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The Innovation of Robotic Automation on Business Efficiency: Insights from Bibliometric Analysis

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DataCite Commons2024-11-04 更新2025-04-15 收录
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/8Y8EXL
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This study provides a comprehensive bibliometric analysis of the research landscape surrounding robotic process automation (RPA) and its impact on business efficiency. By examining a wide range of academic publications, we have identified key trends, influential authors, institutions, and countries, as well as the most prominent research themes within the field. Our findings reveal a growing interest in RPA research, with a focus on topics such as process optimization, cost reduction, and workforce implications. The thematic analysis highlights the central role of themes like "process automation," "robotics," and "process control," while also shedding light on emerging and declining topics. The annual publication trends demonstrate the rapid growth in RPA research output, particularly in recent years. Overall, the insights derived from this study can inform future research directions, support decision-making for organizations considering RPA adoption, and contribute to the development of more effective and efficient robotic automation strategies. As the field continues to evolve, future research should explore the long-term implications of RPA on organizational structures, employee skills, and the broader socio-economic landscape.
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Harvard Dataverse
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2024-11-04
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