{"title":"Generative artificial intelligence and internationalization green innovation: Roles of supply chain innovations and AI regulation for SMEs","authors":"Shaofeng Wang , Hao Zhang","doi":"10.1016/j.techsoc.2025.102898","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates how generative artificial intelligence (GenAI) impacts internationalization green innovation performance in cross-border e-commerce small and medium-sized enterprises (SMEs). Drawing on the resource-based view, we employed a mixed-methods approach, including partial least squares structural equation modeling (PLS-SEM), importance-performance map analysis (IPMA), fuzzy-set qualitative comparative analysis (fsQCA), and semi-structured interviews with 377 cross-border e-commerce SMEs. Our findings reveal that GenAI capability positively influences internationalization green innovation performance, both directly and indirectly, through supply chain exploratory and exploitative innovation. Notably, artificial intelligence (AI) regulation strengthens, rather than weakens, the positive relationship between GenAI capability and supply chain innovation. This highlights the potential for responsible AI governance to foster sustainable practices. The study contributes to understanding technology's role in societal transformation by illuminating how GenAI can promote sustainable business practices in internationalization contexts. Our findings offer valuable insights for policymakers and business leaders on effectively managing the societal implications of AI adoption while pursuing sustainability goals.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102898"},"PeriodicalIF":10.1000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology in Society","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160791X25000880","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL ISSUES","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates how generative artificial intelligence (GenAI) impacts internationalization green innovation performance in cross-border e-commerce small and medium-sized enterprises (SMEs). Drawing on the resource-based view, we employed a mixed-methods approach, including partial least squares structural equation modeling (PLS-SEM), importance-performance map analysis (IPMA), fuzzy-set qualitative comparative analysis (fsQCA), and semi-structured interviews with 377 cross-border e-commerce SMEs. Our findings reveal that GenAI capability positively influences internationalization green innovation performance, both directly and indirectly, through supply chain exploratory and exploitative innovation. Notably, artificial intelligence (AI) regulation strengthens, rather than weakens, the positive relationship between GenAI capability and supply chain innovation. This highlights the potential for responsible AI governance to foster sustainable practices. The study contributes to understanding technology's role in societal transformation by illuminating how GenAI can promote sustainable business practices in internationalization contexts. Our findings offer valuable insights for policymakers and business leaders on effectively managing the societal implications of AI adoption while pursuing sustainability goals.
期刊介绍:
Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.