The Construction Path of Financial Shared Service Centers in the Digital Transformation of Manufacturing Industry ——A Case Study of Changhong Group

Authors

  • Yanqian You

DOI:

https://doi.org/10.61173/rzs19r33

Keywords:

Digital Transformation in the Manufacturing Industry, Financial Shared Service Centres (FSSCs), Business Process Reengineering (BPR), Data Value Chain

Abstract

Against the backdrop of global digital transformation in manufacturing, enterprises face challenges such as inefficient financial processes and a disconnect between business and finance functions.To explore pathways for establishing Financial Shared Service Centres (FSSCs) adapted to digital transformation, this paper adopts Changhong Group as a case study and develops an analytical framework grounded in Business Process Reengineering theory and Data Value Chain theory. The findings indicate that Changhong’s FSSC evolved through three stages—standardisation, centralisation, and intelligentisation—culminating in an integrated framework of Process Reengineering—Technology Empowerment—Organisational Synergy.This case underscores the pivotal role of data governance and the cultivation of multiskilled talent in driving the value transformation of FSSCs. This research not only provides a practical paradigm for manufacturing enterprises establishing FSSCs, but also enriches theoretical applications within the industry, providing valuable reference for enterprises advancing their financial digital transformation.

References

[1] Bergeron, B. Financial Shared Services: Theory and Practice in the Digital Era. Journal of Management Accounting Research, 2020, 32(2): 45-68.

[2] Porter, M. E., & Heppelmann, J. E. How smart, connected products are transforming competition. Harvard Business Review, 2020, 98(1): 64-88.

[3] Vial, G. Understanding digital transformation: A review and a research agenda. Journal of Strategic Information Systems, 2021, 30(1): 101632.

[4] Quinn, J. B. Strategic outsourcing: Leveraging knowledge capabilities. Sloan Management Review, 2019, 40(4): 9-21.

[5] Hammer, M. Reengineering work: Don’t automate, obliterate. Harvard Business Review, 1990, 68(4): 104-112.

[6] Loshin, D. Data Governance and the Data Value Chain: A Framework for Enterprise Success. Journal of Data and Information Quality, 2017, 9(3): 1-22.

[7] Davenport, T. H., & Miller, S. J. Working knowledge: How organizations manage what they know. California Management Review, 2020, 63(2): 10-34.

[8] Appelbaum, D., Kogan, A., & Vasarhelyi, M. A. Big data in accounting: An overview. Journal of Information Systems, 2019, 33(3): 1-19.

[9] Demirkan, H., & Delen, D. Leveraging digital transformation: A framework for business process innovation. Business Process Management Journal, 2021, 27(4): 1123-1144.

[10] Ghosh, S., & Wu, F. Digital transformation in manufacturing: A review of theoretical and empirical studies. International Journal of Production Economics, 2022, 245: 108456.

[11] Kim, J., & Lee, S. The impact of financial shared services on firm performance: Evidence from manufacturing firms. Journal of Corporate Finance, 2020, 63: 101689.

[12] Li, Y., & Wang, H. Data-driven decision making in financial shared services: A case study of Chinese manufacturing firms. Journal of Business Research, 2021, 130: 567-576 .

[13] Marr, B. Big Data, Data Science, and AI: The Ultimate Guide for Business Leaders. Long Range Planning, 2020, 53(4): 101795.

[14] Sharma, R., & Nicolau, R. Digital transformation and organizational agility: A systematic review and research agenda. International Journal of Information Management, 2021, 57: 102345.

[15] Zhang, L., & Liu, X. Talent development for digital finance: Skills and competencies in financial shared services. Human Resource Development International, 2022, 25(3): 245-263.

Downloads

Published

2025-12-19