Exploring the Digital Leverage: How Big Data Technologies Computationally Drive Firm Performance Progress

Abstract

In the era of rapid technological advancement, advancements in computer hardware, such as high-performance processors and vast storage capabilities, have laid the foundation for handling complex data analytics tasks. Concurrently, breakthroughs in software algorithms and machine learning models have revolutionized the way businesses process and interpret data. These computer technologies, particularly big data analytics, have emerged as transformative forces reshaping business landscapes. They enable firms to process vast amounts of data, uncover actionable insights, and optimize decision-making processes. Methodologically, this study employs Python for keyword frequency statistics to quantify the presence and impact of big data technologies within firm-related data sources. By analyzing the frequency of relevant keywords, we gain a nuanced understanding of the extent to which big data technologies are integrated and utilized by firms. Furthermore, multiple regression analysis is utilized to conduct a mechanism analysis, exploring the relationships between big data technologies, firm performance, and other influencing factors. Our findings reveal that big data technologies significantly drive firm performance development by enhancing operational efficiency, enabling data-driven decision-making, and fostering innovation. Notably, a reduced supply chain concentration acts as a mediator, amplifying the positive impact of big data technologies on firm performance. Additionally, top management team rejuvenation positively moderates the effects of big data technologies on firm performance. This suggests that as firms leverage big data technologies, they are able to streamline their supply chains, leading to improved performance outcomes. Additionally, the age of the top management team moderates this relationship, with younger teams being more receptive and effective in leveraging big data technologies to drive performance.