Big Data Strategies for Mitigating International Investment Risks in Chinese Biotechnology Enterprises

Jizhi Chen
College of Economics and Management,ShanDong JiaoTong University,Jinan,China,250357
Fengbo Lai
College of Economics and Management,ShanDong JiaoTong University,Jinan, 250357, China

DOI:https://doi.org/10.5912/jcb1138

Abstract:

This article examines the development and application of a big data-driven early warning system to assess and mitigate international investment risks for Chinese biotechnology enterprises. The study focuses on understanding how various factors such as investment size, dynamic market environments, and specific resource and characteristics inherent to China's unique market condition impact the risk profile of these international ventures. Utilizing a comprehensive dataset, this research deploys advanced analytic techniques including regression analysis, ANOVA, and descriptive statistics to parse out critical insights that can inform better risk management strategies. Over 200 stakeholders in the biotechnology sector participated, providing a robust basis for our models. The results underscore the significant role of integrated quality management and safety practices in reducing risk, especially as Chinese biotech firms seek international growth and compliance with global standards like ISO-9000 and HACCP. The findings also suggest that proactive government support through incentives such as low-interest loans and tax breaks, alongside a structured approach to quality control such as the 5S concept, are crucial in bolstering international competitiveness. The paper concludes with actionable recommendations for biotechnology companies aiming to expand globally, highlighting the importance of leveraging big data to enhance decision-making processes and strategic planning.