探索作为国家研发成功信号的新颖研究提案的潜力:以韩国能源和资源部门为例

IF 3.5 2区 管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jaemin Chung , Janghyeok Yoon , Jaewoong Choi
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引用次数: 0

摘要

国家r&d项目的成功与否,对于维持国内技术经济体系的长期增长,增强国家创新体系的创新能力具有至关重要的作用。虽然成功的研发项目通常具有事后(例如,显著的研发绩效)和事前(例如,新颖的研究内容)因素的特征,但它们的经验关系尚不清楚。本研究定量地考察了研究建议的新颖性是否可以作为成功的国家研发的潜在指标。使用基于转换的语言模型和局部离群因子,我们通过测量研究提案与现有范式的差异来衡量其语义新颖性。我们进行了一项统计分析,以检验研究提案的新颖性如何调节研发投资对研发绩效的影响。对韩国能源和资源部门12,243项研究提案的案例研究表明,拟议的新颖性指标与研发投资和绩效水平都具有统计上的显著相关性。我们还发现,新颖性正调节研发投资与绩效之间的关系。通过揭示不同背景下新颖研究提案、研发投资和绩效之间的关系,实证结果有望为理解成功的国家研发项目提供见解。所提出的方法及其系统流程有望指导专家在开放式创新时代持续监测国家研发趋势和评估研究提案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the potential of novel research proposals as signals of successful national R&D: A case study on energy and resource sector in South Korea
The success of national R&D projects plays a vital role in sustaining the long-term growth of the domestic techno-economic system and strengthening the innovation capacity of the national innovation system. While successful R&D projects are often characterized by ex-post (e.g., significant R&D performance) and ex-ante (e.g., novel research content) factors, their empirical relationship remains unclear. This study quantitatively examines whether the novelty of research proposals serves as a potential indicator of successful national R&D. Using a transformer-based language model and a local outlier factor, we measure the semantic novelty of research proposals by measuring their differentiation from existing paradigms. We conduct a statistical analysis to examine how the novelty of research proposals moderates the effects of R&D investment on R&D performance. A case study of 12,243 research proposals in South Korea’s energy and resource sector shows that the proposed novelty indicator exhibits a statistically significant association with both R&D investment and performance levels. We also show that novelty positively moderates the relationship between R&D investment and performance. The empirical results are expected to provide insights into understanding successful national R&D projects by revealing the relationships between novel research proposals, R&D investment, and performance in various contexts. The proposed approach and its systematic process are expected to guide experts in continuously monitoring national R&D trends and evaluating research proposals in the era of open innovation.
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来源期刊
Journal of Informetrics
Journal of Informetrics Social Sciences-Library and Information Sciences
CiteScore
6.40
自引率
16.20%
发文量
95
期刊介绍: Journal of Informetrics (JOI) publishes rigorous high-quality research on quantitative aspects of information science. The main focus of the journal is on topics in bibliometrics, scientometrics, webometrics, patentometrics, altmetrics and research evaluation. Contributions studying informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, economics and econometrics, and network science, are especially encouraged. JOI publishes both theoretical and empirical work. In general, case studies, for instance a bibliometric analysis focusing on a specific research field or a specific country, are not considered suitable for publication in JOI, unless they contain innovative methodological elements.
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