This article shows the levels of technostress in primary and secondary education teachers in Chile, in the context of educational telework that Chile has adopted in connection with the health crisis by COVID-19. The information has been collected with the use of the RED-TIC scale, previously used in this country, whose validity and reliability of the instrument has been treated, for this case, with confirmatory factorial analysis (CFA) with a national coverage sample of 3006 teachers. The results show that 11% of teachers reveal techno anxiety and 7.2%, techno fatigue. Combining both manifestations, we find that 6.8% of teachers are techno stressed. Finally, fatigue and anxiety factors are higher for female teachers.

Higher education institutions (HEIs) have been facing a digital transformation in online learning as a result of the restrictions generated by COVID-19. Therefore, identifying which are the elements that influence student satisfaction will allow HEIs to establish strategies to ensure the quality of the digital transformation. This study proposes a model that measures student satisfaction considering three dimensions: teacher quality, technical service quality and service quality. Then, the impact of each dimension on student satisfaction is estimated using a Partial Least Squares Structural Equation Model (PLS-SEM), and finally an Importance-Performance Map Analysis (IPMA) was performed to identify the improvements that should be made to increase student satisfaction. When analyzing the responses of 1430 students at the School of Medicine, it was found that the quality of technical service should be improved, specifically training, and encouraging teachers to use strategies that allow student participation.

The purpose of this article is to analyze resilient female leadership as a sustainable promoter of business excellence in small and medium-sized Wayuu handicraft marketing enterprises. The present study uses a quantitative methodology with a non-experimental cross-sectional field design, with an analysis and interpretation of the data provided by the surveyed subjects. A 33-item questionnaire with multiple response options is applied. The population consists of 110.012 eradicated women. A probabilistic sampling technique is applied with a margin of error of 5% and a confidence level of 95%, for a total of 383 Wayuu women entrepreneurs in the Department of La Guajira, Colombia. Our findings explain that female leadership transcends the boundaries of business management, being present in both small and medium enterprises (SMEs). This study confirms the positive relationship between sustainability and resilience in the Wayuu handicrafts market, being women who turn their actions into success factors by working with women who show technical, conceptual, and human skills.

The research objective was to predict the impact of techno-creators and techno-inhibitors on the different manifestations of technostress in kindergarten directors in the context of the COVID-19 pandemic and telework. The participants were INTEGRA Foundation kindergarten directors, from a sample of 567 kindergartens in Chile. To measure the technostress manifestations, the RED-TIC questionnaire was used as an instrument, and concerning techno-creators and techno-inhibitors, those established in previous research were considered. The partial least squares structural equation modeling (PLS-SEM) methodology was used, and the model estimation was performed using SmartPLS version 3.0 software. It was obtained that techno-creators correlate positively and significantly with the technostress manifestations. A negative correlation was found between techno-inhibitors and technostress manifestations and techno-creators, but not significant for skepticism and inefficacy manifestations. Therefore, it is concluded that techno-creators lead to technostress manifestations, however, techno-inhibitors did not show a significant effect in reducing these manifestations in the sample studied.

The present research aims to determine which factors of the theory of planned behavior most influence the intention to watch Mexican movies, and, at the same time, to measure the impact of eWOM and the level of audience involvement in the intention. For this purpose, an online questionnaire was applied through social networks, obtaining a sample of 334 Mexican people over 18 years old. The data were analyzed using a partial least squares structural equation model (PLS-SEM). The results confirmed that the variables that explained the intention to watch Mexican movies were attitude, perceived purchase control, and involvement, with the latter being the attitude variable the one that contributed the most to intention. The present research contributes to the literature on movie consumption in Mexico with an empirical perspective from the marketing field.