技术预测的专利分析:特定部门的应用

B. Yoon, Sungjoon Lee
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引用次数: 24

摘要

虽然专利分析是预测技术未来的有力手段,但该分析是否适用于所有行业的技术预测尚不明显。由于不同行业的专利和商业秘密对企业创新的保护策略不同,专利分析可能不适合某些行业。因此,本文旨在通过确定基于专利的专利分析可用于的相关行业,提高专利分析在专利分析中的有用性。为此,首先,将调查专利活动的部门差异,提出专利活动、创新模式和专利统计的影响。其次,通过对专利数据进行s曲线拟合,探讨专利趋势分析在各行业技术预测中的适用性。最后,提出了改进基于专利的TF性能的方法。考虑到研发投入与技术专利申请之间存在时滞,对专利申请状况的比较可以使技术预测更加准确。该方法通过阐明专利分析的应用,为精确TF提供了良好的载体。
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Patent analysis for technology forecasting: Sector-specific applications
Although patent analysis is a powerful technique to forecast the future of technology, it is not obvious whether the analysis is applicable to technology forecasting over all industries. Since the strategies of firms to protect their innovation vary among patents and trade secrets according to the characteristics of industries, patent analysis might be inappropriate to some industries. Therefore, this paper aims at improving the usefulness of patent analysis in TF by identifying relevant industries which the patent-based TF can be used in. To this end, first, sectoral differences in patenting activities will be investigated, presenting implications from patent activities, innovation patterns and patent statistics. Second, the applicability of patent trend analysis for technology forecasting will be explored in each industry by applying S-curve fitting with patent data. Finally, the method to improve the performance of patent-based TF will be suggested. The comparison of patent application status will make technology forecasting accurate, considering a time lag between R&D investment and patent application of the technology. This process will provide a good vehicle for precise TF by clarifying the application of patent analysis.
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