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Patent portfolio analysis of the cloud computing industry

机译：云计算行业的专利组合分析

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摘要

In recent years, cloud computing has become a popular theme in the area of network technology; however, related literature on patent analysis is limited. This study seeks to reveal the technological trends and competition status of cloud computing industry by proposing a hybrid patent portfolio analysis scheme. First, the technique for order preference by similarity to ideal solution (TOPSIS) is adopted to integrate the relevant indicators of patent quality into new indices of patent quality, which are normally evaluated by the cited ratio only. Next, multivariate analysis techniques are employed to provide supplementary information to the R&D decision maker. By conducting factor analysis (FA) on patent class codes under the international patent classification (IPC), this study reveals that there are three mainstream technologies of cloud computing: including virtualization and information retrieval, network system, and commercial data process. This study not only uses multidimensional scaling analysis (MDS) to illustrate the proximity of technologies and firms on a perceptual map, but also applies the grey relational analysis (GRA) method to provide quantitative data for interpreting the perceptual relations. Based on the analysis results, the technological strength and the R&D strategies of several big companies are investigated. The findings of this study can provide valuable references for enterprises that wish to develop technologies and deploy their patent portfolios of cloud computing. (C) 2016 Elsevier B.V. All rights reserved.
机译：近年来，云计算已成为网络技术领域的热门主题。但是，有关专利分析的相关文献是有限的。本研究旨在通过提出一种混合专利组合分析方案来揭示云计算行业的技术趋势和竞争状况。首先，采用类似于理想解决方案的顺序偏好技术（TOPSIS）将专利质量的相关指标整合到专利质量的新指标中，这些指标通常仅通过引用比率进行评估。接下来，采用多元分析技术为R＆D决策者提供补充信息。通过对国际专利分类（IPC）下的专利类别代码进行因子分析（FA），该研究表明云计算存在三种主流技术：虚拟化和信息检索，网络系统和商业数据处理。这项研究不仅使用多维尺度分析（MDS）来说明技术和公司在感知图上的接近程度，而且还应用灰色关联分析（GRA）方法提供用于解释感知关系的定量数据。根据分析结果，研究了几家大公司的技术实力和研发策略。这项研究的结果可以为希望开发技术并部署其云计算专利组合的企业提供有价值的参考。 （C）2016 Elsevier B.V.保留所有权利。

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