• ISSN: 2301-3567 (Print), 2972-3981 (Online)
    • Abbreviated Title: J. Econ. Bus. Manag.
    • Frequency: Quarterly
    • DOI: 10.18178/JOEBM
    • Editor-in-Chief: Prof. Eunjin Hwang
    • Executive Editor: Ms. Fiona Chu
    • Abstracting/ Indexing:  CNKIGoogle ScholarCrossref
    • Article Processing Charge (APC): 500 USD
    • E-mail: joebm.editor@gmail.com
JOEBM 2025 Vol.13(3): 298-301
DOI: 10.18178/joebm.2025.13.3.882

Algorithm Infrastructure Empowers the Intelligent Development of Industries: Possibility and Feasibility

Zhang Tian Jiao
Economics and Business Economics, University of Amsterdam, Amsterdam, Netherlands
Email: evan0420@163.com (Z.T.J.)

Manuscript received November 5, 2024; accepted January 2, 2025; published August 6, 2025.

Abstract—This article primarily focuses on the empowerment of industrial intelligent development through algorithmic infrastructure: exploring its possibilities and feasibility. Initially, it provides an overview of algorithmic infrastructure, followed by a detailed analysis of its potential and feasibility. The discussion culminates in proposing several strategies, including the establishment of a robust algorithmic infrastructure system, the promotion of algorithmic applications within industries, and the creation of a conducive development environment. The aim is to furnish reference materials for related research.

Keywords—algorithmic infrastructure, industrial intelligence, possibility, feasibility, implementation pathways

Cite: Zhang Tian Jiao, "Algorithm Infrastructure Empowers the Intelligent Development of Industries: Possibility and Feasibility," Journal of Economics, Business and Management, vol. 13, no. 3, pp. 298-301, 2025.

Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

 

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