F
Francisco J. Sáez-Martínez
Researcher at University of Castilla–La Mancha
Publications - 45
Citations - 1505
Francisco J. Sáez-Martínez is an academic researcher from University of Castilla–La Mancha. The author has contributed to research in topics: Eco-innovation & Sustainability. The author has an hindex of 18, co-authored 41 publications receiving 1034 citations.
Papers
More filters
Journal ArticleDOI
Eco-innovation: insights from a literature review
TL;DR: In this article, a review of the existing body of literature on eco-innovations, and identifying the most relevant publications in the field and the topics of interest is presented.
Journal ArticleDOI
Gender diversity within R&D teams: its impact on radicalness of innovation
TL;DR: In this paper, the authors study how gender diversity within R&D teams, among other factors, impacts innovation, drawing on data from an innovation survey in Spain, and find that gender diversity is positively related to radical innovation.
Journal ArticleDOI
Drivers of sustainable cleaner production and sustainable energy options
TL;DR: In this article, the authors present a selection of papers that show leading examples of the application of sustainable management, green production, and renewable energy, and highlight the importance of multidisciplinary approaches that integrate social and technological perspectives to solve current sustainability problems.
Journal ArticleDOI
Firm technological trajectory as a driver of eco-innovation in young small and medium-sized enterprises
TL;DR: In this article, the authors investigated the relationship between technological trajectory and current research and development strategy of small and medium-sized enterprises (SMEs) and found that firms that search for opportunities and have a continuous collaboration with market players are more prone to develop eco-innovations.
Journal ArticleDOI
Knowledge acquisition's mediation of social capital‐firm innovation
TL;DR: The mediating role of knowledge acquisition between social capital and innovation for firms located in science and technology parks (STPs) and partial least squares offers the primary statistic technique for assessing survey data collected from 214 Spanish tenants.