Tag: technology

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Blockchain Adoption Factors: New Research Insights

A recent study conducted by researchers from Portuguese institutions examines blockchain adoption among small and medium-sized organizations (SMEs), with a focus on Trust and Security. The research, titled Blockchain Adoption Factors, explores the key drivers and challenges of implementing blockchain technology, which has the potential to impact various sectors, including finance and healthcare.

The research, led by Carlos Bernardino, Francisco Cesário, Carlos J. Costa, Manuela Aparicio, and João Tiago Aparicio, investigates the factors that influence blockchain adoption, focusing on Trust and Security as essential moderators in the decision-making process of SMEs. The study used a questionnaire distributed to employees from various industries, and analyzed the results through Structural Equation Modeling (SEM-PLS).

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The Democratization of Artificial Intelligence: Theoretical Framework

The democratization of artificial intelligence (AI) involves extending access to AI technologies beyond specialized technical experts to a broader spectrum of users and organizations. This paper provides an overview of AI’s historical context and evolution, emphasizing the concept of AI democratization.

Current trends shaping AI democratization are analyzed, highlighting key challenges and opportunities. The roles of pivotal stakeholders, including technology firms, educational entities, and governmental bodies, are examined in facilitating widespread AI adoption. A comprehensive framework elucidates the components, drivers, challenges, and strategies crucial to AI democratization. This framework is subsequently applied in the context of scenario analyses, offering insights into potential outcomes and implications. The paper concludes with recommendations for future research directions and strategic actions to foster responsible and inclusive AI development globally.

Costa, C. J., Aparicio, M., Aparicio, S., & Aparicio, J. T. (2024). The Democratization of Artificial Intelligence: Theoretical Framework. Applied Sciences, 14(18), 8236. https://doi.org/10.3390/app14188236