TY - GEN
T1 - Influential factors in knowledge management in the acceptance of M-learning in university students
AU - Chicana-Huanca, Sandra
AU - Gutierrez-Aguilar, Olger
AU - Ticona-Apaza, Fiorela
AU - Calliñaupa-Quispe, Giuliana
AU - Chicana-Huanca, Bertha
N1 - Publisher Copyright:
© 2022 IEEE Computer Society. All rights reserved.
PY - 2022
Y1 - 2022
N2 - The purpose of the research was to establish the influence of the factors in knowledge management in the acceptance of M-learning in university students in times of covid-19. The study consisted of two stages; the first was an exploratory factor analysis, which allowed the instrument to be validated and homologated. The second stage consisted of carrying out a confirmatory analysis by validating a structural model based on variances called modelling of structural equations of partial minimum squares PLS-SEM, whose results determined that the most influential factors in the application of knowledge are perceived ease of use, knowledge sharing, and perceived utility of the model (TAM); not like this, the intention of behavioural use, that does not influence the application of knowledge. This hypothesis would not be tested regarding the level of influence that the application of knowledge would have on the actual use of the system. The research was carried out with 150 students from a private university in Peru.
AB - The purpose of the research was to establish the influence of the factors in knowledge management in the acceptance of M-learning in university students in times of covid-19. The study consisted of two stages; the first was an exploratory factor analysis, which allowed the instrument to be validated and homologated. The second stage consisted of carrying out a confirmatory analysis by validating a structural model based on variances called modelling of structural equations of partial minimum squares PLS-SEM, whose results determined that the most influential factors in the application of knowledge are perceived ease of use, knowledge sharing, and perceived utility of the model (TAM); not like this, the intention of behavioural use, that does not influence the application of knowledge. This hypothesis would not be tested regarding the level of influence that the application of knowledge would have on the actual use of the system. The research was carried out with 150 students from a private university in Peru.
KW - Behavioral use intention
KW - Knowledge application
KW - Knowledge exchange
KW - Knowledge management
KW - M-learning
KW - Perceived utility
UR - http://www.scopus.com/inward/record.url?scp=85134842261&partnerID=8YFLogxK
U2 - 10.23919/CISTI54924.2022.9820224
DO - 10.23919/CISTI54924.2022.9820224
M3 - Conference contribution
AN - SCOPUS:85134842261
T3 - Iberian Conference on Information Systems and Technologies, CISTI
BT - Proceedings of 2022 17th Iberian Conference on Information Systems and Technologies, CISTI 2022
A2 - Rocha, Alvaro
A2 - Bordel, Borja
A2 - Penalvo, Francisco Garcia
A2 - Goncalves, Ramiro
PB - IEEE Computer Society
T2 - 17th Iberian Conference on Information Systems and Technologies, CISTI 2022
Y2 - 22 June 2022 through 25 June 2022
ER -