Mindfulness and dispositional optimism, using factor analysis, inferential statistics and information technologies

Abstract

The research analyzes the relationship between psychosocial risks and dispositional optimism in workers of a call center in Lima. The chi-square results indicated that a high workload and low remuneration negatively affect optimism, while positive social interaction and good organizational management improve it. The exploratory factor analysis (KMO 0.805) allowed the survey items to be reduced based on the strongest items, to improve decision making to improve optimism. The Mindfulness technique was applied, showing that more sessions increase optimism, with a positive correlation and predictive regression. Sentiment analysis was used with the Python language, applied to qualitative questions, identifying the causes that influence optimism, integrating all the information into a business intelligence platform which favors decision making.