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创新是企业发展的重要手段,尤其是在产品同质化严重,成本升高,市场竞争激烈的时代,企业创新能力直接决定了企业的发展和未来。企业创新活动表征参数与模型研究,一直是管理学的研究重点。在管理实务中,创新活动关键评价参数主要依靠行业专家的经验给出,创新评价模型则依据管理学进行建模,造成严谨的创新评价与不严谨的评价参数构成的评价潜在悖论隐患,本文基于关键信息的网络大数据,利用关键字比较的方法,使专家的评价参数域得到扩展和细化,提高参数的可靠性,研究结果表明具有明显提高模型准确度的作用。
Innovation is an important means of enterprise development. Especially in times of serious homogenization of products, rising costs and fierce market competition, the innovation ability of enterprises directly determines the development and future of the enterprise. Enterprise innovation activity characterization parameters and model studies, has always been the focus of management studies. In management practice, the key evaluation parameters of innovation activities mainly depend on the experience of industry experts. The innovation evaluation model is based on management modeling, resulting in rigorous innovation evaluation and less rigorous evaluation parameters constitute potential risk of potential paradox. Based on the key information of network big data, the method of keyword comparison is used to expand and refine the evaluation parameter domain of experts and improve the reliability of the parameters. The research results show that it has the effect of obviously improving the model accuracy.