GarcÃa-Vidal, G.;                     Sánchez-RodrÃguez, A.;                     Guzmán-Vilar, L.;                     Pérez-Campdesuñer, R.;                     MartÃnez-Vivar, R.    
        Entropy-Based Assessment of AI Adoption Patterns in Micro and Small Enterprises: Insights into Strategic Decision-Making and Ecosystem Development in Emerging Economies. Information 2025, 16, 770.
    https://doi.org/10.3390/info16090770
    AMA Style
    
                                GarcÃa-Vidal G,                                 Sánchez-RodrÃguez A,                                 Guzmán-Vilar L,                                 Pérez-Campdesuñer R,                                 MartÃnez-Vivar R.        
                Entropy-Based Assessment of AI Adoption Patterns in Micro and Small Enterprises: Insights into Strategic Decision-Making and Ecosystem Development in Emerging Economies. Information. 2025; 16(9):770.
        https://doi.org/10.3390/info16090770
    
    Chicago/Turabian Style
    
                                GarcÃa-Vidal, Gelmar,                                 Alexander Sánchez-RodrÃguez,                                 Laritza Guzmán-Vilar,                                 Reyner Pérez-Campdesuñer,                                 and Rodobaldo MartÃnez-Vivar.        
                2025. "Entropy-Based Assessment of AI Adoption Patterns in Micro and Small Enterprises: Insights into Strategic Decision-Making and Ecosystem Development in Emerging Economies" Information 16, no. 9: 770.
        https://doi.org/10.3390/info16090770
    
    APA Style
    
                                GarcÃa-Vidal, G.,                                 Sánchez-RodrÃguez, A.,                                 Guzmán-Vilar, L.,                                 Pérez-Campdesuñer, R.,                                 & MartÃnez-Vivar, R.        
        
        (2025). Entropy-Based Assessment of AI Adoption Patterns in Micro and Small Enterprises: Insights into Strategic Decision-Making and Ecosystem Development in Emerging Economies. Information, 16(9), 770.
        https://doi.org/10.3390/info16090770