Disruption and Reconstruction: A Data-Driven Marketing Paradigm Shift in China's B2B Management Training Industry

Authors

  • Qin Liang Shanghai Qian Enterprise Management Consulting Co., Ltd., Shanghai, 200000, China Author

DOI:

https://doi.org/10.71222/1b04pz60

Keywords:

data-driven marketing, B2B management training, digital transformation, paradigm shift, China

Abstract

The rapid evolution of digital technologies and the increasing complexity of business ecosystems have reshaped the landscape of China's B2B management training industry. Traditional marketing models that relied on personal networks, offline promotion, and word-of-mouth have gradually lost their dominance, while data-driven approaches have emerged as a transformative force. This paper aims to explore how disruptive changes in data utilization, digital platforms, and algorithmic insights are reconstructing the paradigm of marketing in the management training sector. Drawing on policy analysis, industry observation, and theoretical frameworks of digital transformation, the study identifies the structural challenges, strategic adaptations, and performance outcomes associated with the integration of data-driven practices. The findings suggest that data analytics not only enhances customer acquisition and segmentation but also enables continuous optimization of content, channels, and pricing strategies. Furthermore, the shift to data-centric models improves organizational agility, customer engagement, and market competitiveness. The study concludes that the disruption is not merely technological but also organizational, requiring firms to reconstruct their marketing philosophy and operational logic. Practical recommendations are provided to guide training institutions in achieving sustainable growth, while implications for future research highlight the intersection of digital marketing, organizational learning, and industry regulation.

References

1. X. Zheng, "" Platform of Platform" business model for corporate training in China (Doctoral dissertation, Massachusetts In-stitute of Technology)," 2017.

2. T. Z. Mitoshi, and J. Ziobrowska-Sztuczka, "Data-Driven Marketing: A Catalyst for Sustainable Business Development in Corporations".

3. A. Mitra, A. Seetharaman, and K. Maddulety, "Adoption of Artificial Intelligence Enabling Value Creation in Business," In 2024 4th International Conference on Robotics, Automation and Artificial Intelligence (RAAI), December, 2024, pp. 213-220, doi: 10.1109/raai64504.2024.10949520.

4. A. Q. Ahmad, "Navigating the Digital Transformation in Higher Education: Opportunities, Challenges, and Strategic Path-ways," Exploring the transformative impact of AI across industries and its role in shaping global advancements, vol. 26, 2024.

5. J. Yang, C. Liu, M. Teng, J. Chen, and H. Xiong, "A unified view of social and temporal modeling for B2B marketing campaign recommendation," IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 5, pp. 810-823, 2017, doi: 10.1109/tkde.2017.2783926.

Downloads

Published

24 September 2025

Issue

Section

Article

How to Cite

Liang, Q. (2025). Disruption and Reconstruction: A Data-Driven Marketing Paradigm Shift in China’s B2B Management Training Industry. Economics and Management Innovation, 2(5), 40-46. https://doi.org/10.71222/1b04pz60