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Impelling research productivity and impact through collaboration: a scientometric case study of knowledge management
(Palgrave Macmillan, 2017-07-11) Ceballos, Hector G.; Fangmeyer Jr, James Andrew; Galeano Sánchez, Nathalíe M.; Juarez, Erika; Cantú Ortíz, Francisco J.; Tecnologico de Monterrey
A case study for impelling university research productivity and impact through collaboration is presented. Scientometric results support the hypothesis that a knowledge management model increased research collaboration and thereby boosted a university’s number of publications and citations. Results come from fifteen years of data at a Mexican university with 2400 researchers who produced 24,000 works in fifteen research disciplines. These data are treated with social network visualizations and algorithms to identify patterns of collaboration and clustering, as well as with normalizations to make disciplines comparable and to verify increasing citation impact. The knowledge management model implemented in the study may be a costeffective way for universities to intensify collaboration and improve research performance.
Spreading academic entrepreneurship: Made in Mexico
(Kelley School of Business, Indiana University, 2017-07) Cantú Ortíz, Francisco J.; Galeano Sánchez, Nathalíe M.; Mora Castro, Silvia P.; Fangmeyer Jr, James Andrew; Tecnologico de Monterrey
This work presents REPITA (Research-Ecosystem-People-Intellectual Property-Transfer-Alignment), a prescriptive and repeatable model for successful technology-based academic entrepreneurship, synthesized from research of academic entrepreneurship in developing economy conditions. In this work, we identify three deficiencies in Mexico’s entrepreneurship ecosystem: research skills, high technology, and technology transfer. We then present a solution that has been recognized by the Organization for Economic Co-operation and Development (OECD) for fueling high-tech university spin-offs with science and technology doctoral research. Lessons from 48 spin-off projects are synthesized in the newly proposed REPITA model, which prescribes connecting a basic research platform to applications, catalyzing the entrepreneurship ecosystem with resources and incentives, combining highly specialized people in entrepreneurial teams, setting generous and flexible intellectual property policies for the knowledge economy, transferring technology per entry and exit strategies, and aligning technology and business incubation. Finally, we propose a tool that presents academic entrepreneurship theories in an actionable format for university administrators and entrepreneurs. These results are not a theoretical framework on their own, but rather a real-world organizational model based on theory for impelling technology-based, academic spin-offs with economic impact. Taken together, this contribution may be useful to practitioners and provocative for researchers.

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