A virtuous circle? The effects of university-industry relationships in a region with low absorptive capacity

This article examines the effects of university-industry relationships (UIRs) in a Spanish region - Valencian Community - with low absorptive capacity. The analysis considers two effects of UIRs, one on business innovation and the other on the scientific production of academic researchers. The results reveal that UIRs have no significant effects on either firms' technological innovation or academic scientific production. Therefore, these results suggest that, in territories with low absorptive capacity, UIRs, mainly R&D-based, do not produce the effects found in other contexts, which requires some rethinking about these types of territories. © 2020 The Author(s)

New tools for measuring global academic performance

The study is on performance measurement in academia. It aims at developing and validating the measurement scale for the performance of higher institutions. The items were developed based on the extant literature. Data were collected via an online survey in which a questionnaire link was sent to 269 vice chancellors/presidents of the sampled universities. A total of 133 responses were retrieved at the end of the data collection period. This study used proportionate random sampling for sample selection. The goodness of measures was checked via field experts, academicians, and data analysis with SPSS. Overall, the alpha coefficient was .974. The outcome of exploratory factor analysis (EFA) exposed all factors loaded more than 0.50. The results revealed that the instrument was reliable and valid. Hence, the instrument developed was suitable to be used in examining the performance of higher institutions

Organizational factors influencing scholarly performance: A multivariate study of biomedical research groups

Bibliometric studies often measure and compare scholarly performance, but they rarely investigate why universities, departments, and research groups do have different performance. In this paper we try to explain differences in scholarly performance of research groups in terms of organizational variables. In order to do this, we extensively review the relevant literature, and develop a model using two theoretical approaches. A multivariate analysis shows which of the independent variables do play a role in the various scholarly performance dimensions. The study shows what organizational strategies may help in optimizing performance in various dimensions. Implications are discussed