Artificial intelligence opportunities and challenges for enterprise management: a review and research hotspot

Qun Liu; Fucheng Liang

doi:10.1117/12.2659278

23 November 2022 Artificial intelligence opportunities and challenges for enterprise management: a review and research hotspot

Qun Liu, Fucheng Liang

Author Affiliations +

Proceedings Volume 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022); 124542T (2022) https://doi.org/10.1117/12.2659278
Event: International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 2022, Hohhot, China

Abstract

Artificial intelligence(AI) is being integrated into enterprises’ strategy for improving management performance, while many managers do not know the focus of AI research, nor do they know what specific aspects AI is applicable to and the possible impact. The main purpose of this research is to analyze the change that brought by technologies based on AI on enterprise, to determine the compound effect on enterprise management reform. This paper proposes a framework for fully understanding the opportunities and challenges on enterprise management reform brought by AI to help companies break down their prejudices about AI. Through bibliometrics method and literature review, we find that AI applications can promote the beneficial changes of the three relationships in enterprise management, including the relationship between enterprises and customers, superiors and subordinates, as well as the relationship between traditional production factors and data factors. Meanwhile, enterprises may face difficulties in security and privacy, law and ethics, and culture and talent. All in all, enterprise management will embrace the opportunities of innovation in theory and practice in the era of AI if we can effectively prevent or deal with the possible problems.

Citation Download Citation

Qun Liu and Fucheng Liang "Artificial intelligence opportunities and challenges for enterprise management: a review and research hotspot", Proc. SPIE 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 124542T (23 November 2022); https://doi.org/10.1117/12.2659278

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available