Charting the Innovation Landscape: A Scientometrics-Based Quantitative Analysis of Innovation Management Development in China

Abstract

This paper presents a comprehensive scientometrics-based quantitative research study aimed at mapping the innovation landscape in China and assessing the development of innovation management practices. Drawing upon a rich dataset of scientific publications, patents, and other relevant bibliometric indicators, the study employs advanced analytical tools to track the evolution of innovation activities, identify key trends, and assess the relative strengths and weaknesses of China's innovation ecosystem. The research focuses on analyzing patterns of collaboration, citation networks, technological domains, and institutional dynamics to provide insights into the drivers and barriers shaping innovation management in China. Furthermore, the study investigates the role of government policies, industry initiatives, and academic contributions in fostering innovation, and assesses the impact of these efforts on China's global competitiveness. By offering a systematic and data-driven assessment of innovation management development, this research contributes to a deeper understanding of China's innovation landscape and provides valuable implications for policymakers, industry leaders, and researchers seeking to enhance innovation capabilities and foster sustainable economic growth.