Technology transfer: A Comparison Between Web of Science Core Collection and Scopus

This study analyzes the scientic literature on technology transfer by comparing the studies on this topic indexed in Web of Science Core Collection (WoS CC) database and Scopus (SC) database using bibliometric techniques. The technology transfer process plays an essential role within an interactive and open approach of the innovation process. Public Research Organizations receive major public investment for research and development (R&D) and the eectiveness of technology transfer into new or better products or processes is strongly related to the contribution of those public investments to economic development. As a consequence, countries and regions economies become more innovative, which allows them to increase productivity and competitiveness, boost growth and create jobs, improve healthcare, transport, digital services and countless new products and services, develop a more social and sustainable economic model, and address current social challenges such as climate change and food security. For this reason, Public Administrations are actively searching for new ways to improve the technology transfer processes. On the other hand, the academic literature is increasingly focusing on technology transfer in order to provide scientic data for the public policies design and for the evaluation of these policies’ results. The main objective of this study is to provide a general and comprehensive overview of the main dierences between the WoS CC and Scopus databases on technology transfer research, and to identify recurrent trends in both databases. The bibliometric study analyzes the publication year structure and the distribution of documents pe research area, as well as the most cited articles, the most productive and inuential authors, institutions, countries and journals, and the most common author keywords; also, bibliometric mappings of bibliographic coupling of countries, co-citation of journals, and co-occurrence of author keywords will be implemented in order to present a graphical visualization of these variables