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Assessing the Impact of Digitalization and Automation on Operational Efficiency and Financial Performance of Manufacturing SMEs: Using AI and IR approach based on numerical and text data.

CORDIS · observation · Publication date unknown

lization and Automation (DA) on the operational and financial performance of manufacturing Small and Medium Enterprises (SMEs) in Sweden. The research employs an innovative hybrid approach, combining Artificial Intelligence (AI) and Information Retrieval (IR) techniques to analyze both numerical data and unstructured text from company reports and scientific literature. The project's main objectives include: - Developing and validating text-based measures to quantify DA levels in manufacturing SMEs - Assessing the impact of DA on operational efficiency and financial performance - Identifying optimal levels of DA for manufacturing SMEs The methodology involves creating a dictionary of DA terms, applying topic modeling to company reports and academic literature, and constructing panel datasets for regression analysis. This approach allows for a more comprehensive understanding of DA's effects on SMEs compared to traditional survey-based methods. The research is structured into six work packages, covering project management, training and career development, data collection, data analys

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recordType

award

status

SIGNED

region

EU

value

252180

unit

EUR