Mapping research on digital innovation in the health sector: a bibliometric approach

IF 3.2 3区 经济学 Q1 ECONOMICS Economics of Innovation and New Technology Pub Date : 2024-06-27 DOI:10.1080/10438599.2024.2368130
Scott W. Hegerty, Marzenna Anna Weresa
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Abstract

In recent years, research on issues such as health digitalization has been growing rapidly. This was partly caused by the COVID-19 pandemic and its growing burden on healthcare systems. In this stu...
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绘制卫生部门数字创新研究图:文献计量学方法
近年来,有关医疗数字化等问题的研究迅速发展。其部分原因是 COVID-19 大流行及其对医疗系统造成的日益沉重的负担。在这项研究中...
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来源期刊
CiteScore
7.20
自引率
3.00%
发文量
30
期刊介绍: Economics of Innovation and New Technology is devoted to the theoretical and empirical analysis of the determinants and effects of innovation, new technology and technological knowledge. The journal aims to provide a bridge between different strands of literature and different contributions of economic theory and empirical economics. This bridge is built in two ways. First, by encouraging empirical research (including case studies, econometric work and historical research), evaluating existing economic theory, and suggesting appropriate directions for future effort in theoretical work. Second, by exploring ways of applying and testing existing areas of theory to the economics of innovation and new technology, and ways of using theoretical insights to inform data collection and other empirical research. The journal welcomes contributions across a wide range of issues concerned with innovation, including: the generation of new technological knowledge, innovation in product markets, process innovation, patenting, adoption, diffusion, innovation and technology policy, international competitiveness, standardization and network externalities, innovation and growth, technology transfer, innovation and market structure, innovation and the environment, and across a broad range of economic activity not just in ‘high technology’ areas. The journal is open to a variety of methodological approaches ranging from case studies to econometric exercises with sound theoretical modelling, empirical evidence both longitudinal and cross-sectional about technologies, regions, firms, industries and countries.
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