Evaluating Baidu’s Big Data Strategy in the Context of Digital Transformation
DOI:
https://doi.org/10.71204/2nbnfp74Keywords:
Digital transformation, Strategic Management, Bigdata strategies, Digital management platformAbstract
This study examines Baidu’s corporate strategic management and digital transformation, with a particular emphasis on its application of big data and artificial intelligence (AI) technologies. Under new executive leadership, Baidu has undergone a structural reorganization and adopted a more globalized operational model, particularly in its core areas of search, AI, and data-driven services. While the company has demonstrated notable growth in Southeast Asian markets, it continues to face considerable challenges in Western regions due to cultural discrepancies and regulatory constraints. Moreover, Following his transition to the role of Global CEO, founder Robin Li has prioritized the development of Baidu’s international management capabilities and the expansion of its digital infrastructure. Currently, Baidu operates in over 30 countries and 180 cities, with an ambitious plan to grow its global workforce to 100,000 employees. Furthermore, this research adopts a mixed-methods approach, combining quantitative and qualitative analyses. It utilizes statistical tools such as STATA, SPSS, and Excel, alongside graphical modeling techniques, to assess Baidu’s transformation process. The findings indicate that Baidu’s global strategy increasingly centers on leveraging technology for social good, addressing long-term strategic challenges such as international corporate governance and corporate social responsibility. While the company’s digital transformation is progressing steadily, persistent challenges in Western markets underscore the need for more adaptive strategies. Baidu’s new mission emphasizes the creation of user-centered technologies aimed at delivering broad societal benefits.
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