the formation of university–industry (U–I) links. The paper aims to discuss this issue.
Design/methodology/approach
Using data from 249 collaborative projects that occurred between UK universities and food manufacturing and technology firms, the analysis utilises a logistic regression model based on a “synthetic counterfactual approach” to modelling the probability a collaborative link will be established with one university and not others.
Findings
The results suggest that organisational proximity, conceptualised through the presence of prior ties between actors, has the largest influence on the formation of U–I links. In addition, spatial and technological proximities between actors also have a positive influence on link formation. This result suggests that the specificity of knowledge of the food sector is important in the formation of these U–I links.
Research limitations/implications
The results suggest that the open innovation practices of food manufacturing and technology firms are like other sectors, even though their innovation practices are considered to be different. However, the limitations of the paper mean that these findings may be specific to firms in the food manufacturing and technology sector in the UK.
Originality/value
The food sector is under-represented in empirical studies on university collaboration; this paper addresses this and provides new insights into the formation of these links.
| Original language | English |
|---|---|
| Pages (from-to) | 89-107 |
| Number of pages | 19 |
| Journal | European Journal of Innovation Management |
| Volume | 24 |
| Issue number | 1 |
| Early online date | 15 Jan 2020 |
| DOIs | |
| Publication status | Published - 5 Jan 2021 |
| Externally published | Yes |
Bibliographical note
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- University-industry linkages
- Open innovation
- Spatial proximity
- Prior ties
- Food sector