Research Article
Research on the Influence Path of Organizational Resilience on Innovation Performance of Start-up Enterprises Based on Machine Learning Algorithm
@INPROCEEDINGS{10.4108/eai.9-12-2022.2327655, author={Ling Peng}, title={Research on the Influence Path of Organizational Resilience on Innovation Performance of Start-up Enterprises Based on Machine Learning Algorithm}, proceedings={Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China}, publisher={EAI}, proceedings_a={MSIEID}, year={2023}, month={3}, keywords={organizational resilience innovation performance start-up enterprises bayesion network machine learning algorithm}, doi={10.4108/eai.9-12-2022.2327655} }- Ling Peng
Year: 2023
Research on the Influence Path of Organizational Resilience on Innovation Performance of Start-up Enterprises Based on Machine Learning Algorithm
MSIEID
EAI
DOI: 10.4108/eai.9-12-2022.2327655
Abstract
Under the impact of the epidemic on the economy, start-ups are facing enormous pressure and challenges. Based on machine learning algorithm, this study obtains business indicators such as registration time, registered capital, number of employees, operating income and R&D investment of start-up enterprises through data mining to construct a Bayesian network model. The purpose of this study is to explore the impact of organizational resilience on innovation performance of start-up enterprises before and after the impact, so as to help start-up enterprises achieve transformation and upgrading and reduce innovation costs. The results show that organizational resistance factors (executive compensation, number of employees, ownership concentration, etc.) have no significant impact on innovation performance, while organizational resilience factors (operating revenue, operating profit, asset-liability ratio, etc.) have a significant impact on innovation performance.
