What question did this study set out to answer?

The research focuses on addressing the challenges of integrating AI with Management Information Systems in business settings.

March 15, 2026Open Access

From Framework to Implementation: Practical Paths and In-depth Breakthroughs in the Integration of AI and MIS for Business Administration

LYLiu Yifan

Key Points

The research focuses on addressing the challenges of integrating AI with Management Information Systems in business settings.
Reviewed existing theoretical frameworks on AI and MIS integration.
Identified implementation dilemmas through case studies in various enterprises.
Proposed tailored solutions based on enterprise scale and industry characteristics.
Identified key issues such as data privacy and algorithmic bias that need addressing.
Proposed specific implementation paths tailored to different business sizes and sectors.
Provided guiding principles for enterprises to enhance technological adoption in their operations.

Abstract

Based on the theoretical framework of "AI Technology - MIS Support - Business Administration Optimization" established in previous studies, this paper explores the practical implementation dilemmas in the integration of Artificial Intelligence (AI) and Management Information Systems (MIS) within enterprises. It proposes differentiated implementation paths matching enterprise scales and industry characteristics, and designs customized solutions for core issues including data privacy, algorithmic bias, and the technology-business disconnect, drawing on specific enterprise cases. This research aims to narrow the gap between theoretical research and practical application, and provide guiding principles for enterprises to realize technological empowerment in their transformation processes.

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