{"title":"数据驱动动态能力对中国制造企业可持续发展绩效的影响研究","authors":"Min Lin, Fanfan Wang, Yuxin Zhang","doi":"10.1016/j.frl.2025.108628","DOIUrl":null,"url":null,"abstract":"<div><div>In the context of high-quality development, digital transformation has become vital for Chinese manufacturing enterprises. This study examines how data-driven dynamic capabilities (DDDC)—comprising data sensing, data capturing, and digital transformation—affect firms’ sustainable development performance. Using panel data from 20,357 listed Chinese manufacturers (2012–2022), this paper employs regression, mediation, and heterogeneity analyses. Results show that all three DDDC dimensions significantly improve sustainable performance, primarily through enhanced innovation capability. The effects are especially pronounced in non-state-owned and technology-intensive firms. Theoretically, the study advances dynamic capabilities theory by uncovering the micro-mechanisms through which data drives innovation and competitiveness. Practically, it provides guidance for integrating data-centric strategies into digital transformation to foster sustainable growth.</div></div>","PeriodicalId":12167,"journal":{"name":"Finance Research Letters","volume":"86 ","pages":"Article 108628"},"PeriodicalIF":6.9000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the impact of data-driven dynamic capabilities on the sustainable development performance of chinese manufacturing enterprises\",\"authors\":\"Min Lin, Fanfan Wang, Yuxin Zhang\",\"doi\":\"10.1016/j.frl.2025.108628\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In the context of high-quality development, digital transformation has become vital for Chinese manufacturing enterprises. This study examines how data-driven dynamic capabilities (DDDC)—comprising data sensing, data capturing, and digital transformation—affect firms’ sustainable development performance. Using panel data from 20,357 listed Chinese manufacturers (2012–2022), this paper employs regression, mediation, and heterogeneity analyses. Results show that all three DDDC dimensions significantly improve sustainable performance, primarily through enhanced innovation capability. The effects are especially pronounced in non-state-owned and technology-intensive firms. Theoretically, the study advances dynamic capabilities theory by uncovering the micro-mechanisms through which data drives innovation and competitiveness. Practically, it provides guidance for integrating data-centric strategies into digital transformation to foster sustainable growth.</div></div>\",\"PeriodicalId\":12167,\"journal\":{\"name\":\"Finance Research Letters\",\"volume\":\"86 \",\"pages\":\"Article 108628\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2025-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Finance Research Letters\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1544612325018823\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Finance Research Letters","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1544612325018823","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Research on the impact of data-driven dynamic capabilities on the sustainable development performance of chinese manufacturing enterprises
In the context of high-quality development, digital transformation has become vital for Chinese manufacturing enterprises. This study examines how data-driven dynamic capabilities (DDDC)—comprising data sensing, data capturing, and digital transformation—affect firms’ sustainable development performance. Using panel data from 20,357 listed Chinese manufacturers (2012–2022), this paper employs regression, mediation, and heterogeneity analyses. Results show that all three DDDC dimensions significantly improve sustainable performance, primarily through enhanced innovation capability. The effects are especially pronounced in non-state-owned and technology-intensive firms. Theoretically, the study advances dynamic capabilities theory by uncovering the micro-mechanisms through which data drives innovation and competitiveness. Practically, it provides guidance for integrating data-centric strategies into digital transformation to foster sustainable growth.
期刊介绍:
Finance Research Letters welcomes submissions across all areas of finance, aiming for rapid publication of significant new findings. The journal particularly encourages papers that provide insight into the replicability of established results, examine the cross-national applicability of previous findings, challenge existing methodologies, or demonstrate methodological contingencies.
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