THE IMPACT OF TECHNOLOGIES SUCH AS BLOCKCHAIN AND MACHINE LEARNING ON ADDED ECONOMIC VALUE: A Comparative Study in Industrial and Service Sectors

• DOI: https://doi.org/10.22533/at.ed.51572926170414

• Palavras-chave: blockchain; machine learning; added value; technologies.

• Keywords: blockchain; machine learning; added value; technologies.

• Abstract:

  The advance of digitalization has driven the adoption of technologies such as blockchain and  machine learning, which are transforming business operations by promoting greater efficiency and competitiveness. Blockchain is recognized for providing security and transparency in transactions, while machine learning automates processes and improves forecasting. This study  examines how the integration of these technologies can increase aggregate economic value in  industrial and service sectors, comparing their effects across different economic contexts. The  research employs a qualitative approach based on a literature review, focusing on academic sources  published over the past ten years. Thematic analysis allowed for the identification of patterns, benefits, and challenges in the adoption of these technologies, exploring both their contributions and the difficulties faced by companies. The results highlighted that the combination of  blockchain and machine learning improves security, transparency, and operational efficiency, serving as an important strategy to promote innovation and corporate sustainability. However, reliance on existing studies and the diversity of regional contexts limited the generalizability of the findings. Thus, this study suggests conducting complementary empirical research to deepen the understanding of practical applications and explore new ways to maximize the positive impacts of these technologies across different economic sectors.