(DATASET) INNOVATION CAPABILITY DETERMINANTS: LITERATURE REVIEW BASE
Description
This dataset presents the results of a systematic literature review of the determinants related to innovation capability. Three main mechanisms evaluate this capacity: (1) Global Innovation Index published by the World Intellectual Property Organization; (2) Global Competitiveness Index 4.0; and (3) Furman et al., 2002. From previous work, 14 variables were identified as associated with these three mechanics used to assess the innovation capacity of a nation. These variables are (1) Openness to international trade and investment; (2) the percentage of R&D funded by private industry; (3) full-time R&D personnel; (4) strength of protection for Intelectual Property; (5) the percentage of R&D performed by universities; (6) utility models by origin; (7) gross expenditure on R&D, % GDP; (8) university-industry R&D collaboration; (9) expenditure on education, % GDP; 10) QS university ranking, top 3; (11) state of cluster development and depth; (12) co-inventions (co-creations); (13) scientific and technical articles (citations of patents in collaboration between university and industry); and (14) trademarks applications. This literature review comprises part of previous work published on “(DATASET) INNOVATION CAPABILITY: DETERMINANTS RELATIONSHIPS”, Mendeley Data, V2, doi: 10.17632/dj4xnpgsnm.2.
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Search equations used for this study included keywords related to each of the 14 innovation determinants aforementioned. The study conducted an online search on several repositories of scientific publications such as Scopus, Web of Science, Google Scholar, EBSCO, ProQuest, and Taylor & Francis The criteria to include a publication comprise (1) published between 2015 and 2021; (2) relationship or references of publication's title, keywords, and abstract with the related variable (3) methodology, (4) reference or relation to National Innovation Capacity, (5) refers to developing economies and/or developed economies (comparison with the previous ones (6) Analysis of design and impact on public policies; (7) indexed Scopus; Web of Science or a doctoral dissertation or book; and (8) language of articles or books: English. All the accepted publications under the previous criteria were discussed among all the contributors to validate the arguments for relating them to the variables under study.