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| Big Data, Artificial Intelligence and Manufacturers' Competitive Path |
| HE Daan |
| School of Economics, Zhejiang Gongshang University |
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Abstract The analysis and research of mainstream economics on the path of market competition mainly focus on price determination, output determination, scale economies, industrial organization, etc., but pay inadequate attention to the changes in market competition paths caused by technological progress. In fact, the basis of the changes in the market competition path is technological progress, yet economists prefer to treat technological factors as exogenous variables when analyzing market competition paths.The current development of big data and artificial intelligence can be described as an unprecedented technological revolution, which has a wide and profound impact on human economic activities. These effects are mainly manifested in: how big data and its application affect the investment and management of manufacturers, in what ways the integration of big data and artificial intelligence methods such as machine learning will change the competitive path of manufacturers, how manufacturers can improve data intelligence and achieve network collaboration, and under what conditions industry monopolies will occur. The basic viewpoint of analysis in this article is that the change of the manufacturers' competitive path is a phenomenon that runs through the integration process of big data, the Internet and artificial intelligence. This phenomenon corresponds to the different levels of new technology progress and application. The microeconomic analysis needs to take new technology factors as endogenous variables, by analyzing the correlation between big data, machine learning and manufacturers' competitive paths, in order to reveal the mechanism of changes in manufacturers' competitive paths and the industrial organization issues caused by them.
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Received: 10 May 2020
Published: 13 August 2020
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Corresponding Authors:
HE Daan
E-mail: hzw310025@aliyun.com
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2020, Vol. 40 
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