Citas bibligráficas
Piña, A., (2023). Marca académica personal, predictor de gestión de la identidad digital en docentes de la UNSM, 2021 [Universidad Nacional de San Martín. Fondo Editorial]. http://hdl.handle.net/11458/4806
Piña, A., Marca académica personal, predictor de gestión de la identidad digital en docentes de la UNSM, 2021 []. PE: Universidad Nacional de San Martín. Fondo Editorial; 2023. http://hdl.handle.net/11458/4806
@misc{renati/1057179,
title = "Marca académica personal, predictor de gestión de la identidad digital en docentes de la UNSM, 2021",
author = "Piña Marin, Alpino",
publisher = "Universidad Nacional de San Martín. Fondo Editorial",
year = "2023"
}
The objective of this research was to design a mathematical model for the prediction of digital identity management, according to the personal academic brand of the professors of the National University of San Martín. The research was basic, with a non-experimental level and descriptive correlational cross-sectional design. The sample consisted of 180 professors and the technique applied was the survey. It was found that, in personal academic branding among professors is high with 57.2%, followed by medium level with 32.2% and finally, low level with 10.6%; digital identity management among professors is high with 60%, followed by medium level with 31.1% and low level with 8.9%; In order to justify the quantitative methodology, the statistical foundations of a non-linear regression were developed, to which the logarithmic regression belongs, since they can be for both normal and non-normal populations. It was concluded that the non-linear logarithmic regression model expressed y = –24.731 + 13.201ln(x) and that the x value should not be negative, which has a coefficient of determination R2=0.9565, therefore, the model employed is highly reliable for future predictions. Furthermore, a highly significant p-value < 0.01 indicates that changes in the predictor, personal academic branding are associated with changes in the digital identity management response.
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