Knowledge Management in Organizations Using Emerging Technologies

Abstract

Emerging technologies are tools that allow companies to create, manipulate and manage consistent data over time, the study was based on the general objective: to analyze how knowledge management is developed in organizations that use emerging technologies; the analysis presents three key aspects: acquisition, generation and transfer of knowledge, as well as the emerging technologies that are being implemented in these organizations. The study was of quantitative approach, documentary analysis, developed from the systematic analysis of eight scientific articles coded for a better interpretation of the data. The study finds that internal sources for knowledge acquisition include artificial intelligence (AI), big data analysis and collaborative work, while external sources include technologies such as blockchain and the Internet of Things (IoT). In terms of knowledge generation, organizations employ big data and digital technologies that foster a favorable environment for innovation. Knowledge transfer is facilitated by emerging technologies, which promote effective communication and collaboration between teams. The most commonly used technologies are AI, big data analytics, blockchain, robotic process automation (RPA), augmented reality, 3D printing, chatbots and online platforms. Implementing these technologies not only improves efficiency and communication, but also presents challenges, such as cultural resistance and digital competence, that organizations must address to maximize their potential. Keywords. Acquisition, Generation, Transfer, Knowledge Management and Emerging Technologies.