{"title":"Digital innovation and supply chain risk: A large language model-based analysis","authors":"Siyu Fan , Dongmin Kong , Yifei Wu , Honghai Yu","doi":"10.1016/j.pacfin.2025.102799","DOIUrl":null,"url":null,"abstract":"<div><div>We construct a firm-level supply chain risk measure using a novel approach based on large language models (LLMs) and explore whether digital innovation impacts this risk. Our findings reveal that firms with higher levels of digital innovation exhibit significantly lower supply chain risk exposure. These results are robust and remain significant after controlling for endogeneity issues. Moreover, the mitigating effect of digital innovation is particularly pronounced in firms with greater geographical supply chain distances, higher operational complexity, extensive overseas operations, short-term relationships with partners, and those in the manufacturing sector. We further demonstrate that digital innovation enhances information sharing and improves operational efficiency, serving as potential mechanisms for supply chain risk reduction. Overall, our results emphasize the significant role of digital innovation in enhancing supply chain resilience and contribute to the expanding literature on applying LLMs in finance.</div></div>","PeriodicalId":48074,"journal":{"name":"Pacific-Basin Finance Journal","volume":"92 ","pages":"Article 102799"},"PeriodicalIF":4.8000,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pacific-Basin Finance Journal","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0927538X25001362","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
We construct a firm-level supply chain risk measure using a novel approach based on large language models (LLMs) and explore whether digital innovation impacts this risk. Our findings reveal that firms with higher levels of digital innovation exhibit significantly lower supply chain risk exposure. These results are robust and remain significant after controlling for endogeneity issues. Moreover, the mitigating effect of digital innovation is particularly pronounced in firms with greater geographical supply chain distances, higher operational complexity, extensive overseas operations, short-term relationships with partners, and those in the manufacturing sector. We further demonstrate that digital innovation enhances information sharing and improves operational efficiency, serving as potential mechanisms for supply chain risk reduction. Overall, our results emphasize the significant role of digital innovation in enhancing supply chain resilience and contribute to the expanding literature on applying LLMs in finance.
期刊介绍:
The Pacific-Basin Finance Journal is aimed at providing a specialized forum for the publication of academic research on capital markets of the Asia-Pacific countries. Primary emphasis will be placed on the highest quality empirical and theoretical research in the following areas: • Market Micro-structure; • Investment and Portfolio Management; • Theories of Market Equilibrium; • Valuation of Financial and Real Assets; • Behavior of Asset Prices in Financial Sectors; • Normative Theory of Financial Management; • Capital Markets of Development; • Market Mechanisms.