Technology Foresight Index to Support Science and Technology Policy-Making in the Field of Pharmacology/Pharmacy: A Scientometric Analysis

IF 0.6 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Scientometric Research Pub Date : 2024-04-15 DOI:10.5530/jscires.13.1.12

Darlenis Herrera-Vallejera, Salvador Gorbea-Portal

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引用次数: 0

Abstract

Foresight methods have been used by governments to reduce the margin of error in decision-making, but there is no golden rule for foresight activity; rather, several methods are combined to support decision-making. This article proposes an index number to support Technology Foresight in the field of Pharmacology/Pharmacy. The index number was formed by the relationship between bibliometric and human resources variables. First, Principal Components Analysis was used to reduce the initial bibliometric variables proposed by literature. Finally, Data Envelopment Analysis was used to calculate the number of Decision-Making Units (DMU), which are the most prolific institutions in the study country. The study examined 12 DMUs with 2,744 human resources (100% with academic degree) and 1,515 with research category (55.2%) from these, 217 granted patents (17.1% cited patents) and 1,017 papers (92.3% cited papers) were obtained. A simple but robust index was obtained to support decision-making in Technology Foresight. The results obtained from DMUs affect the Technology Foresight Index due to some institutions with low levels of scientific and technological activity and others with many highly qualified personnel. Technology foresight should be performed periodically by governments to reduce uncertainty in the innovation process and to develop highly competitive technologies. In this sense, this index is reliable for decision-making in the field of pharmacology/ pharmaceuticals. It proposes a novel index relating bibliometric variables (output indicator) and human resources variables (input indicator) to foresee the scientific and technological development in the field of Pharmacology/Pharmacy at the national level. In addition, this study includes variables representing scientific (paper) and technological (patent) activity, as well as the impact of both at the international level.

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支持药理学/药学领域科技决策的技术展望指数：科学计量分析

展望方法已被各国政府用于减少决策中的误差，但展望活动没有金科玉律，而是将几种方法结合起来支持决策。本文提出了一个支持药理学/药学领域技术展望的索引号。该指数由文献计量变量和人力资源变量之间的关系形成。首先，采用主成分分析法减少文献提出的初始文献计量变量。最后，使用数据包络分析法计算出决策单位（DMU）的数量，这些决策单位是研究国家中数量最多的机构。研究考察了 12 个 DMU，其中有 2,744 名人力资源（100% 拥有学术学位）和 1,515 名研究人员（55.2%），从中获得了 217 项授权专利（17.1% 的专利被引用）和 1,017 篇论文（92.3% 的论文被引用）。由此得出了一个简单而稳健的指数，为技术展望决策提供支持。由于一些机构的科技活动水平较低，而另一些机构则拥有许多高素质人才，因此从 DMU 获得的结果会影响技术展望指数。政府应定期进行技术展望，以减少创新过程中的不确定性，开发出具有高度竞争力的技术。从这个意义上讲，该指数对药理学/制药领域的决策具有可靠性。本研究提出了一种将文献计量变量（输出指标）和人力资源变量（输入指标）联系起来的新指数，用于在国家层面预测药理学/药学领域的科技发展。此外，本研究还包括代表科学（论文）和技术（专利）活动的变量，以及两者在国际层面的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Scientometric Research INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

1.30

自引率

12.50%

发文量