Creating Knowledge-Based Value for Data Security in Enterprises

Abstract

The objective of this study is to analyze and understand how knowledge-based value creation can enhance data security in enterprises. In today’s rapidly evolving technological landscape, data has become a critical strategic asset. In this context, knowledge management and its application to strengthen information security processes are essential priorities for organizations. The study identifies factors influencing the effectiveness of knowledge management in data security, such as organizational culture, innovative technologies, and employee engagement. It integrates theoretical frameworks from knowledge management, including Nonaka and Takeuchi’s SECI model, with practical approaches to information security, such as the ISO 27001 standard. The findings suggest that organizations effectively combining knowledge management processes with cybersecurity initiatives achieve greater resilience against threats and enhanced incident response capabilities. Special attention is given to the role of tacit knowledge and its transfer in employee education and awareness programs. The study concludes with recommendations for implementing knowledge management practices to improve data security. These include fostering continuous employee skill development, leveraging technologies such as artificial intelligence and blockchain, and creating systems to support knowledge sharing within organizations. The proposed model serves as a tool to help enterprises build sustainable knowledge-based value, enhancing not only data security but also their overall competitiveness in the market.