Abstract

Science-Industry interaction accelerates scientific advancement by providing researchers with access to practical challenges, resources and applied perspectives. At the same time, industry benefits from cutting-edge academic knowledge that supports technical innovation. Because of these mutual advantages, such interactions have received increasing attention from researchers in recent years. The overarching goal of this thesis is to identify the factors that significantly influence this interaction. To measure the extent of science-industry interaction, this study relies on two methods: co-authorship between academic and industrial scientists and author-inventors. We analyze how several behavioral and structural factors-including group size, repeated collaboration, industrial participants, dual-status scientists and network characteristics such as betweenness, degree, and average coauthor cohesion influence the research performance of academic scientists in terms of productivity and citation impact. This analysis is based on publication data from Scopus and patent from Lens and employs a Poisson regression model to analyze publication counts and an Ordinary Least Square (OLS) regression model to examine average citation impact.
Despite several methodological limitations—such as challenges in author name disambiguation, the use of cross-sectional data, and the focus on a specific disciplinary domain—this study offers important empirical insights into how collaboration strategies and network structures shape both the productivity and impact of scientific research. The results show that brokerage positions in collaboration networks, measured by betweenness centrality, positively affect scientific productivity, although the relationship follows an inverted-U pattern, suggesting diminishing benefits beyond a certain level. Similarly, degree centrality positively influences citation impact but also exhibits a nonlinear pattern. The findings further highlight the importance of industry engagement: a higher percentage of industry collaborators is associated with increased publication output, while the presence of industry collaboration is linked to higher citation impact. In addition, author–inventor status shows a positive relationship with both productivity and citation outcomes, indicating the benefits of combining scientific and technological activities. Importantly, the results reveal a significant interaction between industry collaboration and collaboration networks, suggesting that the citation benefits of industry engagement become stronger for researchers with broader collaboration networks. Overall, the findings demonstrate that the interaction between academic collaboration structures and industry engagement plays a crucial role in shaping scientific performance.