AI and ML patent intensity and firm performance: A machine learning-based lagged analysis

IF 6.4 3区管理学 Q1 BUSINESS

European Research on Management and Business Economics Pub Date : 2025-07-31 DOI:10.1016/j.iedeen.2025.100291

Melih Sefa Yavuz , Hilal Çalik

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引用次数: 0

Abstract

This study investigates the long-term impact of artificial intelligence (AI) and machine learning (ML) patent intensity on firms’ performance, focusing on innovation-driven competitive advantage. Using a panel of 20 technology-intensive firms from 2013 to 2023, this study employs eXtreme gradient boosting (XGBoost) and random forest algorithms to capture nonlinear relationships between AI and ML patent intensity and key financial indicators, including return on assets (ROA), operating margin, and net profit margin. The results indicate that AI and ML patents significantly enhance ROA and operating margins, particularly with a five-year lag, highlighting the delayed but positive influence of such innovations. However, the effect on net profit margin remains limited. These findings underscore the strategic value of AI and ML innovation in driving sustainable firm performance while also emphasizing the importance of long-term planning and complementary investments for maximizing financial returns.

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人工智能和机器学习专利强度与企业绩效：基于机器学习的滞后分析

本研究探讨了人工智能（AI）和机器学习（ML）专利强度对企业绩效的长期影响，重点关注创新驱动的竞争优势。本研究以2013年至2023年的20家技术密集型公司为样本，采用极端梯度增强（XGBoost）和随机森林算法来捕捉人工智能和机器学习专利强度与关键财务指标（包括资产回报率（ROA）、营业利润率和净利润率）之间的非线性关系。结果表明，人工智能和机器学习专利显著提高了ROA和营业利润率，特别是在五年的滞后期，突出了此类创新的延迟但积极的影响。然而，对净利润率的影响仍然有限。这些发现强调了人工智能和机器学习创新在推动可持续公司绩效方面的战略价值，同时也强调了长期规划和补充性投资对于最大化财务回报的重要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

European Research on Management and Business Economics Multiple-

CiteScore

11.70

自引率

3.40%

发文量

审稿时长

50 weeks

期刊介绍： European Research on Management and Business Economics (ERMBE) was born in 1995 as Investigaciones Europeas de Dirección y Economía de la Empresa (IEDEE). The journal is published by the European Academy of Management and Business Economics (AEDEM) under this new title since 2016, it was indexed in SCOPUS in 2012 and in Thomson Reuters Emerging Sources Citation Index in 2015. From the beginning, the aim of the Journal is to foster academic research by publishing original research articles that meet the highest analytical standards, and provide new insights that contribute and spread the business management knowledge