Chuanhui Liu , Zhongyuan Sheng , Xuetong Hu , Chunxiao Tian
{"title":"携手还是落后？领先企业的数字技术对行业数字化转型的双重影响","authors":"Chuanhui Liu , Zhongyuan Sheng , Xuetong Hu , Chunxiao Tian","doi":"10.1016/j.najef.2024.102305","DOIUrl":null,"url":null,"abstract":"<div><div>This study, utilizing Chinese listed companies from 2007 to 2022, reveals that enterprises can improve their digital transformation strategies by learning from the digital technologies of industry-leading companies. By free-riding on technology adoption, enterprises can reduce their R&D investments in implementing digital transformation projects, as existing digital technologies can be copied and improved for their own use. Furthermore, we find that firms with stronger research capabilities are more efficient at learning from leading firms’ digital technologies. Better digital technologies not only optimize a firm’s strategic plan for digital transformation but also enhance the actual implementation of such projects. This enhancement is achieved by easing financing constraints and diversifying the upstream chain. Our findings are robust to alternative variable measures and endogeneity tests. Overall, we highlight the technological spillovers of digital technology innovations by leading firms, facilitating a deeper digital transformation of other firms through various governance channels.</div></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"75 ","pages":"Article 102305"},"PeriodicalIF":3.8000,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hand in hand or left behind: The dual impact of leading firms’ digital technologies on industry digital transformation\",\"authors\":\"Chuanhui Liu , Zhongyuan Sheng , Xuetong Hu , Chunxiao Tian\",\"doi\":\"10.1016/j.najef.2024.102305\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study, utilizing Chinese listed companies from 2007 to 2022, reveals that enterprises can improve their digital transformation strategies by learning from the digital technologies of industry-leading companies. By free-riding on technology adoption, enterprises can reduce their R&D investments in implementing digital transformation projects, as existing digital technologies can be copied and improved for their own use. Furthermore, we find that firms with stronger research capabilities are more efficient at learning from leading firms’ digital technologies. Better digital technologies not only optimize a firm’s strategic plan for digital transformation but also enhance the actual implementation of such projects. This enhancement is achieved by easing financing constraints and diversifying the upstream chain. Our findings are robust to alternative variable measures and endogeneity tests. Overall, we highlight the technological spillovers of digital technology innovations by leading firms, facilitating a deeper digital transformation of other firms through various governance channels.</div></div>\",\"PeriodicalId\":47831,\"journal\":{\"name\":\"North American Journal of Economics and Finance\",\"volume\":\"75 \",\"pages\":\"Article 102305\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"North American Journal of Economics and Finance\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1062940824002304\",\"RegionNum\":3,\"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":"North American Journal of Economics and Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1062940824002304","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Hand in hand or left behind: The dual impact of leading firms’ digital technologies on industry digital transformation
This study, utilizing Chinese listed companies from 2007 to 2022, reveals that enterprises can improve their digital transformation strategies by learning from the digital technologies of industry-leading companies. By free-riding on technology adoption, enterprises can reduce their R&D investments in implementing digital transformation projects, as existing digital technologies can be copied and improved for their own use. Furthermore, we find that firms with stronger research capabilities are more efficient at learning from leading firms’ digital technologies. Better digital technologies not only optimize a firm’s strategic plan for digital transformation but also enhance the actual implementation of such projects. This enhancement is achieved by easing financing constraints and diversifying the upstream chain. Our findings are robust to alternative variable measures and endogeneity tests. Overall, we highlight the technological spillovers of digital technology innovations by leading firms, facilitating a deeper digital transformation of other firms through various governance channels.
期刊介绍：
The focus of the North-American Journal of Economics and Finance is on the economics of integration of goods, services, financial markets, at both regional and global levels with the role of economic policy in that process playing an important role. Both theoretical and empirical papers are welcome. Empirical and policy-related papers that rely on data and the experiences of countries outside North America are also welcome. Papers should offer concrete lessons about the ongoing process of globalization, or policy implications about how governments, domestic or international institutions, can improve the coordination of their activities. Empirical analysis should be capable of replication. Authors of accepted papers will be encouraged to supply data and computer programs.
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