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.
Caballero et al. (Thu,) studied this question.