Mexican College Teacher’s Job Satisfaction During the Covid-19 Pandemic Represented Through a Technostress Matrix

  • Eduardo Portas Ruiz
  • Luis Felipe Ramírez Alvarado
Keywords: Digital survey, technostress, quantitative analysis


The Covid-19 pandemic that swept through higher education institutions between 2020-2021 forced a number of different changes in Mexican university teachers. A digital survey with an ad hoc technostress scale was responded by 176 Mexican higher education teachers to measure their perceived technostress levels. The quantitative results were then used to create a simple classification matrix were the teachers were categorically divided in four different groups so as to identify which group was the most and least technostressed as well as most and least satisfied with their jobs.

Normal Paper (no special issue)