The innovation dynamic mechanism of platform enterprise business model based on deep learning

Yanjun Kang, Guoquan Liu
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Abstract

With the continuous emergence and rapid development of high and new technologies such as big data, cloud computing, artificial intelligence, mobile Internet, and the Internet of Things, the platform economy has developed rapidly and has become the current mainstream business model. This paper first analyzes the external driving factors that promote the rapid development of platform-based business models, then combines the existing research results of scholars to analyze the components of platform-based business models and uses deep learning methods. The research carried out model construction, drew causal relationship diagrams and flow diagrams, selected typical and representative platform-based enterprises for research, collected relevant data, and verified that the model's effectiveness reached 98%. On this basis, the model was compounded. Simulation and sensitivity analysis explores the critical factor driving platform-type enterprises to carry out business model innovation: the service quality coefficient of platform-type enterprises.

Abstract Image

基于深度学习的平台型企业商业模式创新动力机制
随着大数据、云计算、人工智能、移动互联网、物联网等高新技术的不断涌现和快速发展,平台经济发展迅速,已成为当前的主流商业模式。本文首先分析了促进平台型商业模式快速发展的外部驱动因素,然后结合学者们已有的研究成果,运用深度学习方法分析了平台型商业模式的构成要素。研究进行了模型构建,绘制了因果关系图和流程图,选取了具有典型性和代表性的平台型企业进行研究,收集了相关数据,验证了模型的有效性达到 98%。在此基础上,对模型进行了复合。通过仿真和敏感性分析,探讨了驱动平台型企业进行商业模式创新的关键因素:平台型企业的服务质量系数。
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