首页|Study Data from Chongqing University Update Knowledge of Machine Learning (Drivi ng forces of digital transformation in chinese enterprises based on machine lear ning)
Study Data from Chongqing University Update Knowledge of Machine Learning (Drivi ng forces of digital transformation in chinese enterprises based on machine lear ning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news reporting out of Chongqing University by NewsRx editors, research stated, "With advanced science and digital technolog y, digital transformation has become an important way to promote the sustainable development of enterprises." Funders for this research include National Social Science Fund of China; Fundame ntal Research Funds For The Central Universities; Foundation of Liaoning Provinc e Education Administration. Our news reporters obtained a quote from the research from Chongqing University: "However, the existing research only focuses on the linear relationship between a single characteristic and digital transformation. In this study, we select th e data of Chinese A-share listed companies from 2010 to 2020, innovatively use t he machine learning method and explore the differences in the predictive effects of multi-dimensional features on the digital transformation of enterprises base d on the Technology-Organization-Environment (TOE) theory, thus identifying the main drivers affecting digital transformation and the fitting models with strong er predictive effect. The study found that: first, by comparing machine learning and traditional linear regression models, it is found that the prediction abili ty of ensemble earning method is generally higher than that of tradition measure ment method. For the sample data selected in this research, XGBoost and LightGBM have strong explanatory ability and high prediction accuracy. Second, compared with the technical driving force and environmental driving force, the organizati onal driving force has a greater impact. Third, among these characteristics, equ ity concentration and executives' knowledge level in organizational dimension ha ve the greatest impact on digital transformation."
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