Research on the relationship between enterprise data mining capability and alliance performance based on system dynamics

Yang Ming, Shi Jun, Yang Hang, Zhang Hao
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Abstract

Data mining is one of the important tools for intelligent information processing and decision-making in the information age. Based on the principles and methods of system dynamics, the study establishes a causal relationship model between enterprise data mining capabilities and strategic alliance performance, and uses Vensim software to verify the simulation. Research shows that data mining capability has a positive impact on strategic alliance performance, and the impact of technical alliance's technical support on technical performance is gradient-related. This study provides a reference for enterprises to use data mining technology to improve the performance of strategic alliances.
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基于系统动力学的企业数据挖掘能力与联盟绩效关系研究
数据挖掘是信息时代智能信息处理和决策的重要工具之一。基于系统动力学的原理和方法,建立了企业数据挖掘能力与战略联盟绩效之间的因果关系模型,并利用Vensim软件对仿真结果进行验证。研究表明,数据挖掘能力对战略联盟绩效有正向影响,技术联盟的技术支持对技术绩效的影响呈梯度相关。本研究为企业利用数据挖掘技术提高战略联盟绩效提供了参考。
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