Volume 3,Issue 9
Discussion on Decision Optimization Strategies of Artificial Intelligence Empowering Enterprise Business Administration
With the acceleration of digital transformation, data in various industries has shown an explosive growth trend. Traditional enterprise management models can no longer adapt to changes in the complex market environment and supply chain challenges. How to leverage the advantages of artificial intelligence technology to promote the development of enterprise business administration towards human-machine collaboration and intelligent decision-making has become an important issue for business administrators to improve enterprise operational efficiency and competitiveness. This paper analyzes the problems of traditional business administration decisions, expounds the advantages of artificial intelligence empowering the transformation of enterprise business administration decisions from the perspectives of data insight, precise decision-making, and efficiency improvement; proposes optimization strategies for artificial intelligence empowering enterprise business administration decisions around four dimensions: data foundation, technology integration, process optimization, and talent adaptation, providing reference for enterprise managers to make scientific decisions and promoting the theory and commercial practice of artificial intelligence-driven management decisions.
[1] He T, 2023, A Brief Analysis of the Impact of Artificial Intelligence on Enterprise Managers’ Decision-making Processes and Response Strategies. Enterprise Reform and Management, (20): 89–91.
[2] Zhong WG, Jia N, Liang YT, et al., 2024, Research Status and Future of Business Administration in the Age of Artificial Intelligence. China Science Fund, 38(05): 794–805.
[3] Jiang S, 2024, Empowering the High-quality Development of Management Science with Artificial Intelligence Technology. China Science Fund, 38(05): 732.
[4] Lu FM, 2024, Research on the Application of Big Data and Artificial Intelligence Technology in Enterprise Management Decision-making. China Venture Capital, (20): 32–34.
[5] Shao G, 2024, Path Selection of Artificial Intelligence Empowering Chinese Enterprise Management. Industrial Innovation Research, (23): 146–148.
[6] Ma YM, 2023, Exploration and Application Research of Artificial Intelligence in Enterprise Management Decision-making. Liaoning Economy, (10): 64–70.
[7] Jing ZH, 2022, Logic and Framework Analysis of Enterprise Management Reform in the Age of Artificial Intelligence. China Market, (15): 118–120.
[8] Lin XL, 2021, Construction of Business Administration Analysis Framework for Enterprises in the Development of Artificial Intelligence. China Storage & Transport, (05): 208–209.
[9] Dong S, Fan CJ, Qu CX, et al., 2021, Several Thoughts on the Application of Artificial Intelligence in Management Decision-making. Enterprise Reform and Management, (08): 5–7.
[10] Xu P, Xu XY, 2020, Logic and Analysis Framework of Enterprise Management Reform in the Age of Artificial Intelligence. Management World, 36(01): 122–129 + 238.
[11] Zhang YL, Li LL, Ding ZB, 2024, Artificial Intelligence Decision-making in Organizational Management: A Review and Prospect. Foreign Economics & Management, 46(10): 18–38.
[12] Wang YD, 2024, The Impact of Artificial Intelligence on Enterprise Managers’ Decision-making Processes and Response Ideas. Business News, (15): 171–174.
[13] Hu DX, 2024, Practice of Improving Enterprise Decision-making Efficiency with Big Data and Artificial Intelligence. Zhangjiang Science Review, (07): 159–161.
[14] Sun YW, Xiao XL, Shi AJ, 2024, Research on the Application and Development of Artificial Intelligence Technology in Enterprise Management Decision-making. Business Exhibition Economy, (24): 149–152.
[15] Zhang GS, Yang CD, 2020, The Impact, Challenges and Prospect of Artificial Intelligence on Organizational Decision-making. Shandong Social Sciences, (09): 100–105 + 113.