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Research On The Operating Efficiency And Influencing Factors Of China's Listed Artificial Intelligence Enterprises

Posted on:2021-04-20Degree:MasterType:Thesis
Country:ChinaCandidate:M L QiFull Text:PDF
GTID:2370330602465390Subject:Business Administration
Abstract/Summary:PDF Full Text Request
The revolutionary technology of artificial intelligence is changing the face of the economy and society,and it is also reshaping the competitive landscape of enterprises and countries.Therefore,the development of artificial intelligence enterprises directly affects China's economic status and strength.Although the number of artificial intelligence enterprises in China has ranked second in the world,how to develop in terms of quality is the key to economic development.The most fundamental problem is to improve operational efficiency,study the operational efficiency of artificial intelligence enterprises in China and its influencing factors.It is particularly important to further promote the optimization and reform of the artificial intelligence industry and improve the competitiveness of China's artificial intelligence field.Based on the DEA-Tobit two-step analysis method and the DEA-Malmquist index method,this paper studies and analyzes the operational efficiency and influencing factors of artificial intelligence listed companies from both theoretical and empirical aspects.First,it elaborated the related theory and connotation of efficiency,and combed the literature of artificial intelligence efficiency and its influencing factors.The article next selects 50 listed artificial intelligence companies as the research object,uses the DEA-BCC method to measure the operating efficiency of the sample artificial intelligence listed companies from2012 to 2018,and from the perspective of static efficiency analysis,dynamic efficiency analysis and classification comparison analysis Analyze and review the operating efficiency of artificial intelligence listed companies.On the basis of the obtained static efficiencyanalysis value,use the Tobit regression model to test the impact of various factors on the operating efficiency of artificial intelligence listed companies.Finally,based on the research results,the full text is summarized and summarized,and from the aspects of improving the pure technical efficiency of artificial intelligence enterprises,rationally allocating resources investment,and reducing the asset-liability ratio,it proposes to improve the operating efficiency and achieve high-quality development of listed artificial intelligence companies Practical opinions and suggestions.
Keywords/Search Tags:artificial intelligence enterprise, business efficiency, DEA method, influencing factors
PDF Full Text Request
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