Multidimensional Perspectives and Pathways of AI-Empowered Modern Management Research

Jing Ning; Jun Tan

doi:10.63944/4mj.JFEMR

Multidimensional Perspectives and Pathways of AI-Empowered Modern Management Research

Jing Ning (Author)

Faculty of Finance and Economics, Guangxi Science& Technology Normal University, Liu Zhou, China

Jun Tan (Primary Contact)

Faculty of Finance and Economics, Guangxi Science& Technology Normal University, Liu Zhou, China

DOI:https://doi.org/10.63944/4mj.JFEMR

Keywords:

Al, management research, algorithmic governance, human-machine collaboration, knowledge networks

Supporting Agencies:

This article represents the key achievement of the 2025 Guangxi Higher Education Undergraduate Teaching Reform Project "Research on the Characteristic Iterative Practice of 'Four-Chain Integration' in AI Modeling and Decision-Making for Economics and Management Courses in Guangxi Universities under New Quality Productivity" (Project No.: 2025JGB455).

Published

15-09-2025

Abstract: Artificial intelligence (AI) technology is profoundly reshaping the global management ecosystem, transforming its role from a tool for efficiency to a structural force driving organizational change. This study, grounded in the context of China's modernization, systematically explores the multidimensional applications of AI technology in management research and the challenges it faces. The study finds core challenges in the current management field, including a crisis of adaptability between the industrial-era paradigm and the intelligent ecosystem, the dissipation of governance effectiveness caused by algorithmic black boxes, and cognitive barriers to human-machine collaboration. These issues stem from the conflict between mechanistic cognition and complex systems, the imbalance between instrumental and value rationality, and the paradigmatic differences between biological and machine intelligence. To address these challenges, the study proposes three solutions: building an AI-enabled distributed dynamic knowledge network, establishing a hierarchical and transparent governance system, and developing cognitive coupling interfaces. This research not only provides new perspectives for innovation in management theory but also offers practical paths for AI management practice in the Chinese context.

Author Biography

Jing Ning, Faculty of Finance and Economics, Guangxi Science& Technology Normal University, Liu Zhou, China
Faculty of Finance and Economics, Guangxi Science& Technology NormalUniversity, LiuZhou, China

Faculty ofManagement Science, Dhonburi Rajabhat University, Bangkok.Thailand

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Multidimensional Perspectives and Pathways of AI-Empowered Modern Management Research

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