Deterministic bibliometric disambiguation challenges in company names
Deterministic bibliometric disambiguation challenges in company names
复制标题
DOI：
10.1109/icsc56153.2023.00047
复制
发表时间：
2023-02
期刊：
影响因子：
--
通讯作者：
A. Belz;Alexandra Graddy-Reed;Fnu Shweta;Aleksandar Giga;Shivesh Meenakshi Murali
中科院分区：
文献类型：
--
作者：
A. Belz;Alexandra Graddy-Reed;Fnu Shweta;Aleksandar Giga;Shivesh Meenakshi Murali
同行评审的出版物和专利是知识生成的重要标志，因此作者及其组织可以代表知识转化的代理人。对这些参与者的准确跟踪使学者能够跟踪知识的演变。然而，虽然作者名消歧已被广泛讨论，较少被称为机构名称的文献计量学研究的影响。我们在这里扩大最近定义的现象“专名丰富”，高频率的字用于组织名称的语义原因，从而有助于非随机来源的错误，书目研究。我们使用美国国家航空航天局（NASA）的小企业创新研究（SBIR）第一阶段获奖者作为工程创新领域的用例。我们发现，加州或马萨诸塞州的公司在名称中使用“技术”一词的可能性下降了6%。此外，使用“研究”和“科学”这两个词与奖项数量翻一番有关。我们说明，总的来说，公司执行合理的战略命名决策可以创造确定性的文献计量学的挑战。
Peer-reviewed publications and patents serve as important signatures of knowledge generation, and therefore the authors and their organizations can represent agents of intellectual transformation. Accurate tracking of these players enables scholars to follow knowledge evolution. However, while author name disambiguation has been discussed extensively, less is known about the impact of organization name on bibliometric studies. We expand here on the recently defined phenomenon of "onomastic profusion," high-frequency words used in organization names for semantic reasons, and thus contributing a non-random source of error to bibliographic studies. We use the Small Business Innovation Research (SBIR) Phase I awardees of the National Aeronautics and Space Administration (NASA) as a use case in the field of engineering innovation. We find that firms in California or Massachusetts experience a six percent decrease in the likelihood of using the word "Technologies" in their names. Furthermore, use of the words "Research" and "Science" is linked to doubling the number of awards. We illustrate that, in aggregate, firms executing rational strategic naming decisions can create deterministic bibliometric challenges.