高分析信息技术:基于专利的合作网络分析

Angélica Pigola, P. R. Costa, L. Carvalho, G. Porto, Alex Fabianne de Paulo
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摘要

涉及大部分公司的技术是基于高分析信息(HAI)技术的技术,作为运营不同类型业务的基本资源。本研究通过对2000年至2020年在世界主要专利局提交的HAI专利进行分析,旨在了解受让人是否一直在合作开发HAI技术以及使用社会网络分析(SNA)开发新兴HAI技术。研究结果表明,HAI专利受让人将其一半的开发优先于内部研发,另一半主要是与其他公司合作。还发现,合作关系是在具有相同国籍的组织之间,特别是在韩国和北美的组织之间。此外,美国是主要的感兴趣的市场,即使HAI技术的专利数量在过去五年中一直在减少。尽管如此,在人工智能技术开发中,作为一种动态能力,被指派者之间的关系能力的识别和资源的重新配置得到了证明。研究结果可能有助于识别在不同行业(特别是服务业)中仍然出现的HAI,并支持战略研发(R&D)决策过程,以确定投资的优先次序,确定新的创新伙伴关系,或合作制定公共政策以促进新的HAI技术开发。
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High Analytics Information Technologies: A Patent-Based Cooperation Network Analysis
Technologies that involve great part of firms are those based on high analytics information (HAI) technologies as an essential resource for operating different types of businesses. Through HAI patents analysis filed between 2000 and 2020 in the main patent offices in the world, this study aims to understand whether assignees have been developing HAI technologies in cooperation and emerging HAI technologies using social network analysis (SNA). Findings show that HAI patents assignees prioritize half of their developments in R&D internally, and the other half in partnership with other companies, primarily. It is also identified that cooperation relations are between organizations with the same nationality, especially those in South Korean and North American. In addition, United States is the main market of interest even the number of HAI technologies patented have been decreasing over the last five years. Despite this context, the identification of relational capabilities between assignees and the reconfiguration of resources, as a dynamic capability, is evidenced in HAI technologies development. Findings may support to identify HAI that still emerge in different industries, especially in service industry and support strategic Research & Development (R&D) decision-making processes to prioritize investments, identify new partnerships to innovate, or collaborate to develop public policies to foster new HAI technologies development.
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