Artificial intelligence in human resource management
Abstract
This study examines the adoption of Artificial Intelligence (AI) in human capital management within biotechnology and IT companies in Havana. Grounded in a positivist paradigm and a quantitative approach, a non-experimental cross-sectional design was applied to a sample of 150 managers and specialists. A questionnaire based on Davis’s (1989) Technology Acceptance Model (TAM) was utilized, adapted with transparency and equity dimensions. The results, processed using IBM SPSS v.32, reveal a very strong positive correlation between perceived transparency and AI acceptance (r = 0.852; p < 0.001). An "Equity Paradox" was identified, where high technical efficiency does not guarantee the perception of organizational justice (SD = 1.12). The study concludes that algorithmic transparency is the critical predictor for successful digital transformation within the Cuban economic model, suggesting a transition toward Explainable AI (XAI) models.
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