THE ECONOMIC VALUE OF SOFTWARE SUPPORTING ENTREPRENEURIAL STRUCTURES

Abstract

This article provides a comprehensive analysis of the economic efficiency of using software solutions to support business processes in small and medium-sized enterprises (SMEs), with a particular focus on the logistics and transportation sectors. It explores the implementation of various technologies, such as Enterprise Resource Planning (ERP) systems, Customer Relationship Management (CRM) systems, and project and financial management software. These technologies play a crucial role in optimizing operational processes, increasing labor productivity, reducing costs, and enhancing interdepartmental communication. The research highlights the importance of business process automation in improving managerial decision-making, fostering better coordination, and streamlining workflows. It also examines the impact of these systems on the long-term competitiveness and growth of enterprises, particularly in the face of digital transformation. The study delves into the advantages and challenges of implementing these systems in SMEs, focusing on the key benefits, such as process optimization, data accuracy, and resource management, as well as potential obstacles like high initial investment costs, system integration complexities, and user adoption issues. Furthermore, the article analyzes the role of digital technologies, including the Internet of Things (IoT), data analytics, and blockchain, in enhancing the effectiveness of ERP and CRM systems. It explores how these technologies can contribute to greater transparency, real-time data exchange, and improved decision-making, ultimately fostering innovation and sustainability within the logistics industry. The study also emphasizes the importance of aligning software implementation with the unique needs of each business and the broader market trends, particularly as companies face increasing pressure to remain competitive in an ever-changing global economy. The article also reflects on the future development of business software solutions, discussing potential advancements and emerging challenges, such as the integration of AI and machine learning for predictive analytics and process automation.