An Empirical Study on Impact of Management Capabilities for the Multinational Company's Sustainable Competitive Advantage

被引:2
作者
Zong, Ke [1 ]
Wang, Zheng [2 ]
机构
[1] Taishan Univ, Tai An, Shandong, Peoples R China
[2] Xuzhou Univ Technol, Xuzhou, Jiangsu, Peoples R China
关键词
Deep Neural Network; LSTM Model; Stock Price; Sustainable Competitiveness; ARTIFICIAL NEURAL-NETWORK; INFORMATION-TECHNOLOGY; PERFORMANCE EVIDENCE; PRODUCT INNOVATION; FIRM PERFORMANCE; CLASSIFICATION; SYSTEMS;
D O I
10.4018/JOEUC.300763
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Based on the deep learning (DL) theory, the study takes the multinational corporation Technology Company A as the research target and explores the impact of information technology (IT) management capabilities on the sustainable competitive advantage of the company. Firstly, the proposed method summarizes the connotation and characteristics of IT management capabilities and analyzes the nature and functions of enterprise IT management capabilities. Secondly, the study expounds three different theories of sustainable competition theory. Then, it briefly elaborated the principles of artificial neural network (ANN) algorithms and the classification and definition of DL algorithms. Finally, long short-term memory (LSTM) is selected as the training algorithm of the model. The stock price trend of Technology Company A is used as the basis for judging competitiveness, and the influence of IT management ability on the company's sustainable competitiveness is quantitatively analyzed.
引用
收藏
页数:23
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