Knowledge flows from science to AI technology: Identifying core and brokerage technological roles
Table 3
ZINB regression results for scientific citation intensity by technology category. This table presents the Zero-Inflated Negative Binomial (ZINB) regression results examining the relationship between four technology categories, defined by their core and brokerage characteristics, and the number of scientific publications cited at the patent level. The dependent variable is the number of scientific publications cited by each patent, while the independent variables are dummy indicators for the four technology categories. The control variables include CLAIMS, FAMILY, INVENTORS, APPLICANTS, and PAT AGE, all of which were log-transformed to adjust for skewness and scale differences. Period dummies are incorporated in Model 3. The results indicate that Category 2 patents exhibit the highest level of scientific citation, followed by Categories 1, 3, and 4.