Research on big data in business model innovation based on GA-BP model

Wenbo Jiang, Huaqi Chai
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引用次数: 5

Abstract

Big data has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of innovation in strategy and model in contemporary business organizations. In the paper, data mining perspectives are pointed out about how business model innovation is driven by “key data” based on illustrations about big data. Nine basic factors can be represented as business model innovation. GA-BP model is constructed by the combination of genetic algorithm and BP algorithm to extract the knowledge from the data in data mining environment and to find associations, patterns by analyzing the big data sets. Finally, “key data” that affects the consequence significantly can be grabbed to explore entry points for business model innovation in the era of big data, and to offer enterprises and executives for business model innovation from a new version.
基于GA-BP模型的商业模式创新大数据研究
大数据已经成为实践者和研究人员的一个重要研究领域,反映了当代商业组织中战略和模式创新的规模和影响。本文以大数据为例,从数据挖掘的角度分析了“关键数据”对商业模式创新的驱动作用。商业模式创新可以表现为九个基本因素。将遗传算法和BP算法相结合,构建GA-BP模型,在数据挖掘环境中从数据中提取知识,通过分析大数据集发现关联、模式。最后,抓住影响结果显著的“关键数据”,探索大数据时代商业模式创新的切入点,为企业和高管提供一个全新的商业模式创新视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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