Many changes have come over the business with the onset of globalization and the digitization of the economy, including the last two years. In addition, relevant changes have been caused by the COVID-19 pandemic, demonstrating the relevance of innovation management (IM) within organizations as a process to face these new realities. This article aims to present the main contributions on innovation management in small- and medium-sized enterprises (IM in SMEs). To determine the state-of-the-art innovation techniques, the study systematically reviews articles related to this subject using a bibliometric study approach between 1985 and 2019 using the Web of Science (WoS) database. The study analyzes and presents the most cited articles, the main authors, institutions, countries, and the most productive journals. Additionally, VOSviewer was used to provide a more in-depth analysis of the data obtained from the search. Among the main results, it is clear that the most productive universities and the most influential and productive authors are in the United States, leaving a relevant possibility of taking this analysis to different countries, mainly developing countries, to adjust adequate innovation processes according to the specific realities of each country.

Human capital management is a strategic element for companies in a globalized world. Therefore, they must use strategies and methods to recruit and select personnel assertively to focus their training, strengthening, and business growth efforts. Personnel selection can be seen as a decision problem and can be addressed in a multi-criteria decision-making context. This work aims to present the selection process of a barista in a Mexican coffee shop. The baristas could be the face of the company to customers, and they could significantly impact their overall experience. The personnel selection process included eleven candidates and three criteria. This process was performed using the ELECTRE-III to model the preferences of a decision-maker and RP2-NSGA-II+H, a multi-objective evolutionary algorithm that exploits fuzzy outranking relations to derive multi-criteria rankings. The ordering obtained with the algorithm did not have any inconsistency concerning the integral preference model, and it allowed for the selection of a candidate to occupy the barista position. The results show the relevance of combining preference modeling with multi-criteria analysis methods for decision-making and artificial intelligence techniques.

El presente estudio analiza la percepción docente sobre el diseño instruccional y la implementación de entornos virtuales en el modelo FLEX de la Universidad Autónoma de Occidente (UAdeO), desde un enfoque cognitivamente informado. Se empleó un diseño cuantitativo, no experimental, transversal y descriptivo–correlacional con una muestra de 33 docentes diseñadores de cursos virtuales, quienes respondieron un cuestionario de 15 ítems agrupados en tres dimensiones: capacitación y competencias, proceso de diseño instruccional y satisfacción y resultados. Para fortalecer el análisis, se generaron 300 casos simulados mediante cópulas gaussianas, manteniendo la estructura de dependencia entre variables. La fiabilidad del instrumento fue alta (α = 0.8927). Los resultados mostraron promedios superiores a nueve y homogéneos en las tres dimensiones, sin diferencias significativas entre ellas, lo que refleja percepciones consistentes del proceso formativo. Además, 31 docentes participaron en un estudio antes–después para evaluar cambios en autoeficacia, observándose un incremento significativo tras la capacitación (t = 7.83; p < 0.001), confirmado mediante la prueba t de Student y la prueba de Wilcoxon. En conjunto, los hallazgos evidencian que la formación fortaleció la autoeficacia docente y promovió una percepción positiva de la calidad del diseño instruccional en el modelo FLEX.

Investigating the antecedents and determinants of entrepreneurial intention is key to understanding the beginning of the entrepreneurial process. There is scarce literature on academic entrepreneurship that identifies the characteristics of an individual in an academic context with the intention of starting a spin-off company. This study explores the association of gender, age, research certification and knowledge area to Academic Entrepreneurial Intention. To this end, data was obtained from the participation of 172 academics at a Mexican university. Through logistic regression, it was possible to find a significant association between age, research certification and certain knowledge areas to academic entrepreneurial intention. This represents a first approximation to identifying the key factors that affect the academic entrepreneurship process, focused particularly on entrepreneurial intention. JEL Codes: L26, M13 Received: 06/03/2024. Accepted: 03/06/2024. Published: 20/06/2024.