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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Pesqueira, A., Sousa, M. J. & Pereira, R. (2025). Individual dynamic capabilities and artificial intelligence in health operations: Exploration of innovation diffusion. Intelligence-Based Medicine. 11
Exportar Referência (IEEE) 
A. M. Pesqueira et al.,  "Individual dynamic capabilities and artificial intelligence in health operations: Exploration of innovation diffusion", in Intelligence-Based Medicine, vol. 11, 2025
Exportar BibTeX 
@article{pesqueira2025_1765913201602,
	author = "Pesqueira, A. and Sousa, M. J. and Pereira, R.",
	title = "Individual dynamic capabilities and artificial intelligence in health operations: Exploration of innovation diffusion",
	journal = "Intelligence-Based Medicine",
	year = "2025",
	volume = "11",
	number = "",
	doi = "10.1016/j.ibmed.2025.100239",
	url = "https://www.sciencedirect.com/journal/intelligence-based-medicine"
}
Exportar RIS 
TY  - JOUR
TI  - Individual dynamic capabilities and artificial intelligence in health operations: Exploration of innovation diffusion
T2  - Intelligence-Based Medicine
VL  - 11
AU  - Pesqueira, A.
AU  - Sousa, M. J.
AU  - Pereira, R.
PY  - 2025
SN  - 2666-5212
DO  - 10.1016/j.ibmed.2025.100239
UR  - https://www.sciencedirect.com/journal/intelligence-based-medicine
AB  - This research investigates the integration of individual dynamic capabilities (IDC), artificial intelligence (AI), and the Technology Acceptance Model (TAM) within health operations to evaluate their role in fostering innovation diffusion in healthcare. A convergent, multifaceted research approach encompassing quantitative and qualitative methodologies was employed, commencing with a systematic review of the extant literature. This was then complemented by the execution of focus group sessions involving 21 participants. The main objective of this sequential exploratory design was to synthesize existing research present an empirical validation of real-world case studies, and assess AI deployment challenges that influence operational efficiency and service quality in healthcare organizations. The findings underscore the importance of IDC in advancing healthcare practices by driving cross-functional adaptation, facilitating AI implementation, and ensuring smooth operational transformation in line with healthcare standards and best practices. The findings offer valuable insights for operational and executive-level decision-makers aiming to optimize health operations by integrating IDC and AI technologies, enhancing patient care, service quality, and innovative health solutions.
ER  -