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University scientists’ multiple goals achievement: Social capital and its impact on research performance and research commercialization

This study conceptualizes a quadrant model characterizing four profiles by contrasting university scientists’ multiple goals: research performance and commercialization. Since literature shows that these goals are conflicting but not mutually exclusive, social capital theory is drawn to test the influence of scientists’ bonding, bridging, and linking social capital on their profile affiliation. Survey data from 1057 German scientists is utilized to estimate a multinomial logistic regression model relating scientists’ profiles to the different forms of social capital. The results show that only 4.16% of the scientists achieve above-average research performance and also commercialize their research results, whereby all three forms of their social capital positively impact the achievement of these goals. Furthermore, bonding social capital positively relates to scientists with above-average research performance but no commercialized research results. Bridging social capital facilitates scientists to commercialize results, albeit with below-average research performance. In addition, an inverted U-shaped relationship between scientists’ bonding social capital and their research performance is identified, suggesting that an excess of this form of social capital may impede scientists’ ability to achieve multiple goals. The results are discussed and policy recommendations are derived.

Sponsor
Gefördert im Rahmen des Projekts DEAL
Citation
In: Technovation Volume 135 / Issue July (2024-07-01) , S. ; eissn:1879-2383
Collections
@article{doi:10.17170/kobra-2024080910654,
  author    ={Huegel, Matthias},
  title    ={University scientists’ multiple goals achievement: Social capital and its impact on research performance and research commercialization},
  keywords ={300 and 330 and Soziales Kapital and Kommerzialisierung and Organisationale Ambidextrie and Forschungsleistung and Universität and Regressionsmodell},
  copyright  ={http://creativecommons.org/licenses/by/4.0/},
  language ={en},
  journal  ={Technovation},
  year   ={2024-07-01}
}