Download pdf
Research on the Optimization Path of Strategic Cost Management under the Background of the Digital Economy
- 1 Huazhong University of Science and Technology
* Author to whom correspondence should be addressed.
Abstract
Under the background of the digital economy, the research on the optimization path of strategic cost management for enterprises is particularly important. This paper discusses key paths such as data-driven cost management systems, intelligent cost control, and collaborative cost management, revealing the profound impact of the digital economy on corporate cost management and proposing a series of optimization strategies. The data-driven cost management system requires enterprises to establish comprehensive data collection and analysis mechanisms, using big data and advanced analytical tools to achieve real-time monitoring and dynamic analysis of costs. This not only improves the accuracy of cost management but also enhances the enterprise's ability to respond to market changes. Secondly, the implementation of intelligent cost control, through automated and predictive cost management, enables enterprises to more effectively control and predict cost changes, thereby improving the efficiency of resource allocation and the quality of cost management decisions. Furthermore, the development of collaborative cost management emphasizes the synergy between internal departments of enterprises and with external partners. By breaking down information silos and promoting resource sharing and business collaboration, enterprises can achieve cost optimization throughout the entire value chain.
Keywords
digital economy, corporate strategy, cost management
[1]. Sudiantini, D., Rizky, P. P., & Hazarika, A. (2023). Digital economy and financial inclusion in reviving the national economy: A management strategy. Revenue Journal: Management and Entrepreneurship, 1(1), 64-75.
[2]. Skare, M., de Obesso, M. D. L. M., & Ribeiro-Navarrete, S. (2023). Digital transformation and European small and medium enterprises (SMEs): A comparative study using digital economy and society index data. International Journal of Information Management, 68, 102594.
[3]. Jiang, H., & Murmann, J. P. (2022). The rise of China's digital economy: An overview. Management and Organization Review, 18(4), 790-802.
[4]. Purnomo, A., Susanti, T., Rosyidah, E., Firdausi, N., & Idhom, M. (2022). Digital economy research: Thirty-five years insights of retrospective review. Procedia Computer Science, 197, 68-75.
[5]. Oloyede, A. A., Faruk, N., Noma, N., et al. (2023). Measuring the impact of the digital economy in developing countries: A systematic review and meta-analysis. Heliyon, 9(7).
[6]. Rong, K. (2022). Research agenda for the digital economy. Journal of Digital Economy, 1(1), 20-31.
[7]. Abdulla, M. (2022). Improving cost management processes in construction logistics chains. Miasto Przyszłości, 28, 419-423.
[8]. Ren, S. (2022). Optimization of enterprise financial management and decision-making systems based on big data. Journal of Mathematics, 2022(1), 1708506.
[9]. Hu, J., & Li, X. (2022). Construction and optimization of green supply chain management mode of agricultural enterprises in the digital economy. International Journal of Information Systems and Supply Chain Management (IJISSCM), 15(2), 1-18.
Cite this article
Yang,F. (2024). Research on the Optimization Path of Strategic Cost Management under the Background of the Digital Economy. Journal of Applied Economics and Policy Studies,11,62-66.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
Disclaimer/Publisher's Note
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
About volume
Journal：Journal of Applied Economics and Policy Studies
© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license. Authors who
publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons
Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this
series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published
version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial
publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and
during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See
Open access policy for details).