Rodríguez Rojas, Yuber LilianaLuque Clavijo, Ana MaríaCastro Rojas, Martha Lucía2020-12-102020-12-102019Revista Lasallista de Investigación–Vol. 16 No 2–20191794-4449http://hdl.handle.net/10567/2806The availability of large volumes of data has made the decision making process, both for academics and businesses, a complex issue, so it is necessary to simplify these procedures in order to decide effectively. Objective: This article presents the results of a study that sought to identify the methodologies used to define or strengthen research lines in academic or business groups. Materials and methods: A systematic exploratory review in Scopus, Ebsco, Science Direct and Scielo retrieved 146 items, of which 35 were incorporated into the analysis. Results: Three different trends were found: 1) the quantitative approach shows methodologies related to the use of bibliometrics, scientometrics and text mining, 2) the qualitative approach identified documentary, knowledge or perceptions analyses regarding the management of innovation and development, seen from academia and from the real sector, and 3) the mixed approach identified profile studies of human capital, Hilbert formal system for classical propositional logic, qualitative-sociological simulation, intermediate review (metric and peers), interviews and surveys to businesses and Delphi technique. Conclusion: The findings show that the use of quantitative, qualitative or mixed approaches is relevant according to the area of interest of the center or research group; in addition, for developed countries this issue is apparently overcome, given that no recent evidence about academic production was found, whilst for developing countries, there is current interest, in particular that which is related to aspects of investment and its returnesAcceso abiertoCorporación Universitaria LasallistaInnovaciones tecnológicasPolítica industrialinfo:eu-repo/semantics/openAcces