Artificial Intelligence and Innovation Management: A Research Review
TL;DR
This paper reviews existing research in the field of AI and innovation management, examining relevant studies from three perspectives: the transformation of innovation management models driven by AI, the reform of organizational structures driven by AI, and the ethical challenges posed by AI applications in innovation management.
Abstract
In the era of digitalization, informatization, and intelligent transformation, artificial intelligence (AI) technology is developing rapidly, exerting a profound impact on various fields of the social economy. As a key factor for enterprises and organizations to maintain competitiveness in a competitive environment, the importance of innovation management has been increasingly emphasized. As the core driving force behind the new round of scientific and technological revolution and industrial transformation, AI not only improves production efficiency and optimizes resource allocation but also creates new industrial forms and business models, injecting new momentum into economic development. This paper reviews existing research in the field of AI and innovation management, examining relevant studies from three perspectives: the transformation of innovation management models driven by AI, the reform of organizational structures driven by AI, and the ethical challenges posed by AI applications in innovation management.