The purpose of this paper is to determine the effects of knowledge spillovers on innovation and collaboration among firms located in science and technology parks (STPs). To do so, whether knowledge spillovers imply a greater degree of innovation in its various forms – product, process, organisational and commercial – and greater inter‐organisational collaboration on research and development (R&D) is analysed. Explicitly, this article examines these effects by identifying and distinguishing between firms located on and off STPs. This paper adopts a quantitative approach. After reviewing the literature, the study tests the hypotheses empirically using a sample of 784 firms, and performing several logistic binomial regressions to analyse the impact of each type of knowledge spillover on each type of innovation and on the likelihood of firms establishing inter‐organisational collaborative R&D agreements. The results show that knowledge spillovers have a positive impact on firm propensity to innovate and on the probability of firms engaging in inter‐organisational R&D collaboration. Furthermore, firm location within an STP is found to influence the intensity of the effect of spillovers on innovation and on R&D cooperation. Thus, the magnitude of the effects of spillovers differs according to the type of the spillover. Given the special features of spillovers and the scarce evidence available analysing the relationship between spillovers, innovation and cooperation and the location on STPs, this work contributes significant empirical evidence to the existing literature.

Entrepreneurship and open data are key elements in the sustainable development field, improving economic, social, and environmental dimensions. However, entrepreneurship and open data are barely studied together in the literature from a theoretical perspective. Therefore, this study identifies the main themes in the previous studies and proposes a conceptual model for analyzing entrepreneurship through open data. For this purpose, a descriptive analysis and a co-word analysis were performed. Results show that the subject is multidisciplinary, and the main theme of study is how different agents reuse information released by public administrations to generate new entrepreneurial initiatives, especially novel business models associated with new mobile applications. Open data sources, innovation, and business models are studied as critical factors for analyzing entrepreneurship through open data. Likewise, a conceptual model is presented and emerging themes for future research are proposed. Among them, the importance of encouraging collaboration between different agents in the open data ecosystem for service development and improvement is emphasized. Our study identifies an emerging theme that is still in an early phase: The study of sustainable entrepreneurship through open data as a value creation initiative to address global sustainable development.