New intelligent empowerment for digital transformation

Peng Yifeng, Gao Chen
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Abstract

This study proposes an innovative evaluation method based on large language models (LLMs) specifically designed to measure the digital transformation (DT) process of enterprises. By analyzing the annual reports of 4407 companies listed on the New York Stock Exchange and Nasdaq from 2005 to 2022, a comprehensive set of DT indicators was constructed. The findings revealed that DT significantly improves a company's financial performance, however, different digital technologies exhibit varying effects on financial performance. Specifically, blockchain technology has a relatively limited positive impact on financial performance. In addition, this study further discovered that DT can promote the growth of financial performance by enhancing operational efficiency and reducing costs. This study provides a novel DT evaluation tool for the academic community, while also expanding the application scope of generative artificial intelligence technology in economic research.
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数字化转型的全新智能赋能
本研究提出了一种基于大型语言模型(LLM)的创新评估方法,专门用于衡量企业的数字化转型(DT)进程。通过分析 2005 年至 2022 年在纽约证券交易所和纳斯达克上市的 4407 家公司的年度报告,构建了一套全面的 DT 指标。研究结果表明,数字技术能显著提高公司的财务绩效,但不同的数字技术对财务绩效的影响各不相同,具体而言,区块链技术对财务绩效的积极影响相对有限。此外,本研究还进一步发现,数字技术可以通过提高运营效率和降低成本来促进财务绩效的增长。本研究为学术界提供了一种新颖的 DT 评估工具,同时也拓展了生成式人工智能技术在经济研究中的应用范围。
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