Building Sustainable Development through Technology Transfer Offices: An Approach Based on Levels of Maturity

Abstract

This study focuses on how technology transfer offices' (TTO) maturity level influences sustainable development in developing countries. A method for defining the maturity level of technology transfer offices was developed based on criteria, dimensions and variables from a comprehensive literature review. Technology transfer specialists were responsible for attaching weight to elements using the multicriteria method, fuzzy simple additive weighting. Results provided an important overview of 105 Brazilian TTOs, their maturity level and the impact on sustainable development.

Technology Policy and Sustainable Development in Nigeria

“…The evolution of technology in Nigeria has elements of history and natural endowment, culture and national discipline. It also has factors of environment and collective national aspiration, elements of knowledge and resourcefulness, and factors of politics and ideology (Soares, Kovaleski, Gaia & Chiroli, 2020).…”

Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

“…A summary of the reviewed papers related to SDG 9 issues [79][80][81][82][83][84][85][86][87][88][89][90][91][92][93] is presented in Table 8. In most articles concerning SDG 9, MCDM approaches were applied to evaluate the industry's sustainability performance in national contexts to overcome barriers to achieve this SDG [80,81,84,85,87,89].…”

“…Their evaluation showed that the proposed mixed strategy portfolio for green aviation fleet management could be determined using limited resources. Some authors concentrated their efforts on selecting or ranking strategies to make the infrastructure sector more sustainable [81,87,[89][90][91][92][93][94].…”

“…Aligned with the MCDM taxonomy chosen for this review, eight studies employed compromise methods, namely VIKOR, CODAS, TOPSIS, BWM, and SAW studies [82,84,85,[87][88][89]92,93]. Two utility-based methods were applied in seven studies, as follows: AHP [79,84,89,90], and ANP [81,82,91].…”

“…Thus, 18 scenarios were built and ranked as alternatives, based on relevant data from the literature and taking into account the principles of prevention, planning, and design. Finally, it is important to mention that six studies [84,[88][89][90]92,93] combined fuzzy logic with MCDM methods, and one [88] used artificial intelligence (i.e., GRA) to select and rank the best sustainable reverse logistics recovery options, focusing on the case of China Pakistan Economic Corridor (CPEC).…”