Predicting Future Technology Development Paths for Multi-Locational Firms in China: A Collaborative Filtering Approach and Case Study
- Zhang, Yiou
- Advisor(s): Handcock, Mark
Abstract
In the dynamic landscape of global business, the strategic decisions of multi-locational firms play a critical role in shaping their future trajectories. This thesis investigates the intricate relationship between technological innovation and the strategic decisions of multi-locational firms within the context of China, utilizing patent data as a primary source of analysis.The study begins by examining the patent data of multi-locational firms to uncover potential trajectories of technological development. Employing a recommender system analysis, the research aims to reveal underlying patterns and trends guiding the future technological classes that multi-locational firms are likely to pursue within the ever-evolving Chinese market. Furthermore, the thesis delves into a comprehensive case study, exploring the strategic imperatives and decision-making processes involved in the pursuit of technological innovation by multi-locational firms. Drawing insights from the analysis of patent data, the case study provides valuable insights into the strategies employed by these firms to navigate the complexities of the Chinese innovation landscape and position themselves for future success. Through this comprehensive investigation, the research seeks to offer actionable insights and strategic guidance for multi-locational firms striving to optimize their technological innovation efforts within the dynamic context of China’s innovation environment. By integrating rigorous data analysis with real-world case study findings, this thesis aims to contribute to the understanding of the strategic decisions driving technological innovation in multi-locational firms.