TY - JOUR
T1 - Impact of ICT on human talent management in public universities in Ica-Peru
AU - Caballero, Enrique Mendoza
AU - Mustto, Victor Oscar Moyano
AU - Cruces, Hector William Carlos
AU - Guerra, Belinda Marleni Navarro
N1 - Publisher Copyright:
© 2026 by the authors; licensee Growing Science, Canada.
PY - 2026
Y1 - 2026
N2 - The main objective of this research was to determine the impact of Information and Communication Technologies (ICTs) on human talent management within a public university in Ica, Peru. Using a quantitative, basic, and correlational-causal approach, a sample of 474 participants, comprised of administrative and teaching staff, was analyzed. The participants were characterized by a professional profile with high academic qualifications and intermediate work experience. Data collection was carried out through a survey based on the Technology Acceptance and Use (UTAUT) model, and the information was processed using partial least squares structural equation modeling (PLS-SEM). The results of the structural model confirmed that all the hypotheses were significant with a p-value of 0.000, highlighting that Expectations of Effort (β = 0.635) and Enabling Conditions (β = 0.632) were the most influential predictors of the dependent variable. The model achieved a coefficient of determination R² of 0.325, explaining 32.5% of the variability in human talent management. In conclusion, the modernization of talent management in the public university environment depends critically on reducing the technical complexity perceived by the user and strengthening the institutional technological infrastructure, factors that are more important than social influence or net performance expectations.
AB - The main objective of this research was to determine the impact of Information and Communication Technologies (ICTs) on human talent management within a public university in Ica, Peru. Using a quantitative, basic, and correlational-causal approach, a sample of 474 participants, comprised of administrative and teaching staff, was analyzed. The participants were characterized by a professional profile with high academic qualifications and intermediate work experience. Data collection was carried out through a survey based on the Technology Acceptance and Use (UTAUT) model, and the information was processed using partial least squares structural equation modeling (PLS-SEM). The results of the structural model confirmed that all the hypotheses were significant with a p-value of 0.000, highlighting that Expectations of Effort (β = 0.635) and Enabling Conditions (β = 0.632) were the most influential predictors of the dependent variable. The model achieved a coefficient of determination R² of 0.325, explaining 32.5% of the variability in human talent management. In conclusion, the modernization of talent management in the public university environment depends critically on reducing the technical complexity perceived by the user and strengthening the institutional technological infrastructure, factors that are more important than social influence or net performance expectations.
KW - Human talent management
KW - ICTs
KW - Public university
KW - UTAUT model
UR - https://www.scopus.com/pages/publications/105045198095
U2 - 10.5267/j.ijdns.2026.3.013
DO - 10.5267/j.ijdns.2026.3.013
M3 - Artículo
AN - SCOPUS:105045198095
SN - 2561-8148
VL - 10
SP - 1317
EP - 1326
JO - International Journal of Data and Network Science
JF - International Journal of Data and Network Science
IS - 3
ER -